0000000000003579

AUTHOR

Serge Koudoro

showing 1 related works from this author

Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project

2021

ABSTRACTDiffusion-weighted magnetic resonance imaging (dMRI) measurements and models provide information about brain connectivity and are sensitive to the physical properties of tissue microstructure. Diffusional Kurtosis Imaging (DKI) quantifies the degree of non-Gaussian diffusion in biological tissue from dMRI. These estimates are of interest because they were shown to be more sensitive to microstructural alterations in health and diseases than measures based on the total anisotropy of diffusion which are highly confounded by tissue dispersion and fiber crossings. In this work, we implemented DKI in the Diffusion in Python (DIPY) project - a large collaborative open-source project which …

Computer scienceopen-source softwaremicrostructureNeurosciences. Biological psychiatry. NeuropsychiatryGrey matter030218 nuclear medicine & medical imagingWhite matterdiffusion MRI03 medical and health sciencesBehavioral Neuroscience0302 clinical medicinebiophysicsmedicineTechnology and CodeReference implementationDiffusion (business)DKIBiological Psychiatrycomputer.programming_languageGround truthmedicine.diagnostic_testMagnetic resonance imagingHuman NeuroscienceBiological tissueInvariant (physics)Python (programming language)Characterization (materials science)pythonDiffusion imagingPsychiatry and Mental healthmedicine.anatomical_structureNeuropsychology and Physiological PsychologyNeurologyDTIKurtosisAlgorithmcomputer030217 neurology & neurosurgeryRC321-571MRITractographyDiffusion MRIFrontiers in Human Neuroscience
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