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通过数字光学孪生模拟牙髓活力测量:牙齿组件对光谱传输的影响

Simulating Pulp Vitality Measurements via Digital Optical Twins: Influence of Dental Components on Spectral Transmission.

作者信息

Hevisov David, Ertl Thomas Peter, Kienle Alwin

机构信息

Institute for Laser Technologies in Medicine and Metrology at the University of Ulm, 89081 Ulm, Germany.

DeguDent GmbH, Dentsply Sirona, 63457 Hanau, Germany.

出版信息

Sensors (Basel). 2025 May 20;25(10):3217. doi: 10.3390/s25103217.

Abstract

Optical diagnostic techniques represent an attractive complement to conventional pulp vitality tests, as they can provide direct information about the vascular status of the pulp. However, the complex, multi-layered structure of a tooth significantly influences the detected signal and, ultimately, the diagnostic decision. Despite this, the impact of the various dental components on light propagation within the tooth, particularly in the context of diagnostic applications, remains insufficiently studied. To help bridge this gap and potentially enhance diagnostic accuracy, this study employs digital optical twins based on the Monte Carlo method. Using incisor and molar models as examples, the influence of tooth and pulp geometry, blood concentration, and pulp composition, such as the possible presence of pus, on spectrally resolved transmission signals is demonstrated. Furthermore, it is shown that gingival blood absorption can significantly overlay the pulpal measurement signal, posing a substantial risk of misdiagnosis. Strategies such as shifting the illumination and detection axes, as well as time-gated detection, are explored as potential approaches to suppress interfering signals, particularly those originating from the gingiva.

摘要

光学诊断技术是传统牙髓活力测试的一种有吸引力的补充,因为它们可以提供有关牙髓血管状态的直接信息。然而,牙齿复杂的多层结构会显著影响检测信号,并最终影响诊断决策。尽管如此,各种牙齿成分对光在牙齿内部传播的影响,特别是在诊断应用的背景下,仍未得到充分研究。为了帮助弥补这一差距并可能提高诊断准确性,本研究采用基于蒙特卡罗方法的数字光学双胞胎。以门牙和磨牙模型为例,展示了牙齿和牙髓几何形状、血液浓度以及牙髓成分(如可能存在的脓液)对光谱分辨透射信号的影响。此外,研究表明牙龈血液吸收会显著叠加牙髓测量信号,从而带来误诊的重大风险。作为抑制干扰信号(特别是来自牙龈的干扰信号)的潜在方法,探索了诸如改变照明和检测轴以及时间选通检测等策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b104/12115953/4886d25c7f92/sensors-25-03217-g0A1.jpg

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