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CLC number: TP391.4; R73

On-line Access: 2010-06-02

Received: 2009-07-04

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.6 P.418-424

http://doi.org/10.1631/jzus.C0910402


Three-dimensional organ modeling based on deformable surfaces applied to radio-oncology


Author(s):  Gloria Bueno, Oscar Dniz, Jess Salido, Carmen Carrascosa, Jos M. Delgado

Affiliation(s):  Grupo de Visin y Sistemas Inteligentes, Universidad de Castilla-La Mancha, E.T.S. Ingenieros Industriales Avda. Camilo Jos Cela, 3. 13071 Ciudad Real, Spain, Hospital General de Ciudad Real, Tomelloso s/n. 13005 Ciudad Real, Spain, Instituto Oncolgico (Grupo IMO) Modesto Lafuente, 14, 28010 Madrid, Spain

Corresponding email(s):   Gloria.Bueno@uclm.es

Key Words:  3D biomechanical organ modeling, Energy minimizing deformable model, Finite element model, Geodesic active contour, Radiotherapy treatment planning


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Gloria Bueno, Oscar Dniz, Jess Salido, Carmen Carrascosa, Jos M. Delgado. Three-dimensional organ modeling based on deformable surfaces applied to radio-oncology[J]. Journal of Zhejiang University Science C, 2010, 11(6): 418-424.

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Abstract: 
This paper describes a method based on an energy minimizing deformable model applied to the 3D biomechanical modeling of a set of organs considered as regions of interest (ROI) for radiotherapy. The initial model consists of a quadratic surface that is deformed to the exact contour of the ROI by means of the physical properties of a mass-spring system. The exact contour of each ROI is first obtained using a geodesic active contour model. The ROI is then parameterized by the vibration modes resulting from the deformation process. Once each structure has been defined, the method provides a 3D global model including the whole set of ROIs. This model allows one to describe statistically the most significant variations among its structures. Statistical ROI variations among a set of patients or through time can be analyzed. Experimental results are presented using the pelvic zone to simulate anatomical variations among structures and its application in radiotherapy treatment planning.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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