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An innovative software for data analysis of the intrinsic signals of optical imaging

机译:用于光学成像内在信号数据分析的创新软件

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A problem confounding optical imaging technique based on intrinsic signals is the fact that the recorded data contain not only the hemodynamic signal due to the presentation of given sensory stimulation but also several artifacts from respiration, heartbeat, etc. The ultimate goal of analyzing these data sets is to separate the signal that is spatially and temporally specific to a stimulus from more global, non-specific, hemodynamic response(s), and other imaging artifacts. Therefore, pre-processing steps and analysis algorithms are crucial to increase the quality of the data sets. Special software package such as SPM has been designed for the analysis of brain imaging data sequences of fMRI, however, there is no an applicable software package or tools for the analysis of intrinsic optical imaging data sequences. Software based on Matlab has been developed for the analysis of optical imaging based on intrinsic signal data in this paper. Combining with present preprocessing and analyzing methods, the software can effectively isolate the intrinsic signal of optic imaging from the artifacts of different sources, and facilitate researchers analyze intrinsic optical imaging experimental data conveniently.
机译:混淆基于固有信号的光学成像技术的一个问题是,记录的数据不仅包含由于给定的感觉刺激而引起的血液动力学信号,而且还包含来自呼吸,心跳等的一些伪像。分析这些数据集的最终目标将对刺激在空间和时间上特定的信号与更全局的,非特定的,血流动力学响应和其他成像伪影分开。因此,预处理步骤和分析算法对于提高数据集的质量至关重要。已经设计了特殊的软件包(例如SPM)来分析fMRI的大脑成像数据序列,但是,没有适用的软件包或工具来分析内在的光学成像数据序列。本文开发了基于Matlab的软件,用于基于固有信号数据的光学成像分析。结合现有的预处理和分析方法,该软件可以有效地将光学成像的内在信号与不同来源的伪像隔离开来,并方便研究人员方便地分析光学成像的内在实验数据。

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