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.


Citation

BibTex format

@article{Feng:2017:10.1007/s11548-017-1587-4,
author = {Feng, Y and Guo, Z and Dong, Z and Zhou, X-Y and Kwok, K-W and Ernst, S and Lee, S-L},
doi = {10.1007/s11548-017-1587-4},
journal = {INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY},
pages = {1199--1207},
title = {An efficient cardiac mapping strategy for radiofrequency catheter ablation with active learning},
url = {http://dx.doi.org/10.1007/s11548-017-1587-4},
volume = {12},
year = {2017}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Feng,Y
AU - Guo,Z
AU - Dong,Z
AU - Zhou,X-Y
AU - Kwok,K-W
AU - Ernst,S
AU - Lee,S-L
DO - 10.1007/s11548-017-1587-4
EP - 1207
PY - 2017///
SN - 1861-6410
SP - 1199
TI - An efficient cardiac mapping strategy for radiofrequency catheter ablation with active learning
T2 - INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY
UR - http://dx.doi.org/10.1007/s11548-017-1587-4
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000405708200013&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/45100
VL - 12
ER -