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Data‐driven algorithm for myelin water imaging: Probing subvoxel compartmentation based on identification of spatially global tissue features

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Multicomponent analysis of MRI T2 relaxation time (mcT2) is commonly used for estimating myelin content by separating the signal at each voxel into its underlying distribution of T2 values. This… Click to show full abstract

Multicomponent analysis of MRI T2 relaxation time (mcT2) is commonly used for estimating myelin content by separating the signal at each voxel into its underlying distribution of T2 values. This voxel‐based approach is challenging due to the large ambiguity in the multi‐T2 space and the low SNR of MRI signals. Herein, we present a data‐driven mcT2 analysis, which utilizes the statistical strength of identifying spatially global mcT2 motifs in white matter segments before deconvolving the local signal at each voxel.

Keywords: data driven; spatially global; driven algorithm; water imaging; myelin water; algorithm myelin

Journal Title: Magnetic Resonance in Medicine
Year Published: 2021

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