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Near-infrared spectral tomography integrated with digital breast tomosynthesis: Effects of tissue scattering on optical data acquisition design

机译:近红外光谱层析成像与数字乳腺断层合成相结合:组织散射对光学数据采集设计的影响

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摘要

>Purpose: Design optimization and phantom validation of an integrated digital breast tomosynthesis (DBT) and near-infrared spectral tomography (NIRST) system targeting improvement in sensitivity and specificity of breast cancer detection is presented. Factors affecting instrumentation design include minimization of cost, complexity, and examination time while maintaining high fidelity NIRST measurements with sufficient information to recover accurate optical property maps.>Methods: Reconstructed DBT slices from eight patients with abnormal mammograms provided anatomical information for the NIRST simulations. A limited frequency domain (FD) and extensive continuous wave (CW) NIRST system was modeled. The FD components provided tissue scattering estimations used in the reconstruction of the CW data. Scattering estimates were perturbed to study the effects on hemoglobin recovery. Breast mimicking agar phantoms with inclusions were imaged using the combined DBT/NIRST system for comparison with simulation results.>Results: Patient simulations derived from DBT images show successful reconstruction of both normal and malignant lesions in the breast. They also demonstrate the importance of accurately quantifying tissue scattering. Specifically, 20% errors in optical scattering resulted in 22.6% or 35.1% error in quantification of total hemoglobin concentrations, depending on whether scattering was over- or underestimated, respectively. Limited frequency-domain optical signal sampling provided two regions scattering estimates (for fat and fibroglandular tissues) that led to hemoglobin concentrations that reduced the error in the tumor region by 31% relative to when a single estimate of optical scattering was used throughout the breast volume of interest. Acquiring frequency-domain data with six wavelengths instead of three did not significantly improve the hemoglobin concentration estimates. Simulation results were confirmed through experiments in two-region breast mimicking gelatin phantoms.>Conclusions: Accurate characterization of scattering is necessary for quantification of hemoglobin. Based on this study, a system design is described to optimally combine breast tomosynthesis with NIRST.
机译:>目的:提出了针对乳腺癌检测灵敏度和特异性的改进的集成数字乳腺断层合成(DBT)和近红外光谱层析成像(NIRST)系统的设计优化和幻像验证。影响仪器设计的因素包括最小化成本,复杂性和检查时间,同时保持高保真NIRST测量并提供足够的信息以恢复准确的光学特性图。>方法:从八名乳房X线照片异常的患者中重建DBT切片可提供解剖学信息有关NIRST模拟的信息。对有限频域(FD)和大范围连续波(CW)NIRST系统进行了建模。 FD组件提供了在CW数据重建中使用的组织散射估计。分散估计值被干扰以研究对血红蛋白恢复的影响。使用组合的DBT / NIRST系统对带有包涵体的模仿琼脂幻影的乳房进行成像,以与仿真结果进行比较。他们还证明了准确定量组织散射的重要性。具体而言,光学散射的20%误差导致总血红蛋白浓度定量误差分别为22.6%或35.1%,具体取决于散射是被高估还是被低估了。有限的频域光信号采样提供了两个区域的散射估计(针对脂肪和纤维腺组织),导致血红蛋白浓度相对于整个乳房体积使用单个光学散射估计时的血红蛋白浓度使肿瘤区域的误差降低了31%出于兴趣。用六个波长而不是三个波长获取频域数据并不能显着改善血红蛋白浓度估计值。通过在两个区域模拟明胶模型的乳房中进行的实验证实了模拟结果。>结论:散射的准确表征对于定量血红蛋白是必需的。基于这项研究,描述了一种系统设计,可以最佳地结合乳房断层融合与NIRST。

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