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

Abstract 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...

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Bibliographic Details
Published in:Computers in biology and medicine 2008-03, Vol.38 (3), p.391-400
Main Author: Logeswaran, Rajasvaran
Format: Article
Language:English
Subjects:
Abdomen
Algorithms
Automation
Biliary Tract - pathology
Biliary Tract Diseases - diagnosis
Biliary tree structure detection
Cholangiopancreatography, Magnetic Resonance - methods
Data compression
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Internal Medicine
Magnetic resonance cholangio pancreatography
Medical image processing
Multi-scale analysis
Neural networks
Noise
Other
Studies
Watershed segmentation
Watersheds
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Description
Summary:Abstract 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.
ISSN:0010-4825
1879-0534
DOI:10.1016/j.compbiomed.2008.01.001