Abstract
Keywords:
Image Reconstruction, Quantitative Susceptibility mapping, EPI, distortion correction
Motivation:
MR susceptibility mapping serves as a highly valuable tool in various neuroscientific and clinical applications.
Goal(s):
This innovative approach is designed to facilitate fast and robust high-resolution whole-brain imaging and quantitative susceptibility mapping (QSM).
Approach:
In this study, our primary objective was to create a distortion-free 3D-EPI with blip-up/down acquisition (BUDA), incorporating controlled aliasing in parallel imaging (CAIPI) sampling, and applyingartificial sparsity enhanced deep learning image reconstruction.
Results:
Our developed technique holds the potential to produce distortion-free high-resolution whole-brain quantitative susceptibility mapping in just 12s at 3T and 9s at 7T, achieving an impressive resolutionof 1 mm isotropic.
Impact:
The proposed 3D-BUDA, incorporating a 2D CAIPIRINHA acquisition sequence with artificial sparsity-enhanced self-supervised deep learning reconstruction, demonstrated its ability to deliver rapid,distortion-free, high-resolution, whole-brain T2*-weighted imaging and QSM.
Image Reconstruction, Quantitative Susceptibility mapping, EPI, distortion correction
Motivation:
MR susceptibility mapping serves as a highly valuable tool in various neuroscientific and clinical applications.
Goal(s):
This innovative approach is designed to facilitate fast and robust high-resolution whole-brain imaging and quantitative susceptibility mapping (QSM).
Approach:
In this study, our primary objective was to create a distortion-free 3D-EPI with blip-up/down acquisition (BUDA), incorporating controlled aliasing in parallel imaging (CAIPI) sampling, and applyingartificial sparsity enhanced deep learning image reconstruction.
Results:
Our developed technique holds the potential to produce distortion-free high-resolution whole-brain quantitative susceptibility mapping in just 12s at 3T and 9s at 7T, achieving an impressive resolutionof 1 mm isotropic.
Impact:
The proposed 3D-BUDA, incorporating a 2D CAIPIRINHA acquisition sequence with artificial sparsity-enhanced self-supervised deep learning reconstruction, demonstrated its ability to deliver rapid,distortion-free, high-resolution, whole-brain T2*-weighted imaging and QSM.
Original language | English |
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Pages | 2 |
Publication status | Published - 2024 |
Event | International Society for Magnetic Resonance in Medicine (ISMRM) & The International Society for MR Radiographers & Technologists (ISMRT) Annual Meeting & Exhibition 2024 - Suntec Singapore Convention & Exhibition Centre, Singapore Duration: 4 May 2024 → 9 May 2024 https://www.ismrm.org/24m/ (Website) |
Exhibition
Exhibition | International Society for Magnetic Resonance in Medicine (ISMRM) & The International Society for MR Radiographers & Technologists (ISMRT) Annual Meeting & Exhibition 2024 |
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Abbreviated title | ISMRM & ISMRT 2024 |
Country/Territory | Singapore |
Period | 4/05/24 → 9/05/24 |
Internet address |
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