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 2004 with a BSc (Hons) in Physics. She moved to the University of Aberdeen to undertake an MSc in Medical Physics in 2015. She then 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 2024, Dr Mallikourti launched a new pilot research study to investigate MRI methods for measuring brain glucosamine metabolism.
Qualifications
- MSc Medical Physics2016 - University of Aberdeen
- PhD in Medical Physics2020 - University of Aberdeen
Internal Memberships
Aberdeen Biomedical Imaging Centre (ABIC)
Latest Publications
Field cycling imaging to characterise breast cancer at low and ultra-low magnetic fields below 0.2 T
Communications Medicine, vol. 4, no. 1, pp. 221Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1038/s43856-024-00644-2
Field-Cycling MRI for Identifying Minor Ischemic Stroke Below 0.2 T
Radiology, vol. 312, no. 2, e232972Contributions to Journals: ArticlesAssessing severity of cerebral small vessel disease using field-cycling MRI and automated segmentation
World Stroke Congress 2023, pp. 209Contributions to Journals: Abstracts- [ONLINE] DOI: https://doi.org/10.1177/17474930231192010
Detection of cerebral small vessel disease using denoised field-cycling MRI: Book of Abstracts ESMRMB 2023
Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 36, no. Suppl 1, pp. s297Contributions to Journals: Abstracts- [ONLINE] DOI: https://doi.org/10.1007/s10334-023-01130-x
Automated segmentation of cerebral small vessel disease from field-cycling MRI: Proffered Conference Abstract - MIUA 2023
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings
- Publications
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Page 1 of 2 Results 1 to 10 of 12
Field cycling imaging to characterise breast cancer at low and ultra-low magnetic fields below 0.2 T
Communications Medicine, vol. 4, no. 1, pp. 221Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1038/s43856-024-00644-2
Field-Cycling MRI for Identifying Minor Ischemic Stroke Below 0.2 T
Radiology, vol. 312, no. 2, e232972Contributions to Journals: ArticlesAssessing severity of cerebral small vessel disease using field-cycling MRI and automated segmentation
World Stroke Congress 2023, pp. 209Contributions to Journals: Abstracts- [ONLINE] DOI: https://doi.org/10.1177/17474930231192010
Detection of cerebral small vessel disease using denoised field-cycling MRI: Book of Abstracts ESMRMB 2023
Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 36, no. Suppl 1, pp. s297Contributions to Journals: Abstracts- [ONLINE] DOI: https://doi.org/10.1007/s10334-023-01130-x
Automated segmentation of cerebral small vessel disease from field-cycling MRI: Proffered Conference Abstract - MIUA 2023
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsLipid composition in peri-tumoural adipose tissue in postmenopausal patients with breast cancer
Contributions to Conferences: Oral Presentations- [ONLINE] SINAPSE ASM 2021 Abstracts
Deregulation of lipid composition in peri-tumoural adipose tissue in postmenopausal patients with breast cancer
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsPhased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer
Scientific Reports, vol. 10, no. 1, pp. 20041Contributions to Journals: ArticlesOptimal Phased-Array Signal Combination For Polyunsaturated Fatty Acids Measurement In Breast Cancer Using Multiple Quantum Coherence MR Spectroscopy At 3T
Scientific Reports, vol. 9, no. 1, 9259Contributions to Journals: Articles- [ONLINE] DOI: https://doi.org/10.1038/s41598-019-45710-1
- [OPEN ACCESS] http://aura.abdn.ac.uk/bitstream/2164/12448/1/s41598_019_45710_1.pdf
- [ONLINE] View publication in Scopus
Lipid composition is associated with lymphovascular invasion (LVI) and serotonin turnover in human breast tumours
Contributions to Conferences: Oral Presentations