People

Dr Vasiliki Mallikourti

Dr Vasiliki Mallikourti
Dr Vasiliki Mallikourti
Dr Vasiliki Mallikourti

Research Fellow

About
Email Address
vasiliki.mallikourti@abdn.ac.uk
School/Department
School of Medicine, Medical Sciences and Nutrition

Biography

Dr Mallikourti graduated from the University of Athens in 2009 with a BSc (Hons) in Physics and completed an MSc in Physical Sciences in Education in 2011. In 2015, she moved to the University of Aberdeen to undertake an MSc in Medical Physics. She stayed in Aberdeen to undertake a PhD in Medical Physics, investigating signal acquisition and processing algorithms for lipid composition measurement in breast cancer using a clinical 3T MRI system.

Following the award of her PhD in 2020, she joined the University of Aberdeen Field-cycling Imaging Group as a postdoctoral Research Fellow to investigate the extend Field Cycling Imaging can detect stroke, breast cancer and brain lesions.

Dr Mallikourti also joined the University of Aberdeen Biomedical Imaging Centre in January 2022 as a Research Fellow and co-applicant to investigate the measurement of brain glucose metabolism using Chemical Exchange Saturation Transfer (CEST) in patients with Alzheimer’s disease using the 3T MRI system.

In 2025, Dr Mallikourti launched a new pilot research study to investigate if Field Cycling Imaging can improve the estimation of the extent of breast cancer lesions funded by the Clerk Maxwell Cancer Research Fund.

In 2026, she was awarded the Cancer Research UK Early Detection and Diagnosis Project Award to investigate whether Field Cycling Imaging can detect subclinical alterations in radiologically normal-appearing breast tissue in patients with breast cancer.

Qualifications

  • MSc Medical Physics 
    2016 - University of Aberdeen 
  • PhD in Medical Physics 
    2020 - University of Aberdeen 

Internal Memberships

Aberdeen Biomedical Imaging Centre (ABIC)

Latest Publications

  • Ultra-low-field R1 mapping at 0.2 mT obtained by Field-Cycling Imaging correlates with cerebral small vessel disease burden

    Senn, N., Ali-Gombe, A., Franko, E., Mallikourti, V., Kallevag, O., Ross, J., Levi, R., Oren, N., Lurie, D. J., Broche, L., Waiter, G., Macleod, M.
    Magnetic Resonance Materials in Physics, Biology, and Medicine
    Contributions to Journals: Articles

  • Evaluation of glucoCEST MRI for assessing cerebral glucose hypometabolism in patients with Alzheimer’s disease

    Mallikourti, V.
    Working Papers: Preprint Papers

  • Discrimination of haematoma and peri-haematoma regions of sub-acute intracerebral haemorrhage using Field-Cycling Imaging at field strengths below 0.2 T

    Senn, N., Mallikourti, V., Ross, J., Levi, R., Oren, N., Broche, L., Waiter, G., Macleod, M.
    UK Stroke Forum, pp. 40
    Contributions to Journals: Abstracts

  • Stroke Diagnosis from Field-Cycling Imaging using Machine Learning

    Ali-Gombe, A., Senn, N., Broche, L., Mallikourti, V., Ross, J., Waiter, G., Macleod, M.
    UK Stroke Forum, pp. 41
    Contributions to Journals: Abstracts

  • Field-Cycling Imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine

    Senn, N., Ross, P. J., Ayde, R., Mallikourti, V., Krishna, A., James, C., de Vries, C., Broche, L., Waiter, G., Macleod, M.
    Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 38, pp. 465–474
    Contributions to Journals: Articles

View My Publications

Publications

Page 1 of 2 Results 1 to 10 of 17

  • Ultra-low-field R1 mapping at 0.2 mT obtained by Field-Cycling Imaging correlates with cerebral small vessel disease burden

    Senn, N., Ali-Gombe, A., Franko, E., Mallikourti, V., Kallevag, O., Ross, J., Levi, R., Oren, N., Lurie, D. J., Broche, L., Waiter, G., Macleod, M.
    Magnetic Resonance Materials in Physics, Biology, and Medicine
    Contributions to Journals: Articles

  • Evaluation of glucoCEST MRI for assessing cerebral glucose hypometabolism in patients with Alzheimer’s disease

    Mallikourti, V.
    Working Papers: Preprint Papers

  • Discrimination of haematoma and peri-haematoma regions of sub-acute intracerebral haemorrhage using Field-Cycling Imaging at field strengths below 0.2 T

    Senn, N., Mallikourti, V., Ross, J., Levi, R., Oren, N., Broche, L., Waiter, G., Macleod, M.
    UK Stroke Forum, pp. 40
    Contributions to Journals: Abstracts

  • Stroke Diagnosis from Field-Cycling Imaging using Machine Learning

    Ali-Gombe, A., Senn, N., Broche, L., Mallikourti, V., Ross, J., Waiter, G., Macleod, M.
    UK Stroke Forum, pp. 41
    Contributions to Journals: Abstracts

  • Field-Cycling Imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine

    Senn, N., Ross, P. J., Ayde, R., Mallikourti, V., Krishna, A., James, C., de Vries, C., Broche, L., Waiter, G., Macleod, M.
    Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 38, pp. 465–474
    Contributions to Journals: Articles

  • Field cycling imaging to characterise breast cancer at low and ultra-low magnetic fields below 0.2 T

    Mallikourti, V., Ross, P. J., Maier, O., Hanna, K., Husain, E., Davies, G. R., Lurie, D. J., Lip, G., Lahrech, H., Masannat, Y., Broche, L. M.
    Communications Medicine, vol. 4, 221
    Contributions to Journals: Articles

  • Field-Cycling MRI for Identifying Minor Ischemic Stroke Below 0.2 T

    Mallikourti, V., Ross, J., Maier, O., Guzman Gutierrez, G., Franko, E., Lurie, D., Broche, L., Macleod, M.
    Radiology, vol. 312, no. 2, e232972
    Contributions to Journals: Articles

  • Assessing severity of cerebral small vessel disease using field-cycling MRI and automated segmentation

    Senn, N., Mallikourti, V., Ross, J., Broche, L., Waiter, G., Macleod, M.
    World Stroke Congress 2023, pp. 209
    Contributions to Journals: Abstracts

  • Detection of cerebral small vessel disease using denoised field-cycling MRI: Book of Abstracts ESMRMB 2023

    Senn, N., Mallikourti, V., Ross, J., Broche, L., Waiter, G., Macleod, M.
    Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 36, no. Suppl 1, pp. s297
    Contributions to Journals: Abstracts

  • Automated segmentation of cerebral small vessel disease from field-cycling MRI: Proffered Conference Abstract - MIUA 2023

    Senn, N., Mallikourti, V., Ross, J., Broche, L., Waiter, G., Macleod, M.
    Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
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