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Published online before print May 23, 2007, 10.1148/radiol.2441060977
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Detection of Simulated Microcalcifications in a Phantom with Digital Mammography: Effect of Pixel Size1

Sankararaman Suryanarayanan, PhD, MBA, Andrew Karellas, PhD, Srinivasan Vedantham, PhD, Ioannis Sechopoulos, MS, and Carl J. D'Orsi, MD

1 From the Winship Cancer Institute and Department of Radiology, Emory University School of Medicine, 1701 Uppergate Dr, Bldg C, Suite 5018, Atlanta, GA 30322 (S.S., A.K., S.V., I.S., C.J.D.); and Wallace H. Coulter Department of Biomedical Engineering at Georgia Institute of Technology and Emory University, Atlanta, Ga (S.S., A.K., I.S.). Received June 6, 2006; revision requested August 7; revision received September 8; accepted October 5; final version accepted November 15. Supported in part by National Institutes of Health (NIH) grants (RO1-CA88792 and RO1-EB002123) from the National Cancer Institute (NCI) and the National Institute of Biomedical Imaging and Bioengineering (NIBIB). Supported in part by an infrastructure grant from the Georgia Cancer Coalition (GCC). Address correspondence to A.K. (e-mail: akarell{at}emory.edu).


Figure 1A
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Figure 1a: ROI images (a) before and (b) after automatic contrast enhancement. Visibility of the corner disk is improved after enhancement.

 

Figure 1B
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Figure 1b: ROI images (a) before and (b) after automatic contrast enhancement. Visibility of the corner disk is improved after enhancement.

 

Figure 2A
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Figure 2a: Examples of percent correct detection characteristics obtained from one observer for disk diameters of (a) 0.31 and (b) 0.20 mm at various pixel sizes for a phantom thickness of 45 mm. Degradation in detection with increasing pixel size is observed. The solid lines are maximum likelihood estimated detection characteristics.

 

Figure 2B
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Figure 2b: Examples of percent correct detection characteristics obtained from one observer for disk diameters of (a) 0.31 and (b) 0.20 mm at various pixel sizes for a phantom thickness of 45 mm. Degradation in detection with increasing pixel size is observed. The solid lines are maximum likelihood estimated detection characteristics.

 

Figure 3A
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Figure 3a: CD characteristics obtained at 62.5% detection threshold after averaging data from six observers for (a) 45-mm and (b) 58-mm phantom thickness conditions at 39-, 78-, and 100-µm pixel sizes. Lower (better) threshold CD characteristics at 39- and 78-µm pixel sizes are observed. Error bars indicate 95% confidence intervals.

 

Figure 3B
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Figure 3b: CD characteristics obtained at 62.5% detection threshold after averaging data from six observers for (a) 45-mm and (b) 58-mm phantom thickness conditions at 39-, 78-, and 100-µm pixel sizes. Lower (better) threshold CD characteristics at 39- and 78-µm pixel sizes are observed. Error bars indicate 95% confidence intervals.

 

Figure 4A
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Figure 4a: CD characteristics obtained at 62.5% detection threshold after averaging data from six observers for (a) 100-µm, (b) 78-µm, and (c) 39-µm pixel sizes at 45- and 58-mm phantom thickness conditions. Degradation in CD characteristics regardless of pixel size is observed. Error bars indicate 95% confidence intervals.

 

Figure 4B
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Figure 4b: CD characteristics obtained at 62.5% detection threshold after averaging data from six observers for (a) 100-µm, (b) 78-µm, and (c) 39-µm pixel sizes at 45- and 58-mm phantom thickness conditions. Degradation in CD characteristics regardless of pixel size is observed. Error bars indicate 95% confidence intervals.

 

Figure 4C
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Figure 4c: CD characteristics obtained at 62.5% detection threshold after averaging data from six observers for (a) 100-µm, (b) 78-µm, and (c) 39-µm pixel sizes at 45- and 58-mm phantom thickness conditions. Degradation in CD characteristics regardless of pixel size is observed. Error bars indicate 95% confidence intervals.

 





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