Reconstruction of biliary structure in 2D MRCP images using multi-scale analysis

Magnetic resonance cholangio pancreatography (MRCP) has become a reference technique for biliary tree analysis. Typical MRCP images. however, suffer from difficulty in distinguishing the structure of the biliary tree in order to identify abnormalities, for clinical diagnosis. For efficiency in analy...

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Main Author: LOGESWARAN, R
Format: Article
Published: PERGAMON-ELSEVIER SCIENCE LTD 2008
Subjects:
Online Access:http://shdl.mmu.edu.my/2761/
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author LOGESWARAN, R
author_facet LOGESWARAN, R
author_sort LOGESWARAN, R
building MMU Institutional Repository
collection Online Access
description Magnetic resonance cholangio pancreatography (MRCP) has become a reference technique for biliary tree analysis. Typical MRCP images. however, suffer from difficulty in distinguishing the structure of the biliary tree in order to identify abnormalities, for clinical diagnosis. For efficiency in analysing MRCP image series, the need arises for the use of semi-automated image processing techniques. A segment-based multi-scale approach is described, incorporated with image selection, enhancement and watershed segmentation, to identify and reconstruct the hierarchical biliary tree structure in 2D MRCP images. The results achieved may be further extended to higher dimensional images. (C) 2008 Elsevier Ltd. All rights reserved.
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spelling mmu-27612011-09-13T07:13:36Z http://shdl.mmu.edu.my/2761/ Reconstruction of biliary structure in 2D MRCP images using multi-scale analysis LOGESWARAN, R T Technology (General) QA75.5-76.95 Electronic computers. Computer science Magnetic resonance cholangio pancreatography (MRCP) has become a reference technique for biliary tree analysis. Typical MRCP images. however, suffer from difficulty in distinguishing the structure of the biliary tree in order to identify abnormalities, for clinical diagnosis. For efficiency in analysing MRCP image series, the need arises for the use of semi-automated image processing techniques. A segment-based multi-scale approach is described, incorporated with image selection, enhancement and watershed segmentation, to identify and reconstruct the hierarchical biliary tree structure in 2D MRCP images. The results achieved may be further extended to higher dimensional images. (C) 2008 Elsevier Ltd. All rights reserved. PERGAMON-ELSEVIER SCIENCE LTD 2008-03 Article NonPeerReviewed LOGESWARAN, R (2008) Reconstruction of biliary structure in 2D MRCP images using multi-scale analysis. Computers in Biology and Medicine, 38 (3). pp. 391-400. ISSN 00104825 http://dx.doi.org/10.1016/j.compbiomed.2008.01.001 doi:10.1016/j.compbiomed.2008.01.001 doi:10.1016/j.compbiomed.2008.01.001
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
LOGESWARAN, R
Reconstruction of biliary structure in 2D MRCP images using multi-scale analysis
title Reconstruction of biliary structure in 2D MRCP images using multi-scale analysis
title_full Reconstruction of biliary structure in 2D MRCP images using multi-scale analysis
title_fullStr Reconstruction of biliary structure in 2D MRCP images using multi-scale analysis
title_full_unstemmed Reconstruction of biliary structure in 2D MRCP images using multi-scale analysis
title_short Reconstruction of biliary structure in 2D MRCP images using multi-scale analysis
title_sort reconstruction of biliary structure in 2d mrcp images using multi-scale analysis
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/2761/
http://shdl.mmu.edu.my/2761/
http://shdl.mmu.edu.my/2761/