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Accelerated 4D quantitative single point EPR imaging using model‐based reconstruction
Author(s) -
Jang Hyungseok,
Matsumoto Shingo,
Devasahayam Nallathamby,
Subramanian Sankaran,
Zhuo Jiachen,
Krishna Murali C.,
McMillan Alan B.
Publication year - 2015
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.25282
Subject(s) - extrapolation , magnetic resonance imaging , nuclear magnetic resonance , imaging phantom , k space , electron paramagnetic resonance , computer science , temporal resolution , image resolution , acceleration , iterative reconstruction , physics , biomedical engineering , nuclear medicine , algorithm , computational physics , artificial intelligence , optics , mathematics , radiology , medicine , statistics , classical mechanics
Purpose Electron paramagnetic resonance imaging has surfaced as a promising noninvasive imaging modality that is capable of imaging tissue oxygenation. Due to extremely short spin‐spin relaxation times, electron paramagnetic resonance imaging benefits from single‐point imaging and inherently suffers from limited spatial and temporal resolution, preventing localization of small hypoxic tissues and differentiation of hypoxia dynamics, making accelerated imaging a crucial issue. Methods In this study, methods for accelerated single‐point imaging were developed by combining a bilateral k‐space extrapolation technique with model‐based reconstruction that benefits from dense sampling in the parameter domain (measurement of the T 2 * decay of a free induction delay). In bilateral kspace extrapolation, more k‐space samples are obtained in a sparsely sampled region by bilaterally extrapolating data from temporally neighboring k‐spaces. To improve the accuracy of T 2 * estimation, a principal component analysis‐based method was implemented. Results In a computer simulation and a phantom experiment, the proposed methods showed its capability for reliable T 2 * estimation with high acceleration (8‐fold, 15‐fold, and 30‐fold accelerations for 61×61×61, 95×95×95, and 127×127×127 matrix, respectively). Conclusion By applying bilateral k‐space extrapolation and model‐based reconstruction, improved scan times with higher spatial resolution can be achieved in the current single‐point electron paramagnetic resonance imaging modality. Magn Reson Med 73:1692–1701, 2015. © 2014 Wiley Periodicals, Inc.