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

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Title: Multi‐spin echo T2 relaxation imaging with compressed sensing (METRICS) for rapid myelin water imaging.
Authors: Dvorak, Adam V.1,2 (AUTHOR) adam.dvorak@ubc.ca, Wiggermann, Vanessa1,3,4 (AUTHOR), Gilbert, Guillaume5 (AUTHOR), Vavasour, Irene M.1,6 (AUTHOR), MacMillan, Erin L.4,5,6 (AUTHOR), Barlow, Laura4 (AUTHOR), Wiley, Neale4 (AUTHOR), Kozlowski, Piotr2,4,6 (AUTHOR), MacKay, Alex L.1,4,6 (AUTHOR), Rauscher, Alexander1,3,4 (AUTHOR), Kolind, Shannon H.1,2,4,6,7 (AUTHOR)
Source: Magnetic Resonance in Medicine. Sep2020, Vol. 84 Issue 3, p1264-1279. 16p.
Subjects: Compressed sensing, Echo, Myelin, Relaxation for health, Reference values
Abstract: Purpose: Myelin 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. Methods: We 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. Results: METRICS/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. Conclusion: METRICS 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. [ABSTRACT FROM AUTHOR]
Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Multi‐spin echo T<subscript>2</subscript> relaxation imaging with compressed sensing (METRICS) for rapid myelin water imaging.
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  Data: <searchLink fieldCode="AR" term="%22Dvorak%2C+Adam+V%2E%22">Dvorak, Adam V.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> adam.dvorak@ubc.ca</i><br /><searchLink fieldCode="AR" term="%22Wiggermann%2C+Vanessa%22">Wiggermann, Vanessa</searchLink><relatesTo>1,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gilbert%2C+Guillaume%22">Gilbert, Guillaume</searchLink><relatesTo>5</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vavasour%2C+Irene+M%2E%22">Vavasour, Irene M.</searchLink><relatesTo>1,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22MacMillan%2C+Erin+L%2E%22">MacMillan, Erin L.</searchLink><relatesTo>4,5,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Barlow%2C+Laura%22">Barlow, Laura</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wiley%2C+Neale%22">Wiley, Neale</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kozlowski%2C+Piotr%22">Kozlowski, Piotr</searchLink><relatesTo>2,4,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22MacKay%2C+Alex+L%2E%22">MacKay, Alex L.</searchLink><relatesTo>1,4,6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rauscher%2C+Alexander%22">Rauscher, Alexander</searchLink><relatesTo>1,3,4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kolind%2C+Shannon+H%2E%22">Kolind, Shannon H.</searchLink><relatesTo>1,2,4,6,7</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Sep2020, Vol. 84 Issue 3, p1264-1279. 16p.
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  Data: Purpose: Myelin 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. Methods: We 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. Results: METRICS/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. Conclusion: METRICS 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. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/mrm.28199
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        Text: English
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