Chinese Journal of Tissue Engineering Research ›› 2011, Vol. 15 ›› Issue (4): 741-744.doi: 10.3969/j.issn.1673-8225.2011.04.042

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Research progress and development direction of visualization and accelerating techniques for medical images

Tang Min1, Chen Feng2, Tao Ling3   

  1. 1School of Electronics and Information, 2 School of Electrical Engineering, Nantong University, Nantong  226007, Jiangsu Province, China; 3College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, Jiangsu Province, China
  • Received:2010-04-10 Revised:2010-06-08 Online:2011-01-22 Published:2011-01-22
  • About author:Tang Min☆, Doctor, Lecturer, School of Electronics and Information, Nantong University, Nantong 226007, Jiangsu Province, China tangmnt@yahoo.com.cn
  • Supported by:

    the Natural Science Basic Research Program of Jiangsu Provincial High Institutes, No. 08KJD520021*; Nantong Science and Technology Applied Research Development Program, No. K2008036*; Scientific Research Starting Funds for Doctors of Nantong University in 2008, No. 08B15*; the National Natural Science Foundation of China, No.61005054*

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Abstract:

BACKGROUND: Algorithms of reconstruction and visualization for medical images are increasing. However, there are few reviews on research progress and development direction.
OBJECTIVE: To present a survey of recent publication concerning about visualization and accelerating techniques for medical images.
METHODS: PubMed database and Wanfang database were retrieved for publications of visualization and accelerating techniques for medical images published from 2000 to 2009. Repetitive studies were excluded. A total of 56 literatures were primarily obtained, while 23 were selected for summary according to inclusion criteria.
RESULTS AND CONCLUSION: Visualization techniques for medical images can perform quantitative and qualitative analysis based on three-dimensional image models to facilitate understanding of complex structures in vivo, which is significant and valuable for medical research and clinical diagnosis. Visualization techniques for medical images are divided into surface rendering and volume rendering. Due to limitations of surface rendering and rapid development of computer techniques, volume rendering has aroused increasing attention. Three-dimensional reconstruction and visualization of medical images, accompanied with virtual reality and GPU technology, is a powerful strategy allowing the evaluation of significant structures.

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