PURPOSE: To investigate auto- and pre-calibration coil profile estimation for parallel imaging reconstruction of hyperpolarized 13 C MRI volumetric data. METHODS: Parallel imaging reconstruction was studied with 3 different approaches for coil profile estimation: auto-calibration, phantom calibration, and theoretic calibration. Acquisition was performed with a 3D stack-of-spirals sequence with spectral-spatial excitation and Cartesian undersampling. Parallel imaging reconstructions were done with conjugate gradient SENSE and 3D gridding with inhomogeneity correction. The approaches were compared in simulations with different SNR, through phantom experiments, and in an in vivo pig study focused on the kidneys. All imaging was done with a rigid home-built 12-channel 13 C receive coil at 3T. RESULTS: The phantom calibrated and theoretic approaches resulted in the best structural similarities in simulations and demonstrated higher image quality in the phantom experiments compared to the auto-calibrated approach. In vivo mapping of pyruvate uptake and lactate conversion improved for accelerated acquisitions because of a better temporal resolution. From a practical and image quality point of view, use of theoretic coil profiles led to improved results compared to the other approaches. CONCLUSION: The success of the theoretic coil profile estimation demonstrates a negligible effect of load on sensitivity profiles at the carbon frequency at 3T. Through theoretic or phantom calibrated parallel imaging, accelerated 3D volumes could be reconstructed with sufficient sensitivity, temporal, and spatial resolution to map the metabolism of kidneys exemplifying abdominal organs. This approach overcomes a critical step in the clinical translation of parallel imaging in hyperpolarized 13 C MR.
PURPOSE: To investigate auto- and pre-calibration coil profile estimation for parallel imaging reconstruction of hyperpolarized 13 C MRI volumetric data. METHODS: Parallel imaging reconstruction was studied with 3 different approaches for coil profile estimation: auto-calibration, phantom calibration, and theoretic calibration. Acquisition was performed with a 3D stack-of-spirals sequence with spectral-spatial excitation and Cartesian undersampling. Parallel imaging reconstructions were done with conjugate gradient SENSE and 3D gridding with inhomogeneity correction. The approaches were compared in simulations with different SNR, through phantom experiments, and in an in vivo pig study focused on the kidneys. All imaging was done with a rigid home-built 12-channel 13 C receive coil at 3T. RESULTS: The phantom calibrated and theoretic approaches resulted in the best structural similarities in simulations and demonstrated higher image quality in the phantom experiments compared to the auto-calibrated approach. In vivo mapping of pyruvate uptake and lactate conversion improved for accelerated acquisitions because of a better temporal resolution. From a practical and image quality point of view, use of theoretic coil profiles led to improved results compared to the other approaches. CONCLUSION: The success of the theoretic coil profile estimation demonstrates a negligible effect of load on sensitivity profiles at the carbon frequency at 3T. Through theoretic or phantom calibrated parallel imaging, accelerated 3D volumes could be reconstructed with sufficient sensitivity, temporal, and spatial resolution to map the metabolism of kidneys exemplifying abdominal organs. This approach overcomes a critical step in the clinical translation of parallel imaging in hyperpolarized 13 C MR.
Authors: Jeremy W Gordon; Hsin-Yu Chen; Nicholas Dwork; Shuyu Tang; Peder E Z Larson Journal: J Magn Reson Imaging Date: 2020-02-10 Impact factor: 5.119
Authors: Nikolaj Bøgh; Jeremy W Gordon; Esben S S Hansen; Robert A Bok; Jakob U Blicher; Jasmine Y Hu; Peder E Z Larson; Daniel B Vigneron; Christoffer Laustsen Journal: Tomography Date: 2022-03-01
Authors: Juan D Sanchez-Heredia; Rie B Olin; James T Grist; Wenjun Wang; Nikolaj Bøgh; Vitaliy Zhurbenko; Esben S Hansen; Rolf F Schulte; Damian Tyler; Christoffer Laustsen; Jan H Ardenkjaer-Larsen Journal: Magn Reson Med Date: 2022-05-30 Impact factor: 3.737
Authors: Juan Diego Sánchez-Heredia; Rie B Olin; Mary A McLean; Christoffer Laustsen; Adam E Hansen; Lars G Hanson; Jan Henrik Ardenkjær-Larsen Journal: J Magn Reson Date: 2020-07-27 Impact factor: 2.229