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Coil combination methods for multi-channel hyperpolarized 13C imaging data from human studies.

ABSTRACT: Effective coil combination methods for human hyperpolarized 13C spectroscopy multi-channel data had been relatively unexplored. This study implemented and tested several coil combination methods, including (1) the sum-of-squares (SOS), (2) singular value decomposition (SVD), (3) Roemer method by using reference peak area as a sensitivity map (RefPeak), and (4) Roemer method by using ESPIRiT-derived sensitivity map (ESPIRiT). These methods were evaluated by numerical simulation, thermal phantom experiments, and human cancer patient studies. Overall, the SVD, RefPeak, and ESPIRiT methods demonstrated better accuracy and robustness than the SOS method. Extracting complex pyruvate signal provides an easy and excellent approximation of the coil sensitivity map while maintaining valuable phase information of the coil-combined data.

SUBMITTER: Zhu Z

PROVIDER: S-EPMC7170546 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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Coil combination methods for multi-channel hyperpolarized <sup>13</sup>C imaging data from human studies.

Zhu Zihan Z Zhu Xucheng X Ohliger Michael A MA Tang Shuyu S Cao Peng P Carvajal Lucas L Autry Adam W AW Li Yan Y Kurhanewicz John J Chang Susan S Aggarwal Rahul R Munster Pamela P Xu Duan D Larson Peder E Z PEZ Vigneron Daniel B DB Gordon Jeremy W JW

Journal of magnetic resonance (San Diego, Calif. : 1997) 20190201

Effective coil combination methods for human hyperpolarized <sup>13</sup>C spectroscopy multi-channel data had been relatively unexplored. This study implemented and tested several coil combination methods, including (1) the sum-of-squares (SOS), (2) singular value decomposition (SVD), (3) Roemer method by using reference peak area as a sensitivity map (RefPeak), and (4) Roemer method by using ESPIRiT-derived sensitivity map (ESPIRiT). These methods were evaluated by numerical simulation, therma ...[more]

PMID: 30851668

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Project description:PurposeCombining spectra from receive arrays, particularly X-nuclear spectra with low signal-to-noise ratios (SNRs), is challenging. We test whether data-driven combination methods are better than using computed coil sensitivities.TheorySeveral combination algorithms are recast into the notation of Roemer's classic formula, showing that they differ primarily in their estimation of coil receive sensitivities. This viewpoint reveals two extensions of the whitened singular-value decomposition (WSVD) algorithm, using temporal or temporal + spatial apodization to improve the coil sensitivities, and thus the combined spectral SNR.MethodsRadiofrequency fields from an array were simulated and used to make synthetic spectra. These were combined with 10 algorithms. The combined spectra were then assessed in terms of their SNR. Validation used phantoms and cardiac (31) P spectra from five subjects at 3T.ResultsCombined spectral SNRs from simulations, phantoms, and humans showed the same trends. In phantoms, the combined SNR using computed coil sensitivities was lower than with WSVD combination whenever the WSVD SNR was >14 (or >11 with temporal apodization, or >9 with temporal + spatial apodization). These new apodized WSVD methods gave higher SNRs than other data-driven methods.ConclusionIn the human torso, at frequencies ≥49 MHz, data-driven combination is preferable to using computed coil sensitivities. Magn Reson, 2015. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. Magn Reson Med 75:473-487, 2016. © 2015 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals, Inc. on behalf of International Society for Magnetic Resonance in Medicine.

Dataset Information

Coil combination methods for multi-channel hyperpolarized 13C imaging data from human studies.

Publications

Coil combination methods for multi-channel hyperpolarized <sup>13</sup>C imaging data from human studies.

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