Hellen Adam, Matvienko Anna, Mandelis Andreas, Finer Yoav, Amaechi Bennett T
Center for Advanced Diffusion-Wave Technologies, Department of Mechanical and Industrial Engineering, University of Toronto, 5 King's College Road, Toronto, Ontario M5S 3G8, Canada.
Appl Opt. 2010 Dec 20;49(36):6938-51. doi: 10.1364/AO.49.006938.
Noninvasive dental diagnostics is a growing discipline since it has been established that early detection and quantification of tooth mineral loss can reverse caries lesions in their incipient state. A theoretical coupled diffuse photon density and thermal-wave model was developed and applied to photothermal radiometric frequency responses, fitted to experimental data using a multiparameter simplex downhill minimization algorithm for the extraction of optothermophysical properties from artificially demineralized human enamel. The aim of this study was to evaluate the reliability and robustness of the advanced fitting algorithm. The results showed a select group of optical and thermal transport parameters and thicknesses were reliably extracted from the computational fitting algorithm. Theoretically derived thicknesses were accurately predicted, within about 20% error, while the estimated error in the optical and thermal property evaluation was within the values determined from early studies using destructive analyses. The high fidelity of the theoretical model illustrates its efficacy, reliability, and applicability toward the nondestructive characterization of depthwise inhomogeneous sound enamel and complex enamel caries lesions.
无创牙科诊断是一门不断发展的学科,因为已经证实,早期检测和量化牙齿矿物质流失可以逆转初期龋齿病变。建立了一个理论上的耦合漫射光子密度和热波模型,并将其应用于光热辐射频率响应,使用多参数单纯形下山最小化算法拟合实验数据,以从人工脱矿的人类牙釉质中提取光热物理性质。本研究的目的是评估先进拟合算法的可靠性和稳健性。结果表明,从计算拟合算法中可靠地提取了一组选定的光学和热传输参数以及厚度。理论推导的厚度被准确预测,误差约为20%,而光学和热性质评估中的估计误差在早期使用破坏性分析的研究确定的值范围内。理论模型的高保真度说明了其对深度不均匀健康牙釉质和复杂牙釉质龋损进行无损表征的有效性、可靠性和适用性。