Fujimoto, In vivo endoscopic optical biopsy with optical coherence tomography. Colston, optical coherence tomography: a new imaging: technology for dentistry. Welzel, Optical coherence tomography in dermatology: a review. Podoleanu, Investigation of basal cell carcinoma using dynamic focus optical coherence tomography. Podoleanu, Investigation of computer-based skin cancer detection using optical coherence tomography. time domain optical coherence tomography. Fercher, Performance of fourier domain vs. Kell, Wavelet denoising of infrared spectra. Tuchin, Coherent-Domain Optical Methods: Biomedical Diagnostics, Environment and Material Science (Springer Science & Business Media, 2004)ī.K. Hughes, High lateral resolution imaging with dynamic focus. Schmitt, Optical coherence tomography (OCT): a review. Lasser, Optical coherence tomography-principles and applications. Rosen, Combined confocal/en face T-scan-based ultrahigh-resolution optical coherence tomography in vivo retinal imaging. In this chapter, we reviewed the most prominent speckle reduction methods for OCT images to date and then present a novel and intelligent speckle reduction algorithm to reduce speckle in OCT images of retina, based on an ensemble framework of Multi-Layer Perceptron (MLP) The ultimate aim of any software-based despeckling technique is to suppress the noise part of speckle while preserves the information carrying portion of that. Different hardware or software based techniques are devised in literatures to mitigate speckle noise. Retinal optical coherence tomograms are of a great importance in detecting and diagnosing eye diseases. Speckle reduces the detectability of diagnostically relevant features in the tissue. However, like other low coherent imaging modalities, OCT suffers from an artifact called, speckle. (OCT) is a promising high-resolution imaging technique that works based on low coherent interferometry.
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