DTI‐MR fingerprinting for rapid high‐resolution whole‐brain T1, T2, proton density, ADC, and fractional anisotropy mapping

Author:

Cao Xiaozhi12ORCID,Liao Congyu12ORCID,Zhou Zihan1,Zhong Zheng1,Li Zhitao1ORCID,Dai Erpeng1ORCID,Iyer Siddharth Srinivasan13ORCID,Hannum Ariel J.14ORCID,Yurt Mahmut12,Schauman Sophie12ORCID,Chen Quan12,Wang Nan12,Wei Jintao5,Yan Yifan6,He Hongjian57ORCID,Skare Stefan8,Zhong Jianhui9,Kerr Adam2,Setsompop Kawin12

Affiliation:

1. Department of Radiology Stanford University Stanford California USA

2. Department of Electrical Engineering Stanford University Stanford California USA

3. Department of Electrical Engineering and Computer Science, MIT Cambridge Massachusetts USA

4. Department of Bioengineering Stanford University Stanford California USA

5. Center for Brain Imaging Science and Technology Zhejiang University Hangzhou China

6. School of Public Health and the Second Affiliated Hospital Zhejiang University School of Medicine Hangzhou China

7. School of Physics Zhejiang University Hangzhou China

8. Department of Clinical Neuroscience Karolinska Institute Stockholm Sweden

9. Department of Imaging Sciences University of Rochester Rochester New York USA

Abstract

AbstractPurposeThis study aims to develop a high‐efficiency and high‐resolution 3D imaging approach for simultaneous mapping of multiple key tissue parameters for routine brain imaging, including T1, T2, proton density (PD), ADC, and fractional anisotropy (FA). The proposed method is intended for pushing routine clinical brain imaging from weighted imaging to quantitative imaging and can also be particularly useful for diffusion‐relaxometry studies, which typically suffer from lengthy acquisition time.MethodsTo address challenges associated with diffusion weighting, such as shot‐to‐shot phase variation and low SNR, we integrated several innovative data acquisition and reconstruction techniques. Specifically, we used M1‐compensated diffusion gradients, cardiac gating, and navigators to mitigate phase variations caused by cardiac motion. We also introduced a data‐driven pre‐pulse gradient to cancel out eddy currents induced by diffusion gradients. Additionally, to enhance image quality within a limited acquisition time, we proposed a data‐sharing joint reconstruction approach coupled with a corresponding sequence design.ResultsThe phantom and in vivo studies indicated that the T1 and T2 values measured by the proposed method are consistent with a conventional MR fingerprinting sequence and the diffusion results (including diffusivity, ADC, and FA) are consistent with the spin‐echo EPI DWI sequence.ConclusionThe proposed method can achieve whole‐brain T1, T2, diffusivity, ADC, and FA maps at 1‐mm isotropic resolution within 10 min, providing a powerful tool for investigating the microstructural properties of brain tissue, with potential applications in clinical and research settings.

Funder

GE Healthcare

National Institutes of Health

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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