An intelligent despeckling method for swept source optical coherence tomography images of skin

Saba Adabi; Hamed Mohebbikarkhoran; Darius Mehregan; Silvia Conforto; Mohammadreza Nasiriavanaki

doi:10.1117/12.2255565

13 March 2017 An intelligent despeckling method for swept source optical coherence tomography images of skin

Saba Adabi; Hamed Mohebbikarkhoran; Darius Mehregan; Silvia Conforto; Mohammadreza Nasiriavanaki

Author Affiliations +

Proceedings Volume 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging; 101372B (2017) https://doi.org/10.1117/12.2255565
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

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.

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Saba Adabi, Saba Adabi, Hamed Mohebbikarkhoran, Hamed Mohebbikarkhoran, Darius Mehregan, Darius Mehregan, Silvia Conforto, Silvia Conforto, Mohammadreza Nasiriavanaki, Mohammadreza Nasiriavanaki, } "An intelligent despeckling method for swept source optical coherence tomography images of skin", Proc. SPIE 10137, Medical Imaging 2017: Biomedical Applications in Molecular, Structural, and Functional Imaging, 101372B (13 March 2017); doi: 10.1117/12.2255565; https://doi.org/10.1117/12.2255565

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