Literature DB >> 20622984

Parallelism of iterative CT reconstruction based on local reconstruction algorithm.

Junjun Deng1, Hengyong Yu, Jun Ni, Lihe Wang, Ge Wang.   

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 (Li et al. in J. X-Ray Sci. Technol. 13:1-10, 2005). To overcome this problem, we proposed an innovative parallel method based on the local iterative CT reconstruction algorithm (Wang et al. in Scanning 18:582-588, 1996 and IEEE Trans. Med. Imaging 15(5):657-664, 1996). The object to be reconstructed is partitioned into a number of subregions and assigned to different processing elements (PEs). Within each PE, local iterative reconstruction is performed to recover the subregion. Several numerical experiments were conducted on a high performance computing cluster. And the FORBILD head phantom (Lauritsch and Bruder http://www.imp.uni-erlangen.de/phantoms/head/head.html) 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.

Entities:  

Year:  2009        PMID: 20622984      PMCID: PMC2901129          DOI: 10.1007/s11227-008-0198-9

Source DB:  PubMed          Journal:  J Supercomput        ISSN: 0920-8542            Impact factor:   2.474


  10 in total

1.  Accelerated iterative transmission CT reconstruction using an ordered subsets convex algorithm.

Authors:  C Kamphuis; F J Beekman
Journal:  IEEE Trans Med Imaging       Date:  1998-12       Impact factor: 10.048

2.  Evaluation of the ordered subset convex algorithm for cone-beam CT.

Authors:  J S Kole; F J Beekman
Journal:  Phys Med Biol       Date:  2005-02-21       Impact factor: 3.609

3.  Iterative deblurring for CT metal artifact reduction.

Authors:  G Wang; D L Snyder; J A O'Sullivan; M W Vannier
Journal:  IEEE Trans Med Imaging       Date:  1996       Impact factor: 10.048

4.  3-D maximum a posteriori estimation for single photon emission computed tomography on massively-parallel computers.

Authors:  M I Miller; C S Butler
Journal:  IEEE Trans Med Imaging       Date:  1993       Impact factor: 10.048

5.  Accelerated image reconstruction using ordered subsets of projection data.

Authors:  H M Hudson; R S Larkin
Journal:  IEEE Trans Med Imaging       Date:  1994       Impact factor: 10.048

6.  Maximum likelihood reconstruction for emission tomography.

Authors:  L A Shepp; Y Vardi
Journal:  IEEE Trans Med Imaging       Date:  1982       Impact factor: 10.048

7.  Algebraic reconstruction in CT from limited views.

Authors:  A H Andersen
Journal:  IEEE Trans Med Imaging       Date:  1989       Impact factor: 10.048

8.  Local computed tomography via iterative deblurring.

Authors:  G Wang; D L Snyder; M W Vannier
Journal:  Scanning       Date:  1996-11       Impact factor: 1.932

9.  Simultaneous algebraic reconstruction technique (SART): a superior implementation of the art algorithm.

Authors:  A H Andersen; A C Kak
Journal:  Ultrason Imaging       Date:  1984-01       Impact factor: 1.578

10.  EM reconstruction algorithms for emission and transmission tomography.

Authors:  K Lange; R Carson
Journal:  J Comput Assist Tomogr       Date:  1984-04       Impact factor: 1.826

  10 in total

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