Tissue stiffness from tactile imaging
Tissue stiffness from tactile imaging
复制标题
触觉成像的组织硬度
DOI：
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
R. Howe
中科院分区：
文献类型：
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作者：
A. Galea;R. Howe
触觉成像使用被动压力敏感传感器来记录其表面上的反应压力分布。当压入并扫描感兴趣的组织时，它会生成取决于组织内结构的机械特性和几何分布的图像。由于病理学与组织硬度有关，硬度测量将非常有助于深入了解疾病过程并有助于诊断。我们已经开发出一种算法，它可以反转触觉图像并确定底层组织的显著特征。感兴趣的特征是背景组织的硬度和深度以及圆形夹杂物的硬度和尺寸。为了模拟触觉成像过程，建立了一个有限元模型。分析是在实验确定的材料特性范围内的模型上进行的。通过分析每个压力帧并在压力帧和模型特征之间执行最小二乘拟合，我们能够确定逆关系以从触觉帧提取组织刚度。
Tactile imaging uses a passive pressure sensitive sensor to record the reaction pressure distribution on its surface. When pressed into and scanned over tissue of interest, it generates an image that is dependent on the mechanical properties and geometric distribution of the structures within the tissue. Since pathology is related to tissue stiffness, stiffness measurement would be of great use to provide insight into disease processes and an aid to diagnosis. We have developed an algorithm that inverts the tactile image and determines the salient features of the underlying tissue. The features of interest are the stiffness and depth of the background tissue and the stiffness and size of a round inclusion. A finite element model was constructed in order to simulate the tactile imaging process. The analysis was performed on models spanning an experimentally determined range of material properties. By analyzing each pressure frame and performing a least-squares fit between the pressure frames and the model features we were able to determine an inverse relationship to extract tissue stiffness from tactile frames.