Predicting T1 Information from Diffusion Image Data

Keywords

ability actual allow anisotropy applications around atlas avoid axial background basis becomes better brain bundles certain clear coefficients complex computer constructed contrast cortical creating curvature curve details diffusion directly display distortions eddy either elements energy entropy equation error every fact feature features fiber filtered forest forests forming general generalized good gray hand harmonic improved indeed independent instead intricate invariant issue kurtosis learn learning like machine macroscopic many mapping maps mathematical measures medical methodology modeling motion namely neural next none normalized note notice often orientation orthogonal partial predict predicted prediction processed propose proposed random registration remove requires rigid robust rotations scalar sett since snippets space spatial squared strategy studies subjects superior surfer tensor theory tissue tracts traditionally training trans tree types unseen variance vector ventricles vision visualization visualize volumetric waterloo ween white widely