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《Journal of Northe Astern University(Natural Science)》 2007-01
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Computer Aided Diagnosis on Hepatocirrhosis Degree Based on MRI

JIANG Hui-yan~(1,2),ZHAO Yue~2,YANG Xin-feng~1(1.Computing Center,Northeastern University,Shenyang 110004,China;2.Sino-Dutch Biomedical and Information Engineering School,Northeastern University,Shenyang 110004,China.)  
A new computer aided diagnosis(CAD) method for hepatocirrhosis is proposed,based on the recognition of characteristics of liver texture and shape.In the method,the liver region is segmented from the abdominal MRI-based image through image segmentation technique,and the characteristics of liver texture and shape are extracted from liver region.Then,the degree of liver fibrosis is calculated according to its texture and the improved BP neural network by conjugate gradient algorithm,and the passivation of left liver leaf is calculated according to its shape characteristics.Finally,the hepatocirrhosis is diagnosed taking the degrees of liver fibrosis and passivation as criteria.The method has been applied to the practical abdominal MRI,and showed higher accuracy in the diagnosis of hepatocirrhosis than single neural network.
【Fund】: 辽宁省自然科学基金资助项目(20042020)
【CateGory Index】: TP399
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