Choe Tae Eun, Cohen Isaac, Medioni Gerard, Walsh Alexander C, Sadda SriniVas R
IRIS, University of Southern California 3737 Watt way, Los Angeles, CA, 90248, USA.
Med Image Comput Comput Assist Interv. 2006;9(Pt 1):134-41. doi: 10.1007/11866565_17.
We present a method for the 3-D shape reconstruction of the retinal fundus from stereo paired images. Detection of retinal elevation plays a critical role in the diagnosis and management of many retinal diseases. However, since the shape of ocular fundus is nearly planar, its 3-D depth range is very narrow. Therefore, we use the location of vascular bifurcations and a plane+parallax approach to provide a robust estimation of the epipolar geometry. Matching is then performed using a mutual information algorithm for accurate estimation of the disparity maps. To validate our results, in the absence of camera calibration, we compared the results with measurements from the current clinical gold standard, optical coherence tomography (OCT).
我们提出了一种从立体配对图像重建视网膜眼底三维形状的方法。视网膜隆起的检测在许多视网膜疾病的诊断和管理中起着关键作用。然而，由于眼底形状几乎是平面的，其三维深度范围非常窄。因此，我们利用血管分支的位置和平面+视差方法来提供对极几何的稳健估计。然后使用互信息算法进行匹配，以准确估计视差图。为了验证我们的结果，在没有相机校准的情况下，我们将结果与当前临床金标准光学相干断层扫描（OCT）的测量结果进行了比较。
