A self-adapting fast reconstruction method for high resolution images in cone beam CT

摘要：

Reconstruction speed and image quality are the keys of 3D image reconstruction in cone beam CT (CBCT), this article have researched on the 3D image reconstruction in CBCT, and a self-adapting fast reconstruction method for high resolution images is presented. The method is based on the FDK algorithm and Zrline data first algorithm, which introduces the reconstruction task division algorithm based on Zline truncation, and load algorithm of filtered projection images based on the VOI reconstruction region. It divide the reconstruction task in a selfadapting method according to the task amount and memory size, thus reduce the data load amount and frequency of filtered projection images. The experimental results show that the method achieves fast reconstruction speed for high resolution images in CBCT, and the image quality almost has no difference with FDK algorithm.

关键词： reconstruction cone beam CT high resolution self-adapting FDK Z-line data first algorithm

作者: Mingjun Li Dinghua Zhang Kuidong Huang Qingchao Yu Shunli Zhang

作者单位: Key Lab of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education Northwestern Polytechnical University Xian, China, 710072

会议类型: 国际会议

会议名称: The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)

会议地点: 西安

会议语种:英文

页码: 23-27

在线出版日期: 2009-09-20（万方平台首次上网日期，不代表论文的发表时间）