PhD, MPhys
Research Fellow
- 黑料网
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- School/Department
- School of Medicine, Medical Sciences and Nutrition
Biography
Dr Senn graduated from the University of Sheffield in 2015 with a MPhys (Hons) in Physics with Medical Physics. He then moved to the 黑料网 to undertake a PhD in Medical Physics, investigating the extent translated diffusion methods can measure breast cancer cell density and tissue heterogeneity using a clinical 3T MRI system.
Following the award of his PhD in 2019, he joined the 黑料网 Field-cycling Imaging Group as a postdoctoral Research Fellow. Over the next 9 months he investigated novel contrast mechanisms imparted to tissue stent test objects at field strengths below 0.2 T.
Following a short career break, Dr Senn returned to the 黑料网 Biomedical Imaging Centre in September 2022 as a Research Fellow to investigate and develop analysis methods to examine the extent Field-cycling MRI can detect cerebral small vessel disease. To date, Dr Senn continues this work as both co-applicant and Research Fellow.
Since April 2024, Dr Senn began working within the Center for Adaptable MRI Technology (AMT Center) at Aberdeen. As a postdoctoral Research Fellow he is working towards developing 3D MR spirometry at very-low field strengths as part of the SPIRO-3D consortium lung imaging project (
In 2024, Dr Senn also launched new pilot research efforts to realise new micro imaging capabilities for MRI (ARUK Scotland Junior Member Grant) and to develop an analysis pipeline to co-register digitised microscopy images to images acquired from Field-cycling MRI (Friends of ANCHOR Pilot Research Award).
Key words: MRI; field-cycling MRI; low-field MRI; SPIRO-3d; radial imaging; micro imaging; lung; cerebral small vessel disease; breast cancer; image analysis; pulse programming
Memberships and Affiliations
- Internal Memberships
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Aberdeen Biomedical Imaging Centre (ABIC)
Center for Adaptable MRI Technology (AMT)
- External Memberships
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SINAPSE Image Analysis Theme Lead
V|LF-Spiro3D Consortium
- Research
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Knowledge Exchange
Teaching resources:
Advanced Chest MRI School 2026:
- Publications
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Ultra-low-field R1 mapping at 0.2 mT obtained by Field-Cycling Imaging correlates with cerebral small vessel disease burden
Magnetic Resonance Materials in Physics, Biology, and MedicineContributions to Journals: Articles- [ONLINE] DOI:
Discrimination of haematoma and peri-haematoma regions of sub-acute intracerebral haemorrhage using Field-Cycling Imaging at field strengths below 0.2 T
UK Stroke Forum, pp. 40Contributions to Journals: Abstracts- [ONLINE] DOI:
Stroke Diagnosis from Field-Cycling Imaging using Machine Learning
UK Stroke Forum, pp. 41Contributions to Journals: Abstracts- [ONLINE] DOI:
Feasibility of self-navigated motion resolved 3D lung MRI on a non-commercial 100 mT system
ESMRMB 2025 41st Annual Scientific Meeting, pp. S724-S725Contributions to Journals: Abstracts- [ONLINE] DOI:
Field-Cycling Imaging yields repeatable brain R1 dispersion measurement at fields strengths below 0.2 Tesla with optimal fitting routine
Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 38, pp. 465鈥�474Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
Understanding cellular proliferation activity in breast cancer using multi-compartment model of transverse relaxation time mapping on 3T MRI
Frontiers in Oncology, vol. 15, 1482112Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
Peri-Tumoural Lipid Composition and Hypoxia for Early Immune Response to Neoadjuvant Chemotherapy in Breast Cancer
International Journal of Molecular Sciences, vol. 25, no. 17, 9303Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
Differentiation of histological calcification classifications in breast cancer using ultrashort echo time and chemical shift-encoded imaging MRI
Frontiers in Oncology, vol. 14, 1475090Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
Towards detection of early response in neoadjuvant chemotherapy of breast cancer using Bayesian intravoxel incoherent motion
Frontiers in Oncology, vol. 13, 1277556Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
- [ONLINE]
Assessing severity of cerebral small vessel disease using field-cycling MRI and automated segmentation
World Stroke Congress 2023, pp. 209Contributions to Journals: Abstracts- [ONLINE] DOI: