Identifying Benign and Malignant Breast Tumor Using Vibro-acoustic Tactile Imaging Sensor
Identifying Benign and Malignant Breast Tumor Using Vibro-acoustic Tactile Imaging Sensor
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DOI：
10.1109/sensors52175.2022.9967083
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发表时间：
2022-10
期刊：
影响因子：
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通讯作者：
Nazia Rahman;Chang-Hee Won
中科院分区：
文献类型：
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作者：
Nazia Rahman;Chang-Hee Won
触觉成像传感器根据光的全内反射原理确定肿瘤的大小、深度、杨氏模量等力学特性。为了提高触觉成像传感器的分类精度，我们引入了超声信号并估计了肿瘤触觉图像的差异。研制的振动声触觉成像传感器用于肿瘤的良恶性分类。我们对开发的系统进行了乳腺肿瘤幻影的测试。对这些振动触觉图像进行分析，以提高肿瘤检测的整体性能。
Tactile imaging sensor determines the tumor's mechanical properties such as size, depth, and Young's modulus based on the principle of total internal reflection of light. To improve the classifying accuracy of the Tactile imaging sensor, we introduce ultrasound signals and estimate the difference in the tumor tactile images. A developed vibro-acoustic tactile imaging sensor was used to classify benign and malignant tumors. We test the developed system on breast tumor phantoms. These vibrated tactile images are analyzed to improve the overall performance of tumor detection.