A method to compute respiration parameters for patient-based simulators.
Identifieur interne : 000129 ( Ncbi/Curation ); précédent : 000128; suivant : 000130A method to compute respiration parameters for patient-based simulators.
Auteurs : Pierre-Frédéric Villard [France] ; Franck P. Vidal ; Fernando Bello ; Nigel W. JohnSource :
- Studies in health technology and informatics [ 0926-9630 ] ; 2012.
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Abstract
We propose a method to automatically tune a patient-based virtual environment training simulator for abdominal needle insertion. The key attributes to be customized in our framework are the elasticity of soft-tissues and the respiratory model parameters. The estimation is based on two 3D Computed Tomography (CT) scans of the same patient at two different time steps. Results are presented on four patients and show that our new method leads to better results than our previous studies with manually tuned parameters.
PubMed: 22357051
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pubmed:22357051Le document en format XML
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Vidal</name></author><author><name sortKey="Bello, Fernando" sort="Bello, Fernando" uniqKey="Bello F" first="Fernando" last="Bello">Fernando Bello</name></author><author><name sortKey="John, Nigel W" sort="John, Nigel W" uniqKey="John N" first="Nigel W" last="John">Nigel W. John</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2012">2012</date><idno type="RBID">pubmed:22357051</idno><idno type="pmid">22357051</idno><idno type="wicri:Area/PubMed/Corpus">000088</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000088</idno><idno type="wicri:Area/PubMed/Curation">000088</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000088</idno><idno type="wicri:Area/PubMed/Checkpoint">000088</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000088</idno><idno type="wicri:Area/Ncbi/Merge">000131</idno><idno type="wicri:Area/Ncbi/Curation">000129</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">A method to compute respiration parameters for patient-based simulators.</title><author><name sortKey="Villard, Pierre Frederic" sort="Villard, Pierre Frederic" uniqKey="Villard P" first="Pierre-Frédéric" last="Villard">Pierre-Frédéric Villard</name><affiliation wicri:level="1"><nlm:affiliation>LORIA, Nancy university, France. villardp@loria.fr</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>LORIA, Nancy university</wicri:regionArea><wicri:noRegion>Nancy university</wicri:noRegion><wicri:noRegion>Nancy university</wicri:noRegion></affiliation></author><author><name sortKey="Vidal, Franck P" sort="Vidal, Franck P" uniqKey="Vidal F" first="Franck P" last="Vidal">Franck P. Vidal</name></author><author><name sortKey="Bello, Fernando" sort="Bello, Fernando" uniqKey="Bello F" first="Fernando" last="Bello">Fernando Bello</name></author><author><name sortKey="John, Nigel W" sort="John, Nigel W" uniqKey="John N" first="Nigel W" last="John">Nigel W. John</name></author></analytic><series><title level="j">Studies in health technology and informatics</title><idno type="ISSN">0926-9630</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Abdomen</term><term>Algorithms</term><term>Biopsy, Fine-Needle</term><term>Computer Simulation</term><term>Humans</term><term>Imaging, Three-Dimensional</term><term>Models, Biological</term><term>Motion</term><term>Respiration</term><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Abdomen</term><term>Algorithmes</term><term>Cytoponction</term><term>Déplacement</term><term>Humains</term><term>Imagerie tridimensionnelle</term><term>Modèles biologiques</term><term>Respiration</term><term>Simulation numérique</term><term>Tomodensitométrie</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Abdomen</term><term>Algorithms</term><term>Biopsy, Fine-Needle</term><term>Computer Simulation</term><term>Humans</term><term>Imaging, Three-Dimensional</term><term>Models, Biological</term><term>Motion</term><term>Respiration</term><term>Tomography, X-Ray Computed</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Abdomen</term><term>Algorithmes</term><term>Cytoponction</term><term>Déplacement</term><term>Humains</term><term>Imagerie tridimensionnelle</term><term>Modèles biologiques</term><term>Respiration</term><term>Simulation numérique</term><term>Tomodensitométrie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We propose a method to automatically tune a patient-based virtual environment training simulator for abdominal needle insertion. The key attributes to be customized in our framework are the elasticity of soft-tissues and the respiratory model parameters. The estimation is based on two 3D Computed Tomography (CT) scans of the same patient at two different time steps. Results are presented on four patients and show that our new method leads to better results than our previous studies with manually tuned parameters.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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