DocumentCode :
2559800
Title :
Development of GPU based image reconstruction method for clinical SPECT
Author :
Hui Liu ; Tianyu Ma ; Si Chen ; Yaqiang Liu ; Shi Wang ; Yongjie Jin
Author_Institution :
Dept. of Eng. Phys., Tsinghua Univ., Beijing, China
fYear :
2012
fDate :
Oct. 27 2012-Nov. 3 2012
Firstpage :
3415
Lastpage :
3418
Abstract :
The aim of this work is to develop, validate and preliminarily evaluate two graphic processing units (GPU) implementations of the OS-EM iterative image reconstruction algorithms for a clinical SPECT system. The Monte Carlo software SIMSET was used to simulate the data acquisition of a typical SPECT camera with a parallel-hole collimator for the Shepp-Logan phantom. CUDA was adopted for the GPU programming of the OS-EM algorithm with high complexity. For the first implementation, the system matrix used for reconstruction was pre-computed by Monte Carlo simulation. A major task in the GPU programming in this case was to efficiently access every element of the pre-stored system matrix and compute the projection and back-projection for each image update. In the second implementation, the system matrix was calculated on-the-fly. A rotation-based projector and backprojector was employed, which reduced the complexity for the GPU programming and can achieve higher efficiency theoretically than other methods of computing projector and back-projectors. We modeled the depth-dependent collimator detector response in the matrix computation. The results showed that, for both GPU implementations, there are seldom differences of images reconstructed by the GPU and CPU implementation of the OS-EM algorithm. In the first matrix computation strategy, an acceleration ratio of 31.9 was achieved by using the GPU implementation compared with the CPU implementation of the same algorithm. In the second strategy, the acceleration ratio was 33.9. The images reconstructed with the first strategy demonstrated higher quantitative accuracy due to the more accurate modeling of the system matrix. But the corresponding reconstructed time was more than the second strategy . We also applied the second GPU implementation of the OS-EM method to clinical SPECT patient cardiac data and achieved the reconstruction of a 64×64×64 image within 8 seconds. Compared with the FBP reconstruction i- age, the OS-EM reconstruction image had a better performance. In conclusion, GPU implementation of the OS-EM algorithm has a great potential in SPECT image reconstruction.
Keywords :
Monte Carlo methods; biomedical equipment; cameras; cardiology; collimators; data acquisition; expectation-maximisation algorithm; graphics processing units; image reconstruction; medical image processing; parallel architectures; phantoms; single photon emission computed tomography; CPU; CUDA; GPU based image reconstruction method; GPU programming; Monte Carlo simulation; Monte Carlo software SIMSET; OS-EM iterative image reconstruction algorithms; SPECT camera; SPECT image reconstruction; Shepp-Logan phantom; acceleration ratio; back-projector; clinical SPECT patient cardiac data; clinical SPECT system; data acquisition; depth-dependent collimator detector response; graphic processing units; matrix computation; parallel-hole collimator; rotation-based projector; system matrix;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2012 IEEE
Conference_Location :
Anaheim, CA
ISSN :
1082-3654
Print_ISBN :
978-1-4673-2028-3
Type :
conf
DOI :
10.1109/NSSMIC.2012.6551778
Filename :
6551778
Link To Document :
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