• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Physics of Medical Imaging pt.3; Progress in Biomedical Optics and Imaging; vol.7 no.28 >Spectral imaging of near-surface oxygen saturation
【24h】

Spectral imaging of near-surface oxygen saturation

机译：近表面氧饱和度的光谱成像

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

A number of non invasive methods have been developed to characterize parameters in near-surface skin tissue; however, the work has usually been concerned with using either spectral or spatial information. This motivated our study in which both spatial and spectral data are used to extract features for characterizing the spatial distribution of near-surface oxygen saturation. This paper addresses combined physical and statistical models to retrieve the ratio of oxy- and deoxy-hemoglobin in tissues from data collected by an imaging spectrometer. To retrieve the oxygen saturation fraction from the data, algorithms from the literature using two or three wavelengths were compared to our new algorithm using the many more wavelengths (25 to 60) available in imaging spectrometer data, and noise reduction achieved through principal component transformations. In addition to the analysis of experimental spectral imagery, an oxygen saturation phantom of size 128x128 pixels was simulated. In the forward process, a reflectance image was constructed from an assumed oxygen saturation map and the absorption coefficients of oxy-hemoglobin, deoxy-hemoglobin, melanin and other chromophores. The reflectance data have 60 bands spanning 400 nm to 990 nm with 10 nm intervals in the spectral dimension. Varying amounts of white Gaussian noise was added to the reflectance data to simulate measurement errors in an actual experiment. In the backward process, an oxygen saturation image was reconstructed by applying the algorithm to study the effect of measurement error on the retrieved saturation fraction. The resultant images were evaluated by their mean squared error.
机译：已经开发出了许多非侵入性方法来表征近表面皮肤组织中的参数。但是，这项工作通常与使用光谱或空间信息有关。这激发了我们的研究，其中使用空间和光谱数据提取特征以表征近地表氧饱和度的空间分布。本文讨论了组合的物理和统计模型，以从成像光谱仪收集的数据中检索组织中的氧合血红蛋白和脱氧血红蛋白的比例。为了从数据中检索氧饱和度分数，将文献中使用两个或三个波长的算法与我们的新算法进行了比较，该算法使用了成像光谱仪数据中可用的更多波长（25至60），并且通过主成分变换实现了降噪。除了分析实验光谱图像外，还模拟了大小为128x128像素的氧饱和度模型。在正向过程中，从假定的氧饱和度图以及氧合血红蛋白，脱氧血红蛋白，黑色素和其他生色团的吸收系数构建反射率图像。反射率数据有60个波段，范围在400 nm至990 nm之间，光谱范围的间隔为10 nm。将各种量的高斯白噪声添加到反射率数据中，以模拟实际实验中的测量误差。在向后的过程中，通过应用算法来重建氧饱和度图像，以研究测量误差对检索到的饱和度分数的影响。通过其均方误差评估所得图像。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号