CvhSlicer: An interactive cross-sectional anatomy navigation system based on high-resolution chinese visible human data

Q. Meng, Y. P. Chui, Jing Qin, W. H. Kwok, M. Karmakar, P. A. Heng

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

We introduce the design and implementation of an interactive system for the navigation of cross-sectional anatomy based on Chinese Visible Human (CVH) data, named CvhSlicer. This system is featured in real-time computation and rendering of high-resolution anatomical images on standard personal computers (PCs) equipped with commodity Graphics Processing Units (GPUs). In order to load the whole-body dataset into the memory of a common PC, several processing steps are first applied to compress the huge CVH data. Thereafter, an adaptive CPU-GPU balancing scheme is performed to dynamically distribute rendering tasks among CPU and GPU based on parameters of computing resources. Experimental results demonstrate that our system can achieve real-time performance and has great potential to be used in anatomy education.
Original languageEnglish
Title of host publicationMedicine Meets Virtual Reality 18
Subtitle of host publicationNextMed, MMVR18
Pages354-358
Number of pages5
Volume163
DOIs
Publication statusPublished - 30 Mar 2011
Externally publishedYes
EventMedicine Meets Virtual Reality 18: NextMed, MMVR18 - Newport Beach, CA, United States
Duration: 9 Feb 201112 Feb 2011

Conference

ConferenceMedicine Meets Virtual Reality 18: NextMed, MMVR18
CountryUnited States
CityNewport Beach, CA
Period9/02/1112/02/11

Keywords

  • Anatomy navigation system
  • CPU-GPU balancing scheme
  • CvhSlicer

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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