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MRI based Objective Ischemic Core-Penumbra Quantification in Adult Clinical Stroke

机译:基于MRI的目标缺血性核心半影在成人临床中风中量化

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Objective and non-invasive quantification of ischemic stroke and differentiation of salvageable from non-salvageable tissue is critical to treatment planning. However current Magnetic Resonance Imaging (MRI) techniques are time consuming and rely on manual detection methods. Computer aided preliminary screening of the injured tissue could assist neuroradiologists in performing more detailed analysis of the lesion components. An established Hierarchical Region Splitting (HRS) method was extended to segment lesions from adult patients who suffered a clinical stroke using diffusion- and perfusion weighted image (DWI-PWI) maps and associated computed maps. Apart from lesion quantification PWI-DWI based HRS was also able to automatically quantify core (irrecoverable) the penumbra (potentially recoverable) which helped to estimate salvageable tissue. The PWI-DWI/HRS results were validated by comparing with manually demarcated ground truth in terms of performance indices like lesion volume (82.1% accuracy), sensitivity (78.8%), specificity (99.3%) and similarity (78.54%) for a dataset of 10 acute adult stroke patients. Data sets were classified into severe, moderate and mild injuries based on total lesion volume. Proposed PWI-DWI/HRS method demonstrated accuracy close to manual lesion demarcation with high performance indices for core and penumbra in severe and moderate classes.
机译:目标和非侵入性定量缺血性卒中的分化与不可依赖的组织的可裂变是关键的治疗计划。然而,电流磁共振成像(MRI)技术是耗时且依赖手动检测方法。计算机辅助筛选受伤组织可以帮助神经加理学医生进行对病变组件的更详细分析。已建立的分层区域分裂(HRS)方法延伸到使用扩散和灌注加权图像(DWI-PWI)地图和相关的计算地图的成年患者的成年患者的分段病变。除了病变量化,PWI-DWI基于HRS还能够自动量化核心(无法恢复)PENUMBRA(潜在可恢复的),这有助于估计可挽救可排序的组织。通过与病变体积(精度为82.1%),灵敏度(78.8%),特异性(99.3%)和相似性(78.54%)的性能指数比较,通过比较了PWI-DWI / HRS结果。数据集的特异性(78.8%)和相似性(78.54%) 10例急性成人中风患者。基于总病变体积的数据集分为严重,中度和轻度损伤。提出的PWI-DWI / HRS方法证明了在严重和中等课程中具有高性能指数的手动病变划分的准确性。

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