In this paper, we present a new tool for white matter lesion segmentation called lesionBrain. Our method is based on a 3-stage strategy including multimodal patch-based segmentation, patch-based regularization of probability map and patch-based error correction using an ensemble of shallow neural networks. Its robustness and accuracy have been evaluated on the MSSEG challenge 2016 datasets. During our validation, the performance obtained by le-sionBrain was competitive compared to recent deep learning methods. Moreover, lesionBrain proposes automatic lesion categorization according to location. Finally, complementary information on gray matter atrophy is included in the generated report. LesionBrain follows a software as a service model in full open access.
O utcomes after stroke may include motor, cognitive, and/ or emotional impairment (1,2). Some of these longterm sequelae are the result of the brain tissue injured by infarction. However, long-term clinical outcome may also be impacted by delayed neurodegeneration of remote but functionally or anatomically connected areas that become disconnected as a result of primary ischemic injury (3). The substantia nigra (SN) is one brain region suspected to be affected after infarction, in view of its large array of connections with the supratentorial brain. The striatum is connected to this structure through the nigrostriatal pathway (4,5), as are other parts of motor, limbic, and cognitive circuits (6). Overall, the SN is involved in motor control (7), regulation of emotions (8), cognition, and motivation through reward circuit (9). Whether secondary involvement of SN worsens overall clinical outcome after a supratentorial stroke has not previously been studied. Better techniques are required to understand the impact of supratentorial injury on the SN after stroke. At MRI, T2 hyperintensity (10) and/or reduction of apparent diffusion
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.