2013
DOI: 10.1109/lpt.2013.2266660
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Spatial Compounding Algorithm for Speckle Reduction of Dynamic Focus OCT Images

Abstract: Optical coherence tomography is capable of imaging the microstructures within tissues. To preserve the transverse resolution at all imaging depths, we implement a dynamic focusing scheme. To improve the quality of images further, a simple speckle reduction scheme is employed which uses the vibration introduced by the translation stage used for axial scanning. A spatial compounding technique is developed based on co-registration followed by an averaging algorithm. We conclude that the degree of speckle reductio… Show more

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Cited by 71 publications
(38 citation statements)
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“…OCT is able to visualize the stratum corneum, the epidermis, the upper dermis of skin, skin appendages, and blood vessels . Due to its potential for diagnosing carcinoma, extensive research is being done with OCT in vivo to identify characteristics that may help differentiate between malignant and nonmalignant cells …”
Section: Introductionmentioning
confidence: 99%
“…OCT is able to visualize the stratum corneum, the epidermis, the upper dermis of skin, skin appendages, and blood vessels . Due to its potential for diagnosing carcinoma, extensive research is being done with OCT in vivo to identify characteristics that may help differentiate between malignant and nonmalignant cells …”
Section: Introductionmentioning
confidence: 99%
“…In the first class, also known as compounding techniques, multiple uncorrelated recordings are averaged. Techniques in this class include spatial compounding (Avanaki et al (2013)), angular compounding (Schmitt (1997)), polarization compounding (Kobayashi et al (1991)) and frequency compounding (Pircher et al (2003)). As for post-processing techniques, anisotropic diffusion based methods (Salinas and Fernández (2007), Puvanathasan and Bizheva (2009)), multiscale/multiresolution geometric representation based techniques (Pizurica et al (2008), Adler et al (2004), Jian et al (2009, 2010), Guo et al (2013), Xu et al (2013), Gupta et al (2014)) and compressive sensing and sparse representation based approaches (Fang et al (2012, 2013)) are good examples.…”
Section: Introductionmentioning
confidence: 99%
“…These particular properties have made PCF as an ideal candidate for nonlinear applications like SCG [7][8][9][10][11]. Broadband light sources based on SCG have already found applications in various fields such as, optical communication based on dense wavelength division multiplexing [12][13][14], fluorescence microscopy [15], designing tunable ultrafast femtosecond laser sources [16], precise measurement of optical frequencies [17], mid-infrared SCG for spectroscopy [9,18], and non-invasive imaging of sensitive surfaces based on optical coherence tomography (OCT) [19,20] that uses light waves to generate cross-section images of the retina and also the light-sensitive tissue lining the back of the eye [21]. Champert, et al .…”
Section: Introductionmentioning
confidence: 99%