Front-End Vision and Multi-Scale Image Analysis: Multi-scale Computer Vision Theory and Applications, written in Mathematica
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Cystic disease of the biliary duct is usually diagnosed by a specialist through examination of Magnetic Resonance Cholangiopancreatography (MRCP) images. However, due to the nature and flexible acquisition orientations of the MRCP, automated detection has thus far been unsuccessful. This paper attempts to use visually-oriented features to conduct automated preliminary diagnosis of the choledochol cyst in the central bile duct (CBD) of the liver, with the intention of highlighting the images in which the occurrence of the disease is suspected, for more detailed analysis by the specialists. The methodology and results of successful implementation of the proposed choledochol cyst detection system for MRCP is presented in this paper. The system's ability for preliminary automatic classification of MRCP images enables the further development of computer-aided diagnosis systems for MRCP.