DocumentCode :
2625732
Title :
Needle Insertion Point and Orientation Optimization in Non-linear Tissue with Application to Brachytherapy
Author :
Dehghan, Ehsan ; Salcudean, Septimiu E.
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC
fYear :
2007
fDate :
10-14 April 2007
Firstpage :
2267
Lastpage :
2272
Abstract :
This paper presents a new method of optimizing the needle insertion point, heading and depth for needle insertion into deformable tissue. The goal is to minimize the distance between a number of specified targets and the needle. Assuming a rigid needle and a deformable tissue described by a finite element model, an iterative optimization method is proposed that uses the needle insertion simulation. At each iteration, the best fitted 3D line to the targets in the simulated deformed configuration is used as a candidate for the new insertion line in the next iteration. This method has been implemented in a prostate brachytherapy simulator to minimize seed misplacement errors. The targets are designed to lie on a straight line in the undeformed configuration inside the prostate. To increase the accuracy while simulating the prostate rotation, a non-linear model is used. The neo-Hookean material model is exploited to determine the effects of geometric and mechanical nonlinearities and compressibility effects. It is shown that the optimization algorithm converges in few iterations and decreases the targeting error effectively.
Keywords :
biological organs; biological tissues; brachytherapy; control nonlinearities; finite element analysis; iterative methods; medical control systems; needles; optimisation; position control; deformable tissue; finite element model; geometric nonlinearities; iterative optimization method; mechanical nonlinearities; needle insertion point; needle orientation optimization; neoHookean material model; nonlinear model; nonlinear tissue; prostate brachytherapy; prostate rotation; seed misplacement error; Brachytherapy; Deformable models; Finite element methods; Iterative methods; Needles; Optimization methods; Prostate cancer; Robotics and automation; Robots; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 2007 IEEE International Conference on
Conference_Location :
Roma
ISSN :
1050-4729
Print_ISBN :
1-4244-0601-3
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2007.363657
Filename :
4209421
Link To Document :
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