Boas David A, Dale Anders M, Franceschini Maria Angela
Anthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA.
Neuroimage. 2004;23 Suppl 1:S275-88. doi: 10.1016/j.neuroimage.2004.07.011.
Near-infrared spectroscopy (NIRS) and diffuse optical imaging (DOI) are finding widespread application in the study of human brain activation, motivating further application-specific development of the technology. NIRS and DOI offer the potential to quantify changes in deoxyhemoglobin (HbR) and total hemoglobin (HbT) concentration, thus enabling distinction of oxygen consumption and blood flow changes during brain activation. While the techniques implemented presently provide important results for cognition and the neurosciences through their relative measures of HbR and HbT concentrations, there is much to be done to improve sensitivity, accuracy, and resolution. In this paper, we review the advances currently being made and issues to consider for improving optical image quality. These include the optimal selection of wavelengths to minimize random and systematic error propagation in the calculation of the hemoglobin concentrations, the filtering of systemic physiological signal clutter to improve sensitivity to the hemodynamic response to brain activation, the implementation of overlapping measurements to improve image spatial resolution and uniformity, and the utilization of spatial prior information from structural and functional MRI to reduce DOI partial volume error and improve image quantitative accuracy.
近红外光谱技术(NIRS)和扩散光学成像(DOI)在人类大脑激活研究中得到了广泛应用,这推动了该技术针对特定应用的进一步发展。NIRS和DOI能够量化脱氧血红蛋白(HbR)和总血红蛋白(HbT)浓度的变化,从而在大脑激活过程中区分氧消耗和血流变化。虽然目前实施的技术通过其对HbR和HbT浓度的相对测量为认知和神经科学提供了重要结果,但在提高灵敏度、准确性和分辨率方面仍有许多工作要做。在本文中,我们回顾了当前取得的进展以及为提高光学图像质量需要考虑的问题。这些问题包括优化波长选择,以尽量减少血红蛋白浓度计算中的随机和系统误差传播;过滤系统性生理信号杂波,以提高对大脑激活的血流动力学反应的灵敏度;实施重叠测量以提高图像空间分辨率和均匀性;以及利用来自结构和功能磁共振成像的空间先验信息,以减少DOI部分容积误差并提高图像定量准确性。