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Optical Coherence Tomography (OCT) is one of the most emerging imagingmodalities that has been used widely in the field of biomedical imaging. Fromits emergence in 1990's, plenty of hardware and software improvements have beenmade. Its applications range from ophthalmology to dermatology to coronaryimaging etc. Here, the focus is on applications of OCT in ophthalmology andretinal imaging. OCT is able to non-invasively produce cross-sectional volumeimages of the tissues which are further used for analysis of the tissuestructure and its properties. Due to the underlying physics, OCT images usuallysuffer from a granular pattern, called speckle noise, which restricts theprocess of interpretation, hence requiring specialized noise reductiontechniques to remove the noise while preserving image details. Also, given thefact that OCT images are in the $\mu m$ -level, further analysis in needed todistinguish between the different structures in the imaged volume. Thereforethe use of different segmentation techniques are of high importance. Themovement of the tissue under imaging or the progression of disease in thetissue also imposes further implications both on the quality and the properinterpretation of the acquired images. Thus, use of image registrationtechniques can be very helpful. In this work, an overview of such imageanalysis techniques will be given.

State-of-the-Art in Retinal Optical Coherence Tomography Image Analysis