Simultaneous perfusion, diffusion, T2*, and T1 mapping with MR fingerprinting

Author:

Fan Hongli12,Bunker Lisa3,Wang Zihan12,Durfee Alexandra Zezinka3,Lin Doris2,Yedavalli Vivek2,Ge Yulin4,Zhou Xiaohong Joe5ORCID,Hillis Argye E.3,Lu Hanzhang126ORCID

Affiliation:

1. Department of Biomedical Engineering Johns Hopkins University School of Medicine Baltimore Maryland USA

2. The Russell H. Morgan Department of Radiology and Radiological Science Johns Hopkins University School of Medicine Baltimore Maryland USA

3. Department of Neurology Johns Hopkins University School of Medicine Baltimore Maryland USA

4. Department of Radiology New York University Grossman School of Medicine New York New York USA

5. Department of Radiology, Center for Magnetic Resonance Research University of Illinois at Chicago Chicago Illinois USA

6. F. M. Kirby Research Center for Functional Brain Imaging Kennedy Krieger Institute Baltimore Maryland USA

Abstract

AbstractPurposeQuantitative mapping of brain perfusion, diffusion, T2*, and T1 has important applications in cerebrovascular diseases. At present, these sequences are performed separately. This study aims to develop a novel MRI technique to simultaneously estimate these parameters.MethodsThis sequence to measure perfusion, diffusion, T2*, and T1 mapping with magnetic resonance fingerprinting (MRF) was based on a previously reported MRF‐arterial spin labeling (ASL) sequence, but the acquisition module was modified to include different TEs and presence/absence of bipolar diffusion‐weighting gradients. We compared parameters derived from the proposed method to those derived from reference methods (i.e., separate sequences of MRF‐ASL, conventional spin‐echo DWI, and T2* mapping). Test–retest repeatability and initial clinical application in two patients with stroke were evaluated.ResultsThe scan time of our proposed method was 24% shorter than the sum of the reference methods. Parametric maps obtained from the proposed method revealed excellent image quality. Their quantitative values were strongly correlated with those from reference methods and were generally in agreement with values reported in the literature. Repeatability assessment revealed that ADC, T2*, T1, and B1+ estimation was highly reliable, with voxelwise coefficient of variation (CoV) <5%. The CoV for arterial transit time and cerebral blood flow was 16% ± 3% and 25% ± 9%, respectively. The results from the two patients with stroke demonstrated that parametric maps derived from the proposed method can detect both ischemic and hemorrhagic stroke.ConclusionThe proposed method is a promising technique for multi‐parametric mapping and has potential use in patients with stroke.

Funder

National Institutes of Health

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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