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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  • Journal article
    Keshavarz M, Kassanos P, Tan B, Venkatakrishnan Ket al., 2020,

    Metal-oxide surface-enhanced Raman biosensor template towards point-of-care EGFR detection and cancer diagnostics

    , NANOSCALE HORIZONS, Vol: 5, Pages: 294-307, ISSN: 2055-6756
  • Conference paper
    Cartucho J, Tukra S, Li Y, Elson D, Giannarou Set al., 2020,

    VisionBlender: A Tool for Generating Computer Vision Datasets in Robotic Surgery (best paper award)

    , Joint MICCAI 2020 Workshop on Augmented Environments for Computer-Assisted Interventions (AE-CAI), Computer-Assisted Endoscopy (CARE) and Context-Aware Operating Theatres 2.0 (OR2.0)
  • Conference paper
    Huang B, Tsai Y-Y, Cartucho J, Tuch D, Giannarou S, Elson Det al., 2020,

    Tracking and Visualization of the Sensing Area for a Tethered Laparoscopic Gamma Probe

    , Information Processing in Computer Assisted Intervention (IPCAI)
  • Journal article
    Berthelot M, Ashcroft J, Boshier P, Henry FP, Hunter J, Lo B, Yang G-Z, Leff Det al., 2019,

    Use of near infrared spectroscopy and implantable Doppler for postoperative monitoring of free tissue transfer for breast reconstruction: a systematic review and meta-analysis

    , Plastic and Reconstructive Surgery Global Open, Vol: 7, Pages: 1-8, ISSN: 2169-7574

    Background: Failure to accurately assess the perfusion of free tissue transfer (FTT) in the early postoperative periodmay contribute to failure, which is a source of major patient morbidity and healthcare costs.Goal: This systematic review and meta-analysis aims to evaluate and appraise current evidence for the use of nearinfrared spectroscopy (NIRS) and/or implantable Doppler (ID) devices compared with conventional clinicalassessment (CCA) for postoperative monitoring of FTT in reconstructive breast surgery.Methods: A systematic literature search was performed in accordance with the PRISMA guidelines. Studies in humansubjects published within the last decade relevant to the review question were identified. Meta-analysis using randomeffects models of FTT failure rate and STARD scoring were then performed on the retrieved publications.Results: 19 studies met the inclusions criteria. For NIRS and ID, the mean sensitivity for the detection of FTT failure is99.36% and 100% respectively, with average specificity of 99.36% and 97.63% respectively. From studies withsufficient reported data, meta-analysis results demonstrated that both NIRS (OR = 0.09 [0.02, 0.36], P < 0.001) and ID(OR = 0.39 [0.27, 0.95], P = 0.04) were associated with significant reduction of FTT failure rates compared to CCA.Conclusion: The use of ID and NIRS provide equivalent outcomes in detecting FTT failure and were superior to CCA.The ability to acquire continuous objective physiological data regarding tissue perfusion is a perceived advantage ofthese techniques. Reduced clinical staff workload and minimised hospital costs are also perceived as positiveconsequences of their use.

  • Journal article
    Guo Y, Deligianni F, Gu X, Yang G-Zet al., 2019,

    3-D Canonical pose estimation and abnormal gait recognition with a single RGB-D camera

    , IEEE Robotics and Automation Letters, Vol: 4, Pages: 3617-3624, ISSN: 2377-3766

    Assistive robots play an important role in improvingthe quality of life of patients at home. Among all the monitoringtasks, gait disorders are prevalent in elderly and people with neurological conditions and this increases the risk of fall. Therefore,the development of mobile systems for gait monitoring at home innormal living conditions is important. Here, we present a mobilesystem that is able to track humans and analyze their gait incanonical coordinates based on a single RGB-D camera. First,view-invariant three-dimensional (3-D) lower limb pose estimationis achieved by fusing information from depth images along with2-D joints derived in RGB images. Next, both the 6-D camerapose and the 3-D lower limb skeleton are real-time tracked in acanonical coordinate system based on simultaneously localizationand mapping (SLAM). A mask-based strategy is exploited to improve the re-localization of the SLAM in dynamic environments.Abnormal gait is detected by using the support vector machine andthe bidirectional long-short term memory network with respect toa set of extracted gait features. To evaluate the robustness of thesystem, we collected multi-cameras, ground truth data from 16healthy volunteers performing 6 gait patterns that mimic commongait abnormalities. The experiment results demonstrate that ourproposed system can achieve good lower limb pose estimation andsuperior recognition accuracy compared to previous abnormal gaitdetection methods.

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