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'Pscore' - A Novel Percentile-Based Metric to Accurately Assess Individual Deviations in Non-Gaussian Distributions of Quantitative MRI Metrics.

Rakibul HafizM Okan IrfanogluAmritha NayakCarlo Pierpaoli
Published in: bioRxiv : the preprint server for biology (2023)
The inherent skewness observed for dMRI metrics preclude the use of conventional Zscore analysis. The proposed 'Pscore' method accurately estimates individual deviations in skewed normative data. Although the HCP dMRI data was showcased, Pscores offer a general solution, even for smaller databases with non-Gaussian distributed values of neuroimaging and clinical measurements.
Keyphrases
  • big data
  • electronic health record
  • magnetic resonance imaging
  • high resolution
  • contrast enhanced
  • machine learning
  • data analysis
  • artificial intelligence
  • diffusion weighted imaging