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[Parallel virtual reality visualization of extreme large medical datasets].
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010 Apr; 27(2):283-7.SW

Abstract

On the basis of a brief description of grid computing, the essence and critical techniques of parallel visualization of extreme large medical datasets are discussed in connection with Intranet and common-configuration computers of hospitals. In this paper are introduced several kernel techniques, including the hardware structure, software framework, load balance and virtual reality visualization. The Maximum Intensity Projection algorithm is realized in parallel using common PC cluster. In virtual reality world, three-dimensional models can be rotated, zoomed, translated and cut interactively and conveniently through the control panel built on virtual reality modeling language (VRML). Experimental results demonstrate that this method provides promising and real-time results for playing the role in of a good assistant in making clinical diagnosis.

Authors+Show Affiliations

Tang M
School of Electronics and Information, Nantong University, Nantong 226007, China. tangmnt@yahoo.com.cn

MeSH

AlgorithmsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingProgramming LanguagesSoftwareTomography, X-Ray Computed

Pub Type(s)

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

Language

chi

PubMed ID

20481303

Citation

Tang, Min. "[Parallel Virtual Reality Visualization of Extreme Large Medical Datasets]." Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, vol. 27, no. 2, 2010, pp. 283-7.
Tang M. [Parallel virtual reality visualization of extreme large medical datasets]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010;27(2):283-7.
Tang, M. (2010). [Parallel virtual reality visualization of extreme large medical datasets]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, 27(2), 283-7.
Tang M. [Parallel Virtual Reality Visualization of Extreme Large Medical Datasets]. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2010;27(2):283-7. PubMed PMID: 20481303.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Parallel virtual reality visualization of extreme large medical datasets]. A1 - Tang,Min, PY - 2010/5/21/entrez PY - 2010/5/21/pubmed PY - 2012/1/10/medline SP - 283 EP - 7 JF - Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi JO - Sheng Wu Yi Xue Gong Cheng Xue Za Zhi VL - 27 IS - 2 N2 - On the basis of a brief description of grid computing, the essence and critical techniques of parallel visualization of extreme large medical datasets are discussed in connection with Intranet and common-configuration computers of hospitals. In this paper are introduced several kernel techniques, including the hardware structure, software framework, load balance and virtual reality visualization. The Maximum Intensity Projection algorithm is realized in parallel using common PC cluster. In virtual reality world, three-dimensional models can be rotated, zoomed, translated and cut interactively and conveniently through the control panel built on virtual reality modeling language (VRML). Experimental results demonstrate that this method provides promising and real-time results for playing the role in of a good assistant in making clinical diagnosis. SN - 1001-5515 UR - https://www.unboundmedicine.com/medline/citation/20481303/[Parallel_virtual_reality_visualization_of_extreme_large_medical_datasets]_ L2 - https://medlineplus.gov/mriscans.html DB - PRIME DP - Unbound Medicine ER -