Logo image
Segmentation of the surfaces of the retinal layer from OCT images
Conference proceeding   Open access

Segmentation of the surfaces of the retinal layer from OCT images

Mona Haeker, Michael Abràmoff, Randy Kardon and Milan Sonka
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, Vol.9(Pt 1), pp.800-807
2006
DOI: 10.1007/11866565_98
PMID: 17354964
url
https://doi.org/10.1007/11866565_98View
Published (Version of record) Open Access

Abstract

We have developed a method for the automated segmentation of the internal limiting membrane and the pigment epithelium in 3-D OCT retinal images. Each surface was found as a minimum s-t cut from a geometric graph constructed from edge/regional information and a priori-determined surface constraints. Our approach was tested on 18 3-D data sets (9 from patients with normal optic discs and 9 from patients with papilledema) obtained using a Stratus OCT-3 scanner. Qualitative analysis of surface detection correctness indicates that our method consistently found the correct surfaces and outperformed the proprietary algorithm used in the Stratus OCT-3 scanner. For example, for the internal limiting membrane, 4% of the 2-D scans had minor failures with no major failures using our approach, but 19% of the 2-D scans using the Stratus OCT-3 scanner had minor or complete failures.
Algorithms Reproducibility of Results Artificial Intelligence Humans Image Interpretation, Computer-Assisted - methods Imaging, Three-Dimensional - methods Papilledema - pathology Tomography, Optical Coherence - methods Sensitivity and Specificity Surface Properties Image Enhancement - methods Retina - pathology Pattern Recognition, Automated - methods

Details

Metrics

Logo image