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Conferences > ECBO > 2023 > SWC > 126321F
  • Optical Coherence Imaging Techniques and Imaging in Scattering Media V
  • Technical Digest Series (Optica Publishing Group, 2023),
  • paper 126321F
  • •https://doi.org/10.1117/12.2670781

Practical volumetric speckle reduction in OCT using deep learning

Bhaskara Rao Chintada, Sebastián Ruiz-Lopera, René Restrepo, Martin Villiger, Brett E. Bouma, and Néstor Uribe-Patarroyo

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Abstract

Speckle reduction has been an active topic of interest in the optical coherence tomography (OCT) community and several techniques have been developed ranging from hardware-based methods, conventional image-processing and deep-learning based methods. The main goal of speckle reduction is to improve the diagnostic utility of OCT images by enhancing the image quality, thereby enhancing the visual interpretation of anatomical structures. We have previously introduced a probabilistic despeckling method based on non-local means for OCT—Tomographic Non-local-means despeckling (TNode)[1].

© 2023 SPIE

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