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Tracing Based Segmentation for the Labeling of Individual Rib Structures in Chest CT Volume Data

机译:基于基于胸部CT卷数据标记的分割

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We propose a fast and robust segmentation algorithm for the extraction and labeling of individual rib structures in chest CT volume data. A diagnostic system based on this algorithm can display 3D rib centerlines, contours and surfaces. A click on a rib point in any slice image will have the system identify instantly the individual rib it belongs to. The algorithm is based on a recursive tracing approach. The geometrical properties of the rib structure are explored to set up valid assumptions and model. At each step, statistical analysis is combined with dynamic programming to estimate the outer surface contour from the detected edges. The algorithm works reliably on CT volume data of variant doses and resolutions. This algorithm can be extended to other modalities. The detected centerlines can also be used for reliable and fast registration of in or cross-modality volume data of chest scans.
机译:我们提出了一种快速且坚固的分割算法,用于胸部CT卷数据中单个肋结构的提取和标记。基于该算法的诊断系统可以显示3D肋骨中心线,轮廓和表面。点击任何片图像中的罗纹点将使系统立即识别它所属的各个肋骨。该算法基于递归跟踪方法。探索了肋骨结构的几何特性来建立有效的假设和模型。在每个步骤中,统计分析与动态编程组合以估计来自检测到的边缘的外表面轮廓。该算法可靠地在变体剂量和分辨率的CT卷数据上工作。该算法可以扩展到其他模态。检测到的中心线也可用于胸部扫描的可靠性和快速登记或胸部扫描的跨态量数据。

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