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Inherently self‐calibrating non‐cartesian parallel imaging
Author(s) -
Yeh Ernest N.,
Stuber Matthias,
McKenzie Charles A.,
Botnar Rene M.,
Leiner Tim,
Ohliger Michael A.,
Grant Aaron K.,
WilligOnwuachi Jacob D.,
Sodickson Daniel K.
Publication year - 2005
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.20517
Subject(s) - cartesian coordinate system , calibration , sensitivity (control systems) , spiral (railway) , computer science , electromagnetic coil , computer vision , artificial intelligence , physics , mathematics , geometry , electronic engineering , mathematical analysis , quantum mechanics , engineering
The use of self‐calibrating techniques in parallel magnetic resonance imaging eliminates the need for coil sensitivity calibration scans and avoids potential mismatches between calibration scans and subsequent accelerated acquisitions (e.g., as a result of patient motion). Most examples of self‐calibrating Cartesian parallel imaging techniques have required the use of modified k ‐space trajectories that are densely sampled at the center and more sparsely sampled in the periphery. However, spiral and radial trajectories offer inherent self‐calibrating characteristics because of their densely sampled center. At no additional cost in acquisition time and with no modification in scanning protocols, in vivo coil sensitivity maps may be extracted from the densely sampled central region of k ‐space. This work demonstrates the feasibility of self‐calibrated spiral and radial parallel imaging using a previously described iterative non‐Cartesian sensitivity encoding algorithm. Magn Reson Med 54:1–8, 2005. © 2005 Wiley‐Liss, Inc.