Radiology
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Figures Only
Right arrow Full Text (PDF)
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Fleischmann, D.
Right arrow Articles by Napel, S.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Fleischmann, D.
Right arrow Articles by Napel, S.
(Radiology. 2000;216:185-196.)
© RSNA, 2000


Medical Physics

Stair-Step Artifacts with Single versus Multiple Detector-Row Helical CT1

Dominik Fleischmann, MD 2, Geoffrey D. Rubin, MD, David S. Paik, MS, Shin Y. Yen, PhD, Paul R. Hilfiker, MD, Christopher F. Beaulieu, MD, PhD and Sandy Napel, PhD

1 From the Department of Radiology (D.F., G.D.R., P.R.H., C.F.B.) and Radiological Science Library (D.S.P., S.Y.Y., S.N.), Stanford University School of Medicine, 300 Pasteur Dr, S-072 Stanford, CA 94305-5105. From the 1999 RSNA scientific assembly. Received August 2, 1999; revision requested October 5; revision received October 28; accepted November 10. D.F. supported by the Austrian Science Fund, Vienna. G.D.R. supported by National Institutes of Health grant R01 HL 58915. D.S.P. supported by the National Library of Medicine, Bethesda, Md. P.R.H. supported by the Swiss National Science Foundation and the Holderbank Foundation, Zurich, Switzerland. S.N. supported by National Institutes of Health grant R01 CA 72023. Manuscript preparation supported in part by the Ludwig Boltzmann Institute for Radiological Sciences, Vienna, Austria. Address correspondence to G.D.R. (e-mail: grubin@stanford.edu).


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
PURPOSE: To compare the effects of acquisition parameters on the magnitude and appearance of artifacts between single and multiple detector-row helical computed tomography (CT).

MATERIALS AND METHODS: A cylindric (12.7 x 305.0-mm) acrylic rod inclined 45° relative to the z axis was scanned at the isocenter and 100 mm from the isocenter with single detector-row (single-channel) helical CT (beam width, 1–10 mm; pitch, 1.0, 2.0, or 3.0) and multiple detector-row (four-channel) helical CT (detector width, 1.25, 2.5, 3.75, and 5 mm; pitch, 0.75 or 1.5). The SD of radius measurements along the rod (SDr) was used to quantify artifacts in all 72 data sets and to analyze their frequency patterns. Volume-rendered images of the data sets were ranked by six independent and blinded readers; findings were correlated with acquisition parameters and SDr measurements.

RESULTS: SDr was smaller in four- than in single-channel helical CT for any given table increment (TI). In single-channel helical CT, SDr increased linearly with beam width and geometrically with pitch. In four-channel helical CT, SDr measurements were directly proportional to the TI, regardless of the detector width and pitch combination used. Off-center object position on average increased SDr by a factor of 1.6 for single-channel helical CT and by a factor of 2.0 for four-channel helical CT. Subjective rankings of image quality correlated excellently with SDr (Spearman r = 0.94, P < .001).

CONCLUSION: Artifacts are quantitatively and subjectively smaller with four- compared with single-channel helical CT for any given TI.

Index terms: Computed tomography (CT), artifact, **.12113 • Computed tomography (CT), helical technology • Computed tomography (CT), three-dimensional • Test objects


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Helical computed tomography (CT) has dramatically improved the performance of x-ray CT by converting it from a two-dimensional into a true three-dimensional (3D) imaging modality and thus enabled new applications involving multidimensional and volumetric imaging, such as CT angiography (1). Helical CT, however, has unique limitations introduced by the continuous table translation during data acquisition that are only partially compensated by means of current image reconstruction algorithms. Apart from the well-recognized effects on the section-sensitivity profile and average image noise (2,3), the particular geometry of helical CT causes complex periodic asymmetries and inconsistencies in the volumetric data sets that give rise to less-recognized effects such as variable noise distribution and section thickness across the transverse plane (4,5) and longitudinal aliasing (6). These phenomena appear as artifacts on transverse images and as stair steps, or stripes (zebra artifact) on multiplanar reformation or 3D-rendered images (7). The most apparent of these artifacts is the stair-step artifact associated with surfaces or object borders inclined relative to the table translation direction (8,9). Stair-step artifacts characteristically deteriorate the appearance of two-dimensional reformation and 3D-rendered objects and may affect the accuracy of volume or diameter measurements of structures within the scanned volume (10).

The technical aspects of artifacts are complex, but their analysis is important to assess their effect on image quality. This is particularly true for new multiple detector-row CT systems, which are a recent innovation whose tradeoffs have not yet been characterized. To optimize image quality, artifacts have to be taken into account when acquisition parameters are selected. Thus, knowledge of their magnitude and relation to the acquisition parameters is of paramount importance to the radiologist and the technician. In this experimental study, we aimed to characterize and compare the effects of acquisition parameters and object position on the magnitude, frequency, and subjective appearance of stair-step artifacts between single and multiple detector-row helical CT.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
To analyze stair-step artifacts, we quantified and subjectively rated the surface distortion of a rod phantom scanned at 45° inclination relative to the transverse plane with use of one standard single and one multiple detector-row scanner (Hi-Speed CT/i and LightSpeed QX/i, respectively; GE Medical Systems, Milwaukee, Wis) by systematically varying acquisition parameters and the position of the phantom. A cylindric rod (12.5-mm diameter x 305-mm length) made from acrylic plastic was used as a test object. The rod, which had an attenuation of 130 HU, was suspended in vegetable oil (attenuation, -100 HU) in a rectangular acrylic container to simulate the attenuation difference between an enhancing artery and retroperitoneal fat.

Single-Channel Helical CT
Standard single detector-row (single-channel) helical CT (see Glossary at end of article) was performed with a 360° gantry rotation time of 1 second. First, the center of the rod was placed in the isocenter of the gantry by using the scan localizing light at a 45° angle relative to the longitudinal or z axis of the scanner (in the coronal plane). The rod was scanned with beam widths (collimation) of 1, 3, 5, 7, and 10 mm and pitch (table translation per 360° gantry rotation per beam width) of 1.0, 2.0, and 3.0 for each of the beam widths. Tube voltage was 120 kVp in all series. Tube current settings are given in Table 1. Field of view of 256 mm, matrix of 512 x 512, and 180° linear interpolation algorithm were used to reconstruct images at intervals corresponding to approximately half the beam width of each series (Table 1). The table travel along the z axis was 18–21 cm for all series, except for the 1-mm collimation 1.0 pitch series in which tube loading did not allow scanning of the entire rod within a single acquisition. Instead, the central portion of the rod was scanned for a 50-mm range along the z axis. Subsequently, the table of the scanner was elevated to position the rod 100 mm off the isocenter of the scanner (in the anterior or y direction), and the sequence of acquisitions was repeated with identical parameter settings.


View this table:
[in this window]
[in a new window]

 
TABLE 1. Acquisition Parameters and Image Reconstruction Settings for Single-Channel Helical CT
 
Four-Channel Helical CT
The phantom was similarly scanned with a multiple detector-row (four-channel) CT scanner with a 360° gantry rotation time of 0.8 second. The scanner is equipped with a scalable four-channel detector consisting of 16 detector cells every 1.25 mm along the z axis. Scans were acquired with detector width (collimation) of 1.25, 2.5, 3.75, and 5 mm (by selecting switches to combine up to four individual detector cells in the z direction). With these four detector width settings, two pitches (table advancement per 360° gantry rotation divided by 4 x detector width) of 0.75 (referred to by the manufacturer as HQ for "high-quality mode") and 1.5 (HS for "high-speed mode") translate into six TIs (table translation distances per rotation): 3.75, 7.5, 11.25, 15, 22.5, and 30 mm (Table 2).


View this table:
[in this window]
[in a new window]

 
TABLE 2. Acquisition Parameters and Image Reconstruction Settings for Four-Channel Helical CT
 
Note that our definition of pitch follows the traditional definition as used for the well-established CT dose descriptor: Pitch = TI/(n x S), where n is the number of sections and S is the nominal section thickness of each channel. This definition can be applied to all CT systems and is thus more robust than the manufacturer's definition of pitch (which results in 3.0 pitch for the high-quality mode and 6.0 pitch for the high-speed mode). We believe that the robust and vendor-independent definition of pitch as used in this study should be used consistently in the scientific literature.

A two-point linear interpolation algorithm, which corresponds to 180° linear interpolation as used in single-channel helical CT (11), was used to reconstruct the primary series. In primary series, the nominal section thickness equaled the detector width. In addition, secondary series were obtained with use of a new variable-thickness interpolation algorithm. The z-filtering algorithm allowed interpolation of more than two points in the z direction for each projection angle, forming a thicker, but supposedly less noisy, composite section (11). This approach was used to generate secondary series with a nominal section thickness that was 1.33, 1.5, or 2 times greater than the detector width. For all four-channel helical CT series, the reconstruction interval was set at half the nominal section thickness of the reconstructed images (Table 2). The reconstruction field of view was 256 mm and matrix was 512 x 512, resulting in transverse pixel dimensions of 0.5 x 0.5 mm. The scanning length along the z axis was 18–21 cm for all four-channel helical CT acquisitions, which comprised 25–30 cm of the inclined rod.

Quantitative Image Analysis
All 72 data sets were networked to a workstation (O2; Silicon Graphics, Mountain View, Calif). To measure the magnitude of stair-step artifacts, we quantified the distortion of the surface profile of the rod in the coronal plane in each data set as illustrated schematically in Figure 1. First, a straight digital centerline path was computed through the rod (12). The radial distance from the centerline path to the surface of the rod was then automatically determined with use of a threshold of 0 HU on trilinearly interpolated image data to define the rod surface. In each data set, the radial distance was computed at 360 equidistant intervals along the centerline path over a 180-mm range in the longitudinal (z) direction. Thus, the sampling intervals between radial distance measurements were approximately 0.71 mm (0.5mm x {surd}2) along the path, to match exactly 0.5 mm relative to the table translation (z) direction. For the 1-mm collimation, 1.0 pitch single-channel helical CT series, the sampling rate was three times greater to collect 300 radial distance samples in the shorter (50 mm in z) rod segments. The radial distance measurements of each series were plotted against their longitudinal (z) positions to derive what we refer to as longitudinal profiles of the rod radius.



View larger version (25K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 1. Schematic depicts measurement of stair-step artifacts in a 45° inclined acrylic rod phantom (attenuation, 130 HU) immersed in vegetable oil (attenuation, -100 HU). A profile of 360 radial distance (r) measurements were obtained between the computed centerline path ({block}) and the surface of the rod, with use of an attenuation threshold of 0 HU. SDr in the coronal plane served as the measure of artifactual surface distortion of the rod.

 
SD of radius measurements along the rod.—The magnitude of stair-step–like surface distortions of the inclined rod was calculated as the SD of 150 contiguous radius measurements (SD of radius measurements along the rod [SDr]). The radius measurements were made from the portions of the rod closest to the isocenter, and the same portion was used for the corresponding off-center series.

Frequency analysis.—We used a fast Fourier transform of the longitudinal profiles to identify and quantify simultaneously occurring and overlapping artifact frequencies in each data set. For each data set, we subtracted 256 radius measurements from the respective mean radius and computed a 512-point fast Fourier transform, resulting in 256 positive frequencies. As the sampling interval relative to z was 0.5 mm, the corresponding wavelengths in the table translation direction ranged from (512 x 0.5 mm)/1 to (512 x 0.5 mm)/256, which equals from 256 to 1 mm along the z axis. For the 1-mm collimation, 1.0 pitch single-channel helical CT series, the wavelengths were from 256/3 to 1/3 mm in the z direction. The quantitative measures of artifacts (ie, SDr and the spectral magnitudes of contributing frequency components) were correlated with the beam width (single-channel helical CT), detector width (four-channel helical CT), nominal section thickness (four-channel helical CT), pitch, and TI settings for both isocenter and off-center series with use of linear regression analysis. Pearson correlation coefficients were calculated, and a P value of .05 was used as the threshold for significant differences.

Subjective Image Analysis
To determine if the measures of artifact magnitude corresponded to visual perception of surface irregularities, all 72 data sets were 3D rendered (VOXELVIEW 2.5.4; Vital Images, Minneapolis, Minn) with parameters commonly used for 3D display of CT angiographic data. The same parameters were used for all rendered images. Frontal views were recorded from each data set. Each image was digitally rotated into a horizontal orientation and edited to remove all background information, such as the walls of the container holding the phantom (PHOTOSHOP 5.0; Adobe Systems, San Jose, Calif). Rendered images of the 1-mm collimation, 1.0 pitch single-channel helical CT series were electronically multiplied in the direction of the rod axis to give the same length of the phantom as in all the other series.

The images were coded with random numbers and then printed in color on 45 x 110-mm cards with use of a photographic-quality dye-sublimation printer (NP-1660; Codonics, Middleburg Heights, Ohio). All 72 cards were given to each of six independent readers (four radiologists [D.F., G.D.R., P.R.H., C.F.B.] and two nonmedical imaging scientists [D.S.P., S.N.]) in random order together with the original plastic rod. The readers, blinded to the scanner model and the acquisition technique, were asked to rank the cards according to how well the images on the cards represented the rod. The median rank and the range of the ranks assigned by the six readers were derived for each CT series. The medians of the subjective ranks were then correlated with the quantitative measurements (Spearman rank correlation). A P value of .05 was considered the threshold for significant differences.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Tables 3 and 4 present the magnitude of artifacts, measured as SDr expressed in millimeters, for all series obtained at the isocenter and off center with both scanners.


View this table:
[in this window]
[in a new window]

 
TABLE 3. Magnitude of Stair-Step Artifacts at Single-Channel Helical CT
 

View this table:
[in this window]
[in a new window]

 
TABLE 4. Magnitude of Stair-Step Artifacts at Four-Channel Helical CT
 
Single-Channel Helical CT
Beam width.—In Figure 2, the magnitude of artifacts (SDr) is plotted as a function of beam width for all pitches and both positions relative to isocenter. The magnitude of artifacts increased linearly with beam width (Pearson r, 0.89–0.99; P < .05 for all correlations). The slopes (SDr divided by beam width [in millimeters]) of these linear relations were higher with increasing pitch (average 0.02, 0.04, and 0.06, for pitch of 1.0, 2.0, and 3.0, respectively), but the slopes were not significantly influenced by scanning at the isocenter or 100 mm off the isocenter. In off-center series, however, the y intercept was greater.



View larger version (25K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 2. Single-channel helical CT. Line graph illustrates linear relationship between artifact magnitude and beam width for all pitch settings and isocenter (solid keys) and off-center (open keys) series. Higher pitch values are reflected by steeper slopes, but off-center scanning increases the intercepts.

 
Pitch.—Increased pitch was always associated with increased artifacts, as shown in Figure 3. On average for all chosen beam widths, increasing the pitch from 1.0 to 2.0 approximately doubled SDr (isocenter, x2.2; off center, x1.9). Increasing the pitch from 1.0 to 3.0 roughly quadrupled SDr (isocenter, x4.9; off center, x3.3). An outlier in this respect is the 1-mm beam width series, which demonstrated the most shallow and thus most favorable increase in artifacts associated with increasing pitch (possibly due to the greater effective section thickness of the 1-mm collimation, 1.0 pitch series with FWHM of 1.5 mm).



View larger version (19K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 3. Single-channel helical CT. Line graphs show effect of increasing pitch (relative to 1.0 pitch) on artifact magnitude. Note the doubling of artifacts when pitch is increased from 1.0 to 2.0. Note also the more than fourfold increase in artifacts when pitch is increased from 1.0 to 3.0 in most of the isocenter series (solid keys) (except with 1-mm beam width), which suggests an underlying geometric relationship between pitch and artifact magnitude.

 
TI.—Plotting of artifact magnitude as a function of TI (table translation per one gantry rotation) displays the combined effects of beam collimation and pitch settings into a practical context where the volume of coverage determines the selection of acquisition parameters. Figure 4 shows that series obtained with either 1.0 or 2.0 pitch resulted in comparable SDr for a given TI, whereas 3.0 pitch series demonstrated unfavorably greater artifact magnitude. This means that if 3.0 pitch is excluded, TI controls artifact magnitude independent of pitch or beam width settings.



View larger version (20K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 4. Single-channel helical CT. Line graphs show relationship between artifact magnitude and TI. Series obtained with equal beam widths (collimations) are connected graphically by lines and annotated with their respective beam width setting (in parentheses). Solid keys indicate both 1.0 and 2.0 pitch series to emphasize that these series combined together closely approximate a single linear relationship between TI and artifacts. Open keys indicate the 3.0 pitch series, which show disproportionately larger artifacts (except with 1-mm collimation) for a given TI and beam width combination.

 
Off-center scanning.—The values in Table 3 show that the artifact magnitude (SDr) was larger in 35 of 36 series obtained 100 mm off center compared with their isocenter counterparts, on average by a factor of 1.6. The only exception was the 10-mm beam width, 3.0 pitch series, in which off-center scanning did not further increase the artifact magnitude. Generally, 1-mm collimated scans were affected more (x1.9–2.5) than were thicker scans. As pitch increased, the relative increase in artifacts when scanning off center diminished (pitch, 1.0, x1.6–2.5; pitch 2.0, x1.4–1.9; pitch 3.0, x1.0–1.9).

Four-Channel Helical CT
Detector width (primary four-channel helical CT series).—Analogous to beam width in single-channel helical CT, the relationships between the artifact magnitude and the detector widths of four-channel helical CT were linear. Figure 5 demonstrates that y intercepts and slopes (SDr divided by detector width [in millimeters]) increased with both pitch and off-center object position: 0.75 pitch, center y = 0.0 + 0.02x, off-center y = 0.03 + 0.04x; 1.5 pitch, center y = 0.01 + 0.04x, off-center y = 0.06 + 0.09x; P < .01 for all correlations.



View larger version (21K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 5. Four-channel helical CT. Line graph shows artifact magnitude versus detector width in primary series and illustrates their linear relationship. Solid keys and solid regression lines represent series obtained at the isocenter. Open keys and dashed regression lines represent off-center series.

 
Effect of variable thickness (z-filter) interpolation (secondary four-channel helical CT series).—It is apparent from Table 4 that secondary series obtained with wider z-filter width and thus wider nominal section thickness generally demonstrated an increased artifact magnitude when compared with their underlying two-point linear interpolated primary series (obtained at identical detector widths). In general, this effect was diminished for off-center series. Figure 6 illustrates this relation by plotting artifact magnitude against the nominal section thickness. Primary series are linked graphically to their corresponding thicker secondary series. This demonstrates that in most instances, increasing the z-filter width increased the artifact magnitude, but to a lesser degree than increasing the detector width (and thus TI) would have, to achieve the same nominal section thickness. In other words, for an intended nominal section thickness, the artifacts are smallest if the acquisition was obtained with the smallest TI (longest acquisition duration) available. This relationship is best demonstrated with the 5-mm nominal section thickness series (Fig 6). The smallest artifacts in the six series with 5.0-mm nominal section thickness were obtained with 0.75 pitch in a secondary series with settings of detector width of 2.5 and TI of 7.5, followed by another secondary series with detector width of 3.75 and TI of 11.25, followed by a primary series with detector width of 5 and TI of 15, and next with 1.5 pitch, in a secondary series with detector width of 2.5 and TI of 15, followed by another secondary series with detector width of 3.75 and TI of 22.5, followed by a primary series with detector width of 5 and TI of 30.



View larger version (22K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 6. Four-channel helical CT. HQ indicates 0.75 pitch, HS indicates 1.5 pitch. Line graphs show effect of z filtering on artifact frequency. Artifacts are plotted against nominal section thickness. Primary series (in which nominal section thickness equals the detector width) are indicated by solid keys and graphically connected to their corresponding secondary series (open keys), which were acquired with use of the same detector width but reconstructed with use of z filtering, thus resulting in a greater nominal section thickness. Note that increasing the nominal section thickness with use of z filtering within each group of connected series increases artifact frequency only slightly. Note that groups of connected series are annotated (in parentheses) with their respective underlying detector width. The 1.5 pitch with 3.75-mm detector width is not available. Note the different scales of artifact magnitude at isocenter and off center.

 
Pitch.—Pairwise comparisons of 0.75 and 1.5 pitch series in Table 4 demonstrate a fairly consistent increase in SDr by a factor of 2 (isocenter, x1.9; off center, x2.1). This was true for primary two-point linear and secondary z-filter–interpolated data sets. This approximates the increases in artifact magnitude with single-channel helical CT when the pitch was doubled from 1.0 to 2.0.

TI.—For a given object position, artifact magnitude (SDr) increased linearly with TI (Fig 7). This relationship was independent of pitch, as shown by the similar slopes of 0.75 and 1.5 pitch series when obtained either at the isocenter or off center, respectively (Table 5). Furthermore, as previously noted, secondary series had only slightly greater SDr compared with their primary series counterparts. Thus for a given object position, the TI is the most useful predictor of artifact magnitude in four-channel helical CT, as it is independent from pitch, detector width, or z-filter width.



View larger version (23K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 7. Four-channel helical CT. Line graphs show relationship between artifact magnitude and TI. Note that the series closely overlap and exhibit similar slopes of regression lines (Table 5). In fact, artifact magnitude as a function of TI is independent of pitch.

 

View this table:
[in this window]
[in a new window]

 
TABLE 5. Correlation between Stair-Step Artifact Magnitude and TI at Four-Channel Helical CT
 
Off-center scanning.—The values in Table 4 demonstrate a straightforward effect of 100 mm off-center data acquisition on the artifact magnitude in four-channel helical CT. SDr roughly doubled (x2.0) off center compared with the corresponding isocenter value. This was true for all data pairs and independent of the detector width, reconstruction filter, and TI. This off-center effect is relatively larger than that in single-channel helical CT in which SDr increased by an average factor of 1.6.

Artifact Magnitude with Single- versus Four-Channel Helical CT
From a practical standpoint, TI is the most suitable scale with which to compare the artifact magnitude between single- and four-channel helical CT. As 3.0 pitch is not used clinically for single-channel helical CT, these series were not considered for this analysis. To facilitate the comparison, the remaining 1.0 and 2.0 pitch single-channel helical CT series were pooled and regrouped into isocenter and off-center series. With 0.75 and 1.5 pitch, primary series in four-channel helical CT were pooled analogously into isocenter and off-center groups. When artifact magnitude was plotted against TI for single- and four-channel helical CT together (Fig 8), SDr was invariably smaller with the latter than with the former for any given TI and object position. The slopes of the regression lines were steeper for both isocenter and off-center single- compared with four-channel helical CT (Table 6). Figure 8, however, also illustrates the effect of off-center object position on the artifact magnitude, which is more pronounced in four- than in single-channel helical CT.



View larger version (29K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 8. Line graph compares artifact magnitude in single- (1S-hCT) versus four-channel (4S-hCT) helical CT with TI as a common denominator that directly translates into volume coverage. Note that four-channel helical CT leads to smaller artifacts than does single-channel helical CT at any given TI. For single-channel helical CT, 1.0 and 2.0 pitch series are pooled together (3.0 pitch series were excluded from this comparison). For four-channel helical CT, only primary series are included in this comparison.

 

View this table:
[in this window]
[in a new window]

 
TABLE 6. Correlation of Artifact Magnitude versus TI at Single-Channel Helical CT (1.0 and 2.0 Pitch) and at Four-Channel Helical CT (Primary Series)
 
Frequency Analysis
Single-channel helical CT.—Figure 9 provides an example of the profile of radial distance measurements from a pair (isocenter and off center) of single-channel helical CT data sets obtained with 3-mm beam width and 6-mm TI (2.0 pitch), together with their corresponding frequency representations and 3D-rendered images of the data. We observed identical patterns in all of the remaining single-channel helical CT data sets, consisting of small stair steps recurring at intervals corresponding to half the TI, or in other words, at an artifact frequency of two per TI. Superimposed was a coarser pattern repeating every two of the small stair steps at an artifact frequency of one per TI. At the isocenter, the smaller amplitude, higher frequency artifacts prevailed. Off center, the low-frequency artifact component approximately doubled, whereas the high-frequency artifact component remained constant. The spectral magnitudes of the high-frequency (two per TI) and the lower frequency (one per TI) components were recorded for further analysis in all series and are described subsequently.



View larger version (47K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 9. Single-channel helical CT. Artifact patterns observed in isocenter and off-center single-channel helical CT series acquired with 3-mm beam width, 6-mm TI (2.0 pitch), and a reconstruction interval of 1.5 mm. A, Radius measurements of the rod are plotted as functions of their longitudinal (z) position. In the isocenter series, a fine pattern of surface irregularities is visible. Off center, the pattern appears coarser and with a greater amplitude. B, In the frequency domain, the periodicity and magnitude of the artifactual surface irregularities are reflected by two circumscribed peaks in the frequency spectrum at the 6- and 3-mm-1 bands, which represent the frequencies of one and two artifacts per TI in these series. C, In 3D-rendered images, the artifacts are magnified (circles) and appear as tiny ripples on the surface of the rod at the isocenter and as a noticeably coarser pattern off center.

 
Four-channel helical CT.—The general patterns of four-channel helical CT–related artifacts are shown in Figures 10 and 11. In the longitudinal profiles of the radial distance measurements (Figs 10, part A; 11, part A), four-channel helical CT artifacts appeared as very small, high-frequency surface distortions, which are most evident in the isocenter series. Superimposed over these small stair-step–like artifacts, we detected a second low-frequency undulating artifactual surface distortion of the rod, which appeared and increased in magnitude with greater distance from the isocenter. The frequency representations of artifacts are given in Figures 10, part B and 11, part B. In the 3D-rendered images of the data sets, the high-frequency components were barely perceptible. However, the lower frequency undulating component was visible and distorted the appearance of the rod, notably in the off-center series (Figs 10, part C; 11, part C).



View larger version (45K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 10. Four-channel helical CT. Artifact pattern with 1.5 pitch and detector width of 2.5 mm, 15-mm TI, and 1.25-mm reconstruction interval. A, Longitudinal profile of the rod surface shows a very fine pattern of surface irregularities at the isocenter. To the right of the rod, a superimposed undulating distortion of the rod surface can be seen. Off center, this undulating artifact component dominates the very fine irregularities, which are still visible. B, Frequency analysis shows two characteristic peaks at frequencies corresponding to wavelengths of 15 and 2.5 mm, which correspond to frequencies of one and six artifacts per TI, respectively. Note the marked increase in the lower frequency component (one artifact per TI) when data acquisition is performed off center. C, In 3D-rendered images, the high-frequency artifacts are hardly perceptible, which leads to an almost perfectly smooth surface of the rod at the isocenter. However, the low-frequency artifacts associated with off-center data acquisition are magnified (circles) and disturb the 3D appearance of the rod.

 


View larger version (43K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 11. Four-channel helical CT. Artifact pattern with 0.75 pitch and detector width of 2.5 mm, 7.5-mm TI, and 1.25-mm reconstruction interval. A, In the longitudinal profiles of the rod surface, a very fine pattern of surface irregularities is visible at the isocenter and a moderately coarser pattern is seen off center. B, At the isocenter, frequency analysis shows two small but characteristic peaks at frequencies corresponding to wavelengths of 1.25 and 2.5 mm, which correspond to frequencies of six and three artifacts per TI, respectively. Off center, note the small increase in spectral magnitude of the three artifacts per TI component and the appearance of a comparably higher amplitude, low-frequency artifact at the 7.5-mm-1 band, which corresponds to the frequency of one artifact per TI. C, In the 3D-rendered images, the high-frequency artifacts are again hardly perceptible at magnification (circles). The low-frequency artifact component dominates the off-center series but deteriorates image quality only mildly owing to the comparably moderate spectral magnitude.

 
In a more detailed analysis, the contributing frequency components in the spectral domain were different in 0.75 and 1.5 pitch series. The pattern with 1.5 pitch was more straightforward. All of the 1.5 pitch series (both primary and secondary) demonstrated two characteristic peaks in their spectra. The higher frequency corresponded to six artifacts per TI (six stair steps per TI), and the lower frequency corresponded to one artifact per TI (one sinusoid undulation per TI) (Fig 10, part B).

The frequency patterns observed in the 0.75 pitch series were more complex (Fig 11, part B). The lower frequency components were once again determined by the frequency of one artifact per TI in all series. The higher frequency components, however, occurred at variable periods. In the primary 0.75 pitch series, the highest frequency components appeared at the frequency of six artifacts per TI (except in the 3.75-mm TI acquisition, as a frequency of 0.625 mm-1 was not detectable with our analysis). In addition, we noted peaks of similar amplitude at the frequency of three artifacts per TI in all primary series (including the 3.75-mm TI acquisition). At the isocenter, both of these high-frequency components prevailed over the low-frequency component. Off center, however, the components of frequency of six artifacts per TI decreased and of three artifacts per TI increased slightly, but they were by far outweighed by the increase in the low-frequency component of one artifact per TI. In the secondary 0.75 pitch four-channel helical CT series, we never observed a frequency component of six artifacts per TI. This is probably due to the wider reconstruction interval (which was chosen according to the nominal section thickness rather than the detector width), which filtered out any frequency components higher than the section-reconstruction frequencies (similar to a low-pass filter). In all off-center secondary series, however, the same slight increase in the frequency of three artifacts per TI and the substantial increase in the frequency of one artifact per TI were observed.

For each four-channel helical CT series, the magnitudes of two characteristic frequency components were recorded for further analysis. The frequency of one artifact per TI was used as the low-frequency contributor in all data sets. For the high-frequency contributor, the frequency components of either six artifacts per TI (in the 1.5 pitch series) or three artifacts per TI (in 0.75 pitch series) were used.

High- versus Low-Frequency Artifact Contributors in Single- and Four-Channel Helical CT
Figure 12 illustrates the magnitude of artifacts when divided into the amplitudes of two characteristic contributing frequencies for both CT systems. Figure 12, part a shows that the amplitudes of the high-frequency components increased with TI but were clearly independent of the object position relative to the isocenter, as indicated by the parallel course of the regression lines for corresponding isocenter and off-center groups. The lower frequency components (Fig 12, part b) also increased with TI, but this increase was substantially different between isocenter and off-center series for each scanner. Figure 12, parts a and b, shows that the most prominent artifacts in four-channel helical CT derived from the low-frequency undulating component arising from off-center objects. In an attempt to model the cumulative effects of the two main contributing frequencies, in Figure 12, part c, the vector sums of high- and low-frequency artifact amplitudes [{surd}(lower frequency amplitude2 + higher frequency amplitude2)] are plotted. We used this approach rather than simply adding the amplitudes to average out the effect of phase coherence. Note that the plot closely resembles that obtained from measuring the artifact magnitude by means of SDr (Fig 8). This similarity is corroborated by the excellent correlation (Fig 13) found between the magnitude of artifacts measured with SDr (in millimeters) and the cumulative amplitudes of the contributing frequencies (Pearson r = 0.97, P < .001).



View larger version (19K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 12. Single- (1S) versus four-channel (4S) helical CT with isocenter (iso) and off-center (off) object position. Line graphs depict high- and low-frequency contributors to stair-step artifacts as functions of TI. a, The high-frequency artifact component is smaller in four- than in single-channel helical CT at any given TI. For a given CT system, object position does not affect the magnitude of the high-frequency component. b, The lower frequency contributors (corresponding to a frequency of one artifact per TI in all series) also increase with TI but are substantially affected by the object position. This holds true for both single- and four-channel helical CT. c, The cumulative magnitude of both high- and low-frequency contributors (calculated as their vector sum) indicates that, overall, four-channel helical CT leads to smaller artifacts than does single-channel helical CT, but the former is sensitive to TI-dependent low-frequency artifacts associated with off-center object position. For single-channel helical CT, only 1.0 and 2.0 pitch series are included. For four-channel helical CT, only primary series are included.

 


View larger version (23K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 13. Scatterplot depicts correlation of quantitative assessment of the magnitude of artifacts in single- and four-channel helical CT with two measurement approaches. The close correlation between SDr versus the vector sum of amplitudes of two contributing frequency components corroborates the validity of both measurement techniques for quantifying stair-step artifacts.

 
Subjective Image Analysis
The median of subjective ranks calculated for each series from the six readers are tabulated in Table 7. The median and range of ranks assigned to each series are illustrated in Figure 14. All readers were in close agreement concerning the worst image, but there were some discrepancies in what constituted the best appearance (eg, some readers preferred very smooth surfaces, others liked the sharp but noisier rendered images). The median rank for each series correlated closely with quantitative measurements of artifacts given as SDr (Spearman r = 0.94, P < .001) (Fig 14) or the vector sum of amplitudes of both underlying artifact frequencies (Spearman r = 0.90, P < .001).


View this table:
[in this window]
[in a new window]

 
TABLE 7. Medians of Ranks (from Six Independent Readers) of Subjective Image Quality for 3D-rendered Images for 72 Data Sets
 


View larger version (34K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 14. Subjective ranks of image quality with single- (1S-hCT) and four-channel (4S-hCT) helical CT. Graph shows the median plus or minus the range (whiskers) of subjective ratings of image quality for each of 72 series as established by six independent and blinded readers. Rank 1 refers to least artifact and rank 72 to most severe artifactual distortion of the rod. The graph illustrates the close correlation between quantitative computation of surface distortion and subjective appearance of stair-step artifacts to human readers.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Stair-step artifacts are a well-recognized problem in clinical CT imaging. However, explicit information on the artifact frequencies and their relation to acquisition parameters is scarce for single-channel helical CT and absent, to our knowledge, for four-channel helical CT. Our results confirm that for single-channel helical CT, the height (in the longitudinal direction) of stair-step artifacts arising from inclined objects is directly proportional to the distance between samples of projection data in the longitudinal direction (8), which equals half the TI when a 180° linear interpolation algorithm is used and when the reconstruction interval is sufficiently small (not more than one-half TI). Accordingly, artifacts are directly proportional to the beam collimation if the pitch is held constant. For a given TI, 1.0 and 2.0 pitches yield a comparable artifact magnitude, with 1.0 pitch slightly preferable. The 3.0 pitch, however, substantially and disproportionally increases artifacts. When the object scanned is positioned off the isocenter of the scanner, the height of the stair steps doubles to equal the TI distance.

Our results suggest that the height of the stair steps arising from the inclined rod in four-channel helical CT is also related to the distance between samples along the table translation direction. A somewhat unexpected finding was that when off center, superimposed on the stair steps, the rod surface was grossly distorted in an undulating fashion that was synchronized with the TI. Both artifact phenomena were directly proportional to the TI, but the magnitude of the lower frequency undulating component was greater than the high-frequency stair-step component and, particularly off center, dominated the visual appearance of the rod. In general, the magnitude of artifactual surface distortion of the rod phantom in four-channel helical CT was primarily a function of the TI, secondarily affected by the position of the rod relative to the isocenter, and only marginally affected by the pitch, detector collimation, and secondary z filtering.

From a practical point of view, the major result from this study is that the magnitude of artifacts—whether measured as the surface distortion of the rod (SDr), modeled as amplitudes of contributing sine waves, or ranked subjectively—is always smaller in four- than in single-channel helical CT. Specifically, when the size of stair steps is compared between single- and four-channel helical CT, single-channel helical CT leads to three times larger stair steps arising from inclined objects than does four-channel helical CT for any given TI as long as the object is located at or close to the isocenter. When off center, however, the advantage of the diminished size of stair steps seen with four-channel helical CT is reduced by newly introduced undulating low-frequency artifactual surface distortions. This unequivocal advantage of four-channel helical CT is furthermore amplified by the fact that, for a given TI, the effective section thickness (FWHM) of reconstructed transverse sections is smaller in four-channel helical CT (z filtering always allows reconstruction of thicker sections, if considered necessary). This is illustrated in Figure 15, in which the magnitude of artifacts is plotted against TI and each data point is annotated with horizontal whiskers that indicate the size of the FWHM of the respective series, measured by using an aluminum phantom (13).



View larger version (21K):
[in this window]
[in a new window]
[Download PPT slide]
 
Figure 15. Single- (1S-hCT) versus four-channel (4S-hCT) helical CT. Graph illustrates and compares the relationship between artifact magnitude, TI, and effective section thickness (FWHM). For single-channel helical CT, 1.0 () and 2.0 ({bigcirc}) pitch series obtained with beam widths of 1, 3 , 5, and 7 mm are shown. For four-channel helical CT, the 0.75 pitch ({block}, HQ) and 1.5 pitch ({square}, HS) primary series and the 22.5-mm TI, 5-mm nominal section thickness secondary series are shown. The whiskers represent the width of the FWHM of the various sections in millimeters. Note that apart from invariably smaller artifact magnitude at any given TI (as indicated by the oblique line separating the two CT systems), the FWHM of the four-channel helical CT primary series is consistently smaller than that for single-channel helical CT. The horizontal dotted lines at isocenter of 0.16-mm and off center of 0.27-mm SDr indicates the artifact magnitude of the 3-mm beam width, 2.0 pitch single-channel helical CT series. Note that at the isocenter, comparable artifact magnitude and similar FWHM is maintained with four-channel helical CT at a TI of 22.5 mm. Off center, however, four-channel helical CT reaches the artifact level corresponding to 3-mm beam width, 2.0 pitch single-channel helical CT as early as at TI of approximately 15 mm.

 
Thus, with four-channel helical CT, either a larger volume or a shorter data acquisition period for the same volume may be used without increasing artifacts. For a given volume, four-channel helical CT can be used to improve longitudinal resolution with identical acquisition time while simultaneously decreasing the magnitude of stair-step artifacts. Increased volume coverage represents a definite advantage of four-channel helical CT in CT angiographic applications. As artifacts are proportional to the TI, there is a tradeoff between the maximum volume coverage and the occurrence of artifacts, particularly in anatomic structures that are located off the isocenter. For example, an artifact magnitude (SDr) of 0.27 mm as a threshold for clinically acceptable artifact magnitude (0.27 is the value for a 100-mm off-center single-channel helical CT acquisition with 3-mm beam collimation and 6-mm TI, which is a commonly used setting for CT angiography) corresponds to a maximum TI of 15 mm with four-channel helical CT off center, as SDr ranges from 0.25 to 0.30 mm (Table 4). A further increase in the TI would come at the cost of artifacts increased beyond currently accepted levels.

Therefore, for high-quality CT angiographic applications, use of a TI of 15 mm per 360° gantry revolution, which corresponds to a table translation speed of 18.75 mm/sec with 0.8-second gantry rotation, allows a substantial improvement over single-channel helical CT. In most individuals, this would allow inclusion of the entire thoracic and abdominal aorta from the supraaortal branches to the iliac bifurcation in the scanning range (14) and may allow CT angiography of the lower extremity runoff vessels (15).

The physics behind artifact phenomena observed in single-channel helical CT has been the focus of prior investigations. Wang and Vannier (8), with use of a longitudinally oriented cone phantom, showed that two symmetric stair steps in the transverse plane (on opposing surfaces of the cone) can be observed to rotate with a period equal to the TI in the reconstructed volume, resulting in interlaced spiraling stair steps at periods of half the TI. Wilting and Timmer (9) also showed that the pattern of cross-sectional distortion of an inclined rod on consecutive transverse images repeats with a period equal to half the TI along z. In all cases, the images were reconstructed with use of the 180° linear interpolation algorithm. The stair-step artifacts observed with single-channel helical CT in this study, however, appear at two distinct frequencies. The higher frequency artifact occurs at two stair-step artifacts per TI), which is in accord with the reported frequency of stair-step artifacts (8,9). This frequency corresponds to the distance between the samples in the z direction, which is 0.5 TI for images reconstructed with the 180° linear interpolation algorithm. Our quantitative analysis showed that the magnitude of this high-frequency component was independent of the object position relative to the isocenter (Fig 12, part a). The lower frequency artifact component we observed in this study was characterized by a frequency of one stair-step artifact per TI, and its frequency was clearly dependent on the object location relative to the isocenter of the scanner (Fig 12, part b). The exact source of this low-frequency artifact component still needs to be identified. Longitudinal aliasing associated with the sampling geometry of helical CT might play a role. Yen et al (6) have shown that longitudinal aliasing is a spatially varying phenomenon that is minimal at the isocenter but worsens with distance from the isocenter, similar to the low-frequency artifact component observed in this study.

Analogous to the artifact components seen with single-channel helical CT, we observed distinct artifact components in four-channel helical CT which, when summed, account for the complex appearance of stair-step artifacts. The particular geometry of four simultaneously acquired data sets (interlaced with their derived four 180°-opposed complementary data sets) determines the distance between samples in z to equal one per sixth of the TI with both 0.75 and 1.5 pitches. The details of the reconstruction algorithm for four-channel helical CT with use of real and complementary data sets are given elsewhere (11). Analogous to single-channel helical CT, we may thus expect the highest frequency artifact component to appear at six stair-step artifacts per TI. This was observed on all four-channel helical CT scans except the secondary series, on which such high frequencies were not detectable due to the use of a reconstruction interval that was half the nominal section thickness. Again, the magnitude of the high-frequency artifact component was independent of the object-to-isocenter distance (Fig 12, part a). The low-frequency undulating artifact phenomena observed in four-channel helical CT in this study, however, are clearly dependent on the object-to-isocenter distance (Fig 12, part b) and their frequency is TI—and thus view angle (gantry angle)—dependent. It is worth reiterating that on the basis of both quantitative and qualitative assessments, the low-frequency artifacts are both more relevant to structural visualization and overall magnitude of the surface distortions than are the higher frequency stair steps. The exact source of this phenomenon cannot be fully explained on the basis of our data or accessible nonproprietary information about the reconstruction technique. Consequently, we cannot estimate the effect of the reconstruction process itself on the nature of the observed artifacts, which therefore awaits further theoretic and experimental evaluation.

A potential limitation of phantom studies is that quantitatively obtained results of image quality cannot be translated directly into the visual perception of human readers. In this study, we tried to control for this aspect by rendering the image data in 3D to parallel the quantitative analysis with subjective readings. Despite minor disagreement between observers, whether sharp and grainy or smooth surfaces are more representative of the rod, subjective rankings correlated excellently with quantitative measurements of artifacts, thus corroborating the validity of our results. Results of both quantitative and qualitative analyses agreed that the small high-frequency stair steps and ripples are much less important than the gross undulating surface distortions observed in four-channel helical CT.

Opposed to clinical CT angiography, our phantom measurements were obtained from a single "vessel" with only one diameter, at one predefined tilt angle relative to the z axis (45°), and with only one vessel-to-background contrast. Although the measurements of artifacts would almost certainly yield different values with use of varying angulation, size, and object-to-background contrast, this should not affect the general proportions of the relationships between artifact magnitude and acquisition parameters, nor should it alter the observed frequencies of the artifact components. Further, objects smaller than the TI will not be deformed by the low-frequency artifacts in four-channel helical CT but rather displaced. For larger, curved surfaces, such as the air-insufflated colon in CT colonography, low-frequency undulating artifacts may not have the same importance as those seen in obliquely oriented vessels. On the other hand, small stair steps might become more important with the higher object-to-background contrast and greater magnification of surface detail used with most immersion visualization techniques.

All series supposedly obtained with the rod at the isocenter necessarily include off-center effects, as the inclined rod crossed the isocenter rather than being aligned with it. This implies that we could not have obtained pure isocenter data, but on the other hand, this allows observation of the continuous increase in magnitude of some artifact phenomena along the rod with increasing distance from the isocenter (Figs 911). This effect displays the off-center effects on a continuous scale, as opposed to our otherwise two-point data represented by the isocenter and 100-mm off-isocenter design. From the line graphs and rendered images, it is obvious that off-center artifacts start to evolve immediately off center, and the figures suggest a linear increase with distance from the isocenter. Thus on the basis of our observations, we theorize that the low-frequency artifact component will not occur at isocenter, where real and complementary projections are identical. As the distance from isocenter increases, the disparity between real and complementary projections increases and thus the low-frequency artifacts achieve increasingly greater magnitude with distance from the isocenter. In distinction, however, the high-frequency artifact component is constant across the field of view, independent of distance from isocenter.

We conclude from this study that the inherent advantages of four-channel helical CT over single-channel helical CT with regard to speed and longitudinal resolution capabilities are not deteriorated by the cost of larger artifacts. In fact, four-channel helical CT consistently leads to fewer stair-step–like surface distortions of longitudinally inclined objects than does single-channel helical CT at any given TI, or four-channel helical CT incurs artifacts comparable to those with single-channel helical CT at approximately three times greater TI. The weakest part of image quality in four-channel helical CT in this study was its sensitivity to artifacts that appear at off-center locations.

Glossary
Beam width.—In single-channel helical CT, nominal width of x-ray fan beam, constrained by collimation at the source.

Detector width.—In four-channel helical CT, the width of each of four detector rows used to acquire four simultaneous data sets (channels). Each row is connected (switched) with one to four detector elements each with 1.25-mm diameter in the z direction, resulting in possible detector widths of 1.25, 2.5, 3.75, and 5 mm.

Four-channel helical CT.—CT system equipped with 16 detector rows in the z direction that is capable of simultaneously acquiring data (sections) from four channels, each of which combines one to four detector elements in the z direction.

FWHM.—FWHM of the section-sensitivity profile of transverse sections (measured by using a 15-µm-thick aluminum disk [13]).

Nominal section thickness.—In four-channel helical CT, with use of two-point (180°) linear interpolation, the nominal section thickness is identical to the detector width. Those acquisitions are referred to as "primary series." The use of z filtering (or variable thickness filtering) allows more than two points to be used for section interpolation. This allows reconstruction of sections with a 1.33, 1.5, or 2 times greater nominal section thickness than is possible with two-point interpolated images. Those acquisitions are referred to as "secondary series."

Pitch.—TI divided by nominal beam width for single-channel helical CT, and TI divided by four times the detector width for four-channel helical CT.

Single-channel helical CT.—Standard single detector-row helical CT.

TI.—Table translation distance (in millimeters) in one 360° gantry rotation.


    FOOTNOTES
 
2 Current address: Department of Radiology, University of Vienna, Austria. Back

3**. Multiple body systems Back

Abbreviations: FWHM = full width at half maximum, SDr = SD of radius measurements along the rod, TI = table increment, 3D = three-dimensional

Author contributions: Guarantors of integrity of entire study, D.F., G.D.R., S.N.; study concepts, D.F., G.D.R., S.N.; study design, D.F., G.D.R., D.S.P., S.N.; definition of intellectual content, D.F., G.D.R., S.Y.Y., S.N.; literature research, D.F., S.Y.Y.; experimental studies, D.F., G.D.R., D.S.P.; data acquisition, D.F., G.D.R.; data analysis, D.F., G.D.R., D.S.P., P.R.H., C.F.B., S.N.; statistical analysis, D.F.; manuscript preparation, D.F., D.S.P., S.Y.Y.; manuscript editing, G.D.R., S.Y.Y., S.N.; manuscript review, D.F., G.D.R., P.R.H., C.F.B., S.N.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 MATERIALS AND METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Rubin GD, Napel S, Leung AN. Volumetric analysis of volumetric data: achieving a paradigm shift. Radiology 1996; 200:312-317.[Free Full Text]
  2. Polacin A, Kalender WA, Marchal G. Evaluation of section-sensitivity profiles and image noise in spiral CT. Radiology 1992; 185:29-35.[Abstract/Free Full Text]
  3. Brink JA. Technical aspects of helical (spiral) CT. Radiol Clin North Am 1995; 33:825-841.[Medline]
  4. Hsieh J. Nonstationary noise characteristics of the helical scan and its impact on image quality and artifacts. Med Phys 1997; 24:1375-1384.[Medline]
  5. Polacin A, Kalender WA, Brink J, Vannier MA. Measurement of slice sensitivity profiles in spiral CT. Med Phys 1994; 21:133-140.[Medline]
  6. Yen SY, Yan CH, Rubin GD, Napel S. Longitudinal sampling and aliasing in spiral CT. IEEE Trans Med Imaging 1999; 18:43-58.[Medline]
  7. Napel S. Basic principles of spiral CT. In: Fishman EK, Jeffrey RB, eds. Spiral CT: principles, techniques, and clinical applications. 2nd ed. Philadelphia, Pa: Lippincott-Raven, 1998; 3-15.
  8. Wang G, Vannier MW. Stair-step artifacts in three-dimensional helical CT: an experimental study. Radiology 1994; 191:79-83.[Abstract/Free Full Text]
  9. Wilting JE, Timmer J. Artefacts in spiral-CT images and their relation to pitch and subject morphology. Eur Radiol 1999; 9:316-322.[Medline]
  10. Rubin GD, Paik DS, Johnston PC, Napel S. Measurement of the aorta and its branches with helical CT. Radiology 1998; 206:823-829.[Abstract/Free Full Text]
  11. Hu H. Multi slice helical CT: scan and reconstruction. Med Phys 1999; 26:5-18.[Medline]
  12. Paik DS, Beaulieu CF, Jeffrey RB, Rubin GD, Napel S. Automated flight path planning for virtual endoscopy. Med Phys 1998; 25:629-637.[Medline]
  13. Rubin GD, Napel S, Ringl H, Brosnan TJ. Assessment of section profile and clinical images in helical CT with pitch values of 0.5 to 3.0 with use of 180° linear extrapolation and segmented reconstruction (abstr). Radiology 1996; 201(P):188.
  14. Rubin GD, Shiau MC, Leung AN, Kee S, Logan LJ, Sofilos MC. Aorta and iliac arteries: single versus multiple detector-row helical CT angiography. Radiology 2000; 215:670-676.[Abstract/Free Full Text]
  15. Rubin GD, Schmidt AJ, Logan LJ, et al. Multidetector-row CT angiography of lower extremity occlusive disease: a new application for CT scanning (abstr). Radiology 1999; 210:588.



This article has been cited by other articles:


Home page
Br. J. Radiol.Home page
E J CHOI, Y-W OH, S Y HAM, K Y LEE, and E-Y KANG
Comparison between coronal reformatted images and direct coronal CT images of the swine lung specimen: assessment of image quality with 64-detector row CT
Br. J. Radiol., June 1, 2008; 81(966): 463 - 467.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
J. D. Dodd, C. A. Souza, and N. L. Muller
High-resolution MDCT of pulmonary septic embolism: evaluation of the feeding vessel sign.
Am. J. Roentgenol., September 1, 2006; 187(3): 623 - 629.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
J. D. Dodd, C. A. Souza, and N. L. Muller
Conventional high-resolution CT versus helical high-resolution MDCT in the detection of bronchiectasis.
Am. J. Roentgenol., August 1, 2006; 187(2): 414 - 420.
[Abstract] [Full Text] [PDF]


Home page
Am. J. Roentgenol.Home page
C. R. Krestan, H. Noske, V. Vasilevska, M. Weber, G. Schuel