Cross-scanner reproducibility and harmonization of a diffusion MRI structural brain network: A traveling subject study of multi-b acquisition

• Published in: NeuroImage (Orlando, Fla.) Vol. 245; p. 118675
• Main Authors: Kurokawa, Ryo, Kamiya, Kouhei, Koike, Shinsuke, Nakaya, Moto, Uematsu, Akiko, Tanaka, Saori C., Kamagata, Koji, Okada, Naohiro, Morita, Kentaro, Kasai, Kiyoto, Abe, Osamu
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.12.2021; Elsevier Limited; Elsevier
• Subjects: Adult; Algorithms; Brain - diagnostic imaging; Connectivity; Connectome; Cross-scanner variability; Datasets; Diffusion magnetic resonance imaging; Diffusion Tensor Imaging - methods; Female; Harmonization; Humans; Image Processing, Computer-Assisted - methods; Information processing; Magnetic resonance imaging; Male; Middle Aged; Neuroimaging - methods; Noise; Reproducibility; Reproducibility of Results; Scanners; Young Adult; Diffusion magnetic resonance imaging; MRI; MP-PCA; ICC; dMRI; Harmonization; CV; HCP; Cross-scanner variability; SNR; Connectivity; LinearRISH; BIC

Characterization of brain networks by diffusion MRI (dMRI) has rapidly evolved, and there are ongoing movements toward data sharing and multi-center studies. To extract meaningful information from multi-center data, methods to correct for the bias caused by scanner differences, that is, harmonizatio...