Marianthi-Vasiliki Papoutsaki

Centre for Medical Imaging, University College of London

M-V Papoutsaki is an MRI Physicist, HCPC clinical scientist registered, currently working at Centre for Medical Imaging in University College of London. Her background includes a Bachelor (BSc Hons) in Physics and a Masters (MSc) in Medical Physics followed by a clinical training in Nuclear Medicine, Radiotherapy, Radiation Protection and Medical Imaging. After the clinical registration, she completed her doctoral thesis focused on MRI polymer gel dosimetry in radiotherapy. Her research interests are focused on harmonization of MRI across various MR scanners, on quantitative MR Quality Control, on Hyperpolarised MRI, on 13C and 1H MR Spectroscopy, on Diffusion – Weighted (DW) MRI and on MRI polymer gel dosimetry. During her career, she developed various test objects for set-up, optimisation and quality control of different MR imaging techniques and various software pipelines for analysing MR spectroscopy and imaging data. Currently, she is working on harmonisation and standardisation of prostate mpMRI in UK.

dont miss

Harmonisation of prostate multiparametric MRI protocols across different sites

Prostate cancer clinical pathway has changed in UK, adopting multi-parametric MRI (mpMRI) before transrectal ultrasound guided biopsy in men with elevated serum prostate specific antigen. Subsequently, there is a need of a standardised procedure across UK consisting of a reliable imaging protocol resulting in high diagnostic quality scans following international recommendations. This work presents the set-up of standardised prostate mpMRI protocol across multiple sites in London following the international recommendations.

EVEN MORE SEMINARS

  • 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

  • Robert Lauritzen: Speaking at the Medical Imaging Convention

    Robert Lauritzen
    Cerebriu

    Why real-time machine learning on medical images during acquisition can make a difference

  • Ernesto A. Cerdena: Speaking at the Medical Imaging Convention

    Ernesto A. Cerdena
    AtlantiCare Regional Medical Center (a member of Geisinger), Atlantic City, New Jersey, USA

    UPDATE on Lessons Learned in Adopting Clinical Decision Support Mechanism In Diagnostic Imaging

  • Syeda Khan: Speaking at the Medical Imaging Convention

    Syeda Khan
    City, Sandwell and Walsall Breast Screening Service

    PROSPECT Trial

  • Mrs Simerjit Rai: Speaking at the Medical Imaging Convention

    Mrs Simerjit Rai
    Sandwell & West Birmingham NHS Trust

    Patient initiated follow-up and surveillance (story so far)