Conference proceeding
Parallelism of iterative CT algorithm based on local reconstruction
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.6318, pp.63181P-63181P-10
08/31/2006
DOI: 10.1117/12.681272
Abstract
An iterative algorithm is suited to reconstruct CT images from noisy or truncated projection data. However, as a disadvantage, the algorithm requires significant computational time. Although a parallel technique can be used to reduce the computational time, a large amount of communication overhead becomes an obstacle to its performance. To overcome this problem, we proposed an innovative parallel method based on the local iterative CT reconstruction algorithm. The object to be reconstructed is partitioned into a number of sub-regions and assigned to different processing elements (PEs). Within each PE, local iterative reconstruction is performed to recover the sub-region. Several numerical experiments were conducted on a high performance computing cluster. And the FORBILD head phantom was used as benchmark to measure the parallel performance. The experimental results showed that the proposed parallel algorithm significantly reduces the reconstruction time, hence achieving a high speedup and efficiency.
Details
- Title: Subtitle
- Parallelism of iterative CT algorithm based on local reconstruction
- Creators
- Junjun Deng - University of IowaHengyong Yu - University of IowaJun Ni - University of IowaLihe Wang - University of IowaGe Wang - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Vol.6318, pp.63181P-63181P-10
- Publisher
- SPIE
- DOI
- 10.1117/12.681272
- ISSN
- 1605-7422
- Language
- English
- Date published
- 08/31/2006
- Academic Unit
- Mathematics; Mechanical Engineering
- Record Identifier
- 9984240863502771
Metrics
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