Benazzi Stefano, Nguyen Huynh Nhu, Kullmer Ottmar, Kupczik Kornelius
Department of Cultural Heritage, University of Bologna, Ravenna, Italy.
Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Leipzig, Germany.
PLoS One. 2016 Mar 31;11(3):e0152663. doi: 10.1371/journal.pone.0152663. eCollection 2016.
Dental biomechanics based on finite element (FE) analysis is attracting enormous interest in dentistry, biology, anthropology and palaeontology. Nonetheless, several shortcomings in FE modeling exist, mainly due to unrealistic loading conditions. In this contribution we used kinematics information recorded in a virtual environment derived from occlusal contact detection between high resolution models of an upper and lower human first molar pair (M1 and M1, respectively) to run a non-linear dynamic FE crash colliding test.
MicroCT image data of a modern human skull were segmented to reconstruct digital models of the antagonistic right M1 and M1 and the dental supporting structures. We used the Occlusal Fingerprint Analyser software to reconstruct the individual occlusal pathway trajectory during the power stroke of the chewing cycle, which was applied in a FE simulation to guide the M1 3D-path for the crash colliding test.
FE analysis results showed that the stress pattern changes considerably during the power stroke, demonstrating that knowledge about chewing kinematics in conjunction with a morphologically detailed FE model is crucial for understanding tooth form and function under physiological conditions.
CONCLUSIONS/SIGNIFICANCE: Results from such advanced dynamic approaches will be applicable to evaluate and avoid mechanical failure in prosthodontics/endodontic treatments, and to test material behavior for modern tooth restoration in dentistry. This approach will also allow us to improve our knowledge in chewing-related biomechanics for functional diagnosis and therapy, and it will help paleoanthropologists to illuminate dental adaptive processes and morphological modifications in human evolution.
基于有限元(FE)分析的牙齿生物力学在牙科、生物学、人类学和古生物学领域引起了极大的关注。然而,有限元建模存在一些缺点,主要是由于加载条件不切实际。在本研究中,我们利用从一对人类上、下第一磨牙(分别为M1和M1)的高分辨率模型之间的咬合接触检测所衍生的虚拟环境中记录的运动学信息,进行了非线性动态有限元碰撞测试。
对一个现代人颅骨的MicroCT图像数据进行分割,以重建拮抗的右侧M1和M1以及牙齿支持结构的数字模型。我们使用咬合指纹分析仪软件重建咀嚼周期动力冲程期间的个体咬合路径轨迹,并将其应用于有限元模拟中,以指导碰撞测试的M1三维路径。
有限元分析结果表明,在动力冲程期间应力模式有相当大的变化,这表明结合形态学详细的有限元模型的咀嚼运动学知识对于理解生理条件下的牙齿形态和功能至关重要。
结论/意义:这种先进的动态方法的结果将适用于评估和避免口腔修复学/牙髓治疗中的机械故障,并测试牙科现代牙齿修复材料的性能。这种方法还将使我们能够增进对咀嚼相关生物力学的了解,用于功能诊断和治疗,并且将有助于古人类学家阐明人类进化过程中的牙齿适应过程和形态变化。