Denoising Improves Cross-Scanner and Cross-Protocol Test-Retest Reproducibility of Diffusion Tensor and Kurtosis Imaging.

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Tác giả: Benjamin Ades-Aron, Steven H Baete, Santiago Coelho, Els Fieremans, Gregory Lemberskiy, Dmitry S Novikov, Timothy M Shepherd, Jelle Veraart

Ngôn ngữ: eng

Ký hiệu phân loại:

Thông tin xuất bản: United States : Human brain mapping , 2025

Mô tả vật lý:

Bộ sưu tập: NCBI

ID: 703697

The clinical translation of diffusion magnetic resonance imaging (dMRI)-derived quantitative contrasts hinges on robust reproducibility, minimizing both same-scanner and cross-scanner variability. As multi-site data sets, including multi-shell dMRI, expand in scope, enhancing reproducibility across variable MRI systems and MRI protocols becomes crucial. This study evaluates the reproducibility of diffusion kurtosis imaging (DKI) metrics (beyond conventional diffusion tensor imaging (DTI)), at the voxel and region-of-interest (ROI) levels on magnitude and complex-valued dMRI data, using denoising with and without harmonization. We compared same-scanner, cross-scanner, and cross-protocol variability for a multi-shell dMRI protocol (2-mm isotropic resolution, b = 0, 1000, 2000 s/mm
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