Professor David J. Lurie

University of Aberdeen

Professor David Lurie has worked in MRI Physics research at the University of Aberdeen since 1983 and has held a Chair in Biomedical Physics there since 2002. He has been a Visiting Scientist at the Johns Hopkins University School of Medicine and was a Visiting International Scholar at Ohio State University. His research is concerned with the development of MRI technology and its bio-medical applications. Prof. Lurie is the Coordinator of a 9-partner, €6.6M EU Horizon-2020 research project, entitled “Improving Diagnosis by Fast Field-Cycling MRI”. He is author of 74 peer-reviewed publications, 8 book chapters, 5 patents and over 270 conference abstracts; he has given more than 90 invited, keynote and plenary lectures at conferences and workshops. In 2017 he was awarded the Academic Gold Medal of IPEM. He is Vice-Chair of the Communications and Publications Committee of EFOMP and Vice-Chair of the Course Accreditation Committee of IPEM.

dont miss

Fast Field-Cycling MRI: A New Diagnostic Imaging Modality

Fast Field-Cycling MRI (FFC-MRI) represents a step-change in MRI technology. By switching the B0 field strength during a scan, FFC-MRI accesses radically new types of endogenous contrast – invisible to standard MRI – based on the way in which the T1 of tissues changes with field strength. A prototype human-scale scanner has been built and studies on patients are underway. This seminar will describe the technology, methods, applications and results of FFC-MRI.

EVEN MORE SEMINARS

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    Dr Rajesh Botchu
    Royal Orthopedic Hospital, Birmingham

    MR imaging of bone tumours

  • Professor David J. Lurie: Speaking at the Medical Imaging Convention

    Professor David J. Lurie
    University of Aberdeen

    Fast Field-Cycling MRI: A New Diagnostic Imaging Modality

  • Iris Grunwald: Speaking at the Medical Imaging Convention

    Iris Grunwald
    Anglia Ruskin University, Chelmsford, Southend University Hospital

    How To Set Up An Interventional Stroke Service Using AI and High-Fidelity Simulation

  • Xiaohong (Sharon) Gao: Speaking at the Medical Imaging Convention

    Xiaohong (Sharon) Gao
    Middlesex University

    Application of deep learning techniques to medical images for early diagnosis

  • Rose Isaacs: Speaking at the Medical Imaging Convention

    Rose Isaacs
    City, Sandwell & Walsall Breast Screening Service (CSWBSS)

    Addressing the nationally declining breast screening uptake trend