Breast cancer diagnosis has been mostly accomplished through imaging. These methods have great advantages in being able to detect the presence and location of breast cancer. However, it is difficult to distinguish between a benign and malignant tumor located in a deep position because both tumor types look similar. In this paper, tissue including the tumor from skin was vibrated using a compression cylinder, to analyze the frequency difference for distinguishing tissue type. Before distinguishing between a benign and malignant tumor, it is necessary to validate that the difference between normal tissue and tumor can be distinguished. The objective of the study is to validate the feasibility to emphasize the frequency differences in a 10.0 mm or greater deep tumors during vibration by pushing a cylinder towards the deep tumor. A phantom model and finite element analysis model were constructed to simulate the breast. In the experiment, air was injected into the phantom and the displacement was measured. The frequency response for distinction of tissue types was analyzed and it was found that the displacement difference rate was over 50% at a frequency of 130 Hz when the cylinder was pushed into the sample as opposed to when not pushed in. Changes in displacement were measured according to the distance between the tumor and vibration point using finite element analysis. When the measurement and vibration points were on the center of the tumor, the difference in the resonance point was at its largest (5.5 Hz). Results show that the position of a tumor could be easily and rapidly detected by vibrations from a cylinder pushed into the diagnostic site.

中文翻译：

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带压缩气缸的振动肿瘤的增强频率分析

乳腺癌的诊断大部分是通过成像完成的。这些方法在能够检测乳腺癌的存在和位置方面具有很大的优势。然而，难以区分位于深处的良性和恶性肿瘤，因为两种肿瘤类型看起来相似。在本文中，使用压缩圆筒振动包括皮肤肿瘤在内的组织，以分析频率差异以区分组织类型。在区分良性和恶性肿瘤之前，有必要验证可以区分正常组织和肿瘤之间的差异。该研究的目的是通过将圆柱体推向深部肿瘤来验证在振动期间强调10.0 mm或更大深部肿瘤的频率差异的可行性。建立了幻影模型和有限元分析模型来模拟乳房。在实验中，将空气注入模型中并测量了位移。分析了用于区分组织类型的频率响应，发现在将圆柱体推入样品中时，与未推入时相比，在130 Hz的频率下，位移差异率超过50％。测量了位移的变化根据肿瘤与振动点之间的距离进行有限元分析。当测量点和振动点位于肿瘤中心时，共振点的差异最大（5.5 Hz）。结果表明，通过推入诊断部位的圆柱体的振动，可以轻松快速地检测出肿瘤的位置。