Deep Reinforcement Learning Based System for Intraoperative Hyperspectral Video Autofocusing.

Charlie Budd¹, Jianrong Qiu², Oscar MacCormac^1,3, Martin Huber¹, Christopher Mower¹, Mirek Janatka^1,4, Théo Trotouin^1,4, Jonathan Shapey^1,4, Mads S Bergholt², Tom Vercauteren^1,4

¹King's College London, Biomedical Engineering & Imaging Science, London.

²King's College London, School of Craniofacial and Regenerative Biology, London.

³King's College Hospitals, Department of Neurosurgery, Denmark Hill, London.

⁴Hypervision Surgical Limited, 1st Floor 85 Great Portland Street, London.

PubMed PMC DOI PDF

Abstract

Hyperspectral imaging (HSI) captures a greater level of spectral detail than traditional optical imaging, making it a potentially valuable intraoperative tool when precise tissue differentiation is essential. Hardware limitations of current optical systems used for handheld realtime video HSI result in a limited focal depth, thereby posing usability issues for integration of the technology into th…

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