Scholarlink

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 .

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

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

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Aleksandr Sovetsky,
  • Alexander Matveyev,
  • Peter Chizhov,
  • Vladimir Zaitsev,
  • Lev Matveev

摘要

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 .