A Method to Compute Respiration Parameters for Patient-based Simulators
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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- Villard2012MMVR
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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 five patients and show that our new method leads to better results than our previous studies with manually tuned parameters.
Original language | English |
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Title of host publication | Proceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19) |
Place of Publication | Newport Beach, California |
Publisher | IOS Press |
Pages | 529-533 |
Number of pages | 5 |
Volume | 173 |
ISBN (electronic) | 978-1-61499-022-2 |
ISBN (print) | 978-1-61499-021-5 |
Publication status | Published - 1 Feb 2012 |
Event | Medicine Meets Virtual Reality 19 - Newport Beach, United States Duration: 9 Feb 2012 → 11 Feb 2012 http://www.nextmed.com/ |
Publication series
Name | Studies in Health Technology and Informatics |
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Publisher | IOS Press |
Conference
Conference | Medicine Meets Virtual Reality 19 |
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Abbreviated title | MMVR19 |
Country/Territory | United States |
City | Newport Beach |
Period | 9/02/12 → 11/02/12 |
Internet address |