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)


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
Number of pages5
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


ConferenceMedicine Meets Virtual Reality 18: NextMed, MMVR18
Country/TerritoryUnited States
CityNewport Beach, CA


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

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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