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Automated planning of MRI neuro scans

机译:MRI神经扫描的自动计划

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摘要

In clinical MRI examinations, the geometry of diagnostic scans is defined in an initial planning phase. The operator plans the scan volumes (off-centre, angulation, field-of-view) with respect to patient anatomy in 'scout' images. Often multiple plans are required within a single examination, distracting attention from the patient waiting in the scanner. A novel and robust method is described for automated planning of neurological MRI scans, capable of handling strong shape deviations from healthy anatomy. The expert knowledge required to position scan geometries is learned from previous example plans, allowing site-specific styles to be readily taken into account. The proposed method first fits an anatomical model to the scout data, and then new scan geometries are positioned with respect to extracted landmarks. The accuracy of landmark extraction was measured to be comparable to the inter-observer variability, and automated plans are shown to be highly consistent with those created by expert operators using clinical data. The results of the presented evaluation demonstrate the robustness and applicability of the proposed approach, which has the potential to significantly improve clinical workflow.
机译:在临床MRI检查中,诊断扫描的几何形状是在初始计划阶段定义的。操作员根据“侦察”图像中的患者解剖结构计划扫描体积(偏心,角度,视野)。通常,在一次检查中需要多个计划,以分散对等待扫描仪的患者的注意力。描述了一种新颖而强大的方法,用于自动规划神经系统MRI扫描,能够处理与健康解剖结构强烈的形状偏差。定位扫描几何形状所需的专业知识是从以前的示例计划中学习的,从而可以轻松考虑特定于站点的样式。所提出的方法首先将解剖模型拟合到侦察数据,然后相对于提取的界标定位新的扫描几何形状。经测量,界标提取的准确性可与观察者间的变异性相媲美,并且自动化计划显示出与专家操作员使用临床数据创建的计划高度一致。提出的评估结果证明了所提出方法的鲁棒性和适用性,具有显着改善临床工作流程的潜力。

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