Field-of-view extension for brain diffusion MRI via deep generative models.

Chenyu Gao Shunxing Bao Michael E Kim Nancy R NewlinPraitayini KanakarajTianyuan YaoGaurav RudravaramYuankai HuoDaniel MoyerKurt SchillingWalter A KukullArthur W TogaDerek B ArcherTimothy J Hohman Bennett A Landman Zhiyuan Li

Published in: Journal of medical imaging (Bellingham, Wash.) (2024)

Results suggest that the proposed framework achieved sufficient imputation performance in brain dMRI data with an incomplete FOV for improving whole-brain tractography, thereby repairing the corrupted data. Our approach achieved more accurate whole-brain tractography results with an extended and complete FOV and reduced the uncertainty when analyzing bundles associated with Alzheimer's disease.

Keyphrases

white matter
resting state
multiple sclerosis
electronic health record
big data
high resolution
magnetic resonance
data analysis
brain injury