A GPU-based fast volume CT reconstructive algorithm method.
- Author:
Zhonghua LI
1
;
Fugen ZHOU
;
Xiangzhi BAI
Author Information
1. Image Processing Center, School of Astronautics, Beihang University, Beijing 100191, China. lzh_buaa@qq.com
- Publication Type:Journal Article
- MeSH:
Algorithms;
Computer Graphics;
Cone-Beam Computed Tomography;
instrumentation;
methods;
Humans;
Image Processing, Computer-Assisted;
methods;
Radiographic Image Enhancement;
methods;
Radiographic Image Interpretation, Computer-Assisted;
methods
- From:
Journal of Biomedical Engineering
2011;28(2):238-242
- CountryChina
- Language:Chinese
-
Abstract:
In order to solve the time-consuming problem in volume CT image reconstruction field, we brought forward a fast reconstructive algorithm method to fit the clinic medicine. First, using the great parallel and Floating-Point power of graphic processing unit (GPU), we proposed a volume CT GPU- based reconstruction method. Second, in order to reduce the repetitive operation, we separated the geometry computation and pixel computation. As a result, the computation efficiency was further improved. At last, based on the background of medical engineering, the parallel of volume CT scan and reconstruction was implemented. The results demonstrated that the volume CT reconstruction time could reduce up to 70 times compared to the previous one in common PC by the fast reconstructive algorithm method.
