A Method to Compute Respiration Parameters for Patient-based Simulators

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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 languageEnglish
Title of host publicationProceeding of Medicine Meets Virtual Reality 19 - NextMed (MMVR19)
Place of PublicationNewport Beach, California
PublisherIOS Press
Number of pages5
ISBN (Electronic)978-1-61499-022-2
ISBN (Print)978-1-61499-021-5
Publication statusPublished - 1 Feb 2012
EventMedicine Meets Virtual Reality 19 - Newport Beach, United States
Duration: 9 Feb 201211 Feb 2012

Publication series

NameStudies in Health Technology and Informatics
PublisherIOS Press


ConferenceMedicine Meets Virtual Reality 19
Abbreviated titleMMVR19
Country/TerritoryUnited States
CityNewport Beach
Internet address
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