PROJECT TITLE :
Automatic Optic Disc Detection in OCT Slices via Low-Rank Reconstruction
Optic disc measurements give useful diagnostic information as they have correlations with certain eye diseases. In this paper, we offer an automatic technique for detecting the optic disc in a single OCT slice. Our method is developed from the observation that the retinal pigment epithelium (RPE) that bounds the optic disc encompasses a low-rank appearance structure that differs from areas inside the disc. To detect the disc, our methodology acquires from the OCT image an RPE look model that's specific to the individual and imaging conditions, by learning a coffee-rank dictionary from image areas known to be part of the RPE consistent with priors on ocular anatomy. The sting of the RPE, where the optic disc is found, is then found by traversing the retinal layer containing the RPE, reconstructing native appearance with the low-rank model, and detecting the purpose at that look starts to deviate (i.e., increased reconstruction error). To assist during this detection, we tend to additionally introduce a geometrical constraint referred to as the space bias that accounts for the smooth shape of the RPE. Experiments demonstrate that our methodology outperforms other OCT techniques in localizing the optic disc and estimating disc width. Moreover, we have a tendency to also show the potential usage of our method on optic disc space detection in 3-D OCT volumes.
Did you like this research project?
To get this research project Guidelines, Training and Code... Click Here