Journal article
Lesion segmentation from multimodal MRI using random forest following ischemic stroke
J Mitra, P Bourgeat, J Fripp, S Ghose, S Rose, O Salvado, A Connelly, B Campbell, S Palmer, G Sharma, S Christensen, L Carey
Neuroimage | Published : 2014
Abstract
Understanding structure-function relationships in the brain after stroke is reliant not only on the accurate anatomical delineation of the focal ischemic lesion, but also on previous infarcts, remote changes and the presence of white matter hyperintensities. The robust definition of primary stroke boundaries and secondary brain lesions will have significant impact on investigation of brain-behavior relationships and lesion volume correlations with clinical measures after stroke. Here we present an automated approach to identify chronic ischemic infarcts in addition to other white matter pathologies, that may be used to aid the development of post-stroke management strategies. Our approach us..
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Awarded by Australian Research Council
Funding Acknowledgements
We would like to acknowledge the Stroke Imaging Prevention ant Treatment (START) program of research which is supported in part by the CSIRO of Australia through the Preventative Health Flagship Cluster, the National Health and Medical Research Council of Australia, and a Victorian Government Operational Infrastructure Support Grant In particular, we wish to acknowledge the stroke patients, radiologists am START researchers who contributed to the data collected for this study. LC is supported by an Australian Research Council Future Fellowship [number FT0992299]. The funding sources had no role in conduct of the study or writing of the report.