A 3D Segmentation Method for Retinal Optical Coherence Tomography Volume Data [article]

Yankui Sun, Tian Zhang
2012 arXiv   pre-print
With the introduction of spectral-domain optical coherence tomography (OCT), much larger image datasets are routinely acquired compared to what was possible using the previous generation of time-domain OCT. Thus, the need for 3-D segmentation methods for processing such data is becoming increasingly important. We present a new 3D segmentation method for retinal OCT volume data, which generates an enhanced volume data by using pixel intensity, boundary position information, intensity changes on
more » ... oth sides of the border simultaneously, and preliminary discrete boundary points are found from all A-Scans and then the smoothed boundary surface can be obtained after removing a small quantity of error points. Our experiments show that this method is efficient, accurate and robust.
arXiv:1204.6385v1 fatcat:h2zz57bwmbdihkkx5hdynpu66u