An axial skeleton based surface deformation algorithm for patient specific anatomic modeling

B. M. Cameron, R. A. Robb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Traditionally, finite element analysis or mass-spring systems are used to calculate deformations of geometric surfaces. Patient-specific geometric models can be comprised of tens of thousands, even hundreds of thousands of polygons, making finite element analysis and mass-spring systems computationally demanding. Simulations using deformable patient specific models at real time rates are prohibitive under such a computational burden. This paper presents a method for simulating deformable surfaces by deforming a skeletal representation of the surface, rather than the surface itself, yielding an efficient method for interactive simulation with models.

Original languageEnglish (US)
Title of host publicationMedicine Meets Virtual Reality 2000 - Envisioning Healing
Subtitle of host publicationInteractive Technology and the Patient-Practitioner Dialogue
PublisherIOS Press
Pages53-58
Number of pages6
ISBN (Print)1586030140, 9781586030148
DOIs
StatePublished - Jan 1 2000
Event8th Annual Meeting of Medicine Meets Virtual Reality, MMVR 2000 - Newport Beach, CA, United States
Duration: Jan 27 2000Jan 30 2000

Publication series

NameStudies in Health Technology and Informatics
Volume70
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other8th Annual Meeting of Medicine Meets Virtual Reality, MMVR 2000
CountryUnited States
CityNewport Beach, CA
Period1/27/001/30/00

    Fingerprint

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Cameron, B. M., & Robb, R. A. (2000). An axial skeleton based surface deformation algorithm for patient specific anatomic modeling. In Medicine Meets Virtual Reality 2000 - Envisioning Healing: Interactive Technology and the Patient-Practitioner Dialogue (pp. 53-58). (Studies in Health Technology and Informatics; Vol. 70). IOS Press. https://doi.org/10.3233/978-1-60750-914-1-53