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15 April 1996 Lossy multiresolution compression and segmentation of 3D MR images of the head
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Abstract
In this paper, lossy compression of 3D MR images of the human brain is associated with a segmentation algorithm, in the context of an interactive brain sulci delineation application. Influence of compression losses is analyzed according to the segmentation results. Lossy compression is performed by subband coding leading to a multiresolution representation of the image. Wavelets are adapted for medical images statistics. The decompressed images are segmented by directional watershed transform (DWST), providing an accurate 3D segmentation of the brain. Impact of losses on the quality of the segmentation is estimated either by a 3D Chamfer distance function and by visual appreciation. In this article, we show that lossy compression can be combined with some applications, providing high compression ratio without significantly altering the results of the application.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick Piscaglia, Jean-Philippe Thiran, Benoit M. M. Macq, and Christian Michel "Lossy multiresolution compression and segmentation of 3D MR images of the head", Proc. SPIE 2707, Medical Imaging 1996: Image Display, (15 April 1996); https://doi.org/10.1117/12.238485
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