Optical imaging based on intrinsic signals is a novel technique for brain functional imaging, which can help researchers explore the brain function more effectively because of its high spatial resolution, simple structure and long-time in-vivo recording. However, the functional signals recorded by the optical imaging based on intrinsic signals are usually quite weak, it is very necessary to investigate appropriate image processing methods to improve the SNR. This article reviewed the research progress of the image processing methods in optical imaging based on intrinsic signals. After introducing the traditional image processing methods, we mainly introduced some novel image processing approaches including principal component analysis, independent component analysis, local similarity minimization, receiver operating characteristic curve and indicator function. It has been demonstrated that the novel image processing methods can effectively improve the image quality.%基于内源信号的脑功能光学成像是一种新兴的脑成像技术,它因空间分辨率高、可长时间在体记录、结构简单等特点,可以有效地帮助研究人员探索大脑功能.由于基于内源信号的脑功能光学成像信号易受呼吸、心跳、血管周期性搏动等的影响,信噪比很低,研究适用于光学成像的图像处理方法成为了研究热点.本文对基于内源信号脑功能光学成像的图像处理方法的研究现状进行了综述.在介绍传统图像处理方法的基础上,主要对主成分分析、独立成分分析、局部相似度最小化、活动区域反应特征曲线及指示函数法等新的图像处理算法进行详细介绍,分析其不同的应用场合、优缺点及旨在解决的问题.这些新的处理方法可以在传统方法的基础上得到更好的图像处理效果.
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