基于GPU实现的数字合成X射线体层成像投影数据的模拟方法

基金项目:

国家自然科学基金(61071210)

辽宁省优秀人才基金

详细信息

Tomosynthesis Projection Simulation Based on GPU

School of Information and Communication Engineering, Dalian University of Technology, Dalian 116023, China

摘要: 数字合成X射线体层成像技术能利用有限角度下的投影数据重建物体任意断层的图像。在数字合成X射线体层成像重建算法研究中,模拟投影数据是重要的步骤,本文提出了一种基于GPU光线投射算法的数字合成X射线体层成像投影数据模拟方法。比较传统CPU模拟手段,GPU模拟方法计算速率快,且基于硬件支持的三线性插值能够得到更加接近实际的投影结果。本文采用传统CPU模拟方法和GPU模拟方法分别计算投影数据,对两种方法获得投影使用ART算法和小波-伽辽金方法进行重建,得到较好的重建效果。
- Tomosynthesis /
- 投影数据模拟 /
- 光线投射算法 /
- GPU
Abstract: Tomosynthesis can reconstruct any sectional image of object using limited angle projection. Before the research of reconstruction method,projection simulation is an important step,this paper proposed a projection simulation method based on GPU Raycasting algorithm. Comparing to CPU simulation method,GPU simulation method is faster in calculation and much closer to the practical projection based on hardware-based trilinear interpolation. This paper simulates projection using traditional CPU method and GPU method respectively,reconstructs the projections above by ART algorithm and Wavelet-Galerkin algorithm and achieves good results.
- tomosynthesis /
- projection simulation /
- raycasting /
- GPU