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Simulation of breast compression using a new biomechanical model

机译:新生物力学模型模拟乳房压缩

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Mammography is currently the primary imaging modality for breast cancer screening and plays an important role in cancer diagnostics. A standard mammographic image acquisition always includes the compression of the breast prior xray exposure. The breast is compressed between two plates (the image receptor and the compression paddle) until a nearly uniform breast thickness is obtained. The breast flattening improves diagnostic image quality~1 and reduces the absorbed dose~2. However, this technique can also be a source of discomfort and might deter some women from attending breast screening by mammography~3'~4. Therefore, the characterization of the pain perceived during breast compression is of potential interest to compare different compression approaches. The aim of this work is to develop simulation tools enabling the characterization of existing breast compression techniques in terms of patient comfort, dose delivered to the patient and resulting image quality. A 3D biomechanical model of the breast was developed providing physics-based predictions of tissue motion and internal stress and strain intensity. The internal stress and strain intensity are assumed to be directly correlated with the patient discomfort. The resulting compressed breast model is integrated in an image simulation framework to assess both image quality and average glandular dose. We present the results of compression simulations on two breast geometries, under different compression paddles (flex or rigid).
机译:乳房X线照相是目前乳腺癌筛查的主要成像模型,并在癌症诊断中发挥着重要作用。标准乳房X线图图像获取总是包括乳房的压缩先前X射线曝光。乳房在两个板(图像受体和压缩桨叶)之间被压缩,直到获得近似均匀的乳房厚度。乳房扁平化改善了诊断图像质量〜1并减少了吸收的剂量〜2。然而,这种技术也可以是一种不适的来源,可能会阻止一些女性通过乳房X线照相X〜3'〜4来参加乳房筛选。因此,乳房压缩期间感知的疼痛的表征是潜在的利益来比较不同的压缩方法。这项工作的目的是开发仿真工具,使患者舒适性的现有乳房压缩技术的表征能够表征,给予患者的剂量并导致图像质量。开发了一种乳房的3D生物力学模型,提供了基于物理的组织运动和内应力和应变强度的预测。假设内应力和应变强度与患者的不适直接相关。得到的压缩乳房模型集成在图像仿真框架中,以评估图像质量和平均腺剂量。我们在不同的压缩桨(弯曲或刚性)下,介绍了两个乳房几何形状的压缩模拟结果。

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