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The Cognitive Vision in Robotic Surgery Lab is developing computer vision and AI techniques for intraoperative navigation and real-time tissue characterisation.
Dr Stamatia (Matina) Giannarou
411 Bessemer Building
South Kensington Campus
+44 (0) 20 7594 8904
Surgery is undergoing rapid changes driven by recent technological advances and our on-going pursuit towards early intervention and personalised treatment. We are developing computer vision and Artificial Intelligence techniques for intraoperative navigation and real-time tissue characterisation during minimally invasive and robot-assisted operations to improve both the efficacy and safety of surgical procedures. Our work will revolutionize the treatment of cancers and pave the way for autonomous robot-assisted interventions.
With recent advances in medical imaging, sensing, and robotics, surgical oncology is entering a new era of early intervention, personalised treatment, and faster patient recovery. The main goal is to completely remove cancerous tissue while minimising damage to surrounding areas. However, achieving this can be challenging, often leading to imprecise surgeries, high re-excision rates, and reduced quality of life due to unintended injuries. Therefore, technologies that enhance cancer detection and enable more precise surgeries may improve patient outcomes.
Our methods aim to ensure patients receive accurate and timely surgical treatment while reducing surgeons' mental workload, overcoming limitations, and minimizing errors. By improving tumor excision, our hybrid diagnostic and therapeutic tools will lower recurrence rates and enhance survival outcomes. More complete tumor removal will also reduce the need for repeat procedures, improving patient quality of life, life expectancy, and benefiting society and the economy.
Dr Stamatia Giannarou
Senior Lecturer
Dr Po Wen Lo
Research Associate
Mr Alfie Roddan
Research Postgraduate
Mr Alistair G Weld
Research Postgraduate
Mr Chi Xu
Research Assistant
Mr Haozheng Xu
Research Assistant in Surgical Robot Vision
Mr Yihang Zhou
Research Assistant
@inbook{Giannarou:2024:10.1016/B978-0-44-318840-4.00016-4,
author = {Giannarou, S and Xu, C and Roddan, A},
booktitle = {Biophotonics and Biosensing: from Fundamental Research to Clinical Trials through Advances of Signal and Image Processing},
doi = {10.1016/B978-0-44-318840-4.00016-4},
pages = {269--284},
title = {Endomicroscopy},
url = {http://dx.doi.org/10.1016/B978-0-44-318840-4.00016-4},
year = {2024}
}
TY - CHAP
AB - Endomicroscopy is an enabling technology that can transform tissue characterization, allowing optical biopsies to be taken during diagnostic and interventional procedures, assisting tissue characterization and decision-making. New techniques, such as probe-based confocal laser endomicroscopy (pCLE) have enabled direct visualization of the tissue at a microscopic level and have been approved for clinical use in a range of clinical applications. Recent pilot studies suggest that the technique may have a role in identifying residual cancer tissue and improving resection rates. The aim of this chapter is to present the technological advances in this area, describe the challenges and limitations associated with this imaging modality and present methods which have been developed to facilitate the application of this technique as well as understanding of the collected data.
AU - Giannarou,S
AU - Xu,C
AU - Roddan,A
DO - 10.1016/B978-0-44-318840-4.00016-4
EP - 284
PY - 2024///
SP - 269
TI - Endomicroscopy
T1 - Biophotonics and Biosensing: from Fundamental Research to Clinical Trials through Advances of Signal and Image Processing
UR - http://dx.doi.org/10.1016/B978-0-44-318840-4.00016-4
ER -
The Hamlyn Centre
Bessemer Building
South Kensington Campus
Imperial College
London, SW7 2AZ
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