Department of Electronics and Communication Engineering, SRM TRP Engineering College, Trichy, India.
Department of Mechanical Engineering, SRM TRP Engineering College, Trichy, India.
Sci Rep. 2023 Feb 10;13(1):2406. doi: 10.1038/s41598-023-29063-4.
The forward model design was employed in the Diffuse Optical Tomography (DOT) system to determine the optimal photonic flux in soft tissues like the brain and breast. Absorption coefficient (mua), reduced scattering coefficient (mus), and photonic flux (phi) were the parameters subjected to optimization. The Box-Behnken Design (BBD) method of the Response Surface Methodology (RSM) was applied to enhance the Diffuse Optical Tomography experimental system. The DC modulation voltages applied to different laser diodes of 850 nm and 780 nm wavelengths and spacing between the source and detector are the two factors operating on three optimization parameters that predicted the result through two-dimensional tissue image contours. The analysis of the Variance (ANOVA) model developed was substantial (R = > 0.954). The experimental results indicate that spacing and wavelength were more influential factors for rebuilding image contour. The position of the tumor in soft tissues is inspired by parameters like absorption coefficient and scattering coefficient, which depend on DC voltages applied to the Laser diode. This regression method predicted the values throughout the studied parameter space and was suitable for enhancement learning of diffuse optical tomography systems. The range of residual error percentage evaluated between experimental and predicted values for mua, mus, and phi was 0.301%, 0.287%, and 0.1%, respectively.
正向模型设计被应用于漫射光学断层扫描 (DOT) 系统中，以确定像大脑和乳房这样的软组织中的最佳光子通量。吸收系数 (mua)、散射系数降低 (mus) 和光子通量 (phi) 是需要优化的参数。响应面法 (RSM) 的 Box-Behnken 设计 (BBD) 方法被应用于增强漫射光学断层扫描实验系统。将直流调制电压施加到不同波长为 850nm 和 780nm 的激光二极管上，以及源和探测器之间的间隔，是作用于三个优化参数的两个因素，通过二维组织图像轮廓预测结果。所开发的方差分析 (ANOVA) 模型的分析结果是显著的 (R = > 0.954)。实验结果表明，间距和波长是重建图像轮廓的更重要因素。软组织中肿瘤的位置受到吸收系数和散射系数等参数的影响，这些参数取决于施加到激光二极管上的直流电压。这种回归方法预测了整个研究参数空间的值，适合增强漫射光学断层扫描系统的学习。在 mua、mus 和 phi 方面，评估的实验值和预测值之间的残差百分比范围分别为 0.301%、0.287%和 0.1%。
