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

Chenyu GaoShunxing BaoMichael E KimNancy R NewlinPraitayini KanakarajTianyuan YaoGaurav RudravaramYuankai HuoDaniel MoyerKurt SchillingWalter A KukullArthur W TogaDerek B ArcherTimothy J HohmanBennett A LandmanZhiyuan 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
  • functional connectivity
  • electronic health record
  • magnetic resonance imaging
  • machine learning
  • cognitive decline
  • contrast enhanced
  • brain injury