DocumentCode
1946083
Title
The Simulation of Benign Tumor Growth in Blood Vessels Circumstance
Author
Jian-Hong, Gan ; Pei-Dong, DAI ; Qiang, Peng ; Chen, Jim X. ; Tian-Yu, Zhang ; Zheng-Min, Wang
Author_Institution
Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu
Volume
1
fYear
2008
fDate
12-14 Dec. 2008
Firstpage
223
Lastpage
227
Abstract
It is very important to predict displacements and deformations of the vessels near tumor before actinotheraphy or surgery. To simulate the influence to blood vessel induced by tumor growth, cellular automata is employed to simulate the tumor growth, and the tumor geometrical model is meshed to construct the finite element model with tetrahedron cells. At the same time, the vascular geometric model is constructed from a series of pictures and the blood vessels model is distilled from the model with the step of refining the vessels mesh following up to set up the FE thin shell model with triangle units. By collision detection method, contacted points are located and the forces are exerted on the point sets to simulate interaction caused by tumor growth. The experiment shows that the shape and location of tumor and blood vessels change, which conform to real case, and the model can predict the tumor growth status and the influence to tissues around the tumor.
Keywords
blood vessels; cellular automata; haemodynamics; medical computing; mesh generation; surgery; tumours; FE thin shell model; actinotheraphy; blood vessels model; cellular automata; collision detection method; finite element model; mesh generation; surgery; tetrahedron cells; tumor geometrical model; tumor growth; vascular geometric model; Benign tumors; Blood vessels; Cells (biology); Computational modeling; Computer science; Deformable models; Hospitals; Mathematical model; Neoplasms; Solid modeling; blood vessel; cellular automata; growth simulation; thin shell model; tumor;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location
Wuhan, Hubei
Print_ISBN
978-0-7695-3336-0
Type
conf
DOI
10.1109/CSSE.2008.972
Filename
4721731
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