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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

@article{Vander:2016:10.1142/S2424905X16400110,
author = {Vander, Poorten E and Tran, P and Devreker, A and Gruijthuijsen, C and Portoles-Diez, S and Smoljkic, G and Strbac, V and Famaey, N and Reynaerts, D and Vander, Sloten J and Tibebu, A and Yu, B and Rauch, C and Bernard, F and Kassahun, Y and Metzen, JH and Giannarou, S and Zhao, L and Lee, S and Yang, G and Mazomenos, E and Chang, P and Stoyanov, D and Kvasnytsia, M and Van, Deun J and Verhoelst, E and Sette, M and Di, Iasio A and Leo, G and Hertner, F and Scherly, D and Chelini, L and Häni, N and Seatovic, D and Rosa, B and De, Praetere H and Herijgers, P},
doi = {10.1142/S2424905X16400110},
journal = {Journal of Medical Robotics Research},
title = {Cognitive Autonomous Catheters Operating in Dynamic Environments},
url = {http://dx.doi.org/10.1142/S2424905X16400110},
volume = {01},
year = {2016}
}

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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Advances in miniaturized surgical instrumentation are key to less demanding and safer medical interventions. In cardiovascular procedures interventionalists turn towards catheter-based interventions, treating patients considered unfit for more invasive approaches. A positive outcome is not guaranteed. The risk for calcium dislodgement, tissue damage or even vessel rupture cannot be eliminated when instruments are maneuvered through fragile and diseased vessels. This paper reports on the progress made in terms of catheter design, vessel reconstruction, catheter shape modeling, surgical skill analysis, decision making and control. These efforts are geared towards the development of the necessary technology to autonomously steer catheters through the vasculature, a target of the EU-funded project Cognitive AutonomouS CAtheters operating in Dynamic Environments (CASCADE). Whereas autonomous placement of an aortic valve implant forms the ultimate and concrete goal, the technology of individual building blocks to reachsuch ambitious goal is expected to be much sooner impacting and assisting interventionalists in their daily clinical practice.
AU  - Vander,Poorten E
AU  - Tran,P
AU  - Devreker,A
AU  - Gruijthuijsen,C
AU  - Portoles-Diez,S
AU  - Smoljkic,G
AU  - Strbac,V
AU  - Famaey,N
AU  - Reynaerts,D
AU  - Vander,Sloten J
AU  - Tibebu,A
AU  - Yu,B
AU  - Rauch,C
AU  - Bernard,F
AU  - Kassahun,Y
AU  - Metzen,JH
AU  - Giannarou,S
AU  - Zhao,L
AU  - Lee,S
AU  - Yang,G
AU  - Mazomenos,E
AU  - Chang,P
AU  - Stoyanov,D
AU  - Kvasnytsia,M
AU  - Van,Deun J
AU  - Verhoelst,E
AU  - Sette,M
AU  - Di,Iasio A
AU  - Leo,G
AU  - Hertner,F
AU  - Scherly,D
AU  - Chelini,L
AU  - Häni,N
AU  - Seatovic,D
AU  - Rosa,B
AU  - De,Praetere H
AU  - Herijgers,P
DO  - 10.1142/S2424905X16400110
PY  - 2016///
SN  - 2424-905X
TI  - Cognitive Autonomous Catheters Operating in Dynamic Environments
T2  - Journal of Medical Robotics Research
UR  - http://dx.doi.org/10.1142/S2424905X16400110
UR  - http://hdl.handle.net/10044/1/43951
VL  - 01
ER  -