Multi‐spin echo T2 relaxation imaging with compressed sensing (METRICS) for rapid myelin water imaging

Author:

Dvorak Adam V.12ORCID,Wiggermann Vanessa134ORCID,Gilbert Guillaume5,Vavasour Irene M.16,MacMillan Erin L.456,Barlow Laura4,Wiley Neale4,Kozlowski Piotr246ORCID,MacKay Alex L.146,Rauscher Alexander134,Kolind Shannon H.12467

Affiliation:

1. Department of Physics and Astronomy University of British Columbia Vancouver British Columbia Canada

2. International Collaboration on Repair Discoveries University of British Columbia Vancouver British Columbia Canada

3. Department of Pediatrics University of British Columbia Vancouver British Columbia Canada

4. UBC MRI Research Centre University of British Columbia Vancouver British Columbia Canada

5. MR Clinical Science Philips Canada Markham Ontario Canada

6. Department of Radiology University of British Columbia Vancouver British Columbia Canada

7. Division of Neurology Department of Medicine University of British Columbia Vancouver British Columbia Canada

Abstract

PurposeMyelin water imaging (MWI) provides a valuable biomarker for myelin, but clinical application has been restricted by long acquisition times. Accelerating the standard multi‐echo T2 acquisition with gradient echoes (GRASE) or by 2D multi‐slice data collection results in image blurring, contrast changes, and other issues. Compressed sensing (CS) can vastly accelerate conventional MRI. In this work, we assessed the use of CS for in vivo human MWI, using a 3D multi spin‐echo sequence.MethodsWe implemented multi‐echo T2 relaxation imaging with compressed sensing (METRICS) and METRICS with partial Fourier acceleration (METRICS‐PF). Scan‐rescan data were acquired from 12 healthy controls for assessment of repeatability. MWI data were acquired for METRICS in 9 m:58 s and for METRICS‐PF in 7 m:25 s, both with 1.5 × 2 × 3 mm3 voxels, 56 echoes, 7 ms ΔTE, and 240 × 240 × 170 mm3 FOV. METRICS was compared with a novel multi‐echo spin‐echo gold‐standard (MSE‐GS) MWI acquisition, acquired for a single additional subject in 2 h:2 m:40 s.ResultsMETRICS/METRICS‐PF myelin water fraction had mean: repeatability coefficient 1.5/1.1, coefficient of variation 6.2/4.5%, and intra‐class correlation coefficient 0.79/0.84. Repeatability metrics comparing METRICS with METRICS‐PF were similar, and both sequences agreed with reference values from literature. METRICS images and quantitative maps showed excellent qualitative agreement with those of MSE‐GS.ConclusionMETRICS and METRICS‐PF provided highly repeatable MWI data without the inherent disadvantages of GRASE or 2D multi‐slice acquisition. CS acceleration allows MWI data to be acquired rapidly with larger FOV, higher estimated SNR, more isotropic voxels and more echoes than with previous techniques. The approach introduced here generalizes to any multi‐component T2 mapping application.

Funder

Faculty of Graduate Studies, University of British Columbia

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

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