29 April 2005 Evaluation of ischemic stroke hybrid segmentation in a rat model of temporary middle cerebral artery occlusion using ground truth from histologic and MR data
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Abstract
A segmentation method that quantifies cerebral infarct using rat data with ischemic stroke is evaluated using ground truth from histologic and MR data. To demonstrate alternative approach to rapid quantification of cerebral infarct volumes using histologic stained slices that requires scarifying animal life, a study with MR acquire volumetric rat data is proposed where ground truth is obtained by manual delineations by experts and automated segmentation is assessed for accuracy. A framework for evaluation of segmentation is used that provides more detailed accuracy measurements than mere cerebral infarct volume. Our preliminary experiment shows that ground truth derived from MRI data is at least as good as the one obtained from the histologic slices for evaluating segmentation algorithms for accuracy. Therefore we can develop and evaluate automated segmentation methods for rapid quantification of stroke without the necessitating animal sacrifice.
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Celina Imielinska, Celina Imielinska, Yinpeng Jin, Yinpeng Jin, Xin Liu, Xin Liu, Joel Rosiene, Joel Rosiene, Brad E. Zacharia, Brad E. Zacharia, Ricardo J. Komotar, Ricardo J. Komotar, J. Mocco, J. Mocco, Michael E. Sughrue, Michael E. Sughrue, Bartosz Grobelny, Bartosz Grobelny, Alex Sisti, Alex Sisti, Josh Silverberg, Josh Silverberg, Joyce Khandji, Joyce Khandji, Hilary Cohen, Hilary Cohen, Sander Connolly, Sander Connolly, Anthony L. D'Ambrosio, Anthony L. D'Ambrosio, "Evaluation of ischemic stroke hybrid segmentation in a rat model of temporary middle cerebral artery occlusion using ground truth from histologic and MR data", Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.596662; https://doi.org/10.1117/12.596662
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