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Technical Developments |
1 From the Departments of Radiology (L.M.F.) and Biomedical Engineering (Y.J., A.F.L.), Columbia University, New York, NY; and Department of Radiology, New York Presbyterian Hospital/Columbia University, New York, NY (L.M.F., Y.M.B., G.D.P., B.F., R.V.H.). Received May 21, 2001; revision requested July 9; final revision received December 10; accepted January 22, 2002. Address correspondence to L.M.F., Department of Radiology, Thomas Jefferson University, 132 S 10th St, Suite 1096, Philadelphia, PA 19107 (e-mail: lmf200@hotmail.com).
Multiscale adaptive histogram equalization (MAHE), a wavelet-based algorithm, was investigated as a method of automatic simultaneous display of the full dynamic contrast range of a computed tomographic image. Interpretation times were significantly lower for MAHE-enhanced images compared with those for conventionally displayed images. Diagnostic accuracy, however, was insufficient in this pilot study to allow recommendation of MAHE as a replacement for conventional window display.
© RSNA, 2002
Index terms: Computed tomography (CT), image display and recording, **.121192, 60.12119, 76.12119 Computed tomography (CT), image processing, **.12119, 60.12119, 76.12119 Liver, CT, 76.12119 Lung, CT, 60.12119
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