Abstract
Abstract: Recent development of computer-assisted medical systems, based on statistical shape analysis, leads to a growing number of emerging shape and appearance models. In this paper, we propose a novel method for a lossy compression of 3D statistical shape and intensity models exploiting the JPEG 2000 image coding system. We also investigate the influence of the lossy compression on the accuracy of an atlas-based 2D/3D reconstruction, which is one of the common applications of the statistical appearance models. The results revealed the method is highly efective for the intensity information, reaching thousandfold compression ratios without affecting the 2D/3D reconstruction accuracy. The bitrate of shape information can be compressed several times without signifcant influence on the reconstruction accuracy.
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