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Automatic identification of Frankfurt plane and mid-sagittal plane of skull

机译:自动识别颅骨的法兰克福平面和中矢状平面

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Automatic identification of the Frankfurt plane (FP) and mid-sagittal plane (MSP) of a human skull is a very important task. These planes are used to define important landmarks on the skull for surgery planning and guidance, forensic reconstruction, and anthropological and archaeological studies. At present, there is no known method for automatic identification of FP. Existing methods identify FP by fitting a plane over manually marked landmark points. On the other hand, existing automatic methods identify MSP by looking for a symmetric plane that divides the skull into the left and right sides. Unfortunately, this approach is inaccurate because extensive anthropological studies show that there is significant lateral asymmetry in the skulls. This paper proposes an automatic, accurate, and robust method for identifying FP and MSP of skulls. It registers a template skull model with known landmarks to a target skull to locate the landmarks, FP, and MSP on the target skull. Then, it iteratively refines the landmark locations, FP and MSP according to their medical definitions. Test results show that the proposed algorithm is more robust and accurate than symmetry-based methods. Moreover, it can also be applied to partial skull models of real patients.
机译:自动识别人类头骨的法兰克福平面(FP)和矢状中平面(MSP)是一项非常重要的任务。这些平面用于在颅骨上定义重要的地标,以进行手术计划和指导,法医重建以及人类学和考古学研究。目前,尚无用于自动识别FP的已知方法。现有方法通过将平面拟合在手动标记的界标点上来识别FP。另一方面,现有的自动方法通过寻找将头骨分为左右两侧的对称平面来识别MSP。不幸的是,这种方法是不准确的,因为大量的人类学研究表明头骨中存在明显的横向不对称性。本文提出了一种自动,准确和鲁棒的方法来识别头骨的FP和MSP。它在目标头骨上注册具有已知界标的模板头骨模型,以在目标头骨上定位界标,FP和MSP。然后,根据其医学定义迭代地优化地标位置,FP和MSP。测试结果表明,与基于对称的方法相比,该算法具有更好的鲁棒性和准确性。而且,它也可以应用于真实患者的部分颅骨模型。

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