title: Evaluation of 3-D shape reconstruction of retinal fundus.
abstract: We present a method for the 3-D shape reconstruction of the retinal fundus from stereo paired images. Detection of retinal elevation plays a critical role in the diagnosis and management of many retinal diseases. However, since the shape of ocular fundus is nearly planar, its 3-D depth range is very narrow. Therefore, we use the location of vascular bifurcations and a plane+parallax approach to provide a robust estimation of the epipolar geometry. Matching is then performed using a mutual information algorithm for accurate estimation of the disparity maps. To validate our results, in the absence of camera calibration, we compared the results with measurements from the current clinical gold standard, optical coherence tomography (OCT).
authors.affiliation: IRIS, University of Southern California 3737 Watt way, Los Angeles, CA, 90248, USA. tchoe@usc.edu
authors.forename: Tae Eun
authors.initials: TE
authors.lastname: Choe
authors.forename: Isaac
authors.initials: I
authors.lastname: Cohen
authors.forename: Gerard
authors.initials: G
authors.lastname: Medioni
authors.forename: Alexander C
authors.initials: AC
authors.lastname: Walsh
authors.forename: SriniVas R
authors.initials: SR
authors.lastname: Sadda
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009887:Ophthalmoscopy / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010780:Photogrammetry / Q000379:methods*; D015203:Reproducibility of Results; D012160:Retina / Q000166:cytology*; D012680:Sensitivity and Specificity