Fabritius Tapio, Makita Shuichi, Hong Yongjoo, Myllylä Risto, Yasuno Yoshiaki
University of Tsukuba, Computational Optics Group, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573 Japan.
J Biomed Opt. 2009 Jan-Feb;14(1):010503. doi: 10.1117/1.3076204.
We present an automated numerical method of compensating for retinal shadows in the choroid. In this method, signal extinction caused by retinal vessels is estimated by subtracting median A-scans obtained from beneath the retinal vessels and A-scans from the surrounding area. Adding the obtained offset vector to A-scans from beneath the retinal vessels allows compensating for shadows in the choroid. In vivo imaging of the human eye was performed by 840-nm-band standard resolution spectral domain optical coherence tomography (SD-OCT), and choroidal vasculature projection images were calculated. Removal of retinal shadows distinctly improved the readability of choroidal images.
我们提出了一种自动数值方法来补偿脉络膜中的视网膜阴影。在该方法中,通过减去从视网膜血管下方获得的中值A扫描和来自周围区域的A扫描来估计由视网膜血管引起的信号衰减。将获得的偏移向量添加到视网膜血管下方的A扫描中,可以补偿脉络膜中的阴影。使用840纳米波段的标准分辨率光谱域光学相干断层扫描(SD-OCT)对人眼进行体内成像,并计算脉络膜血管投影图像。去除视网膜阴影显著提高了脉络膜图像的可读性。