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Abstract #4666

Repeatability and reliability of Diffusion Tensor Imaging in white matter rectified with free-water

Tomasz Pieciak1, Guillem París1, Santiago Aja-Fernández1, Rodrigo de Luis-García1, and Antonio Tristán-Vega1
1Laboratorio de Procesado de Imagen (LPI), ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain

Synopsis

Keywords: DWI/DTI/DKI, DWI/DTI/DKI, reproducibility

Motivation: Recent studies suggest that the free-water (FW) corrected diffusion tensor imaging (DTI) computed at a single-shell not only depends on the intial conditions of the optimisation procedure, but also might be unreliable.

Goal(s): To evaluate whether the multiple-shell FW correction enhances the repeatability and reliability of DTI.

Approach: The repeatability and reliability were evaluated empirically using the publicly available database MICRA (Neuroimage, 225, 2021).

Results: Direct optimization of the so-called bi-tensor representation leads to decreased inter-session repeatability of FW-corrected DTI compared to the standard DTI. Pre-estimating the FW from multiple-shell data and correcting the signal before estimation may improve the repeatability of DTI.

Impact: This result for multiple-shell diffusion MRI data opposes previous studies on single-shell data (Hum. Brain Mapp., 38(1), 2017), which suggest that correcting the DTI for FW via direct optimization of bi-tensor representation improves repeatability.

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Keywords