Scale-space segment growing for hierarchical detection of biliary tree structure
Liver diseases are a common medical problem, especially amongst the population of developing countries. Magnetic Resonance Cholangio Pancreatography (MRCP) has become the popular non-invasive, non-ionizing examination for analysis of the hepatobiliary structure in the liver. Unfortunately, conventio...
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| Format: | Article |
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2005
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| Online Access: | http://shdl.mmu.edu.my/2255/ |
| _version_ | 1848790006550757376 |
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| author | LOGESWARAN, RAJASVARAN |
| author_facet | LOGESWARAN, RAJASVARAN |
| author_sort | LOGESWARAN, RAJASVARAN |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | Liver diseases are a common medical problem, especially amongst the population of developing countries. Magnetic Resonance Cholangio Pancreatography (MRCP) has become the popular non-invasive, non-ionizing examination for analysis of the hepatobiliary structure in the liver. Unfortunately, conventional 2D MRCP images can be difficult to analyze for biliary tree anomalies, especially with volume effect, artefacts and noise present in these images, whilst good 3D MRI systems are costly for less affluent nations. This paper proposes a scale-space multi-resolution approach to a segment-based implementation of the popular region growing algorithm, to identify the hierarchical structure of the biliaxy tree in conventional 2D MRCP images. Results obtained are promising in aiding automatic processing of these images to assist medical practitioners in analyzing the biliary tract more efficiently. Application of the algorithm may be extended for telemedicine. |
| first_indexed | 2025-11-14T18:05:45Z |
| format | Article |
| id | mmu-2255 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:05:45Z |
| publishDate | 2005 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-22552011-09-12T02:28:20Z http://shdl.mmu.edu.my/2255/ Scale-space segment growing for hierarchical detection of biliary tree structure LOGESWARAN, RAJASVARAN QA75.5-76.95 Electronic computers. Computer science Liver diseases are a common medical problem, especially amongst the population of developing countries. Magnetic Resonance Cholangio Pancreatography (MRCP) has become the popular non-invasive, non-ionizing examination for analysis of the hepatobiliary structure in the liver. Unfortunately, conventional 2D MRCP images can be difficult to analyze for biliary tree anomalies, especially with volume effect, artefacts and noise present in these images, whilst good 3D MRI systems are costly for less affluent nations. This paper proposes a scale-space multi-resolution approach to a segment-based implementation of the popular region growing algorithm, to identify the hierarchical structure of the biliaxy tree in conventional 2D MRCP images. Results obtained are promising in aiding automatic processing of these images to assist medical practitioners in analyzing the biliary tract more efficiently. Application of the algorithm may be extended for telemedicine. 2005-03 Article NonPeerReviewed LOGESWARAN, RAJASVARAN (2005) Scale-space segment growing for hierarchical detection of biliary tree structure. International Journal of Wavelets, Multiresolution and Information Processing, 3 (1). pp. 125-140. ISSN 02196913 http://dx.doi.org/10.1142/S0219691305000750 doi:10.1142/S0219691305000750 doi:10.1142/S0219691305000750 |
| spellingShingle | QA75.5-76.95 Electronic computers. Computer science LOGESWARAN, RAJASVARAN Scale-space segment growing for hierarchical detection of biliary tree structure |
| title | Scale-space segment growing for hierarchical detection of biliary tree structure |
| title_full | Scale-space segment growing for hierarchical detection of biliary tree structure |
| title_fullStr | Scale-space segment growing for hierarchical detection of biliary tree structure |
| title_full_unstemmed | Scale-space segment growing for hierarchical detection of biliary tree structure |
| title_short | Scale-space segment growing for hierarchical detection of biliary tree structure |
| title_sort | scale-space segment growing for hierarchical detection of biliary tree structure |
| topic | QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2255/ http://shdl.mmu.edu.my/2255/ http://shdl.mmu.edu.my/2255/ |