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In vivo hemoglobin and water concentrations, oxygen saturation, and scattering estimates from near-infrared breast tomography using spectral reconstruction.

机译:体内血红蛋白和水的浓度,氧饱和度以及使用光谱重建技术从近红外乳腺断层扫描获得的散射估计值。

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RATIONALE AND OBJECTIVES: Near-infrared (NIR) imaging has its niche in quantifying and characterizing functional changes in tissue relating to vascularity and metabolic status. Here, NIR tomography was applied to study mammographically normal breast tissue in vivo by evaluating relationships between functional parameters so obtained to clinical representers in an effort to understand factors influencing tissue compositional changes. MATERIALS AND METHODS: A new spectral reconstruction method that is considered to provide the most accurate estimates of hemoglobin level, oxygen saturation, water fraction, scattering power, and amplitude was used to assess healthy breast tissue imaged in vivo by means of NIR tomography. The approach directly recovers functional parameters with inherent inclusion of spectral behavior enforced through the incorporation of a priori model assumptions. Sixty subjects were imaged by using a frequency-domain instrument followed by spectral image reconstruction and statistical analysis for significant correlations. RESULTS: The new analysis shows statistically significant inverse correlations between body mass index and breast total hemoglobin and water fractions. Water fraction also correlated inversely with age and separated certain categories of breast density. Average scatter power was indicative of breast radiographic density composition, whereas scatter amplitude varied inversely with breast diameter. Total hemoglobin correlated with water fraction, whereas water correlated with scatter power. CONCLUSION: The changes observed here are attributable to volume fraction alterations and provide some of the most comprehensive data on breast composition variations with demographic factors.
机译:理由和目的:近红外(NIR)成像技术在量化和表征与血管和代谢状态有关的组织功能变化方面具有优势。在这里,近红外层析成像技术被用于通过评估如此获得的临床代表的功能参数之间的关系来研究体内乳房X线摄影正常的乳腺组织,从而了解影响组织组成变化的因素。材料和方法:一种新的光谱重建方法被认为可以提供最准确的血红蛋白水平,氧饱和度,水含量,散射功率和振幅估计值,用于评估近红外成像在体内成像的健康乳腺组织。该方法直接恢复功能参数,并固有地包含通过合并先验模型假设而强制执行的频谱行为。通过使用频域仪器对60位受试者进行成像,然后进行光谱图像重建和统计分析以建立显着相关性。结果:这项新的分析显示出体重指数与乳房总血红蛋白和水含量之间的统计学显着负相关。水份也与年龄成反比,并分离出某些类别的乳房密度。平均散射功率指示乳房X线照相密度的组成,而散射幅度与乳房直径成反比。总血红蛋白与水分数相关,而水与散射功率相关。结论:这里观察到的变化归因于体积分数的变化,并提供了一些最全面的数据,包括人口因素对乳房成分的影响。

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