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Tactile Sensation Imaging System for Inclusion Characterization

机译:包含物表征的触觉成像系统

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Characterizing and locating sub-surface tumors will greatly enhance the detection and treatment of breast cancer. In this paper, a novel tactile sensation imaging system, that is capable of detecting and characterizing the subsurface object, was designed, implemented, and tested. A multi-layer Polydimethylsiloxane optical waveguide has been fabricated as the sensing probe. The light was illuminated below the acceptance angle to totally reflect within the flexible and transparent waveguide. When a waveguide is compressed by an external force, the contact area of the waveguide deforms and causes the light to scatter. The scattered light is captured by a high resolution camera and saved as an image. Using the salient features of the captured image, we estimated inclusion characteristics such as size, depth, and Young's modulus. To test the performance of the proposed system, we use a realistic tissue phantom with embedded stiff inclusions. The experimental results showed that the proposed system can detect inclusions and provide the relative values of inclusion's mechanical properties. Using these relative values, we can discern malignant and benign tumors.
机译:表征和定位表面下肿瘤将大大增强乳腺癌的检测和治疗。在本文中,设计,实现和测试了一种新颖的触觉成像系统,该系统能够检测和表征地下物体。已经制造了多层聚二甲基硅氧烷光波导作为感测探针。在接受角以下照射光,以在柔性和透明波导内全反射。当波导被外力压缩时,波导的接触区域变形并导致光散射。散射光被高分辨率相机捕获并保存为图像。利用捕获图像的显着特征,我们估算了包含特征,例如大小,深度和杨氏模量。为了测试所提出系统的性能,我们使用了带有嵌入的刚性包裹体的逼真的组织模型。实验结果表明,该系统可以检测夹杂物并提供夹杂物力学性能的相对值。使用这些相对值,我们可以分辨出恶性和良性肿瘤。

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