医学图像可视化及加速技术的研究进展和趋势

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2000／2009PubMed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。

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

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.