DocumentCode
1119567
Title
Simulation of Biphasic CT Findings in Hepatic Cellular Carcinoma by a Two-Level Physiological Model
Author
Kretowski, Marek ; Bezy-Wendling, Johanne ; Coupe, Pierrick
Author_Institution
Fac. of Comput. Sci., Bialystok Tech. Univ.
Volume
54
Issue
3
fYear
2007
fDate
3/1/2007 12:00:00 AM
Firstpage
538
Lastpage
542
Abstract
In this paper, we present a two-level physiological model that is able to reflect morphology and function of vascular networks, in clinical images. Our approach results from the combination of a macroscopic model, providing simulation of the growth and pathological modifications of vascular network, and a microvascular model, based on compartmental approach, which simulates blood and contrast medium transfer through capillary walls. The two-level model is applied to generate biphasic computed tomography of hepatocellular carcinoma. A contrast-enhanced sequence of simulated images is acquired, and enhancement curves extracted from normal and tumoral regions are compared to curves obtained from in vivo images. The model offers the potential of finding early indicators of disease in clinical vascular images
Keywords
blood; cancer; cellular biophysics; computerised tomography; image enhancement; image sequences; liver; medical image processing; physiological models; tumours; biphasic CT; blood; capillary walls; compartmental approach; computed tomography; contrast medium transfer; contrast-enhanced image sequence; disease; enhancement curves; hepatic cellular carcinoma; microvascular model; pathological modifications; tumor; two-level physiological model; vascular network function; vascular network growth; vascular network morphology; Computational modeling; Computed tomography; Diseases; Microscopy; Morphology; Neoplasms; Pathology; Portals; Solid modeling; Veins; Compartment model; computed tomography simulation; enhancement curves; hepatocellular carcinoma; vascular model; Carcinoma, Hepatocellular; Computer Simulation; Humans; Liver Neoplasms; Models, Biological; Neovascularization, Pathologic; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Tomography, X-Ray Computed;
fLanguage
English
Journal_Title
Biomedical Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0018-9294
Type
jour
DOI
10.1109/TBME.2006.888834
Filename
4100837
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