In this section

Mechatronics in Medicine

Head of Group

Prof Ferdinando Rodriguez y Baena

B415C Bessemer Building

South Kensington Campus

About us

The MIM Lab develops robotic and mechatronics surgical systems for a variety of procedures.

Twitter/X: @MIMLab_Robotics
Youtube: Mechatronics in Medicine Lab

What we do

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.

Why it is important?

...

How can it benefit patients?

......

Meet the team

Mr Ayhan Aktas
Casual - Student demonstrator - lower rate

Dr Daniel Bautista Salinas
Research Associate

Dr Kaiwen Chen
Research Associate

Mr Zejian Cui
Research Postgraduate

Mr Connor Daly
Research Postgraduate

Emeritus Professor Brian L Davies FREng
Emeritus Professor

Mr Zhaoyang Jacopo Hu
Research Postgraduate

Dr Hisham M Iqbal
Research Associate

Mr Alex Ranne
Research Postgraduate

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

Citation

BibTex format

@article{Schlueter-Brust:2021:10.3390/jpm11080777,
author = {Schlueter-Brust, K and Henckel, J and Katinakis, F and Buken, C and Opt-Eynde, J and Pofahl, T and Rodriguez, y Baena F and Tatti, F},
doi = {10.3390/jpm11080777},
journal = {Journal of Personalized Medicine},
pages = {1--8},
title = {Augmented-reality-assisted K-wire placement for glenoid component positioning in reversed shoulder arthroplasty: a proof-of-concept study},
url = {http://dx.doi.org/10.3390/jpm11080777},
volume = {11},
year = {2021}
}

Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The accuracy of the implant’s post-operative position and orientation in reverse shoulder arthroplasty is known to play a significant role in both clinical and functional outcomes. Whilst technologies such as navigation and robotics have demonstrated superior radiological outcomes in many fields of surgery, the impact of augmented reality (AR) assistance in the operating room is still unknown. Malposition of the glenoid component in shoulder arthroplasty is known to result in implant failure and early revision surgery. The use of AR has many promising advantages, including allowing the detailed study of patient-specific anatomy without the need for invasive procedures such as arthroscopy to interrogate the joint’s articular surface. In addition, this technology has the potential to assist surgeons intraoperatively in aiding the guidance of surgical tools. It offers the prospect of increased component placement accuracy, reduced surgical procedure time, and improved radiological and functional outcomes, without recourse to the use of large navigation or robotic instruments, with their associated high overhead costs. This feasibility study describes the surgical workflow from a standardised CT protocol, via 3D reconstruction, 3D planning, and use of a commercial AR headset, to AR-assisted k-wire placement. Post-operative outcome was measured using a high-resolution laser scanner on the patient-specific 3D printed bone. In this proof-of-concept study, the discrepancy between the planned and the achieved glenoid entry point and guide-wire orientation was approximately 3 mm with a mean angulation error of 5°.
AU  - Schlueter-Brust,K
AU  - Henckel,J
AU  - Katinakis,F
AU  - Buken,C
AU  - Opt-Eynde,J
AU  - Pofahl,T
AU  - Rodriguez,y Baena F
AU  - Tatti,F
DO  - 10.3390/jpm11080777
EP  - 8
PY  - 2021///
SN  - 2075-4426
SP  - 1
TI  - Augmented-reality-assisted K-wire placement for glenoid component positioning in reversed shoulder arthroplasty: a proof-of-concept study
T2  - Journal of Personalized Medicine
UR  - http://dx.doi.org/10.3390/jpm11080777
UR  - https://www.mdpi.com/2075-4426/11/8/777
UR  - http://hdl.handle.net/10044/1/91396
VL  - 11
ER  -