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

doi:10.3233/978-1-60750-706-2-354

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 proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
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	https://doi.org/10.3233/978-1-60750-706-2-354
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
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

More information

10.3233/978-1-60750-706-2-354

Cite this

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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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note = "Medicine Meets Virtual Reality 18: NextMed, MMVR18 ; Conference date: 09-02-2011 Through 12-02-2011",

}

Meng, Q, Chui, YP, Qin, J, Kwok, WH, Karmakar, M & Heng, PA 2011, CvhSlicer: An interactive cross-sectional anatomy navigation system based on high-resolution chinese visible human data. in Medicine Meets Virtual Reality 18: NextMed, MMVR18. vol. 163, pp. 354-358, Medicine Meets Virtual Reality 18: NextMed, MMVR18, Newport Beach, CA, United States, 9/02/11. https://doi.org/10.3233/978-1-60750-706-2-354

CvhSlicer: An interactive cross-sectional anatomy navigation system based on high-resolution chinese visible human data. / Meng, Q.; Chui, Y. P.; Qin, Jing et al.

Medicine Meets Virtual Reality 18: NextMed, MMVR18. Vol. 163 2011. p. 354-358.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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

Abstract

Conference

Keywords

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