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Coil combination methods for multi-channel hyperpolarized 13C imaging data from human studies.
Zhu, Zihan; Zhu, Xucheng; Ohliger, Michael A; Tang, Shuyu; Cao, Peng; Carvajal, Lucas; Autry, Adam W; Li, Yan; Kurhanewicz, John; Chang, Susan; Aggarwal, Rahul; Munster, Pamela; Xu, Duan; Larson, Peder E Z; Vigneron, Daniel B; Gordon, Jeremy W.
Afiliación
  • Zhu Z; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, United States. Electronic address: zihan.zhu.zz@gmail.c
  • Zhu X; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, United States.
  • Ohliger MA; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
  • Tang S; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States; UC Berkeley-UCSF Graduate Program in Bioengineering, University of California, San Francisco and University of California, Berkeley, CA, United States.
  • Cao P; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
  • Carvajal L; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
  • Autry AW; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
  • Li Y; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
  • Kurhanewicz J; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
  • Chang S; Department of Medicine, University of California, San Francisco, CA, United States.
  • Aggarwal R; Department of Medicine, University of California, San Francisco, CA, United States.
  • Munster P; Department of Medicine, University of California, San Francisco, CA, United States.
  • Xu D; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
  • Larson PEZ; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
  • Vigneron DB; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
  • Gordon JW; Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, United States.
J Magn Reson ; 301: 73-79, 2019 04.
Article en En | MEDLINE | ID: mdl-30851668
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.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Imagen Molecular Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: J Magn Reson Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Imagen Molecular Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: J Magn Reson Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2019 Tipo del documento: Article