{"id":2,"date":"2018-09-07T12:57:41","date_gmt":"2018-09-07T11:57:41","guid":{"rendered":"http:\/\/wp.cs.ucl.ac.uk\/mattclarkson\/?page_id=2"},"modified":"2020-07-20T17:38:01","modified_gmt":"2020-07-20T16:38:01","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/wp.cs.ucl.ac.uk\/mattclarkson\/","title":{"rendered":"Landing Page"},"content":{"rendered":"

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OUR MISSION<\/h1><\/div>

At the COMPuter ASsisted Surgery (COMPASS) group\u00a0we produce image-guidance systems, by developing novel and clinically validated algorithms so that patients may benefit from safer and more accurate surgical procedures.<\/h3>\n<\/div>
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Improve Safety<\/strong><\/h3><\/div>
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Increase Accuracy<\/strong><\/h3><\/div>
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Provide Navigation<\/strong><\/h3><\/div>
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Develop Software<\/strong><\/h3><\/div>
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RESEARCH<\/h1><\/div>

Our team is involved in a range of projects, making an impact on challenges facing clinicians in abdominal and neurosurgical surgery and therapy.<\/h3>\n<\/div>
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    Smart Liver <\/div>\n\n\t\t\n\t\t
    PROJECTS <\/div>\n\n\t\t\n\t\t
    Liver cancer is a major global health problem, affected an estimated 1.4 million people a year. <\/br> We are developing a computer assisted laparoscopic surgery system to guide the surgeon, <\/br> thereby reducing the level of risk. Our vision is that in the future, all patients requiring liver surgery <\/br> will be offered keyhole surgery, resulting in a safer, quicker procedure with faster recovery times. <\/div>\n\n\t\t\n\t\t
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    SNAPPY <\/div>\n\n\t\t\n\t\t
    PROJECTS <\/div>\n\n\t\t\n\t\t

    A key challenge for researchers in computational science is to write robust and reliable software with
    reduced maintenance costs. The Surgical NAvigation Platform with PYthon (SNAPPY) integrates
    devices such as trackers and various imaging sources and provides a framework for researchers
    and Research Software Engineers to work together and deliver code to the clinic in record time. <\/p>\n\n\t\t\n\t\t

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    US Guidance <\/div>\n\n\t\t\n\t\t
    PROJECTS <\/div>\n\n\t\t\n\t\t
    Ultrasound (US) image-guidance during surgery can improve the likelihood of a successful clinical
    outcome by presenting the clinician with real-time information process. We are developing a
    new framework for real-time registration that can be applied to laparoscopic surgery,
    endoscopic fetal surgery, robot-assisted surgery and image-guided ablation of tumours. <\/div>\n\n\t\t\n\t\t
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    VEROnA\n <\/div>\n\n\t\t\n\t\t
    PROJECTS <\/div>\n\n\t\t\n\t\t

    VEROnA image analysis project focusses on
    the information provided by imaging of vasculature embolised
    with radiopaque micro-spheres. This involves registration of imaging across multiple
    scales and modalities including CT, perfusion CT, DCE-MRI and micro-CT of resected samples. <\/p>\n\n\t\t\n\t\t

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    SbS Navigator <\/div>\n\n\t\t\n\t\t
    PROJECTS <\/div>\n\n\t\t\n\t\t
    The purpose of this project is to develop a three-dimensional surgical navigation system to combine
    images from different scans to help surgeons visualise the area in much greater detail and make skull
    base surgery safer and more effective.\n\nThe integrated navigation system will combine magnetic
    resonance imaging of the brain and facial nerve with ultrasound images taken during the operation.\n <\/div>\n\n\t\t\n\t\t
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    ML Epilepsy Surgey <\/div>\n\n\t\t\n\t\t
    PROJECTS <\/div>\n\n\t\t\n\t\t

    A proportion of people affected by
    refractory focal epilepsy respond absolutely
    and unequivocally to epilepsy surgery. We are developing text mining and machine learning
    methods to detect which patients will become seizure free, and hence inform clinical decision making.\n\n <\/p>\n\n\t\t\n\t\t

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