Journal article
A 4-minute solution for submillimeter whole-brain T 1ρ quantification
Magnetic resonance in medicine, Vol.85(6), pp.3299-3307
06/2021
DOI: 10.1002/mrm.28656
PMID: 33421224
Abstract
To develop a robust, accurate, and accelerated T
quantification solution for submillimeter in vivo whole-brain imaging.
A multislice T
mapping solution (MS-T
) was developed based on a two-acquisition scheme using turbo spin echo with RF cycling to allow for whole-brain coverage with 0.8-mm in-plane resolution. A compressed sensing-based fast imaging method, SCOPE, was used to accelerate the MS-T
acquisition time to a total scan time of 3 minutes 31 seconds. A phantom experiment was conducted to assess the accuracy of MS-T
by comparing the T
value obtained using MS-T
with the reference value obtained using the standard single-slice T
mapping method. In vivo scans of 13 volunteers were acquired prospectively to validate the robustness of MS-T
.
In the phantom study, the T
values obtained with MS-T
were in good agreement with the reference T
values (R
= 0.9991) and showed high consistency throughout all slices (coefficient of variation = 2.2 ± 2.43%). In the in vivo experiments, T
maps were successfully acquired for all volunteers with no visually noticeable artifacts. There was no significant difference in T
values between MS-T
acquisitions and fully sampled acquisitions for all brain tissues (p-value > .05). In the intraclass correlation coefficient and Bland-Altman analyses, the accelerated T
measurements show moderate to good agreement to the fully sampled reference values.
The proposed MS-T
solution allows for high-resolution whole-brain T
mapping within 4 minutes and may provide a potential tool for investigating neural diseases.
Details
- Title: Subtitle
- A 4-minute solution for submillimeter whole-brain T 1ρ quantification
- Creators
- Yanjie Zhu - Shenzhen Institutes of Advanced TechnologyYuanyuan Liu - Shenzhen Institutes of Advanced TechnologyLeslie Ying - State University of New YorkZhilang Qiu - Shenzhen Institutes of Advanced TechnologyQiegen Liu - Nanchang UniversitySen Jia - Shenzhen Institutes of Advanced TechnologyHaifeng Wang - Shenzhen Institutes of Advanced TechnologyXi Peng - Mayo ClinicXin Liu - Shenzhen Institutes of Advanced TechnologyHairong Zheng - Shenzhen Institutes of Advanced TechnologyDong Liang - Shenzhen Institutes of Advanced Technology
- Resource Type
- Journal article
- Publication Details
- Magnetic resonance in medicine, Vol.85(6), pp.3299-3307
- DOI
- 10.1002/mrm.28656
- PMID
- 33421224
- ISSN
- 0740-3194
- eISSN
- 1522-2594
- Grant note
- DOI: 10.13039/501100001809, name: National Natural Science Foundation of China, award: 61771463, 81830056, 81971611, 61671441, 61871373, U1805261
- Language
- English
- Date published
- 06/2021
- Academic Unit
- Radiology
- Record Identifier
- 9984446266902771
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