中国组织工程研究

中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (4): 741-744.doi: 10.3969/j.issn.1673-8225.2011.04.042

• 骨与关节综述 bone and joint review • 上一篇    下一篇

医学图像可视化及加速技术的研究进展和趋势

汤  敏1，陈  峰2，陶  玲3   

  1. 南通大学，1电子信息学院，2电气工程学院，江苏省南通市 226007；3 南京航空航天大学自动化学院，江苏省南京市  210016
  • 收稿日期:2010-04-10 修回日期:2010-06-08 出版日期:2011-01-22 发布日期:2011-01-22
  • 作者简介:汤 敏☆，女，1977年生，江苏省南通市人，汉族，2007年南京航空航天大学毕业，博士，讲师，主要从事图像处理及可视化研究。 tangmnt@yahoo.com.cn
  • 基金资助:

    江苏省普通高校自然科学基础研究项目(08KJD520021)；南通市科技项目应用研究计划(K2008036)；南通大学2008年度博士科研启动基金(08B15)项目；国家自然科学基金项目(61005054)。

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*

PDF

636

被引次数

26

摘要：

背景：近年来图像可视化技术蓬勃发展，相应的各种加速算法也层出不穷，但少有文献就此方面进行综述和概括。
目的：尝试对医学图像可视化技术及加速技术的研究进展和发展趋势进行归纳和概括。
方法：由第一作者检索2000/2009 PubMed数据及万方数据库有关医学图像三维重建、科学计算可视化、可视化加速技术等方面的文献。计算机初检得到56篇文献，根据纳入标准保留23篇进一步归纳总结。
结果与结论：医学图像可视化技术可以在重建三维图像模型的基础上，进行定性定量分析，便于人们更清楚地认识蕴涵在体数据中的复杂结构，这对于医学研究和临床诊断都具有十分重要的理论意义和应用价值。医学图像可视化技术通常分成面绘制和体绘制这两大类。由于面绘制技术的缺点和局限，以及计算机技术的迅猛发展，目前人们越来越多地关注体绘制技术及其加速技术。医学图像可视化技术及其加速技术如能与虚拟现实及GPU相结合，必能发挥更大的作用，真正体现其价值。

关键词: 科学计算可视化, 三维重建, 体绘制, 面绘制, 加速算法, 医学图像

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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