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Combined Optical Imaging and Mammography of the Healthy Breast: Optical Contrast Derived From Breast Structure and Compression

机译:健康乳房的光学成像和乳腺X射线摄影相结合:源自乳房结构和压迫的光学对比

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摘要

In this paper, we report new progress in developing the instrument and software platform of a combined X-ray mammography/diffuse optical breast imaging system. Particularly, we focus on system validation using a series of balloon phantom experiments and the optical image analysis of 49 healthy patients. Using the finite-element method for forward modeling and a regularized Gauss-Newton method for parameter reconstruction, we recovered the inclusions inside the phantom and the hemoglobin images of the human breasts. An enhanced coupling coefficient estimation scheme was also incorporated to improve the accuracy and robustness of the reconstructions. The recovered average total hemoglobin concentration (HbT) and oxygen saturation (SO2) from 68 breast measurements are 16.2 μm and 71%, respectively, where the HbT presents a linear trend with breast density. The low HbT value compared to literature is likely due to the associated mammographic compression. From the spatially co-registered optical/X-ray images, we can identify the chest-wall muscle, fatty tissue, and fibroglandular regions with an average HbT of 20.1±6.1 μm for fibroglandular tissue, 15.4±5.0 μm for adipose, and 22.2±7.3 μm for muscle tissue. The differences between fibroglandular tissue and the corresponding adipose tissue are significant (p < 0.0001). At the same time, we recognize that the optical images are influenced, to a certain extent, by mammographical compression. The optical images from a subset of patients show composite features from both tissue structure and pressure distribution. We present mechanical simulations which further confirm this hypothesis.
机译:在本文中,我们报告了开发结合X线乳房X线摄影/乳腺光学成像系统的仪器和软件平台的新进展。特别是,我们专注于使用一系列气球体模实验和49位健康患者的光学图像分析进行系统验证。使用有限元方法进行正向建模,并使用正则化的Gauss-Newton方法进行参数重建,我们恢复了人体乳房的幻影和血红蛋白图像中的内含物。还结合了增强的耦合系数估计方案,以提高重建的准确性和鲁棒性。从68次乳房测量中得出的平均总血红蛋白浓度(HbT)和氧饱和度(SO2)分别为16.2μm和71%,其中HbT与乳房密度呈线性趋势。与文献相比,较低的HbT值可能是由于相关的乳房X线照片压缩所致。从空间共配准的光学/ X射线图像中,我们可以识别出胸壁肌肉,脂肪组织和纤维腺区域,纤维腺组织的平均HbT为20.1±6.1μm,脂肪为15.4±5.0μm,平均为22.2肌肉组织为±7.3μm。纤维腺组织与相应的脂肪组织之间的差异是显着的(p <0.0001)。同时,我们认识到光学图像在一定程度上受到乳腺X线摄影压缩的影响。来自一部分患者的光学图像显示了来自组织结构和压力分布的复合特征。我们提出了机械仿真,进一步证实了这一假设。

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