Introducing interactive inverse FEM simulation and its application for adaptive radiotherapy.

Details

Serval ID
serval:BIB_D5752FF01BA1
Type
Article: article from journal or magazin.
Collection
Publications
Title
Introducing interactive inverse FEM simulation and its application for adaptive radiotherapy.
Journal
Medical Image Computing and Computer-assisted Intervention : Miccai ... International Conference On Medical Image Computing and Computer-assisted Intervention
Author(s)
Coevoet E., Reynaert N., Lartigau E., Schiappacasse L., Dequidt J., Duriez C.
ISSN
0302-9743
ISSN-L
0302-9743
Publication state
Published
Issued date
2014
Peer-reviewed
Oui
Volume
17
Number
Pt 2
Pages
81-88
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't Publication Status: ppublish
Abstract
We introduce a new methodology for semi-automatic deformable registration of anatomical structures, using interactive inverse simulations. The method relies on non-linear real-time Finite Element Method (FEM) within a constraint-based framework. Given a set of few registered points provided by the user, a real-time optimization adapts the boundary conditions and(/or) some parameters of the FEM in order to obtain the adequate geometrical deformations. To dramatically fasten the process, the method relies on a projection of the model in the space of the optimization variables. In this reduced space, a quadratic programming problem is formulated and solved very quickly. The method is validated with numerical examples for retrieving Young's modulus and some pressures on the boundaries. Then, we apply the approach for the registration of the parotid glands during the radiotherapy of the head and neck cancer. Radiotherapy treatment induces weight loss that modifies the shape and the positions of these structures and they eventually intersect the target volume. We show how we could adapt the planning to limit the radiation of these glands.
Keywords
Computer Simulation, Dose Fractionation, Finite Element Analysis, Humans, Models, Biological, Pattern Recognition, Automated/methods, Radiographic Image Interpretation, Computer-Assisted/methods, Radiotherapy Planning, Computer-Assisted/methods, Radiotherapy, Image-Guided/methods, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique, Tomography, X-Ray Computed/methods, User-Computer Interface
Pubmed
Web of science
Create date
19/06/2015 14:52
Last modification date
20/08/2019 16:55
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