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CvhSlicer: an interactive cross-sectional anatomy navigation system based on high-resolution Chinese visible human data.
Stud Health Technol Inform. 2011; 163:354-8.SH

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.

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Authors+Show Affiliations

Meng Q
Department of Computer Science & Engineering, The Chinese University of Hong Kong.
Chui YP
No affiliation info available
Qin J
No affiliation info available
Kwok WH
No affiliation info available
Karmakar M
No affiliation info available
Heng PA
No affiliation info available

MeSH

ChinaComputer GraphicsComputer-Assisted InstructionData CompressionDatabases, FactualHumansImaging, Three-DimensionalInformation Storage and RetrievalUser-Computer InterfaceVisible Human Projects

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

21335818

Citation

Meng, Q, et al. "CvhSlicer: an Interactive Cross-sectional Anatomy Navigation System Based On High-resolution Chinese Visible Human Data." Studies in Health Technology and Informatics, vol. 163, 2011, pp. 354-8.
Meng Q, Chui YP, Qin J, et al. CvhSlicer: an interactive cross-sectional anatomy navigation system based on high-resolution Chinese visible human data. Stud Health Technol Inform. 2011;163:354-8.
Meng, Q., Chui, Y. P., Qin, J., Kwok, W. H., Karmakar, M., & Heng, P. A. (2011). CvhSlicer: an interactive cross-sectional anatomy navigation system based on high-resolution Chinese visible human data. Studies in Health Technology and Informatics, 163, 354-8.
Meng Q, et al. CvhSlicer: an Interactive Cross-sectional Anatomy Navigation System Based On High-resolution Chinese Visible Human Data. Stud Health Technol Inform. 2011;163:354-8. PubMed PMID: 21335818.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - CvhSlicer: an interactive cross-sectional anatomy navigation system based on high-resolution Chinese visible human data. AU - Meng,Q, AU - Chui,Y P, AU - Qin,J, AU - Kwok,W H, AU - Karmakar,M, AU - Heng,P A, PY - 2011/2/22/entrez PY - 2011/2/22/pubmed PY - 2011/5/18/medline SP - 354 EP - 8 JF - Studies in health technology and informatics JO - Stud Health Technol Inform VL - 163 N2 - 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. SN - 0926-9630 UR - https://www.unboundmedicine.com/medline/citation/21335818/CvhSlicer:_an_interactive_cross_sectional_anatomy_navigation_system_based_on_high_resolution_Chinese_visible_human_data_ L2 - https://ebooks.iospress.nl/Extern/EnterMedLine.aspx?ISSN=0926-9630&Volume=163&SPage=354 DB - PRIME DP - Unbound Medicine ER -