Reshaping medical volumetric data for enhanced visualization

D. Silver, N. Gagvani

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

2 Scopus citations

Abstract

Three dimensional volume datasets are now commonly produced in the medical sciences. These datasets are generated by observational equipment such as CT, MRI, and ultrasound. There is a significant amount of research in techniques to render these datasets quickly and more realistically. However, there is little or no work on intuitive methods to manipulate volume datasets and volume models. For example, one may want to view a colon stretched out or unraveled. While techniques exist to transform polygonal models, similar techniques are not available for volumetric data. In this work, we describe our methodology to "reshape volumes" and remap existing volumetric datasets using volumetric skeletons. We demonstrate our results by unraveling a 3D colon dataset and discuss the many potential uses of this new visualization methodology.

Original languageEnglish (US)
Title of host publicationMedicine Meets Virtual Reality 02/10 - Digital Upgrades
Subtitle of host publicationApplying Moore's Law to Health
PublisherIOS Press
Pages488-493
Number of pages6
ISBN (Print)1586032038, 9781586032036
DOIs
Publication statusPublished - Jan 1 2002
Event10th Annual Medicine Meets Virtual Reality Conference, MMVR 2002 - Newport Beach, CA, United States
Duration: Jan 23 2002Jan 26 2002

Publication series

NameStudies in Health Technology and Informatics
Volume85
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other10th Annual Medicine Meets Virtual Reality Conference, MMVR 2002
CountryUnited States
CityNewport Beach, CA
Period1/23/021/26/02

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All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Silver, D., & Gagvani, N. (2002). Reshaping medical volumetric data for enhanced visualization. In Medicine Meets Virtual Reality 02/10 - Digital Upgrades: Applying Moore's Law to Health (pp. 488-493). (Studies in Health Technology and Informatics; Vol. 85). IOS Press. https://doi.org/10.3233/978-1-60750-929-5-488