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7 October 2005 Signal processing techniques for OCT images of human tissue
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The ability to delineate structural information in medical images is important for accurate diagnoses and will often depend on how the image is presented. Various methods of signal and image processing have been explored to improve this process across a wide range of medical imaging techniques. We present the application of chromatic analysis, a measurement technique developed for colorimetry applications, for signal processing of optical coherence tomography (OCT) images in human tissue. In particular, specific characteristics in the optical signal relating to various structural features are identified using chromatic filters and this information is used to process the OCT image. The technique was developed using mathematically simulated OCT signals and the applied to experimental OCT images of human tissue biopsy samples of the oesophagus. In the processed images, reflecting surfaces are highlighted and background noise is reduced to improve image interpretation.
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Christopher D. Russell, Caroline D. Sudworth, Tim J. Bullough, Neville Krasner, Mustaffa Haqqani, Anthony Deakin, and Gordon R. Jones "Signal processing techniques for OCT images of human tissue", Proc. SPIE 5861, Optical Coherence Tomography and Coherence Techniques II, 58610E (7 October 2005);

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