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首页> 外文会议>Mediterranean Conference on Medical and Biological Engineering and Computing >Symmetry Based Computer Aided Segmentation of Occluded Cerebral Arteries on CT Angiography
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Symmetry Based Computer Aided Segmentation of Occluded Cerebral Arteries on CT Angiography

机译：基于对称的CT血管造影闭塞脑动脉的计算机辅助分段

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Thrombus volume and length are important predictors of success of recanalization in patients with acute ischemic stroke. The lack of contrast between low density thrombus and surrounding brain tissue in CT images makes manual delineation a difficult and time consuming task. We developed and evaluated an automated lumen and thrombus segmentation pipeline on CT angiography. The method generates a shape prior from the segmentation of the contralateral artery, mirror symmetry and local image intensity. The accuracy and interobserver variability were assessed using Bland Alt man analysis and the calculation of Pearson's correlation coefficient. The accuracy of the method was comparable to the interobserver variation in manual delineations. To our knowledge, this method is the first automated thrombus segmentation on base-line CT angiography and therefore opens a way to automatic thrombus characterization for treatment planning.
机译：血栓体积和长度是急性缺血性卒中患者重新化成功的重要预测因子。 CT图像中低密度血栓和周围脑组织之间的对比度缺乏对比使手动描绘难以耗时的任务。我们开发并评估了CT血管造影的自动化内腔和血栓分割管道。该方法在对侧动脉的分割，镜像对称和局部图像强度的分割之前产生形状。使用Bland Alt Man分析和Pearson相关系数的计算评估了准确性和interobserver变异性。该方法的准确性与手动描绘中的Interobserver变化相当。据我们所知，这种方法是基线CT血管造影上的第一个自动血栓分割，因此开启了一种用于治疗计划的自动血栓表征的方法。

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