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research article

Model-based super-resolution reconstruction of T-2 maps

Bano, Wajiha
•
Piredda, Gian Franco
•
Davies, Mike
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2020
Magnetic Resonance in Medicine

Purpose High-resolution isotropic T-2 mapping of the human brain with multi-echo spin-echo (MESE) acquisitions is challenging. When using a 2D sequence, the resolution is limited by the slice thickness. If used as a 3D acquisition, specific absorption rate limits are easily exceeded due to the high power deposition of nonselective refocusing pulses. A method to reconstruct 1-mm(3) isotropic T-2 maps is proposed based on multiple 2D MESE acquisitions. Data were undersampled (10-fold) to compensate for the prolonged scan time stemming from the super-resolution acquisition. Theory and Methods The proposed method integrates a classical super-resolution with an iterative model-based approach to reconstruct quantitative maps from a set of undersampled low-resolution data. The method was tested on numerical and multipurpose phantoms, and in vivo data. T-2 values were assessed with a region-of-interest analysis using a single-slice spin-echo and a fully sampled MESE acquisition in a phantom, and a MESE acquisition in healthy volunteers. Results Numerical simulations showed that the best trade-off between acceleration and number of low-resolution datasets is 10-fold acceleration with 4 acquisitions (acquisition time = 18 min). The proposed approach showed improved resolution over low-resolution images for both phantom and brain. Region-of-interest analysis of the phantom compartments revealed that at shorter T-2, the proposed method was comparable with the fully sampled MESE. For the volunteer data, the T-2 values found in the brain structures were consistent across subjects (8.5-13.1 ms standard deviation). Conclusion The proposed method addresses the inherent limitations associated with high-resolution T-2 mapping and enables the reconstruction of 1 mm(3) isotropic relaxation maps with a 10 times faster acquisition.

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Type
research article
DOI
10.1002/mrm.27981
Web of Science ID

WOS:000486335000001

Author(s)
Bano, Wajiha
Piredda, Gian Franco
Davies, Mike
Marshall, Ian
Golbabaee, Mohammad
Meuli, Reto
Kober, Tobias
Thiran, Jean-Philippe  
Hilbert, Tom  
Date Issued

2020

Publisher

Wiley

Published in
Magnetic Resonance in Medicine
Volume

83

Issue

3

Start page

906

End page

919

Subjects

Radiology, Nuclear Medicine & Medical Imaging

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model-based reconstruction

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parallel imaging

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super-resolution

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t-2 mapping

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diffusion-weighted images

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mri

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resolution

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motion

Note

This is an open access article under the terms of the Creative Commons Attribution License

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LTS5  
Available on Infoscience
September 29, 2019
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/161669
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