In this section
The MIM Lab develops robotic and mechatronics surgical systems for a variety of procedures.
Prof Ferdinando Rodriguez y Baena
B415C Bessemer Building
South Kensington Campus
+44 (0)20 7594 7046
⇒ X: @fmryb
The Mechatronics in Medicine Laboratory develops robotic and mechatronics surgical systems for a variety of procedures including neuro, cardiovascular, orthopaedic surgeries, and colonoscopies. Examples include bio-inspired catheters that can navigate along complex paths within the brain (such as EDEN2020), soft robots to explore endoluminal anatomies (such as the colon), and virtual reality solutions to support surgeons during knee replacement surgeries.
The integration of mechatronics into medicine addresses critical challenges in modern healthcare by enhancing the precision, safety, and efficiency of surgical procedures. Traditional surgeries often involve significant risks and extended recovery times. By developing robotic systems that offer greater accuracy and control, we aim to minimise these risks and reduce invasiveness. Our research contributes to the advancement of minimally invasive techniques, which are essential for improving patient outcomes and optimising healthcare resources. Furthermore, our work supports the training of the next generation of surgeons, equipping them with cutting-edge tools and methodologies that reflect the evolving landscape of medical technology.
Patients stand to gain significantly from the innovations developed at the Mechatronics in Medicine Laboratory. Our robotic systems are designed to perform surgeries with enhanced precision, leading to fewer complications and faster recovery times. Minimally invasive procedures facilitated by our technologies result in less postoperative pain and reduced scarring, improving the overall patient experience. Additionally, the increased accuracy of our systems can lead to better surgical outcomes, such as more complete tumour removals or more precise joint replacements, thereby improving long-term health prospects. By pushing the boundaries of medical robotics, we strive to make advanced surgical care more accessible and effective for patients worldwide.
Dr Daniel Bautista Salinas
Research Associate
Dr Kaiwen Chen
Research Associate
Dr Zejian Cui
Research Associate
Mr Connor Daly
Research Postgraduate
Emeritus Professor Brian L Davies FREng
Emeritus Professor
Dr Hisham M Iqbal
Honorary Research Associate
Mr Alex Tian Jie Ranne
Casual - Lib. Ass, Clerks & Gen. Admin Assistants
Professor Ferdinando M Rodriguez y Baena
Co-Director of Hamlyn Centre, Professor of Medical Robotics
Dr Jialei Shi
Research Associate
Mr Spyridon Souipas
Casual - Other work
Ms Emilia Zari
Research Postgraduate
@article{Virdyawan:2020:10.1109/lra.2020.2969151,
author = {Virdyawan, V and Dessi, O and Rodriguez, y Baena F},
doi = {10.1109/lra.2020.2969151},
journal = {IEEE Robotics and Automation Letters},
pages = {1524--1531},
title = {A novel sensing method to detect tissue boundaries during robotic needle insertion based on laser Doppler flowmetry},
url = {http://dx.doi.org/10.1109/lra.2020.2969151},
volume = {5},
year = {2020}
}
TY - JOUR
AB - This study investigates the use of Laser Doppler Flowmetry (LDF) as a method to detect tissue transitions during robotic needle insertions. Insertions were performed in gelatin tissue phantoms with different optical and mechanical properties and into ex-vivo sheep brain. The effect of changing the optical properties of gelatin tissue phantoms was first investigated and it was shown that using gelatin concentration to modify the stiffness of samples was suitable. Needle insertion experiments were conducted into both one-layer and two-layer gelatin phantoms. In both cases, three stages could be observed in the perfusion values: tissue loading, rupture and tissue cutting. These were correlated to force values measured from the tip of the needle during insertion. The insertions into ex-vivo sheep brain also clearly showed the time of rupture in both force and perfusion values, demonstrating that tissue puncture can be detected using an LDF sensor at the tip of a needle.
AU - Virdyawan,V
AU - Dessi,O
AU - Rodriguez,y Baena F
DO - 10.1109/lra.2020.2969151
EP - 1531
PY - 2020///
SN - 2377-3766
SP - 1524
TI - A novel sensing method to detect tissue boundaries during robotic needle insertion based on laser Doppler flowmetry
T2 - IEEE Robotics and Automation Letters
UR - http://dx.doi.org/10.1109/lra.2020.2969151
VL - 5
ER -
The Hamlyn Centre
Bessemer Building
South Kensington Campus
Imperial College
London, SW7 2AZ
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