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.

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    Feng Y, Guo Z, Dong Z, Zhou X-Y, Kwok K-W, Ernst S, Lee S-Let al., 2017,

    An efficient cardiac mapping strategy for radiofrequency catheter ablation with active learning

    Lee S-L, 2017,

    Examining the use of a novel dynamic endovascular simulator to facilitate intelligent localization and robotic technologies

    , Vascular-Societies Annual Scientific Meeting, Publisher: WILEY, Pages: 16-16, ISSN: 0007-1323
    Vyas K, Hughes M, Leff DR, Yang G-Zet al., 2017,

    Methylene-blue aided rapid confocal laser endomicroscopy of breast cancer

    , JOURNAL OF BIOMEDICAL OPTICS, Vol: 22, ISSN: 1083-3668
    Zhang L, Ye M, Giataganas P, Hughes M, Bradu A, Podoleanu A, Yang G-Zet al., 2017,

    From Macro to Micro Autonomous Multiscale Image Fusion for Robotic Surgery

    , IEEE ROBOTICS & AUTOMATION MAGAZINE, Vol: 24, Pages: 63-72, ISSN: 1070-9932
    Constantinescu M, Lee SL, Ernst S, Yang GZet al., 2016,

    Traversed graph representation for sparse encoding of macro-reentrant tachycardia

    , Pages: 40-50, ISSN: 0302-9743

    © Springer International Publishing Switzerland 2016. Macro-reentrant atrial and ventricular tachycardias originate from additional circuits in which the activation of the cardiac chambers follows a high-frequency rotating pattern. The macro-reentrant circuit can be interrupted by targeted radiofrequency energy delivery with a linear lesion transecting the pathway. The choice of the optimal ablation site is determined by the operator’s experience, thus limiting the procedure success, increasing its duration and also unnecessarily extending the ablated tissue area in the case of incorrect ablation target estimation. In this paper, an algorithm for automatic intraoperative detection of the tachycardia reentry path is proposed by modelling the propagation as a graph traverse problem. Moreover, the optimal ablation point where the path should be transected is computed. Finally, the proposed method is applied to sparse electroanatomical data to demonstrate its use when undersampled mapping occurs. Thirteen electroanatomical maps of right ventricle and right and left atrium tachycardias from patients treated for congenital heart disease were analysed retrospectively in this study, with prediction accuracy tested against the recorded ablation sites and arrhythmia termination points.

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