Title :
A fast and efficient parallel implementation for 3D-CBCT image reconstruction
Author :
Mingjun, Li ; Dinghua, Zhang ; Kuidong, Huang ; Qingchao, Yu ; Kuyu, Wang
Author_Institution :
Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xian
Abstract :
In the framework of nondestructive testing and evaluation (NDT/NDE), this paper deals with the problem of improving the speed of image reconstruction in three-dimensional cone-beam computed tomography (3D-CBCT). Image reconstruction of 3D-CBCT using FDK algorithm requires huge computational resource, due to the voluminous data to handle, and the long processing times. Parallel implementation, on multi-core computer, seems to be a good approach to solve the problem. In this study, we introduce Z-line data first reconstruction algorithm, which is based on the FDK algorithm, and execute it with SIMD and multi-core technology. In order to assess the effectiveness of the proposed approach, an illustrative result from representative numerical test cases is presented and discussed.
Keywords :
computerised tomography; image reconstruction; nondestructive testing; parallel processing; 3D-CBCT image reconstruction; FDK algorithm; SIMD; Z-line data first reconstruction algorithm; multicore computer; nondestructive evaluation; nondestructive testing; parallel implementation; three-dimensional cone-beam computed tomography; Central Processing Unit; Computational complexity; Computed tomography; Concurrent computing; Detectors; Distributed computing; Image reconstruction; Nondestructive testing; Reconstruction algorithms; Space technology; 3D-CBCT; FDK; SIMD; Z-line data first; multi-core; parallel;
Conference_Titel :
Imaging Systems and Techniques, 2009. IST '09. IEEE International Workshop on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-3482-4
Electronic_ISBN :
978-1-4244-3483-1
DOI :
10.1109/IST.2009.5071612