Authors: Rajasvaran Logeswaran
Publish Date: 2008/09/03
Volume: 33, Issue: 6, Pages: 423-
Abstract
Magnetic resonance cholangiopancreatography MRCP is the popular diagnostic imaging sequence for the diagnosis and surgery workup for the pancreatobiliary system and liver The technique is relatively noisy and suffers from imaging characteristics such as the partial volume effect and varying acquisition orientation making automatic analysis of the images difficult This paper explores some of the popular image processing techniques with the goal of selecting suitable features in MRCP images as a basis for preliminary computeraided diagnosis systems in biliary structure image reconstruction and disease detection Visual results and observations are given and analyzed The findings support that many popular techniques such as texture analysis fail to highlight the structures of interest in MRCP images whereas multiscale multiresolution and dynamic thresholding achieve better success The proposed multiscale combination technique known as the SegmentGrowing Hierarchical Model produced good visual results for detection of the bile ducts
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