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“PINOT”: Time‐resolved parallel magnetic resonance imaging with a reduced dynamic field of view
Author(s) -
Hamilton Lei Hou,
Fabregat Javier Acebron,
Moratal David,
Ramamurthy Senthil,
Lerakis Stamatios,
Parks W. James,
Sallee Denver,
Brummer Marijn E.
Publication year - 2011
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.22696
Subject(s) - computer science , magnetic resonance imaging , rotation formalisms in three dimensions , signal (programming language) , noise (video) , acceleration , signal to noise ratio (imaging) , algorithm , nuclear magnetic resonance , computer vision , artificial intelligence , physics , image (mathematics) , mathematics , radiology , medicine , telecommunications , geometry , classical mechanics , programming language
This article introduces a novel method named “Parallel Imaging and Noquist in Tandem” (PINOT) for accelerated image acquisition of cine cardiac magnetic resonance imaging. This method combines two prior information formalisms, the SPACE‐RIP implementation of parallel imaging and the Noquist method for reduced‐data image reconstruction with prior knowledge of static and dynamic regions in the field of view. The general theory is presented, and supported by results from experiments using time‐resolved two‐dimensional simulation data and retrospectively sub‐sampled magnetic resonance imaging data with acceleration factors around 4. A signal‐to‐noise ratio analysis and a comparison study with TSENSE and k ‐ t SENSE show that PINOT performs favorably in preserving edge detail, at a cost in signal‐to‐noise ratio and computational complexity. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc.