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3D needle-tissue interaction simulation for prostate brachytherapy.

Identifieur interne : 001796 ( PubMed/Corpus ); précédent : 001795; suivant : 001797

3D needle-tissue interaction simulation for prostate brachytherapy.

Auteurs : Orcun Goksel ; Septimiu E. Salcudean ; Simon P. Dimaio ; Robert Rohling ; James Morris

Source :

RBID : pubmed:16685923

English descriptors

Abstract

This paper presents a needle-tissue interaction model that is a 3D extension of a prior work based on the finite element method. The model is also adapted to accommodate arbitrary meshes so that the anatomy can effectively be meshed using third-party algorithms. Using this model a prostate brachytherapy simulator is designed to help medical residents acquire needle steering skills. This simulation uses a prostate mesh generated from clinical data segmented as contours on parallel slices. Node repositioning and addition, which are methods for achieving needle-tissue coupling, are discussed. In order to achieve realtime haptic rates, computational approaches to these methods are compared. Specifically, the benefit of using the Woodbury formula (matrix inversion lemma) is studied. Our simulation of needle insertion into a prostate is shown to run faster than 1 kHz.

PubMed: 16685923

Links to Exploration step

pubmed:16685923

Le document en format XML

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<name sortKey="Salcudean, Septimiu E" sort="Salcudean, Septimiu E" uniqKey="Salcudean S" first="Septimiu E" last="Salcudean">Septimiu E. Salcudean</name>
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<div type="abstract" xml:lang="en">This paper presents a needle-tissue interaction model that is a 3D extension of a prior work based on the finite element method. The model is also adapted to accommodate arbitrary meshes so that the anatomy can effectively be meshed using third-party algorithms. Using this model a prostate brachytherapy simulator is designed to help medical residents acquire needle steering skills. This simulation uses a prostate mesh generated from clinical data segmented as contours on parallel slices. Node repositioning and addition, which are methods for achieving needle-tissue coupling, are discussed. In order to achieve realtime haptic rates, computational approaches to these methods are compared. Specifically, the benefit of using the Woodbury formula (matrix inversion lemma) is studied. Our simulation of needle insertion into a prostate is shown to run faster than 1 kHz.</div>
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