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Proceedings Paper

Comparison of image reconstruction algorithms on parallel MRI
Author(s): Min Huang
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Paper Abstract

Parallel magnetic resonance imaging has emerged as an effective means to reduce scan time for high-speed MRI. We made comparison on four different image reconstruction algorithms of SMASH, GRAPPA, SENSE and PILS in the same imaging conditions including receiver coil array configuration, reduction factor and central lines. It is critical to simulate and test which parallel imaging method provides optimum performance before implementing them on the scanners. Results of reconstruction on raw data showed that SENSE and GRAPPA provide better image reconstruction. And GRAPPA is the best choice in the case of increase of the reduction factor. SENSE and PILS which have no matter with the central lines is the best choice in the case of decrease of the central lines. While PILS fails to reconstruct the image in the case of the increase of reduction factor equal to the number of coils. But the cost of reconstruction time based on SENSE algorithm is most efficient. Results in this paper can help us select the most optimal reconstruction algorithm on the same imaging parameters.

Paper Details

Date Published: 14 November 2007
PDF: 7 pages
Proc. SPIE 6789, MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques, 67891B (14 November 2007); doi: 10.1117/12.750965
Show Author Affiliations
Min Huang, South-Central Univ. for Nationalities (China)

Published in SPIE Proceedings Vol. 6789:
MIPPR 2007: Medical Imaging, Parallel Processing of Images, and Optimization Techniques
Jianguo Liu; Kunio Doi; Patrick S. P. Wang; Qiang Li, Editor(s)

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