Imaging

The Centre has a long history of developing new techniques for medical imaging (particularly in magnetic resonance imaging), transforming them from a primarily diagnostic modality into an interventional and therapeutic platform. This is facilitated by the Centre's strong engineering background in practical imaging and image analysis platform development, as well as advances in minimal access and robotic assisted surgery. Hamlyn has a strong tradition in pursuing basic sciences and theoretical research, with a clear focus on clinical translation.

In response to the current paradigm shift and clinical demand in bringing cellular and molecular imaging modalities to an in vivo – in situ setting during surgical intervention, our recent research has also been focussed on novel biophotonics platforms that can be used for real-time tissue characterisation, functional assessment, and intraoperative guidance during minimally invasive surgery. This includes, for example, SMART confocal laser endomicroscopy, time-resolved fluorescence spectroscopy and flexible FLIM catheters.

2 column colour block - Research areas

Cardiovascular Imaging

Cardiovascular Imaging

At the Hamlyn Centre, we work on a broad range of imaging modalities, particularly in cardiovascular magnetic resonance imaging. These include the development of accurate cardiac function measurement including phase contrast velocity mapping, myocardial perfusion and coronary imaging.

Image-guided Navigation

The use of minimally invasive and flexible access surgery has imposed significant challenges on surgical navigation. Our work focuses on combining prior knowledge of the anatomical model with subject specific information derived from pre- and intra-operative imaging for image-guided surgery.

2 column colour block - Research areas 2

Surgical Imaging and Vision

Surgical Imaging and Vision

At the Hamlyn Centre, we are working towards the development of lightweight, cost-effective, flexible manipulators with minimum footprint in the operative theatre that enhance current surgical workflow as well as new techniques for providing synergistic control between the surgeon and the robot.
Biophotonics

Surgical Imaging and Biophotonics

Our work in biophotonics focuses on in situ, in vivo tissue characterisation and surgical guidance. Our key research interests include the development and application of photonics technology to surgical imaging and surgical robotics.

Citation

BibTex format

@article{Han:2022:10.1002/rcs.2358,
author = {Han, J and Davids, J and Ashrafian, H and Darzi, A and Elson, DS and Sodergren, M},
doi = {10.1002/rcs.2358},
journal = {International Journal of Medical Robotics and Computer Assisted Surgery},
pages = {1--11},
title = {A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approaches},
url = {http://dx.doi.org/10.1002/rcs.2358},
volume = {18},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundFrom traditional open surgery to laparoscopic surgery and robot-assisted surgery, advances in robotics, machine learning, and imaging are pushing the surgical approach to-wards better clinical outcomes. Pre-clinical and clinical evidence suggests that automation may standardise techniques, increase efficiency, and reduce clinical complications.MethodsA PRISMA-guided search was conducted across PubMed and OVID.ResultsOf the 89 screened articles, 51 met the inclusion criteria, with 10 included in the final review. Automatic data segmentation, trajectory planning, intra-operative registration, trajectory drilling, and soft tissue robotic surgery were discussed.ConclusionAlthough automated surgical systems remain conceptual, several research groups have developed supervised autonomous robotic surgical systems with increasing consideration for ethico-legal issues for automation. Automation paves the way for precision surgery and improved safety and opens new possibilities for deploying more robust artificial intelligence models, better imaging modalities and robotics to improve clinical outcomes.
AU  - Han,J
AU  - Davids,J
AU  - Ashrafian,H
AU  - Darzi,A
AU  - Elson,DS
AU  - Sodergren,M
DO  - 10.1002/rcs.2358
EP  - 11
PY  - 2022///
SN  - 1478-5951
SP  - 1
TI  - A systematic review of robotic surgery: From supervised paradigms to fully autonomous robotic approaches
T2  - International Journal of Medical Robotics and Computer Assisted Surgery
UR  - http://dx.doi.org/10.1002/rcs.2358
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000736441900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://onlinelibrary.wiley.com/doi/10.1002/rcs.2358
UR  - http://hdl.handle.net/10044/1/94344
VL  - 18
ER  -
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