3D needle-tissue interaction simulation for prostate brachytherapy.
Identifieur interne : 006248 ( Main/Exploration ); précédent : 006247; suivant : 0062493D needle-tissue interaction simulation for prostate brachytherapy.
Auteurs : Orcun Goksel [Canada] ; Septimiu E. Salcudean ; Simon P. Dimaio ; Robert Rohling ; James MorrisSource :
- Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention ; 2005.
English descriptors
- KwdEn :
- Brachytherapy (methods), Computer Simulation, Elasticity, Humans, Imaging, Three-Dimensional (methods), Male, Models, Biological, Needles, Prostatic Neoplasms (physiopathology), Prostatic Neoplasms (radiotherapy), Prosthesis Implantation (methods), Punctures (methods), Radiotherapy, Computer-Assisted (methods), User-Computer Interface, Viscosity.
- MESH :
- methods : Brachytherapy, Imaging, Three-Dimensional, Prosthesis Implantation, Punctures, Radiotherapy, Computer-Assisted.
- physiopathology : Prostatic Neoplasms.
- radiotherapy : Prostatic Neoplasms.
- Computer Simulation, Elasticity, Humans, Male, Models, Biological, Needles, User-Computer Interface, Viscosity.
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
Affiliations:
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Le document en format XML
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<author><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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<author><name sortKey="Rohling, Robert" sort="Rohling, Robert" uniqKey="Rohling R" first="Robert" last="Rohling">Robert Rohling</name>
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<author><name sortKey="Rohling, Robert" sort="Rohling, Robert" uniqKey="Rohling R" first="Robert" last="Rohling">Robert Rohling</name>
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<series><title level="j">Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention</title>
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<term>Imaging, Three-Dimensional (methods)</term>
<term>Male</term>
<term>Models, Biological</term>
<term>Needles</term>
<term>Prostatic Neoplasms (physiopathology)</term>
<term>Prostatic Neoplasms (radiotherapy)</term>
<term>Prosthesis Implantation (methods)</term>
<term>Punctures (methods)</term>
<term>Radiotherapy, Computer-Assisted (methods)</term>
<term>User-Computer Interface</term>
<term>Viscosity</term>
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<term>Imaging, Three-Dimensional</term>
<term>Prosthesis Implantation</term>
<term>Punctures</term>
<term>Radiotherapy, Computer-Assisted</term>
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<keywords scheme="MESH" qualifier="radiotherapy" xml:lang="en"><term>Prostatic Neoplasms</term>
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<front><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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<tree><noCountry><name sortKey="Dimaio, Simon P" sort="Dimaio, Simon P" uniqKey="Dimaio S" first="Simon P" last="Dimaio">Simon P. Dimaio</name>
<name sortKey="Morris, James" sort="Morris, James" uniqKey="Morris J" first="James" last="Morris">James Morris</name>
<name sortKey="Rohling, Robert" sort="Rohling, Robert" uniqKey="Rohling R" first="Robert" last="Rohling">Robert Rohling</name>
<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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<country name="Canada"><noRegion><name sortKey="Goksel, Orcun" sort="Goksel, Orcun" uniqKey="Goksel O" first="Orcun" last="Goksel">Orcun Goksel</name>
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