title: A computer-aided multidisease diagnostic system using MRCP.
abstract: Automated computer analysis of magnetic resonance cholangiopancreatography (MRCP) (a focused magnetic resonance imaging sequence for the pancreatobiliary region of the abdomen) images for biliary diseases is a difficult problem because of the large inter- and intrapatient variations in the images, varying acquisition settings, and characteristics of the images, defeating most attempts to produce computer-aided diagnosis systems. This paper proposes a system capable of automated preliminary diagnosis of several diseases affecting the bile ducts in the liver, namely, dilation, stones, tumor, and cyst. The system first identifies the biliary ductal structure present in the MRCP images, and then proceeds to determine the presence or absence of the diseases. Tested on a database of 593 clinical images, the system, which uses visual-based features, has shown to be successful in delivering good performance of 70-90% even in the presence of multiple diseases, and may be useful in aiding medical practitioners in routine MRCP examinations.
authors.affiliation: Faculty of Engineering, Multimedia University, Cyberjaya, 63100, Malaysia. loges@ieee.org
authors.forename: Rajasvaran
authors.initials: R
authors.lastname: Logeswaran
mesh_terms: D001660:Biliary Tract Diseases / Q000175:diagnosis*; D049448:Cholangiopancreatography, Magnetic Resonance; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D012680:Sensitivity and Specificity