Contrast-detail analysis ofthe effect of image compression on computed tomographic images

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dc.contributor.author Cook, Larry en_US
dc.contributor.author Cox, Glendon en_US
dc.contributor.author Insana, Michael en_US
dc.contributor.author McFadden, Michael en_US
dc.contributor.author Hall, Timothy en_US
dc.contributor.author Gaborski, Roger en_US
dc.contributor.author Lure, Fleming en_US
dc.date.accessioned 2006-12-18T17:51:13Z en_US
dc.date.available 2006-12-18T17:51:13Z en_US
dc.date.issued 1996-03 en_US
dc.identifier.citation Proceedings of the SPIE: Image Perception 2712 (1996) 128-137 en_US
dc.identifier.issn 0277-786X en_US
dc.identifier.uri http://hdl.handle.net/1850/3131 en_US
dc.description Copyright 1996 Society of Photo-Optical Instrumentation Engineers. This paper was published in Proceedings of SPIE Volume 2712 Medical Imaging 1996: Image Perception, Harold L. Kundel, Editor, March 1996, pp. 128-137, and is madeavailable as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. en_US
dc.description.abstract Three compression algorithms were compared by using contrast-detail (CD) analysis. Two phantoms were designed to simulate computed tomography (CT) scans of the head. The first was based on CT scans of a plastic cylinder containing water. The second was formed by combining a CT scan of a head with a scan of the water phantom. The soft tissue of the brain was replaced by a subimage containing only water. The compression algorithms studied were the full-frame discrete cosine (FDCT) algorithm, the Joint Photographic Experts Group (JPEG) algorithm, and a wavelet algorithm. Both the wavelet and JPEG algorithms affected regions of the image near the boundary of the skull. The FDCT algorithm propagated false edges throughout the region interior to the skull. The wavelet algorithm affected the images less than the other compression algorithms. The presence of the skull especially affected observer performance on the FDCT compressed images. All of the findings demonstrated a flattening of the CD curve for large lesions. The results of a compression study using lossy compression algorithms is dependent on the characteristics ofthe image and the nature of the diagnostic task. Because of the high density bone of the skull, head CT images present a much more difficult compression problem than chest x-rays. We found no significant differences among the CD curves for the tested compression algorithms. en_US
dc.description.sponsorship The investigation was supported by a grant from Eastman Kodak Corporation, Rochester, NY and by the Clinical Radiology Foundation at KUMC. en_US
dc.format.extent 892197 bytes en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en_US en_US
dc.publisher International Society for Optical Engineering (SPIE) en_US
dc.relation.ispartofseries vol. 2712 en_US
dc.subject Contrast-detail analysis en_US
dc.subject Image compression en_US
dc.title Contrast-detail analysis ofthe effect of image compression on computed tomographic images en_US
dc.type Proceedings en_US

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