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Optimized multi-axis spiral projection MR fingerprinting with subspace reconstruction for rapid whole-brain high-isotropic-resolution quantitative imaging.
Cao, Xiaozhi; Liao, Congyu; Iyer, Siddharth Srinivasan; Wang, Zhixing; Zhou, Zihan; Dai, Erpeng; Liberman, Gilad; Dong, Zijing; Gong, Ting; He, Hongjian; Zhong, Jianhui; Bilgic, Berkin; Setsompop, Kawin.
Afiliação
  • Cao X; Department of Radiology, Stanford University, Stanford, California, USA.
  • Liao C; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Iyer SS; Department of Radiology, Stanford University, Stanford, California, USA.
  • Wang Z; Department of Electrical Engineering, Stanford University, Stanford, California, USA.
  • Zhou Z; Department of Radiology, Stanford University, Stanford, California, USA.
  • Dai E; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
  • Liberman G; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
  • Dong Z; Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
  • Gong T; Center for Brain Imaging Science and Technology, College of Biomedical Engineering and Instrumental Science, Zhejiang University, Hangzhou, China.
  • He H; Department of Radiology, Stanford University, Stanford, California, USA.
  • Zhong J; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
  • Bilgic B; Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA.
  • Setsompop K; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Magn Reson Med ; 88(1): 133-150, 2022 07.
Article em En | MEDLINE | ID: mdl-35199877
ABSTRACT

PURPOSE:

To improve image quality and accelerate the acquisition of 3D MR fingerprinting (MRF).

METHODS:

Building on the multi-axis spiral-projection MRF technique, a subspace reconstruction with locally low-rank constraint and a modified spiral-projection spatiotemporal encoding scheme called tiny golden-angle shuffling were implemented for rapid whole-brain high-resolution quantitative mapping. Reconstruction parameters such as the locally low-rank regularization parameter and the subspace rank were tuned using retrospective in vivo data and simulated examinations. B0 inhomogeneity correction using multifrequency interpolation was incorporated into the subspace reconstruction to further improve the image quality by mitigating blurring caused by off-resonance effect.

RESULTS:

The proposed MRF acquisition and reconstruction framework yields high-quality 1-mm isotropic whole-brain quantitative maps in 2 min at better quality compared with 6-min acquisitions of prior approaches. The proposed method was validated to not induce bias in T1 and T2 mapping. High-quality whole-brain MRF data were also obtained at 0.66-mm isotropic resolution in 4 min using the proposed technique, where the increased resolution was shown to improve visualization of subtle brain structures.

CONCLUSIONS:

The proposed tiny golden-angle shuffling, MRF with optimized spiral-projection trajectory and subspace reconstruction enables high-resolution quantitative mapping in ultrafast acquisition time.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Processamento de Imagem Assistida por Computador Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos