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 language | English |
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Title of host publication | Medicine Meets Virtual Reality 18 |
Subtitle of host publication | NextMed, MMVR18 |
Pages | 354-358 |
Number of pages | 5 |
Volume | 163 |
DOIs | |
Publication status | Published - 30 Mar 2011 |
Externally published | Yes |
Event | Medicine Meets Virtual Reality 18: NextMed, MMVR18 - Newport Beach, CA, United States Duration: 9 Feb 2011 → 12 Feb 2011 |
Conference
Conference | Medicine Meets Virtual Reality 18: NextMed, MMVR18 |
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Country/Territory | United States |
City | Newport Beach, CA |
Period | 9/02/11 → 12/02/11 |
Keywords
- Anatomy navigation system
- CPU-GPU balancing scheme
- CvhSlicer
ASJC Scopus subject areas
- Biomedical Engineering
- Health Informatics
- Health Information Management