A multi-thread scheduling method for 3D CT image reconstruction using multi-GPU.
As a whole process, we present a concept that the complete reconstruction of CT image should include the computation part on GPUs and the data storage part on hard disks. From this point of view, we propose a Multi-Thread Scheduling (MTS) method to implement the 3D CT image reconstruction such as using FDK algorithm, to trade off the computing and storage time. In this method we use Multi-Threads to control GPUs and a separate thread to accomplish data storage, so that we make the calculation and data storage simultaneously. In addition, we use the 4-channel texture to maintain symmetrical projection data in CUDA framework, which can reduce the calculation time significantly. Numerical experiment shows that the time for the whole process with our method is almost the same as the data storage time.
The CT Laboratory, School of Mathematical Sciences, Capital Normal University, Beijing, China.
Yining
Y
Zhu
Yunsong
Y
Zhao
Xing
X
Zhao
D000465:Algorithms; D003196:Computer Graphics; D006257:Head / Q000000981:diagnostic imaging; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D008954:Models, Biological; D019047:Phantoms, Imaging; D014057:Tomography, X-Ray Computed / Q000379:methods*