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 T2 (*) 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 T2 (*) 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 T2 (*) 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.
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 T2 (*) 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 T2 (*) 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 T2 (*) 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.
Authors: Mariya Doneva; Peter Börnert; Holger Eggers; Christian Stehning; Julien Sénégas; Alfred Mertins Journal: Magn Reson Med Date: 2010-10 Impact factor: 4.668
Authors: Sankaran Subramanian; Nallathamby Devasahayam; Alan McMillan; Shingo Matsumoto; Jeeva P Munasinghe; Keita Saito; James B Mitchell; Gadisetti V R Chandramouli; Murali C Krishna Journal: J Magn Reson Date: 2011-11-28 Impact factor: 2.229
Authors: Ken-ichiro Matsumoto; Sankaran Subramanian; Nallathamby Devasahayam; Thirumaran Aravalluvan; Ramachandran Murugesan; John A Cook; James B Mitchell; Murali C Krishna Journal: Magn Reson Med Date: 2006-05 Impact factor: 4.668
Authors: Hyungseok Jang; Xing Lu; Michael Carl; Adam C Searleman; Saeed Jerban; Yajun Ma; Annette von Drygalski; Eric Y Chang; Jiang Du Journal: Magn Reson Med Date: 2018-10-16 Impact factor: 4.668