摘要
本文基于光线投射方法的体绘制三维可视化用技术,在光线投射采样过程中,对阻光度分别基于CT值自动分类和手动自定义分类,基于感兴趣区进行自定义分类,对颜色值分量分别基于剂量值进行自动分类,基于处方剂量进行自定义分类。这些分类方式及不同组合,使医生可以根据临床需要对阻光度及颜色进行定义,从而使得剂量分布可以基于需要进行三维可视化显示,从而使医生能更直观地判断相关组织的剂量分布情况。此外,由于基于光线投射理论的体绘制技术无需构造中间几何图元,使得基于患者CT图像体数据的三维可视化细节更加清晰。
In this paper based on the volume rendering 3D visualization technique with ray casting method, in ray casting sampling process, the opacity is classified by assigning the opacity to voxels according to CT value either auto- matically or manually user defined, and assigning the opacity to voxels according to region of interest. The color component is classified by assigning the color to voxels according to dose value automatically and assigning the color to voxels according to prescription dose manually user defined. With these classifications and their different combina- tions, doctor can define the opacity and color according to the clinical requirement, therefore the 3 D visualization ren- dering of the dose distribution can be achieved, and the doctor can judge the dose distribution in related tissue more intuitively. Besides, because the volume rendering technique based on ray casting theory does not require constructing intermediate graphics primitive pels, the 3D visualization details based on patient volume data are clearer.
出处
《仪器仪表学报》
EI
CAS
CSCD
北大核心
2013年第7期1675-1680,共6页
Chinese Journal of Scientific Instrument
基金
国家自然科学基金(61071057)资助项目
关键词
光线投射
体绘制
三维可视化
分类
处方剂量
ray casting
volume rendering
3D visualization
classification
prescription dose
