Title :
Lossless and near-lossless motion-compensated 4D medical image compression
Author :
Yan, Pingkun ; Kassim, Ashraf
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
Four-dimensional (4D) medical images, which are sequences of volume images over time, are represented by a great volume of information. One set of 4D medical images can easily take up hundreds of megabytes of storage volume. In this paper, we present a technique for compressing 4D medical images by combining motion compensation and lossless/near-lossless image encoding. Our technique incorporates a new fast 3D cube match algorithm that effectively exploits the redundancy between frames. The proposed scheme is validated by experiments on 4D cardiac images.
Keywords :
biomedical MRI; cardiology; computerised tomography; image coding; image sequences; medical image processing; motion compensation; 4D cardiac images; fast 3D cube match algorithm; image encoding; image sequence; lossless motion-compensated 4D medical image compression; motion compensation; near-lossless motion-compensated 4D medical image compression; Biomedical imaging; Costs; Decoding; Image coding; Image storage; Magnetic resonance imaging; Medical diagnostic imaging; Motion estimation; Predictive coding; Pressing;
Conference_Titel :
Biomedical Circuits and Systems, 2004 IEEE International Workshop on
Print_ISBN :
0-7803-8665-5
DOI :
10.1109/BIOCAS.2004.1454110
