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Time-Frequency Analysis of Functional Optical Mammographic Images

机译:功能性乳腺X射线摄影图像的时频分析

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We have introduced working technology that provides for time-series imaging of the hemoglobin signal in large tissue structures. In this study we have explored our ability to detect aberrant time-frequency responses of breast vasculature in subjects with Stage II breast cancer, at rest and in response to simple provocations. The hypothesis being explored is that time-series imaging will be sensitive to the known structural and functional malformations of the tumor vasculature. Mammographic studies were conducted using an adjustable hemispheric measuring head containing 21 source and 21 detector locations (for 441 source-detector channels). Simultaneous dual-wavelength (760 and 830 nm) studies were performed on women lying prone with the breast hanging in a pendant position. Two classes of measure were performed: 1) 20-minute baseline measurements wherein the subject was at rest; 2) provocation studies wherein the subject was asked to perform some simple breathing maneuvers. Collected data were analyzed to identify the central tendencies and time-frequency structure of the detector responses, and those of the image time series. Image data were generated using the Normalized Difference Method [Pei et al, Appl. Opt. 40, 5755-5769 (2001)]. Results obtained clearly document three classes of dynamic anomaly in the tumor-bearing breast relative to the healthy contralateral breast. First, breast tumors exhibit oxygen supply/demand imbalance in response to an oxidative challenge (breath hold). Second, the vasomotor response of the tumor vasculature is mainly depressed and exhibits an altered modulation. Third, the region of the breast wherein the altered vasomotor signature is seen extends well beyond the margins of the tumor itself.
机译:我们已经介绍了可在大型组织结构中对血红蛋白信号进行时间序列成像的工作技术。在这项研究中,我们探索了在静止期和对简单挑衅的反应中检测II期乳腺癌患者乳腺脉管系统异常时频响应的能力。正在探索的假设是时间序列成像将对肿瘤脉管系统的已知结构和功能畸形敏感。使用可调节的半球测量头进行乳房X线检查,该测量头包含21个源和21个检测器位置(用于441个源-检测器通道)。对俯卧且乳房垂悬在悬吊位置的妇女进行了双波长(760和830 nm)同时研究。进行了两类测量:1)20分钟基线测量,其中受试者处于静止状态; 2)挑衅研究,其中要求受试者进行一些简单的呼吸动作。分析收集的数据以识别检测器响应以及图像时间序列的中心趋势和时频结构。使用归一化差方法[Pei等,Appl.Chem。选择。 40,5755-5769(2001)]。相对于健康的对侧乳房,获得的结果清楚地证明了荷瘤乳房中的三类动态异常。首先,乳腺肿瘤表现出对氧化挑战(屏气)的供氧/需求不平衡。其次,肿瘤脉管系统的血管舒缩反应主要被抑制并且表现出改变的调节。第三,看到血管舒缩签名改变的乳房区域远远超出了肿瘤本身的边缘。

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