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Multi-spin echo T2 relaxation imaging with compressed sensing (METRICS) for rapid myelin water imaging.
Dvorak, Adam V; Wiggermann, Vanessa; Gilbert, Guillaume; Vavasour, Irene M; MacMillan, Erin L; Barlow, Laura; Wiley, Neale; Kozlowski, Piotr; MacKay, Alex L; Rauscher, Alexander; Kolind, Shannon H.
Afiliación
  • Dvorak AV; Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.
  • Wiggermann V; International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, British Columbia, Canada.
  • Gilbert G; Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.
  • Vavasour IM; Department of Pediatrics, University of British Columbia, Vancouver, British Columbia, Canada.
  • MacMillan EL; UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.
  • Barlow L; MR Clinical Science, Philips Canada, Markham, Ontario, Canada.
  • Wiley N; Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia, Canada.
  • Kozlowski P; Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
  • MacKay AL; UBC MRI Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.
  • Rauscher A; MR Clinical Science, Philips Canada, Markham, Ontario, Canada.
  • Kolind SH; Department of Radiology, University of British Columbia, Vancouver, British Columbia, Canada.
Magn Reson Med ; 84(3): 1264-1279, 2020 09.
Article en En | MEDLINE | ID: mdl-32065474
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Vaina de Mielina Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Vaina de Mielina Tipo de estudio: Qualitative_research Límite: Humans Idioma: En Revista: Magn Reson Med Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos