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Piecewise Registration for Point-to-Surface Mapping of Cardiac Data

机译:CARKIAC数据点对点映射的分段注册

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Patient-specific mapping of point based cardiac data to a segmented heart surface requires accurate point-to-surface registration. The hypothesis is that anatomical movement that occurs between electrophysiological (E-P) data and cardiac image acquisition causes the pulmonary veins to have different orientations relative to the heart. We propose a piecewise registration of the atria and veins to produce a more accurate matching of these data sets. We developed phantoms and simulated clinical data accounting for noise and motion to demonstrate the robustness of the point-to-surface registration algorithm. Then three sets of patient data were used to evaluate rigid and piecewise registration, totaling three left atria and eight pulmonary veins. Analysis using the Student's t-test showed the overall average chamfer distance for the three patients was significantly lower with piecewise registration compared to global rigid registration (p-values = 0.01, 0.05, 0.10). Visual analysis of the global and piecewise registered points confirms the importance of considering the plasticity and locomotion generally inherent in dynamic biological systems when attempting to match data sets acquired from such systems.
机译:将基于点的心脏数据的患者特异性映射到分段心脏表面需要准确的点对点配准。假设是电生理(E-P)数据和心脏图像采集之间发生的解剖运动导致肺静脉相对于心脏具有不同的取向。我们提出了Atria和Veins的分段登记,以产生这些数据集的更准确匹配。我们开发了幽灵和模拟临床数据,用于噪声和运动,以展示点对点登记算法的稳健性。然后使用三套患者数据来评估刚性和分段登记,共剩下三个左教室和八个肺静脉。使用学生的T检验分析显示,与全球刚性注册相比,三名患者的整体平均倒角距离显着降低(P值= 0.01,0.05,0.10)。全局和分段登记点的视觉分析证实了考虑动态生物系统通常固有的可塑性和运动的重要性,当试图匹配从这种系统获取的数据集时。

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