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Brain Stroke Evaluation from Multi-image Modalities Using Image Registration and Segmentation Techniques

机译：使用图像配准和分割技术从多图像方式的脑卒中评估

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摘要

The mortality of acute ischemic stroke has been ranking the top three in the causes of death in Taiwan since the latest 20 years. Recently, the demarcation of ischemic penumbra areas during emergency treatment is usually carried out by manual delineation through visual inspection, suffering from poor inter-rater reliability and time-consuming. Therefore, this study developed a method to automaticallyderive ischemicpenumbra areas by using image registration and segmentation techniques. The registrationaccuracy of 88.8% was achieved and the segmentation of ischemic penumbra was evaluated by comparing with expert's determination, revealing no significant difference. With the aid of that, clinicians can efficiently obtain a reliable index for the diagnoses and treatment of acute stroke.
机译：自最近20年以来，急性缺血中风的死亡率一直在台湾死亡原因中排名前三。最近，在紧急治疗期间的缺血缺血地区的划分通常是通过通过目视检查的手动描绘进行的，遭受差的帧间间可靠性和耗时的缺陷。因此，本研究通过使用图像登记和分割技术来开发了一种自动扩展的缺血性PENUMBRA区域的方法。实现了88.8％的注册，并通过与专家的决心进行评估，评估缺血半影的细分，揭示无显着差异。借助于，临床医生可以有效地获得急性中风的诊断和治疗的可靠指标。

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