Abstract：
Objective: This article investigates the effect of varying breast tumor size on the fluence rate distribution within a breast model during the diffuse optical imaging procedure. Background: Early detection of breast cancer is of significant importance owing to its wide spread among women worldwide. Mastectomy surgery became very common due to the late detection of breast cancers by the conventional diagnostic methods such as X-ray mammography and magnetic resonance imaging. On the contrary, optical imaging techniques provide a safe and more sensitive methodology, which is suitable for the early detection criteria. Methods: The implementation was performed based on simulating multiple detectors placed on the outer surface of a human breast model to compute the optical fluence rate after probing the breast (normal and different tumor sizes) with laser irradiation. Different laser wavelengths ranging from the red to near-infrared rays spectral range were examined to determine the optimum fluence rate that shows the highest capability to differentiate between normal and cancerous breasts. A three-dimensional breast model was created using the COMSOL multiphysics package where the optical fluence rate was estimated based on the finite-element solution of the diffusion equation. Results: To evaluate the efficiency of the suggested technique for identifying cancers and discriminate them from normal breast at various wavelengths (600-1000 nm) and several tumor sizes. Conclusions: The obtained results reveal different fluence rate distributions in the breast with different radius tumors, especially at 600 nm due to the significant differences in the scattering coefficient between malignancies and healthy tissue.
摘要：
目的：本文研究了在扩散光学成像过程中，乳腺肿瘤大小的变化对乳腺模型内注量率分布的影响。背景：由于乳腺癌在全球女性中的广泛传播，因此早期发现乳腺癌具有重要意义。由于通过常规诊断方法例如X射线乳房X线照相术和磁共振成像对乳腺癌的晚期检测,乳房切除术手术变得非常普遍。相反,光学成像技术提供了一种安全和更敏感的方法，这适用于早期检测标准。方法：该实施是基于模拟放置在人体乳房模型外表面上的多个探测器来计算激光照射探测乳房（正常和不同肿瘤大小）后的光通量率。检查了从红色到近红外光谱范围的不同激光波长，以确定最佳注量率，该最佳注量率显示出区分正常乳房和癌性乳房的最高能力。使用COMSOL多物理场软件包创建了一个三维乳房模型，其中根据扩散方程的有限元解估算了光通量率。结果：评估建议的技术用于识别癌症的效率，并在各种波长（600-1000nm）和几种肿瘤大小下将其与正常乳腺区分开。结论：获得的结果揭示了不同半径肿瘤的乳腺中不同的注量率分布。尤其是在600nm处，由于恶性肿瘤和健康组织之间的散射系数存在显着差异。
