Model-based super-resolution reconstruction of T2 maps

Wajiha Bano, Gian Franco Piredda, Mike Davies, Ian Marshall, Mohammad Golbabaee, Reto Meuli, Tobias Kober, Jean-Philippe Thiran, Tom Hilbert

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)906-919
Number of pages14
JournalMagnetic Resonance in Medicine
Volume83
Issue number3
Early online date13 Sep 2019
DOIs
Publication statusE-pub ahead of print - 13 Sep 2019

Keywords

  • T mapping
  • model-based reconstruction
  • parallel Imaging
  • super-resolution

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Bano, W., Piredda, G. F., Davies, M., Marshall, I., Golbabaee, M., Meuli, R., ... Hilbert, T. (2020). Model-based super-resolution reconstruction of T2 maps. Magnetic Resonance in Medicine, 83(3), 906-919. https://doi.org/10.1002/mrm.27981

Model-based super-resolution reconstruction of T2 maps. / Bano, Wajiha; Piredda, Gian Franco; Davies, Mike; Marshall, Ian ; Golbabaee, Mohammad; Meuli, Reto; Kober, Tobias; Thiran, Jean-Philippe; Hilbert, Tom.

In: Magnetic Resonance in Medicine, Vol. 83, No. 3, 01.03.2020, p. 906-919.

Research output: Contribution to journalArticle

Bano, W, Piredda, GF, Davies, M, Marshall, I, Golbabaee, M, Meuli, R, Kober, T, Thiran, J-P & Hilbert, T 2020, 'Model-based super-resolution reconstruction of T2 maps', Magnetic Resonance in Medicine, vol. 83, no. 3, pp. 906-919. https://doi.org/10.1002/mrm.27981
Bano W, Piredda GF, Davies M, Marshall I, Golbabaee M, Meuli R et al. Model-based super-resolution reconstruction of T2 maps. Magnetic Resonance in Medicine. 2020 Mar 1;83(3):906-919. https://doi.org/10.1002/mrm.27981
Bano, Wajiha ; Piredda, Gian Franco ; Davies, Mike ; Marshall, Ian ; Golbabaee, Mohammad ; Meuli, Reto ; Kober, Tobias ; Thiran, Jean-Philippe ; Hilbert, Tom. / Model-based super-resolution reconstruction of T2 maps. In: Magnetic Resonance in Medicine. 2020 ; Vol. 83, No. 3. pp. 906-919.
@article{e0637c79d052408cb679d3a2e6712f04,
title = "Model-based super-resolution reconstruction of T2 maps",
abstract = "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.",
keywords = "T mapping, model-based reconstruction, parallel Imaging, super-resolution",
author = "Wajiha Bano and Piredda, {Gian Franco} and Mike Davies and Ian Marshall and Mohammad Golbabaee and Reto Meuli and Tobias Kober and Jean-Philippe Thiran and Tom Hilbert",
year = "2019",
month = "9",
day = "13",
doi = "10.1002/mrm.27981",
language = "English",
volume = "83",
pages = "906--919",
journal = "Magnetic Resonance in Medicine",
issn = "1522-2594",
publisher = "Wiley",
number = "3",

}

TY - JOUR

T1 - Model-based super-resolution reconstruction of T2 maps

AU - Bano, Wajiha

AU - Piredda, Gian Franco

AU - Davies, Mike

AU - Marshall, Ian

AU - Golbabaee, Mohammad

AU - Meuli, Reto

AU - Kober, Tobias

AU - Thiran, Jean-Philippe

AU - Hilbert, Tom

PY - 2019/9/13

Y1 - 2019/9/13

N2 - 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.

AB - 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.

KW - T mapping

KW - model-based reconstruction

KW - parallel Imaging

KW - super-resolution

UR - http://www.scopus.com/inward/record.url?scp=85073808134&partnerID=8YFLogxK

U2 - 10.1002/mrm.27981

DO - 10.1002/mrm.27981

M3 - Article

VL - 83

SP - 906

EP - 919

JO - Magnetic Resonance in Medicine

JF - Magnetic Resonance in Medicine

SN - 1522-2594

IS - 3

ER -