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
@inproceedings{Leibinger:2014:10.1007/978-3-319-02913-9_107,
author = {Leibinger, A and Oldfield, M and Rodriguez, y Baena F},
doi = {10.1007/978-3-319-02913-9_107},
pages = {420--423},
title = {Multi-objective design optimization for a steerable needle for soft tissue surgery},
url = {http://dx.doi.org/10.1007/978-3-319-02913-9_107},
year = {2014}
}
TY - CPAPER
AB - A novel steerable probe is being developed to access deep seated targets within soft tissue, with the aim of improving the accuracy of minimally invasive percutaneous needle insertions. Consisting of multiple axially interlocked segments that independently slide along each other, miniaturization of the design is required in order for the needle to be used in surgery. Within this study, a set of parameters which minimizes the risk of both buckling and separation is identified and a design optimization procedure based on finite element models is developed for the needle geometry. Four significant design variables are defined for a genetic multi-objective optimization algorithm. Loads and interactions between the four parts due to curved paths taken inside the soft tissue are modeled using generalized plane strain elements. The optimized set of non-dominated solutions is analyzed. By applying a decision- making process based on the value path method, the nondominated solutions are compared across the four objectives. It is found that smaller and less pronounced interlock features reduce contact forces and improve the sliding performance between needle segments. This results in a trade-off relationship between sliding performance and interlock strength and the most feasible design showing the best performance across all objectives is selected. The outcome is a new optimized design for the needle, which will be manufactured and tested with a suitable controller both in vitro and ex vivo.
AU - Leibinger,A
AU - Oldfield,M
AU - Rodriguez,y Baena F
DO - 10.1007/978-3-319-02913-9_107
EP - 423
PY - 2014///
SN - 1680-0737
SP - 420
TI - Multi-objective design optimization for a steerable needle for soft tissue surgery
UR - http://dx.doi.org/10.1007/978-3-319-02913-9_107
ER -
The Hamlyn Centre
Bessemer Building
South Kensington Campus
Imperial College
London, SW7 2AZ
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