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OCT Scans Simulation Framework for Data Augmentation and Controlled Evaluation of Signal Processing Approaches

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Simulation and Synthesis in Medical Imaging (SASHIMI 2024)

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Abstract

Optical Coherence Tomography (OCT) is an emerging approach for tissue diagnostics and optical biopsy. OCT can evaluate biological structures, including vessels (such as blood and lymphatic vessels), tissue layers, tumor margins, and other inclusions. OCT scans reveal coherent speckle patterns and signal decay. These parameters can be characterized by speckle contrast (SC) and the optical attenuation coefficient (OAC). This work presents the principles of OCT signal formation, demonstrates a computationally efficient OCT signal simulation framework, and outlines the applicability of its utilization to SC and OAC processing evaluation. We then demonstrate the presented approach in application to real OCT signals of cartilage under laser treatment. The presented OCT scan simulation and signal processing tools are available on the cloud-based online platform https://www.opticelastograph.com.

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Data Availability

The simulated digital phantom can be found in the supplementary materials and in the OCTDigitalPhantoms repository (https://github.com/OCTDigitalPhantoms). The Octave simulation and processing codes were converted and packaged into Docker containers and deployed to Yandex Cloud using solutions developed by Oceanstart (https://oceanstart.dev). All presented tools can be found on the cloud-based online platform OpticElastograph (https://www.opticelastograph.com). To avoid server overload, registration is required. One may sign up and request full access to the platform by contacting the authors via email.

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Acknowledgments

The authors are grateful to Prof. Alex Vitkin from the University of Toronto for useful discussions and overall scientific support, and to Prof. Maher Assaad from Ajman University for support with the cloud-based OCT phantom simulation presented in Fig. 1. We are also grateful to Oceanstart for developing the integrative online platform (https://oceanstart.dev/optic-elastograph).

Funding

This work is supported by the Russian Science Foundation grant No 22-12-00295.

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Authors and Affiliations

  1. Russian Academy of Sciences, IAPRAS, Nizhniy Novgorod, 603950, Russia

    Aleksandr Sovetsky, Alexander Matveyev, Peter Chizhov, Vladimir Zaitsev & Lev Matveev

Authors
  1. Aleksandr Sovetsky
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  2. Alexander Matveyev
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  3. Peter Chizhov
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  4. Vladimir Zaitsev
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  5. Lev Matveev
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Corresponding author

Correspondence to Lev Matveev .

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Editors and Affiliations

  1. King's College London, London, UK

    Virginia Fernandez

  2. University of Twente, Enschede, Gelderland, The Netherlands

    Jelmer M. Wolterink

  3. Masaryk University, Brno, Czech Republic

    David Wiesner

  4. Johns Hopkins University, Baltimore, MD, USA

    Samuel Remedios

  5. Vanderbilt University, Nashville, TN, USA

    Lianrui Zuo

  6. University of Girona, Girona, Spain

    Adrià Casamitjana

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Disclosure of Interests

Aleksandr Sovetsky is the CEO and owner of the image and data processing software development and cloud-computing company OpticElastograph LLC. OpticElastograph LLC is an integrator of the presented research-based solutions. The OCTDigitalPhantoms repository is partially supported by Ajman University project No. 2023-IRG-ENIT-44 under the PI of Prof. Maher Assaad.

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Sovetsky, A., Matveyev, A., Chizhov, P., Zaitsev, V., Matveev, L. (2025). OCT Scans Simulation Framework for Data Augmentation and Controlled Evaluation of Signal Processing Approaches. In: Fernandez, V., Wolterink, J.M., Wiesner, D., Remedios, S., Zuo, L., Casamitjana, A. (eds) Simulation and Synthesis in Medical Imaging. SASHIMI 2024. Lecture Notes in Computer Science, vol 15187. Springer, Cham. https://doi.org/10.1007/978-3-031-73281-2_12

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  • DOI: https://doi.org/10.1007/978-3-031-73281-2_12

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