Stroke is a leading cause of death and a major cause of permanent disability. Its management is demanding because of variety of protocols, imaging modalities, pulse sequences, hemodynamic maps, criteria for treatment, and time constraints to promptly evaluate and treat. To cope with some of these issues, we propose novel, patented solutions in stroke management by employing multiple brain atlases for diagnosis, treatment, and prediction. Numerous and diverse CT and MRI scans are used: ARIC cohort, ischemic and hemorrhagic stroke CT cases, MRI cases with multiple pulse sequences, and 128 stroke CT patients, each with 170 variables and one year follow-up. The method employs brain atlases of anatomy, blood supply territories, and probabilistic stroke atlas. It rapidly maps an atlas to scan and provides atlas-assisted scan processing. Atlas-to-scan mapping is application-dependent and handles three types of regions of interest (ROIs): atlas-defined ROIs, atlas-quantified ROIs, and ROIs creating an atlas. An ROI is defined by atlas-guided anatomy or scan-derived pathology. The atlas defines ROI or quantifies it. A brain atlas potential has been illustrated in four atlas-assisted applications for stroke occurrence prediction and screening, rapid and automatic stroke diagnosis in emergency room, quantitative decision support in thrombolysis in ischemic stroke, and stroke outcome prediction and treatment assessment. The use of brain atlases in stroke has many potential advantages, including rapid processing, automated and robust handling, wide range of applications, and quantitative assessment. Further work is needed to enhance the developed prototypes, clinically validate proposed solutions, and introduce them to clinical practice.

中风是导致死亡的主要原因，也是造成永久性残疾的主要原因。由于各种协议，成像方式，脉冲序列，血流动力学图，治疗标准以及及时评估和治疗的时间限制，其管理要求很高。为了解决其中的一些问题，我们通过采用多个脑图谱进行诊断，治疗和预测，提出了中风管理中新颖的专利解决方案。使用了多种多样的CT和MRI扫描：ARIC队列，缺血性和出血性中风CT病例，具有多个脉冲序列的MRI病例和128例中风CT患者，每例都有170个变量并进行了一年的随访。该方法采用了解剖学，供血区域和概率性中风图集的大脑图集。它快速映射要扫描的地图集，并提供地图集辅助的扫描处理。地图集到扫描的映射取决于应用程序，并且处理三种类型的感兴趣区域（ROI）：地图集定义的ROI，地图集量化的ROI和创建地图集的ROI。ROI由图谱引导的解剖结构或扫描衍生的病理学定义。该图集定义或量化了ROI。脑图谱潜力已在以下四个图谱辅助应用中得到了说明：中风发生预测和筛查，急诊室中快速和自动中风诊断，缺血性中风溶栓的定量决策支持以及中风结果预测和治疗评估。在中风中使用脑部地图集具有许多潜在的优势，包括快速处理，自动化和强大的处理，广泛的应用程序以及定量评估。需要做进一步的工作来增强已开发的原型，