O.K. Al-Shaykh, Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
R.M. Mersereau, Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
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.
Index Terms:
image coding; medical image processing; image sequences; single photon emission computed tomography; cardiology; image segmentation; noise; stochastic processes; source coding; quantisation (signal); noisy cardiac image sequences; lossy compression; medical image compression algorithms; diagnostic information; cardiac SPECT images; Poisson noise; image segmentation; noisy source coding theory; optimal filtering; region based quantization; heart; organs
Citation:
O.K. Al-Shaykh, R.M. Mersereau, "Lossy compression of noisy cardiac image sequences," dcc, pp.43, Data Compression Conference (DCC '96), 1996
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb