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Segmentation of Intra-retinal Layers in 3D Optic Nerve Head Images
Segmentation of Intra-retinal Layers in 3D Optic Nerve Head Images
- Source :
- Lecture Notes in Computer Science ISBN: 9783319219684, ICIG (3)
- Publication Year :
- 2015
- Publisher :
- Springer International Publishing, 2015.
-
Abstract
- 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 SD-OCT (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 \(\pm \) 1.13 and 1.93 \(\pm \) 2.21.
- Subjects :
- Ground truth
Level set method
genetic structures
medicine.diagnostic_test
Computer science
business.industry
media_common.quotation_subject
Speckle noise
Retinal
eye diseases
chemistry.chemical_compound
Optical coherence tomography
chemistry
Optic nerve
medicine
Contrast (vision)
Computer vision
Segmentation
sense organs
Artificial intelligence
business
media_common
Subjects
Details
- ISBN :
- 978-3-319-21968-4
- ISBNs :
- 9783319219684
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Computer Science ISBN: 9783319219684, ICIG (3)
- Accession number :
- edsair.doi...........42e71e7ce6fd2ecddef383d0e8e95c5e
- Full Text :
- https://doi.org/10.1007/978-3-319-21969-1_28