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利用边界元法对活体乳腺组织进行图像引导的近红外光谱研究。

Image guided near-infrared spectroscopy of breast tissue in vivo using boundary element method.

机构信息

Dartmouth College, Thayer School of Engineering, Hanover, NH 03755, USA.

出版信息

J Biomed Opt. 2010 Nov-Dec;15(6):061703. doi: 10.1117/1.3499419.

Abstract

We demonstrate quantitative functional imaging using image-guided near-infrared spectroscopy (IG-NIRS) implemented with the boundary element method (BEM) for reconstructing 3-D optical property estimates in breast tissue in vivo. A multimodality MRI-NIR system was used to collect measurements of light reflectance from breast tissue. The BEM was used to model light propagation in 3-D based only on surface discretization in order to reconstruct quantitative values of total hemoglobin (HbT), oxygen saturation, water, and scatter. The technique was validated in experimental measurements from heterogeneous breast-shaped phantoms with known values and applied to a total of seven subjects comprising six healthy individuals and one participant with cancer imaged at two time points during neoadjuvant chemotherapy. Using experimental measurements from a heterogeneous breast phantom, BEM for IG-NIRS produced accurate values for HbT in the inclusion with a <3% error. Healthy breast tissues showed higher HbT and water in fibroglandular tissue than in adipose tissue. In a subject with cancer, the tumor showed higher HbT compared to the background. HbT in the tumor was reduced by 9 μM during treatment. We conclude that 3-D MRI-NIRS with BEM provides quantitative and functional characterization of breast tissue in vivo through measurement of hemoglobin content. The method provides potentially complementary information to DCE-MRI for tumor characterization.

摘要

我们展示了使用基于边界元法(BEM)的图像引导近红外光谱(IG-NIRS)进行定量功能成像,以重建体内乳腺组织的 3D 光物理性质估计。多模态 MRI-NIR 系统用于收集乳腺组织光反射的测量值。BEM 仅基于表面离散化来模拟光在 3D 中的传播,以便重建总血红蛋白(HbT)、氧饱和度、水和散射的定量值。该技术在具有已知值的异质乳腺形状体模的实验测量中得到了验证,并应用于总共 7 名受试者,包括 6 名健康个体和 1 名在新辅助化疗期间两个时间点进行成像的癌症患者。使用异质乳腺体模的实验测量结果,IG-NIRS 的 BEM 为包含物中的 HbT 提供了准确的 <3%误差值。健康乳腺组织中的纤维腺体组织比脂肪组织具有更高的 HbT 和水。在患有癌症的患者中,肿瘤的 HbT 高于背景。治疗期间肿瘤中的 HbT 降低了 9 μM。我们得出结论,3D MRI-NIRS 与 BEM 结合使用,通过测量血红蛋白含量,对体内乳腺组织进行定量和功能表征。该方法为肿瘤特征提供了与 DCE-MRI 潜在互补的信息。

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