Lu Yiming, Wang Ruikang K
Department of Bioengineering, University of Washington, Seattle, Washington, USA.
J Biophotonics. 2022 Jan;15(1):e202100294. doi: 10.1002/jbio.202100294. Epub 2021 Dec 2.
Laser speckle flowgraphy (LSFG) has been widely used in the investigation of blood flows in ophthalmology. However, the dynamic changes of the ocular optics can impose artificial contrasts to the LSFG, corrupting the detection of both retinal vasculature and blood pulsation at the posterior segment of the human eye. In this study, we propose to use Eigen-decomposition method to separate the spatially and temporally varying speckle patterns from the static tissues. Spatial filtering is further applied to remove the distortion-correlated modulation of the speckle patterns. We experimentally show that with the proposed method, the integrity of blood vessels is significantly improved and the distortions in pulse waveforms can be well corrected.
激光散斑血流图(LSFG)已广泛应用于眼科血流研究。然而,眼屈光系统的动态变化会给LSFG带来人为对比度,影响人眼后段视网膜血管系统和血流脉动的检测。在本研究中,我们提出使用特征分解方法从静态组织中分离出随空间和时间变化的散斑图案。进一步应用空间滤波来消除散斑图案的失真相关调制。我们通过实验表明,使用所提出的方法,血管的完整性得到显著改善,脉搏波形中的失真可以得到很好的校正。