Department of Biomedical Engineering, Kyung Hee University, South Korea.
Comput Biol Med. 2011 Mar;41(3):123-30. doi: 10.1016/j.compbiomed.2011.01.001. Epub 2011 Jan 28.
Strain distribution in compressed tissues gives information about elasticity of the tissues. We have measured strain from two sets of 3D micro-CT images of a breast-mimicking phantom; one obtained without compressing the phantom and the other with compressing it. To measure strain, we first calculated compression-induced displacements of high-intensity feature patterns in the image. In measuring displacement of a pixel of interest, we searched the pixel in the compressed-phantom image, whose surrounding resembles the uncompressed-phantom image most closely, using the image correlation technique. From the displacement data, we calculated average strain at a region of interest. With the calculated average strains, we could distinguish the hard inclusion in the phantom which was not distinguishable from the background body of the phantom in the ordinary micro-CT images. The calculated strains account for stiffness of the tissue of interest, one of the important parameters for diagnosing malignant tissues. We present experimental results of the displacement and strain measurement along with FEM analysis results.
应变分布在压缩组织中提供了关于组织弹性的信息。我们已经从一组乳房模拟体的两组 3D 微 CT 图像中测量了应变;一组是在不压缩幻影的情况下获得的,另一组是在压缩的情况下获得的。为了测量应变,我们首先计算了图像中高强度特征图案的压缩引起的位移。在测量感兴趣像素的位移时,我们使用图像相关技术在压缩幻影图像中搜索最接近未压缩幻影图像的像素。从位移数据中,我们计算了感兴趣区域的平均应变。通过计算得到的平均应变,我们可以区分出在普通微 CT 图像中与幻影背景无法区分的幻影中的硬夹杂物。计算出的应变反映了感兴趣组织的刚度,这是诊断恶性组织的重要参数之一。我们展示了沿 FE M 分析结果的位移和应变测量的实验结果。