Microstructure Imaging of Crossing White Matter Fibers from Diffusion MRI
White Matter Fiber CharacterizationA new, versatile optimization technique enables microstructure imaging of crossing white matter fibers. Microstructure Imaging of Crossing (MIX) White Matter Fibers is a novel regression method that can characterize tissue microstructure in the brain white matter from diffusion MRI (dMRI) data. The technique is robust, versatile and utilizes the Variable Separation Method (VSM) to fit existing biophysical models with improved accuracy. A MATLAB implementation of MIX demonstrates its applicability to general microstructure models in fiber crossings using synthetic as well as ex-vivo and in-vivo brain data.The software is publically available under the GPL v3.0 licenseand can be downloaded from the CMRR MIX webpage. (For an alternative license, please contact Andrew Morrow).Solves Complex Biophysical Model Fitting ProblemsMethods to identify features in complex white matter fiber configurations (e.g. crossings) have largely been overlooked by the dMRI community. Existing methods are limited to models assuming single fiber orientation, relevant to limited brain areas like the corpus callosum, or multiple orientations but without the ability to extract detailed microstructural features. The MIX regression offers the ability to solve complex biophysical model fitting problems and to propose and test new models previously impossible to solve.BENEFITS AND FEATURES:Enables microstructure imaging of crossing white matter fibersBased on diffusion MRI (dMRI) dataRobust and versatileSolve complex biophysical model fitting problemsAPPLICATIONS:MRIComplex biophysical model fitting problemsTesting of new modelsPhase of Development Prototyped in MATLAB
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