Title :
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
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;
Conference_Titel :
Data Compression Conference, 1996. DCC '96. Proceedings
Conference_Location :
Snowbird, UT
Print_ISBN :
0-8186-7358-3
DOI :
10.1109/DCC.1996.488309
