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Ultrafast high-resolution multi-parametric brain MRI using 3D Echo Planar Time-resolved Imaging

View ORCID ProfileFuyixue Wang, View ORCID ProfileZijing Dong, Timothy G. Reese, Bruce Rosen, Lawrence L. Wald, Kawin Setsompop
doi: https://doi.org/10.1101/2021.05.06.443040
Fuyixue Wang
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
2Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA
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  • ORCID record for Fuyixue Wang
  • For correspondence: fwang18@mgh.harvard.edu
Zijing Dong
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
3Department of Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA
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Timothy G. Reese
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
4Department of Radiology, Harvard Medical School, USA
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Bruce Rosen
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
2Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA
4Department of Radiology, Harvard Medical School, USA
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Lawrence L. Wald
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
2Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA
4Department of Radiology, Harvard Medical School, USA
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Kawin Setsompop
1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA
2Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA
4Department of Radiology, Harvard Medical School, USA
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Abstract

Multi-parametric quantitative MRI has shown great potential to improve the sensitivity and specificity of clinical diagnosis, but suffers from impractical scan time especially at high spatial resolution, a major limiting factor that prevents it from common use. To address this long-standing challenge, we introduce a novel approach, termed 3D Echo Planar Time-resolved Imaging (3D-EPTI), which significantly increases the acceleration capacity of MRI sampling, and provides unprecedented acquisition efficiency for multi-parametric MRI. The high acceleration capability in 3D-EPTI is achieved by exploiting the spatiotemporal correlation of MRI data at multiple timescales through new encoding strategies within and between its efficient continuous data readouts. This has enabled robust and repeatable whole-brain multi-parametric mapping at high isotropic resolution within minutes. 3D-EPTI may greatly facilitate the clinical adoption of quantitative MRI and push towards the next-generation of brain examination with high efficacy and accuracy for improved diagnosis and longitudinal monitoring. Moreover, 3D-EPTI also offers a powerful tool for fast and repeatable submillimeter multi-parametric imaging that can be used to study detailed brain intra-cortical architectures for neuroscientific research.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 07, 2021.
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Ultrafast high-resolution multi-parametric brain MRI using 3D Echo Planar Time-resolved Imaging
Fuyixue Wang, Zijing Dong, Timothy G. Reese, Bruce Rosen, Lawrence L. Wald, Kawin Setsompop
bioRxiv 2021.05.06.443040; doi: https://doi.org/10.1101/2021.05.06.443040
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Ultrafast high-resolution multi-parametric brain MRI using 3D Echo Planar Time-resolved Imaging
Fuyixue Wang, Zijing Dong, Timothy G. Reese, Bruce Rosen, Lawrence L. Wald, Kawin Setsompop
bioRxiv 2021.05.06.443040; doi: https://doi.org/10.1101/2021.05.06.443040

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