Title :
Left ventricle quantification in gated cardiac nuclear medicine images using Bayes classification
Author :
Wang, Cliff X. ; Chen, Paul ; Snyder, Wesley E.
Author_Institution :
MRI Res. Center, Bowman Gray Sch. of Med., Winston-Salem, NC, USA
Abstract :
Bayes classification using a Poisson model was developed to classify the gated cardiac nuclear medicine images. Based on the pixel classification, the left ventricle size can be calculated. From the multiple slices of images acquired during a cardiac cycle, the left ventricle volume curve can be obtained and would be available for clinical evaluation. Experimental results showed that the ejection fraction obtained from the volume curve is not very sensitive to variation of the prior probability estimation
Keywords :
Bayes methods; cardiology; image classification; medical image processing; radioisotope imaging; Bayes classification; Poisson model; cardiac cycle; clinical evaluation; ejection fraction; gated cardiac nuclear medicine images; left ventricle quantification; left ventricle size; left ventricle volume curve; medical diagnostic imaging; multiple slices; pixel classification; prior probability estimation; Back; Biomedical imaging; Electrocardiography; Magnetic resonance imaging; Maximum likelihood estimation; Nuclear medicine; Parameter estimation; Pixel; Probability; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.411924
