Title :
Forming projection images from each layer of retina using diffusion may based OCT segmentation
Author :
Jalili, J. ; Rabbani, Hossein ; Akhlaghi, Majid ; Kafieh, Raheleh ; Mehridehnavi, A.
Author_Institution :
Med. Image & Signal Process. Res. Center, Isfahan Univ. of Med. Sci., Isfahan, Iran
Abstract :
Optical coherence tomography (OCT) is an effective and noninvasive modality for retinal imaging. 3-D data that acquired from 3-D Spectral Domain OCT (SD-OCT) have shown their importance in the evaluation of retinal diseases. In addition, this set of data provides an opportunity to study depth of retina. In this paper, we focus on forming X-Y axis images from each layer of retina. In this manner, we first choose diffusion map based segmentation for localization of 12 different boundaries in 3D retinal data. Then we take an average on layers which located between each pairs of detected boundaries. Therefore, we make the X-Y axis image from each layer. With wavelet based image fusion, we combine together the layers with appropriate information to make images with additional information in retinal depth.
Keywords :
image fusion; image segmentation; medical image processing; optical tomography; wavelet transforms; 3D retinal data; 3D spectral domain OCT; SD-OCT; X-Y axis images; diffusion map based segmentation; effective modality; noninvasive modality; optical coherence tomography; projection images; retinal depth; retinal diseases evaluation; retinal imaging; wavelet based image fusion; Biomedical optical imaging; Image fusion; Image segmentation; Optical imaging; Retina; Wavelet transforms;
Conference_Titel :
Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4673-0381-1
Electronic_ISBN :
978-1-4673-0380-4
DOI :
10.1109/ISSPA.2012.6310688
