Digital signal processing and compression for functional images

Author

Ho, Dino ; Feng, Dagan

Author_Institution

Biomed. & Multimedia Inf. Technol. Group, Sydney Univ., NSW, Australia

Volume

2

fYear

1997

fDate

28-31 Oct 1997

Firstpage

963

Abstract

An algorithm for diagnostically lossless dynamic image data compression is proposed. The theory and implementation of this algorithm are presented. Taking advantage of domain specific knowledge related to medical imaging and medical practice, we achieve very high compression ratios. An example using the fluoro-deoxy-glucose tracer and dynamic positron emission tomography is presented to evaluate the performance of the proposed algorithm. As a result of our study, the storage space for dynamic image data can be reduced by more than 95%, without loss in diagnostic quality

Keywords

computerised tomography; data compression; image coding; medical image processing; positron emission tomography; algorithm performance; compression ratios; diagnostic quality; diagnostically lossless dynamic image compression; digital signal processing; domain specific knowledge; dynamic positron emission tomography; fluoro-deoxy-glucose tracer; functional image compression; medical imaging; storage space; Biomedical imaging; Compression algorithms; Data compression; Digital signal processing; Image coding; Image retrieval; Image storage; Medical diagnostic imaging; Positron emission tomography; Signal processing algorithms; Space technology;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4253-4

Type

conf

DOI

10.1109/ICIPS.1997.669114

Filename

669114