Figure 1 shows a typical retinal OCT image with false color. Unlike echography which is done by sound waves, OCT imaging is not time-of-flight based but rather produces the image based on the interference patterns. In simple terms, OCT can be considered as echography with light ( 1). Optical coherence tomography (OCT) is a powerful imaging system for acquiring 3D volumetric images of tissues non-invasively. Keywords: Image analysis image registration image segmentation noise reduction optical coherence tomography (OCT) This paper reviews various techniques that are currently used to process raw image data into a form that can be clearly interpreted by clinicians. Lastly, movements of the tissue under imaging as well as the progression of disease in the tissue affect the quality and the proper interpretation of the acquired images which require the use of different image registration techniques. The outcome of this step is usually thickness maps of different retinal layers which are very useful in study of normal/diseased subjects. Another major step in OCT image analysis involves the use of segmentation techniques for distinguishing between different structures, especially in retinal OCT volumes. This requires specialized noise reduction techniques to eliminate the noise while preserving image details. Due to the underlying physics, OCT images suffer from a granular pattern, called speckle noise, which restricts the process of interpretation. OCT is able to non-invasively produce cross-sectional volumetric images of the tissues which can be used for analysis of tissue structure and properties. In this paper we focus on its applications in the field of ophthalmology and retinal imaging. In the recent past, it has found uses as a diagnostic tool in dermatology, cardiology, and ophthalmology. Policy of Dealing with Allegations of Research MisconductĪbstract: Optical coherence tomography (OCT) is an emerging imaging modality that has been widely used in the field of biomedical imaging.Policy of Screening for Plagiarism Process.
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