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Accelerated cardiac perfusion imaging using k ‐ t SENSE with SENSE training
Author(s) -
Vitanis Viton,
Manka Robert,
Boesiger Peter,
Kozerke Sebastian
Publication year - 2009
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.22078
Subject(s) - aliasing , sense (electronics) , computer science , acceleration , noise (video) , signal (programming language) , sensitivity (control systems) , sampling (signal processing) , temporal resolution , fidelity , dynamic imaging , artificial intelligence , undersampling , computer vision , physics , image (mathematics) , image processing , optics , chemistry , electronic engineering , telecommunications , classical mechanics , filter (signal processing) , digital image processing , engineering , programming language
In k ‐ t sensitivity encoding (SENSE), MR data acquisition performed in parallel by multiple coils is accelerated by sparsely sampling the k ‐space over time. The resulting aliasing is resolved by exploiting spatiotemporal correlations inherent in dynamic images of natural objects. In this article, a modified k ‐ t SENSE reconstruction approach is presented, which aims at improving the temporal fidelity of first‐pass, contrast‐enhanced myocardial perfusion images at high accelerations. The proposed technique is based on applying parallel imaging on the training data in order to increase their spatial resolution. At a net acceleration of 5.8 ( k ‐ t factor = 8, training profiles = 11) accurate representations of dynamic signal‐intensities were achieved. The efficacy of this approach as well as limitations due to noise amplification were investigated in computer simulations and in vivo experiments. Magn Reson Med, 2009. © 2009 Wiley‐Liss, Inc.