Fast model-based T<sub>2</sub> mapping using SAR-reduced simultaneous multislice excitation.
Détails
ID Serval
serval:BIB_D8A7BCA5FC73
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Fast model-based T<sub>2</sub> mapping using SAR-reduced simultaneous multislice excitation.
Périodique
Magnetic resonance in medicine
ISSN
1522-2594 (Electronic)
ISSN-L
0740-3194
Statut éditorial
Publié
Date de publication
12/2019
Peer-reviewed
Oui
Volume
82
Numéro
6
Pages
2090-2103
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Publication Status: ppublish
Résumé
To obtain whole-brain high-resolution T <sub>2</sub> maps in 2 minutes by combining simultaneous multislice excitation and low-power PINS (power independent of number of slices) refocusing pulses with undersampling and a model-based reconstruction.
A multi-echo spin-echo sequence was modified to acquire multiple slices simultaneously, ensuring low specific absorption rate requirements. In addition, the acquisition was undersampled to achieve further acceleration. Data were reconstructed by subsequently applying parallel imaging to separate signals from different slices, and a model-based reconstruction to estimate quantitative T <sub>2</sub> from the undersampled data. The signal model used is based on extended phase graph simulations that also account for nonideal slice profiles and B <sub>1</sub> inhomogeneity. In vivo experiments with 3 healthy subjects were performed to compare accelerated T <sub>2</sub> maps to fully sampled single-slice acquisitions. The accuracy of the T <sub>2</sub> values was assessed with phantom experiments by comparing the T <sub>2</sub> values to single-echo spin-echo measurements.
In vivo results showed that conventional multi-echo spin-echo, simultaneous multislice, and undersampling result in similar mean T <sub>2</sub> values within regions of interest. However, combining simultaneous multislice and undersampling results in higher SDs (about 7 ms) in comparison to a conventional sequence (about 3 ms). The T <sub>2</sub> values were reproducible between scan and rescan (SD < 1.2 ms) within subjects and were in similar ranges across subjects (SD < 4.5 ms).
The proposed method is a fast T <sub>2</sub> mapping technique that enables whole-brain acquisitions at 0.7-mm in-plane resolution, 3-mm slice thickness, and low specific absorption rate in 2 minutes.
A multi-echo spin-echo sequence was modified to acquire multiple slices simultaneously, ensuring low specific absorption rate requirements. In addition, the acquisition was undersampled to achieve further acceleration. Data were reconstructed by subsequently applying parallel imaging to separate signals from different slices, and a model-based reconstruction to estimate quantitative T <sub>2</sub> from the undersampled data. The signal model used is based on extended phase graph simulations that also account for nonideal slice profiles and B <sub>1</sub> inhomogeneity. In vivo experiments with 3 healthy subjects were performed to compare accelerated T <sub>2</sub> maps to fully sampled single-slice acquisitions. The accuracy of the T <sub>2</sub> values was assessed with phantom experiments by comparing the T <sub>2</sub> values to single-echo spin-echo measurements.
In vivo results showed that conventional multi-echo spin-echo, simultaneous multislice, and undersampling result in similar mean T <sub>2</sub> values within regions of interest. However, combining simultaneous multislice and undersampling results in higher SDs (about 7 ms) in comparison to a conventional sequence (about 3 ms). The T <sub>2</sub> values were reproducible between scan and rescan (SD < 1.2 ms) within subjects and were in similar ranges across subjects (SD < 4.5 ms).
The proposed method is a fast T <sub>2</sub> mapping technique that enables whole-brain acquisitions at 0.7-mm in-plane resolution, 3-mm slice thickness, and low specific absorption rate in 2 minutes.
Mots-clé
T2 mapping, model-based reconstruction, simultaneous multislice
Pubmed
Web of science
Création de la notice
21/07/2019 16:08
Dernière modification de la notice
23/10/2019 5:13