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Detection of Breast Diseases using Numerical Study of Light Propagation

机译:利用光传播数值研究检测乳腺疾病

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Breast cancer is the most women killing disease worldwide which is easily treated in its early stages before symptoms appear. Therefore, early detection of breast tumor is very significant to reduce the breast cancer death rate. Since the limitations of breast diagnosis techniques, such as X-ray mammography, magnetic resonance imaging, breast ultrasonography and breast biopsies, in early assessment of the breast tissue, optical breast imaging methods have been appeared. In this article, an optical imaging method based on numerical study of light propagation in breast tissue, to measure spatially resolved steady state diffuse reflectance, transmittance and absorbed fraction features, by means of Monte-Carlo simulation was applied for early detection of the breast cancer. The features were measured for 5 mm thick samples of healthy breast tissue and breast tissues with benign and malignant tumors. The obtained results revealed that the features can be used for early detection of breast cancer in addition to the discrimination of benign and malignant tumors which can be very helpful in medical diagnosis of many breast diseases.
机译:乳腺癌是全世界杀死妇女的最多的疾病,在症状出现之前的早期阶段就很容易治疗。因此,早期发现乳腺肿瘤对于降低乳腺癌的死亡率非常重要。由于乳房诊断技术的局限性,例如X射线乳房X线照相,磁共振成像,乳房超声检查和乳房活检,在乳腺组织的早期评估中,出现了光学乳腺成像方法。在本文中,基于蒙特卡罗模拟的光学成像方法,基于在乳腺组织中光传播的数值研究,以测量空间分辨的稳态漫反射率,透射率和吸收分数特征,将其用于乳腺癌的早期检测。测量了健康乳腺组织以及具有良性和恶性肿瘤的乳腺组织的5毫米厚样品的特征。获得的结果表明,这些特征除了可以区分良性和恶性肿瘤外,还可以用于乳腺癌的早期检测,这对许多乳腺癌的医学诊断都非常有帮助。

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