Paper Info
Title
Analysis of the Pancreato-Biliary System from MRCP
Abstract
We present a preprocessing and segmentation scheme designed to address the particular difficulties encountered in the analysis of magnetic resonance cholangiopancreatography (MRCP) data, as a precursor to the application of computer assisted diagnosis (CAD) techniques. MRCP generates noisy, low resolution, non-isometric data which often exhibits significant greylevel inhomogeneities. This combination of characteristics results in data volumes in which reliable segmentation and analysis are difficult to achieve. In this paper we describe a data processing approach developed to overcome these difficulties and allow for the effective application of automated CAD procedures in the analysis of the biliary tree and pancreatic duct in MRCP examinations.
Year
DOI
Venue
2005
10.1109/CBMS.2005.31
CBMS
Keywords
Field
DocType
effective application,data processing approach,non-isometric data,reliable segmentation,automated cad procedure,biliary tree,mrcp examination,characteristics result,pancreato-biliary system,segmentation scheme,data volume,magnetic resonance,ducts,design automation,data processing,image processing,application software,image segmentation
CAD,Computer vision,Data processing,Pancreatic duct,Computer science,Segmentation,Image segmentation,Preprocessor,Artificial intelligence,Magnetic resonance cholangiopancreatography
Conference
ISSN
ISBN
Citations 
1063-7125
0-7695-2355-2
5
PageRank 
References 
Authors
0.89
3
2
Name
Order
Citations
PageRank
kevin robinson150.89
Paul F. Whelan256139.95