In ophthalmology, the needs of retina diagnosis using optical coherence tomography (OCT) have been growing and the automatic measurement of a retinal thickness and its quantitative evaluation are desired for the diagnosis of retinal diseases. Previously, the automatic measurement methods of the retinal thickness have been reported for retinal OCT im-ages. However, the conventional methods have a disadvantage that the methods extracted the retinal border lines intermit-tently for OCT images with any damages. In this paper, we propose a new automatic measurement method of a retinal thickness in OCT image. The method employs a new dynamic contour model (“One Directional Active Net (ODAN)”) to extract two retinal border lines, and the thickness is defined from Inner Limiting Membrane (ILM) to Retinal Pigment Epithelium (RPE). ODAN employs a new energy function to extract the retinal border lines exactly and the energy function moves all nodes of ODAN to one direction only to minimize the total energy repeatedly. The energy function consists of the conformity characteristics energy of image to fit a border and the internal strain energy between the two dimensional nodes to arrange smoothly the position of each node. We confirmed the usefulness of the ODAN by the experimental results for normal and retinal disease OCT images. The proposed method is useful as the basic method for the detection of retinal diseas-es.
雑誌名
Proceedings of the Second International Workshop on Regional Innovation Studies : (IWRIS2010)
号
2
ページ
75 - 78
発行年
2011-10-01
フォーマット
application/pdf
著者版フラグ
publisher
出版者
Graduate School of Regional Innovation Studies, Mie University
Extraction Method of Retinal Border Lines for Optical Coherence Tomography by Using One Directional Active Net
60C15240.pdf
(488.28KB)
