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

Autor:	Sun, Yankui, Zhang, Tian
Rok vydání:	2012
Předmět:	Computer Science - Computer Vision and Pattern Recognition Physics - Optics
Zdroj:	China Patent Application (201110247341.5), 2011
Druh dokumentu:	Working Paper
Popis:	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 both 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. Comment: 4 pages, 9 figures
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1204.6385 Zobrazit plný text záznamu View this record from Arxiv