Paper
18 May 2000 JPEG 2000 compression of medical imagery
David H. Foos, Edward Muka, Richard M. Slone, Bradley J. Erickson M.D., Michael J. Flynn, David A. Clunie, Lloyd Hildebrand, Kevin S. Kohm, Susan S. Young
Author Affiliations +
Abstract
A multi-institution effort was conducted to assess the visual quality performance of various JPEG 2000 (Joint Photographic Experts Group) lossy compression options for medical imagery. The purpose of this effort was to provide clinical data to DICOM (Digital Imaging and Communications in Medicine) WG IV to support recommendations to the JPEG 2000 committee regarding the definition of the base standard. A variety of projection radiographic, cross sectional, and visible light images were compressed-reconstructed using various JPEG 2000 options and with the current JPEG standard. The options that were assessed included integer and floating point transforms, scalar and vector quantization, and the use of visual weighting. Experts from various institutions used a sensitive rank order methodology to evaluate the images. The proposed JPEG 2000 scheme appears to offer similar or improved image quality performance relative to the current JPEG standard for compression of medical images, yet has additional features useful for medical applications, indicating that it should be included as an additional standard transfer syntax in DICOM.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David H. Foos, Edward Muka, Richard M. Slone, Bradley J. Erickson M.D., Michael J. Flynn, David A. Clunie, Lloyd Hildebrand, Kevin S. Kohm, and Susan S. Young "JPEG 2000 compression of medical imagery", Proc. SPIE 3980, Medical Imaging 2000: PACS Design and Evaluation: Engineering and Clinical Issues, (18 May 2000); https://doi.org/10.1117/12.386390
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Cited by 51 scholarly publications.
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KEYWORDS
Image compression

Image quality

Image quality standards

Wavelets

Quantization

Magnetic resonance imaging

Computed tomography

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