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基于时分辨三维蒙特卡罗模拟的扩散光学成像辅助乳腺肿瘤研究:一项可行性研究。

Diffuser-aided diffuse optical imaging for breast tumor: a feasibility study based on time-resolved three-dimensional Monte Carlo modeling.

机构信息

Institute of Biomedical Engineering, National Taiwan University, Taipei 10617, Taiwan.

出版信息

IEEE Trans Biomed Eng. 2012 May;59(5):1454-61. doi: 10.1109/TBME.2012.2187900. Epub 2012 Mar 1.

DOI:10.1109/TBME.2012.2187900
PMID:22394571
Abstract

This study proposed diffuser-aided diffuse optical imaging (DADOI) as a new approach to improve the performance of the conventional diffuse optical tomography (DOT) approach for breast imaging. The 3-D breast model for Monte Carlo simulation is remodeled from clinical MRI image. The modified Beer-Lambert's law is adopted with the DADOI approach to substitute the complex algorithms of inverse problem for mapping of spatial distribution, and the depth information is obtained based on the time-of-flight estimation. The simulation results demonstrate that the time-resolved Monte Carlo method can be capable of performing source-detector separations analysis. The dynamics of photon migration with various source-detector separations are analyzed for the characterization of breast tissue and estimation of optode arrangement. The source-detector separations should be less than 4 cm for breast imaging in DOT system. Meanwhile, the feasibility of DADOI was manifested in this study. In the results, DADOI approach can provide better imaging contrast and faster imaging than conventional DOT measurement. The DADOI approach possesses great potential to detect the breast tumor in early stage and chemotherapy monitoring that implies a good feasibility for clinical application.

摘要

本研究提出了扩散器辅助漫射光学成像(DADOI)作为一种新方法,以提高传统漫射光学断层扫描(DOT)方法在乳房成像方面的性能。蒙特卡罗模拟的 3D 乳房模型是从临床 MRI 图像重建的。采用修正的 Beer-Lambert 定律与 DADOI 方法相结合,替代了用于映射空间分布的反问题的复杂算法,并基于飞行时间估计获得深度信息。模拟结果表明,时分辨蒙特卡罗方法能够进行源-探测器分离分析。分析了具有不同源-探测器分离的光子迁移动力学,以表征乳房组织并估计光极排列。对于 DOT 系统中的乳房成像,源-探测器分离应小于 4cm。同时,本研究也证明了 DADOI 的可行性。结果表明,与传统 DOT 测量相比,DADOI 方法可以提供更好的成像对比度和更快的成像速度。DADOI 方法在早期检测乳房肿瘤和化疗监测方面具有很大的潜力,这意味着它具有很好的临床应用可行性。

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