基于影响因子的医学图像快速体绘制算法  

Fast Volume Rendering of Medical Images Driven by Importance Factor

作　　者：钟晓燕[1] 卜祥磊[2] 冯前进[1] 

机构地区：[1]南方医科大学生物医学工程学院,广东广州510515 [2]南方医院放疗科,广东广州510515

出　　处：《中国医学物理学杂志》2010年第3期1871-1875,共5页Chinese Journal of Medical Physics

基　　金：广东省产学研项目No.cgzhzd0717~~

摘　　要：目的:为了消除传统体切割算法的缺点,提出了一种基于影响因子的医学图像快速体绘制算法。方法:在应用GPU进行加速的基础上,将影响因子引入到传递函数的构造中,对重要组织、感兴趣器官部分的体数据赋予大的影响因子,相反则为其赋予小的影响因子,通过对体数据影响因子的调节来达到增强重要组织、感兴趣器官抑制次重要组织、非感兴趣器官的效果。结果:通过对由球形光照模型映射而来的纹理的索引来进行非真实感绘制,实现了对艺术式绘制风格的模拟,增强绘制图像对物体重要特征和细节的绘制能力。结论:该方法能够弥补传统切割算法的不足,在保证交互速度的前提下清楚地显示体数据内部的结构,为医务人员诊断提供尽可能多的信息。Objective： Fast volume rendering of medical images driven by importance factor is proposed in this paper to eliminate the drawback of traditional clipping algorithm. Methods： Besides applying the hardware acceleration, our algorithm inducts an additional value named importance factor in the transfer function space. We assign high value to the parts that are important and interested in and low value for the parts in the contrary. We are able to highlight the important structure and interested organs and suppress the less important structure and uninterested organs by modifying the factors. An image-based lighting model uses sphere maps to represent non-photorealistic rendering styles. Results： By mimicing the style of traditional illustrations, we can make a perfect depiction of important structures and details. Conclusion： This method can make up the insufficiency of the traditional clipping algorithm. It can show the internal structure clearly at an interactive speed and can provide the doctors as much information as possible.

关 键 词：体切割 GPU 影响因子 光照球 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]