Conventional diffusion tensor imaging (DTI) has been widely used to examine white matter connectivity with neurological diseases but is limited in detecting pathways with crossing fibers. As the crossing fibers are abundant in large and complicated brains like human and non-human primate brains, the DTI tractography results may be biased substantially. In stroke research, the integrity of corticospinal tract (CST) plays a critical role in assessing the motor function. In this study, a compressed sensing technique was explored to improve the CST delineation with conventional DTI, and the feasibility was evaluated by using a monkey model of stroke.
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