DocumentCode
2181739
Title
Modeling hepatic enhancement in computer tomography for texture interpretation
Author
Wendling, Johanne Bézy ; Kretowski, Marek
Author_Institution
Lab. Traitement du Signal et de l´´Image, Rennes I Univ., France
fYear
2002
fDate
2002
Firstpage
141
Lastpage
144
Abstract
The objective of this study is to show how computational modeling can be used to study the textural feature variations in computed tomography (CT). Two models are combined to result in the simulation of liver enhancement. First, a physiological vascular model is used to generate the three-dimensional hepatic vascular network from the main branches (hepatic artery, portal vein and hepatic vein) to small arterioles and veinules. Then, the propagation of the contrast material is simulated through this macro-vascular network and at the microscopic level in the parenchyma. The physical process of CT acquisition allows a timed-stamped series of images to be synthesized with varying acquisition parameters. This approach is applied to track the evolution of the texture corresponding to a hyper-vascular tumor.
Keywords
blood vessels; computerised tomography; feature extraction; image enhancement; image texture; liver; medical image processing; physiological models; tumours; CT acquisition physical process; acquisition parameters; computational modeling; computer tomography; contrast material propagation; hepatic artery; hepatic enhancement modeling; hepatic vein; hyper-vascular tumor; liver enhancement simulation; macro-vascular network; microscopic level; parenchyma; physiological vascular model; portal vein; small arterioles; textural feature variations; texture; texture interpretation; three-dimensional hepatic vascular network; timed-stamped series; veinules; Arteries; Blood; Computational modeling; Computed tomography; Computer science; Image texture analysis; Liver neoplasms; Microscopy; Portals; Veins;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging, 2002. Proceedings. 2002 IEEE International Symposium on
Print_ISBN
0-7803-7584-X
Type
conf
DOI
10.1109/ISBI.2002.1029213
Filename
1029213
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