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人体乳腺肿瘤的非接触式扩散相关断层扫描

Noncontact diffuse correlation tomography of human breast tumor.

作者信息

He Lian, Lin Yu, Huang Chong, Irwin Daniel, Szabunio Margaret M, Yu Guoqiang

机构信息

University of Kentucky, Department of Biomedical Engineering, 143 Graham Avenue, Lexington, Kentucky 40506, United States.

University of Kentucky, Markey Cancer Center, Division of Women's Radiology, 800 Rose Street, Lexington, Kentucky 40536, United States.

出版信息

J Biomed Opt. 2015 Aug;20(8):86003. doi: 10.1117/1.JBO.20.8.086003.

Abstract

Our first step to adapt our recently developed noncontact diffuse correlation tomography (ncDCT) system for three-dimensional (3-D) imaging of blood flow distribution in human breast tumors is reported. A commercial 3-D camera was used to obtain breast surface geometry, which was then converted to a solid volume mesh. An ncDCT probe scanned over a region of interest on the mesh surface and the measured boundary data were combined with a finite element framework for 3-D image reconstruction of blood flow distribution. This technique was tested in computer simulations and in vivo human breasts with low-grade carcinoma. Results from computer simulations suggest that relatively high accuracy can be achieved when the entire tumor is within the sensitive region of diffuse light. Image reconstruction with a priori knowledge of the tumor volume and location can significantly improve the accuracy in recovery of tumor blood flow contrasts. In vivo imaging results from two breast carcinomas show higher average blood flow contrasts (5.9- and 10.9-fold) in the tumor regions compared to the surrounding tissues, which are comparable with previous findings using diffuse correlation spectroscopy. The ncDCT system has the potential to image blood flow distributions in soft and vulnerable tissues without distorting tissue hemodynamics

摘要

我们报道了将我们最近开发的非接触式扩散相关断层扫描(ncDCT)系统应用于人体乳腺肿瘤血流分布三维(3-D)成像的第一步。使用商用3-D相机获取乳房表面几何形状,然后将其转换为实体体积网格。ncDCT探头在网格表面的感兴趣区域上进行扫描,并将测量的边界数据与有限元框架相结合,用于血流分布的3-D图像重建。该技术在计算机模拟和患有低级别癌的人体乳房中进行了测试。计算机模拟结果表明,当整个肿瘤位于漫射光的敏感区域内时,可以实现相对较高的精度。利用肿瘤体积和位置的先验知识进行图像重建可以显著提高肿瘤血流对比度恢复的准确性。来自两个乳腺癌的体内成像结果显示,与周围组织相比,肿瘤区域的平均血流对比度更高(分别为5.9倍和10.9倍),这与之前使用扩散相关光谱法的研究结果相当。ncDCT系统有潜力对柔软且脆弱组织中的血流分布进行成像,而不会扭曲组织血流动力学。

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