Presentation
4 August 2022 Endoscopic optical coherence tomography for epidural anesthesia guidance (Conference Presentation)
Author Affiliations +
Abstract
When the epidural needle is punctured into human body during epidural anesthesia surgery, the location of the needle tip is of great importance. In our study, we developed an OCT endoscopic system to help locate the needle tip in real time. Backbones from pigs were utilized to test our system. According to the tissue types that epidural needle punctures through, we imaged five different tissues (fat, ligament, flavum, epidural space and spinal cord). Furthermore, deep-learning methods were used to automatically distinguish the tissue types and predict the distance between the needle tip and the spinal cord. We achieved an average prediction accuracy of 96.65% in tissue classification, and an absolute percentage error at 3.05%±0.55% in distance measurement.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chen Wang, Paul Calle, Justin C. Reynolds, Nu Bao Tran Ton, Feng Yan, Anthony M. Donaldson, Avery D. Ladymon, Pamela R. Roberts, Alberto J. De Armendi, Kar-Ming Fung, Shashank S. Shettar, Chongle Pan, and Qinggong Tang "Endoscopic optical coherence tomography for epidural anesthesia guidance (Conference Presentation)", Proc. SPIE PC11949, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XX, PC119490I (4 August 2022); https://doi.org/10.1117/12.2609975
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KEYWORDS
Optical coherence tomography

Endoscopy

Spinal cord

Tissues

Distance measurement

Surgery

GRIN lenses

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