TY - GEN
T1 - Segmentation of intra-retinal layers in 3D optic nerve head images
AU - Wang, Chuang
AU - Wang, Yaxing
AU - Kaba, Djibril
AU - Zhu, Haogang
AU - Lv, You
AU - Wang, Zidong
AU - Liu, Xiaohui
AU - Li, Yongmin
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015
PY - 2015
Y1 - 2015
N2 - Spectral-Domain Optical Coherence Tomography (SD-OCT) is a non-invasive imaging modality, which provides retinal structures with unprecedented detail in 3D. In this paper, we propose an automated segmentation method to detect intra-retinal layers in SD-OCT images around optic nerve head acquired from a high resolution RTVue-100 SDOCT (Optovue, Fremont, CA, USA). This method starts by removing all the OCT imaging artifacts including the speckle noise and enhancing the contrast between layers using the 3D nonlinear anisotropic. Afterwards, we combine the level set method, k-means and MRF method to segment three intra-retinal layers around optical nerve head. The segmentation results show that our method can effectively delineate the surfaces of the retinal tissues in the noisy 3D optic nerve head images. The signed and unsigned significant differences between the segmentation results and the ground truth over optic nerve head B-scans are 1.01±1.13 and 1.93±2.21.
AB - Spectral-Domain Optical Coherence Tomography (SD-OCT) is a non-invasive imaging modality, which provides retinal structures with unprecedented detail in 3D. In this paper, we propose an automated segmentation method to detect intra-retinal layers in SD-OCT images around optic nerve head acquired from a high resolution RTVue-100 SDOCT (Optovue, Fremont, CA, USA). This method starts by removing all the OCT imaging artifacts including the speckle noise and enhancing the contrast between layers using the 3D nonlinear anisotropic. Afterwards, we combine the level set method, k-means and MRF method to segment three intra-retinal layers around optical nerve head. The segmentation results show that our method can effectively delineate the surfaces of the retinal tissues in the noisy 3D optic nerve head images. The signed and unsigned significant differences between the segmentation results and the ground truth over optic nerve head B-scans are 1.01±1.13 and 1.93±2.21.
UR - https://www.scopus.com/pages/publications/84943646894
U2 - 10.1007/978-3-319-21969-1_28
DO - 10.1007/978-3-319-21969-1_28
M3 - 会议稿件
AN - SCOPUS:84943646894
SN - 9783319219684
T3 - Lecture Notes in Computer Science
SP - 321
EP - 332
BT - Image and Graphics - 8th International Conference, ICIG 2015, Proceedings, Part III
A2 - Zhang, Yu-Jin
PB - Springer Verlag
T2 - 8th International Conference on Image and Graphics, ICIG 2015
Y2 - 13 August 2015 through 16 August 2015
ER -