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Proceedings Paper

An intelligent despeckling method for swept source optical coherence tomography images of skin
Author(s): Saba Adabi; Hamed Mohebbikarkhoran; Darius Mehregan; Silvia Conforto; Mohammadreza Nasiriavanaki
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Paper Abstract

Optical Coherence Optical coherence tomography is a powerful high-resolution imaging method with a broad biomedical application. Nonetheless, OCT images suffer from a multiplicative artefacts so-called speckle, a result of coherent imaging of system. Digital filters become ubiquitous means for speckle reduction. Addressing the fact that there still a room for despeckling in OCT, we proposed an intelligent speckle reduction framework based on OCT tissue morphological, textural and optical features that through a trained network selects the winner filter in which adaptively suppress the speckle noise while preserve structural information of OCT signal. These parameters are calculated for different steps of the procedure to be used in designed Artificial Neural Network decider that select the best denoising technique for each segment of the image. Results of training shows the dominant filter is BM3D from the last category.

Paper Details

Date Published: 13 March 2017
PDF: 6 pages
Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101372B (13 March 2017); doi: 10.1117/12.2255565
Show Author Affiliations
Saba Adabi, Wayne State Univ. (United States)
Univ. degli Studi di Roma Tre (Italy)
Hamed Mohebbikarkhoran, Sharif Univ. of Technology (Iran, Islamic Republic of)
Darius Mehregan, Wayne State Univ. (United States)
Silvia Conforto, Univ. degli Studi di Roma Tre (Italy)
Mohammadreza Nasiriavanaki, Wayne State Univ. (United States)
Barbara Ann Karmanos Cancer Institute (United States)

Published in SPIE Proceedings Vol. 10137:
Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging
Andrzej Krol; Barjor Gimi, Editor(s)

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