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Proceedings Paper

Compression of multislice CT: 2D vs. 3D JPEG2000 and effects of slice thickness
Author(s): Eliot Siegel; Khan Siddiqui; Jeffrey Johnson; Olivier Crave; Zhenyu Wu; Joseph Dagher; Ali Bilgin; Michael Marcellin; Mariappan Nadar; Bruce Reiner
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Paper Abstract

The widespread use of multi-detector CT scanners has been associated with a remarkable increase in the number of CT slices as well as a substantial decrease in the average thickness of individual slices. This increased number of thinner slices has created a marked increase in archival and network bandwidth requirements associated with storage and transmission of these studies. We demonstrate that although compression can be used to decrease the size of these image files, thinner CT slices are less compressible than thicker slices when measured by either a visual discrimination model (VDM) or the more traditional peak signal to noise ratio. The former technique (VDM) suggests that the discrepancy in compressibility between thin and thick slices becomes greater at greater compression levels while the latter technique (PSNR), suggests that this is not the case. Previous studies that we and others have performed suggest that the VDM model probably corresponds more closely with human observers than does the PSNR model. Additionally we demonstrated that the poor relative compressibility of thin sections can be substantially negated by the use of JPEG 2000 3D compression which yields superior image quality at a given level of compression in comparison with 2D compression. Additionally, thin and thick sections are approximately equally compressible for 3D compression with little change with increasing levels of compression.

Paper Details

Date Published: 15 April 2005
PDF: 9 pages
Proc. SPIE 5748, Medical Imaging 2005: PACS and Imaging Informatics, (15 April 2005); doi: 10.1117/12.596037
Show Author Affiliations
Eliot Siegel, Baltimore VA Medical Ctr. (United States)
Univ. of Maryland School of Medicine (United States)
Khan Siddiqui, Baltimore VA Medical Ctr. (United States)
Jeffrey Johnson, Siemens Corporate Research (United States)
Olivier Crave, Siemens Corporate Research (United States)
Zhenyu Wu, Univ. of Arizona (United States)
Joseph Dagher, Univ. of Arizona (United States)
Ali Bilgin, Univ. of Arizona (United States)
Michael Marcellin, Univ. of Arizona (United States)
Mariappan Nadar, Siemens Corporate ResearchSiemens Corporate Research (United States)
Bruce Reiner, Baltimore VA Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 5748:
Medical Imaging 2005: PACS and Imaging Informatics
Osman M. Ratib; Steven C. Horii, Editor(s)

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