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Cognitive Vision in Robotic Surgery

Head of Group

Dr Stamatia Giannarou

About us

The Cognitive Vision in Robotic Surgery Lab is developing computer vision and AI techniques for intraoperative navigation and real-time tissue characterisation.

What we do

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.

Why it is important?

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.

How can it benefit patients?

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.

Meet the team

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

Mr Yihang Zhou
Research Assistant

Citation

BibTex format

@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}
}

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RIS format (EndNote, RefMan)

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  -

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