Qualitative and quantitative analysis of medical images

  • Research type

    Research Study

  • Full title

    The qualitative and quantitative analysis of medical images for undergraduate and Masters student projects within Molecular and Clinical Imaging

  • IRAS ID

    230698

  • Contact name

    J. Graeme Houston

  • Contact email

    ghouston@nhs.net

  • Sponsor organisation

    University of Dundee

  • Duration of Study in the UK

    5 years, 3 months, 28 days

  • Research summary

    Medical imaging is routinely used to diagnose and stage disease, map disease progression and aid surgical planning. NHS Tayside medical images are stored in a secure NHS archive and are accessible, with permission, for research, teaching and training purposes. Medical knowledge and understanding has advanced with collective image analysis. More specifically, collective quantitative analysis has been used to highlight structural and functional abnormalities that are undetectable during normal radiological qualitative assessments of individual patient data sets. Professor Houston’s group have a strong background in collective image analysis and of image quality assurance testing. Group members actively investigate novel methods of analysing data and of testing software packages.
    It is the aim of the School of Medicine, University of Dundee to encourage principle investigators to offer short-term projects to students looking to gain experience in the field of medicine/medical imaging analysis/medical physics. With that in mind, we are looking to obtain Proportionate Ethical Approval for undergraduate and Masters Students wishing to carry out short-term image analysis and quality assurance projects (up to 6 months) within the department of Molecular and Clinical Medicine, University of Dundee, from July 2017 until December 2022. Individual students will obtain project specific Caldicott approval in addition to this proportionate approval.

  • REC name

    East of Scotland Research Ethics Service REC 1

  • REC reference

    17/ES/0129

  • Date of REC Opinion

    20 Sep 2017

  • REC opinion

    Favourable Opinion