Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.

ABSTRACT: Cross-scanner and cross-protocol variability of diffusion magnetic resonance imaging (dMRI) data are known to be major obstacles in multi-site clinical studies since they limit the ability to aggregate dMRI data and derived measures. Computational algorithms that harmonize the data and minimize such variability are critical to reliably combine datasets acquired from different scanners and/or protocols, thus improving the statistical power and sensitivity of multi-site studies. Different computational approaches have been proposed to harmonize diffusion MRI data or remove scanner-specific differences. To date, these methods have mostly been developed for or evaluated on single b-value diffusion MRI data. In this work, we present the evaluation results of 19 algorithms that are developed to

SUBMITTER: Ning L 

PROVIDER: S-EPMC10243465 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature