Lossy compression of noisy cardiac image sequences

Author

Al-Shaykh, Osama K. ; Mersereau, Russell M.

Author_Institution

Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA

fYear

1996

fDate

Mar/Apr 1996

Firstpage

43

Lastpage

52

Abstract

The evaluation of medical image compression algorithms differs from the evaluation of compression algorithms of other classes of images. It is more concerned with preserving the diagnostic information in the image. Moreover, cardiac SPECT images are usually corrupted by Poisson noise which severely degrades the performance of any compression algorithm. This paper presents a region-based approach to lossy compression of noisy cardiac medical images. First, noisy source coding theory is applied to this problem and the noise is filtered optimally. Afterwards, region-based quantization is applied to the image. The region of the heart and the organs are not quantized in order to preserve the diagnostic information in these images

Keywords

cardiology; image coding; image segmentation; image sequences; medical image processing; noise; quantisation (signal); single photon emission computed tomography; source coding; stochastic processes; Poisson noise; cardiac SPECT images; diagnostic information; heart; image segmentation; lossy compression; medical image compression algorithms; noisy cardiac image sequences; noisy source coding theory; optimal filtering; organs; region based quantization; Biomedical imaging; Compression algorithms; Degradation; Filtering theory; Heart; Image coding; Image sequences; Medical diagnostic imaging; Quantization; Source coding;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference, 1996. DCC '96. Proceedings

Conference_Location

Snowbird, UT

ISSN

1068-0314

Print_ISBN

0-8186-7358-3

Type

conf

DOI

10.1109/DCC.1996.488309

Filename

488309