Prostate brachytherapy training with simulated ultrasound and fluoroscopy images.
Identifieur interne : 001938 ( Main/Merge ); précédent : 001937; suivant : 001939Prostate brachytherapy training with simulated ultrasound and fluoroscopy images.
Auteurs : Orcun Goksel [Suisse] ; Kirill Sapchuk ; William J. Morris ; Septimiu E. SalcudeanSource :
- IEEE transactions on bio-medical engineering [ 1558-2531 ] ; 2013.
English descriptors
- KwdEn :
- Brachytherapy (methods), Computer Simulation, Finite Element Analysis, Fluoroscopy (methods), Humans, Image Processing, Computer-Assisted (methods), Male, Models, Theoretical, Phantoms, Imaging, Prostatic Neoplasms (radiotherapy), Prostatic Neoplasms (ultrasonography), Radiometry, Radiotherapy Planning, Computer-Assisted (methods), Ultrasound, High-Intensity Focused, Transrectal.
- MESH :
- methods : Brachytherapy, Fluoroscopy, Image Processing, Computer-Assisted, Radiotherapy Planning, Computer-Assisted.
- radiotherapy : Prostatic Neoplasms.
- ultrasonography : Prostatic Neoplasms.
- Computer Simulation, Finite Element Analysis, Humans, Male, Models, Theoretical, Phantoms, Imaging, Radiometry, Ultrasound, High-Intensity Focused, Transrectal.
Abstract
In this paper, a novel computer-based virtual training system for prostate brachytherapy is presented. This system incorporates, in a novel way, prior methodologies of ultrasound image synthesis and haptic transrectal ultrasound (TRUS) transducer interaction in a complete simulator that allows a trainee to maneuver the needle and the TRUS, to see the resulting patient-specific images and feel the interaction forces. The simulated TRUS images reflect the volumetric tissue deformation and comprise validated appearance models for the needle and implanted seeds. Rendered haptic forces use validated models for needle shaft flexure and friction, tip cutting, and deflection due to bevel. This paper also presents additional new features that make the simulator complete, in the sense that all aspects of the brachytherapy procedure as practiced at many cancer centers are simulated, including simulations of seed unloading, fluoroscopy imaging, and transversal/sagittal TRUS plane switching. For real-time rendering, methods for fast TRUS-needle-seed image formation are presented. In addition, the simulator computes real-time dosimetry, allowing a trainee to immediately see the consequence of planning changes. The simulation is also patient specific, as it allows the user to import the treatment plan for a patient together with the imaging data in order for a physician to practice an upcoming procedure or for a medical resident to train using typical implant scenarios or rarely encountered cases.
DOI: 10.1109/TBME.2012.2222642
PubMed: 23047861
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pubmed:23047861Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Prostate brachytherapy training with simulated ultrasound and fluoroscopy images.</title><author><name sortKey="Goksel, Orcun" sort="Goksel, Orcun" uniqKey="Goksel O" first="Orcun" last="Goksel">Orcun Goksel</name><affiliation wicri:level="1"><nlm:affiliation>Computer Vision Laboratory of the Swiss Federal Institute of Technology (ETH), Zurich 8092, Switzerland. ogoksel@ethz.ch</nlm:affiliation><country xml:lang="fr">Suisse</country><wicri:regionArea>Computer Vision Laboratory of the Swiss Federal Institute of Technology (ETH), Zurich 8092</wicri:regionArea><wicri:noRegion>Zurich 8092</wicri:noRegion></affiliation></author><author><name sortKey="Sapchuk, Kirill" sort="Sapchuk, Kirill" uniqKey="Sapchuk K" first="Kirill" last="Sapchuk">Kirill Sapchuk</name></author><author><name sortKey="Morris, William J" sort="Morris, William J" uniqKey="Morris W" first="William J" last="Morris">William J. Morris</name></author><author><name sortKey="Salcudean, Septimiu E" sort="Salcudean, Septimiu E" uniqKey="Salcudean S" first="Septimiu E" last="Salcudean">Septimiu E. Salcudean</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="doi">10.1109/TBME.2012.2222642</idno><idno type="RBID">pubmed:23047861</idno><idno type="pmid">23047861</idno><idno type="wicri:Area/PubMed/Corpus">000B22</idno><idno type="wicri:Area/PubMed/Curation">000B22</idno><idno type="wicri:Area/PubMed/Checkpoint">000825</idno><idno type="wicri:Area/Ncbi/Merge">002275</idno><idno type="wicri:Area/Ncbi/Curation">002275</idno><idno type="wicri:Area/Ncbi/Checkpoint">002275</idno><idno type="wicri:Area/Main/Merge">001938</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Prostate brachytherapy training with simulated ultrasound and fluoroscopy images.</title><author><name sortKey="Goksel, Orcun" sort="Goksel, Orcun" uniqKey="Goksel O" first="Orcun" last="Goksel">Orcun Goksel</name><affiliation wicri:level="1"><nlm:affiliation>Computer Vision Laboratory of the Swiss Federal Institute of Technology (ETH), Zurich 8092, Switzerland. ogoksel@ethz.ch</nlm:affiliation><country xml:lang="fr">Suisse</country><wicri:regionArea>Computer Vision Laboratory of the Swiss Federal Institute of Technology (ETH), Zurich 8092</wicri:regionArea><wicri:noRegion>Zurich 8092</wicri:noRegion></affiliation></author><author><name sortKey="Sapchuk, Kirill" sort="Sapchuk, Kirill" uniqKey="Sapchuk K" first="Kirill" last="Sapchuk">Kirill Sapchuk</name></author><author><name sortKey="Morris, William J" sort="Morris, William J" uniqKey="Morris W" first="William J" last="Morris">William J. Morris</name></author><author><name sortKey="Salcudean, Septimiu E" sort="Salcudean, Septimiu E" uniqKey="Salcudean S" first="Septimiu E" last="Salcudean">Septimiu E. Salcudean</name></author></analytic><series><title level="j">IEEE transactions on bio-medical engineering</title><idno type="eISSN">1558-2531</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Brachytherapy (methods)</term><term>Computer Simulation</term><term>Finite Element Analysis</term><term>Fluoroscopy (methods)</term><term>Humans</term><term>Image Processing, Computer-Assisted (methods)</term><term>Male</term><term>Models, Theoretical</term><term>Phantoms, Imaging</term><term>Prostatic Neoplasms (radiotherapy)</term><term>Prostatic Neoplasms (ultrasonography)</term><term>Radiometry</term><term>Radiotherapy Planning, Computer-Assisted (methods)</term><term>Ultrasound, High-Intensity Focused, Transrectal</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Brachytherapy</term><term>Fluoroscopy</term><term>Image Processing, Computer-Assisted</term><term>Radiotherapy Planning, Computer-Assisted</term></keywords><keywords scheme="MESH" qualifier="radiotherapy" xml:lang="en"><term>Prostatic Neoplasms</term></keywords><keywords scheme="MESH" qualifier="ultrasonography" xml:lang="en"><term>Prostatic Neoplasms</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Computer Simulation</term><term>Finite Element Analysis</term><term>Humans</term><term>Male</term><term>Models, Theoretical</term><term>Phantoms, Imaging</term><term>Radiometry</term><term>Ultrasound, High-Intensity Focused, Transrectal</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In this paper, a novel computer-based virtual training system for prostate brachytherapy is presented. This system incorporates, in a novel way, prior methodologies of ultrasound image synthesis and haptic transrectal ultrasound (TRUS) transducer interaction in a complete simulator that allows a trainee to maneuver the needle and the TRUS, to see the resulting patient-specific images and feel the interaction forces. The simulated TRUS images reflect the volumetric tissue deformation and comprise validated appearance models for the needle and implanted seeds. Rendered haptic forces use validated models for needle shaft flexure and friction, tip cutting, and deflection due to bevel. This paper also presents additional new features that make the simulator complete, in the sense that all aspects of the brachytherapy procedure as practiced at many cancer centers are simulated, including simulations of seed unloading, fluoroscopy imaging, and transversal/sagittal TRUS plane switching. For real-time rendering, methods for fast TRUS-needle-seed image formation are presented. In addition, the simulator computes real-time dosimetry, allowing a trainee to immediately see the consequence of planning changes. The simulation is also patient specific, as it allows the user to import the treatment plan for a patient together with the imaging data in order for a physician to practice an upcoming procedure or for a medical resident to train using typical implant scenarios or rarely encountered cases.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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