Publication Details
Lossy Compression of 3-D Statistical Shape and Intensity Models of Femoral Bones Using JPEG 2000
Bařina David, Ing., Ph.D. (DCGM)
Klepárník Petr, Ing., Ph.D. (DCGM)
Zemčík Pavel, prof. Dr. Ing., dr. h. c. (DCGM)
Chromý Adam, Ing., Ph.D. (RG-3-02)
Španěl Michal, doc. Ing., Ph.D. (DCGM)
medical data processing, statistical shape and intensity model, lossy compression, JPEG 2000, 2D-3D reconstruction
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 3-D 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 effective 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 significant influence on the reconstruction accuracy.
@inproceedings{BUT132595,
author="Ondřej {Klíma} and David {Bařina} and Petr {Klepárník} and Pavel {Zemčík} and Adam {Chromý} and Michal {Španěl}",
title="Lossy Compression of 3-D Statistical Shape and Intensity Models of Femoral Bones Using JPEG 2000",
booktitle="14th IFAC Conference on Programmable Devices and Embedded Systems PDES 2016 Brno, Czech Republic, 5-7 October 2016",
year="2016",
journal="IFAC-PapersOnLine (ELSEVIER)",
volume="49",
number="25",
pages="115--120",
publisher="Elsevier Science",
address="Brno / Lednice",
doi="10.1016/j.ifacol.2016.12.020",
issn="2405-8963"
}