Accurate real-time depth control for CP-SSOCT distal sensor based handheld microsurgery tools

Gyeong Woo Cheon, Yong Huang, Jaepyeng Cha, Peter L. Gehlbach, Jin U. Kang

Research output: Contribution to journalArticlepeer-review


This paper presents a novel intuitive targeting and tracking scheme that utilizes a common-path swept source optical coherence tomography (CP-SSOCT) distal sensor integrated handheld microsurgical tool. To achieve micron-order precision control, a reliable and accurate OCT distal sensing method is required; simultaneously, a prediction algorithm is necessary to compensate for the system delay associated with the computational, mechanical and electronic latencies. Due to the multilayered structure of retina, it is necessary to develop effective surface detection methods rather than simple peak detection. To achieve this, a shifted cross-correlation method is applied for surface detection in order to increase robustness and accuracy in distal sensing. A predictor based on Kalman filter was implemented for more precise motion compensation. The performance was first evaluated using an established dry phantom consisting of stacked cellophane tape. This was followed by evaluation in an ex-vivo bovine retina model to assess system accuracy and precision. The results demonstrate highly accurate depth targeting with less than 5 μm RMSE depth locking.

Original languageEnglish (US)
Article numberA031
Pages (from-to)1942-1953
Number of pages12
JournalBiomedical Optics Express
Issue number5
StatePublished - 2015

ASJC Scopus subject areas

  • Biotechnology
  • Atomic and Molecular Physics, and Optics


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