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Motion-robust sub-millimeter isotropic diffusion imaging through motion corrected generalized slice dithered enhanced resolution (MC-gSlider) acquisition.
Wang, Fuyixue; Bilgic, Berkin; Dong, Zijing; Manhard, Mary Kate; Ohringer, Ned; Zhao, Bo; Haskell, Melissa; Cauley, Stephen F; Fan, Qiuyun; Witzel, Thomas; Adalsteinsson, Elfar; Wald, Lawrence L; Setsompop, Kawin.
Afiliación
  • Wang F; A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.
  • Bilgic B; Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts.
  • Dong Z; A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.
  • Manhard MK; Center for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, China.
  • Ohringer N; A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.
  • Zhao B; A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.
  • Haskell M; A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.
  • Cauley SF; A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.
  • Fan Q; Department of Biophysics, Harvard University, Cambridge, Massachusetts.
  • Witzel T; A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.
  • Adalsteinsson E; A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.
  • Wald LL; A.A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts.
  • Setsompop K; Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts.
Magn Reson Med ; 80(5): 1891-1906, 2018 11.
Article en En | MEDLINE | ID: mdl-29607548
ABSTRACT

PURPOSE:

To develop an efficient MR technique for ultra-high resolution diffusion MRI (dMRI) in the presence of motion.

METHODS:

gSlider is an SNR-efficient high-resolution dMRI acquisition technique. However, subject motion is inevitable during a prolonged scan for high spatial resolution, leading to potential image artifacts and blurring. In this study, an integrated technique termed Motion Corrected gSlider (MC-gSlider) is proposed to obtain high-quality, high-resolution dMRI in the presence of large in-plane and through-plane motion. A motion-aware reconstruction with spatially adaptive regularization is developed to optimize the conditioning of the image reconstruction under difficult through-plane motion cases. In addition, an approach for intra-volume motion estimation and correction is proposed to achieve motion correction at high temporal resolution.

RESULTS:

Theoretical SNR and resolution analysis validated the efficiency of MC-gSlider with regularization, and aided in selection of reconstruction parameters. Simulations and in vivo experiments further demonstrated the ability of MC-gSlider to mitigate motion artifacts and recover detailed brain structures for dMRI at 860 µm isotropic resolution in the presence of motion with various ranges.

CONCLUSION:

MC-gSlider provides motion-robust, high-resolution dMRI with a temporal motion correction sensitivity of 2 s, allowing for the recovery of fine detailed brain structures in the presence of large subject movements.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Imagen de Difusión por Resonancia Magnética Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Imagen de Difusión por Resonancia Magnética Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2018 Tipo del documento: Article
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