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Reduction of reconstruction time for time‐resolved spiral 3D contrast‐enhanced magnetic resonance angiography using parallel computing
Author(s) -
Kressler Bryan,
Spincemaille Pascal,
Prince Martin R.,
Wang Yi
Publication year - 2006
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.21004
Subject(s) - spiral (railway) , computer science , temporal resolution , reduction (mathematics) , sampling (signal processing) , contrast (vision) , iterative reconstruction , 3d reconstruction , image resolution , magnetic resonance angiography , magnetic resonance imaging , artificial intelligence , computer vision , optics , physics , mathematics , radiology , medicine , mathematical analysis , geometry , filter (signal processing)
Time‐resolved 3D MRI with high spatial and temporal resolution can be achieved using spiral sampling and sliding‐window reconstruction. Image reconstruction is computationally intensive because of the need for data regridding, a large number of temporal phases, and multiple RF receiver coils. Inhomogeneity blurring correction for spiral sampling further increases the computational work load by an order of magnitude, hindering the clinical utility of spiral trajectories. In this work the reconstruction time is reduced by a factor of >40 compared to reconstruction using a single processor. This is achieved by using a cluster of 32 commercial off‐the‐shelf computers, commodity networking hardware, and readily available software. The reconstruction system is demonstrated for time‐resolved spiral contrast‐enhanced (CE) peripheral MR angiography (MRA), and a reduction of reconstruction time from 80 min to 1.8 min is achieved. Magn Reson Med, 2006. © 2006 Wiley‐Liss, Inc.