DocumentCode :
3144496
Title :
Parallel no-waiting pipelining accelerating CT image reconstruction based on FPGA
Author :
Deng, Jingfei ; Bin Yan ; Li, Jianxin ; Li, Lei
Author_Institution :
China Nat. Digital Switching Syst. Eng. & Technol. Res. Center, Zhengzhou, China
Volume :
1
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
451
Lastpage :
455
Abstract :
On the research of applied three-dimensional computed tomography (CT) image reconstruction, the high-performance computing problem has always been one of the difficulties and hotspots. As a sort of hardware executed parallel in space domain and reconstructed in time domain, FPGA has developed rapidly in recent years. It has been widely used as high-performance parallel computing accelerating component. In this paper, the problem of accelerating the classical three-dimensional image reconstruction algorithm FDK with FPGA was studied. Then, the new accelerating method which was called parallel no-waiting pipelining was proposed. The experimental results showed that the method obtained a considerable speedup, and had the characteristics of resources optimization. The method may be taken as the useful reference for researchers working on FPGA applications and high-performance applications.
Keywords :
computerised tomography; field programmable gate arrays; image reconstruction; medical image processing; pipeline processing; FDK algorithm; FPGA; computed tomography; high-performance computing; high-performance parallel computing accelerating component; parallel no-waiting pipelining; three-dimensional image reconstruction; Acceleration; Computed tomography; Detectors; Field programmable gate arrays; Image reconstruction; Pipeline processing; Random access memory; CT; FPGA; image reconstruction; parallel computing; pipelining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
Type :
conf
DOI :
10.1109/BMEI.2010.5639643
Filename :
5639643
Link To Document :
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