State-of-the-art techniques for lossless compression of 3D medical image sets.
This paper explains the basic principles of lossless two-dimensional (2D) and three-dimensional (3D) image coding at a high level of abstraction. It discusses also a new inter-frame technique for lossless video coding based on intra-frame prediction and inter-frame context modelling. The performance of this technique is compared to that of state-of-the-art 2D coders on CT and MRI data sets from the Visual Human Project. The results show that the inter-frame technique outperforms state-of-the-art intra-frame coders, i.e. Calic and JPEG-LS. The improvement in compression ratio is significant in the case of CT data but is rather small in the case of MRI data.
Philips
W
W
Department TELIN, Ghent University, Sint-Pietersnieuwstraat 41, B-9000 Gent, Belgium. philips@telin.rug.ac.be
Van Assche
S
S
De Rycke
D
D
Denecker
K
K
D000465:Algorithms; D019412:Anatomy, Cross-Sectional; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D008875:Middle Aged; D014057:Tomography, X-Ray Computed / Q000379:methods; D014741:Video Recording / Q000379:methods