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Tensor image enhancement and optimal multichannel receiver combination analyses for human hyperpolarized 13 C MRSI
Author(s) -
Chen HsinYu,
Autry Adam W.,
Brender Jeffrey R.,
Kishimoto Shun,
Krishna Murali C.,
Vareth Maryam,
Bok Robert A.,
Reed Galen D.,
Carvajal Lucas,
Gordon Jeremy W.,
Criekinge Mark,
Korenchan David E.,
Chen Albert P.,
Xu Duan,
Li Yan,
Chang Susan M.,
Kurhanewicz John,
Larson Peder E. Z.,
Vigneron Daniel B.
Publication year - 2020
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.28328
Subject(s) - magnetic resonance spectroscopic imaging , singular value decomposition , nuclear medicine , computer science , receiver operating characteristic , signal to noise ratio (imaging) , nuclear magnetic resonance , chemistry , medicine , magnetic resonance imaging , algorithm , physics , radiology , telecommunications , machine learning
Purpose With the initiation of human hyperpolarized 13 C (HP‐ 13 C) trials at multiple sites and the development of improved acquisition methods, there is an imminent need to maximally extract diagnostic information to facilitate clinical interpretation. This study aims to improve human HP‐ 13 C MR spectroscopic imaging through means of Tensor Rank truncation‐Image enhancement (TRI) and optimal receiver combination (ORC). Methods A data‐driven processing framework for dynamic HP 13 C MR spectroscopic imaging (MRSI) was developed. Using patient data sets acquired with both multichannel arrays and single‐element receivers from the brain, abdomen, and pelvis, we examined the theory and application of TRI, as well as 2 ORC techniques: whitened singular value decomposition (WSVD) and first‐point phasing. Optimal conditions for TRI were derived based on bias‐variance trade‐off. Results TRI and ORC techniques together provided a 63‐fold mean apparent signal‐to‐noise ratio (aSNR) gain for receiver arrays and a 31‐fold gain for single‐element configurations, which particularly improved quantification of the lower‐SNR‐[ 13 C]bicarbonate and [1‐ 13 C]alanine signals that were otherwise not detectable in many cases. Substantial SNR enhancements were observed for data sets that were acquired even with suboptimal experimental conditions, including delayed (114 s) injection (8× aSNR gain solely by TRI), or from challenging anatomy or geometry, as in the case of a pediatric patient with brainstem tumor (597× using combined TRI and WSVD). Improved correlation between elevated pyruvate‐to‐lactate conversion, biopsy‐confirmed cancer, and mp‐MRI lesions demonstrated that TRI recovered quantitative diagnostic information. Conclusion Overall, this combined approach was effective across imaging targets and receiver configurations and could greatly benefit ongoing and future HP 13 C MRI research through major aSNR improvements.