Automated Muscle Fat Segmentation in DTI Data of Post-Polio Patients Based on Parameter Distirbutions

Keywords

academical acquisitions addition affected anisotropy anterior arch architecture assessing atrophy automated belonging biomedical blue bring channel chosen coil combined compartment compartments completely complication computed consisted cumulative damage dataset degrees density describe develop differ diffusion diffusivity disease distinction distribution distributions edges eigenvalues engineering entire expected fiber filter fitted five fraction fractional fully function functions gradient green guess healthy hinders histogram histograms homogenized identified impact individual infiltrated initial input insight integration interventions investigate known legs length like little made make male masks measured mechanism medical minimal much muscle muscles needed neurology next organized overlaid overlap partially pathogenesis patient patients polio post posterior precise preserves probability progression proposed radiology rehabilitation remnants repeated replaced represents residual revealed scanner segment segmentation segmented sense severe similarly skeletal skew slice spatially stacks step steps still stopped structures subcutaneous suffer suppression syndrome technology tensor therapeutic therapy threshold together tracking tracts upper user variance view volume volunteer weakness whole yellow