State-of-the-art techniques for lossless compression of 3D medical image sets

✍ Scribed by W. Philips; S. Van Assche; D. De Rycke; K. Denecker

• Publisher: Elsevier Science
• Year: 2001
• Tongue: English
• Weight: 523 KB
• Volume: 25
• Category: Article
• ISSN: 0895-6111
• DOI: 10.1016/s0895-6111(00)00046-x

✦ Synopsis

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.