PhD, MPhys
Research Fellow
- 51cg
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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 51cg 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 51cg 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 51cg 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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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:
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- [ONLINE]
- [ONLINE] DOI:
Peri-tumoural spatial distribution of lipid composition and tubule formation in breast cancer
BMC Cancer, vol. 22, 285Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
- [ONLINE]
What are the factors affecting neoadjuvant chemotherapy efficacy in breast cancer?: A noninvasive in vivo histology study using specialist magnetic resonance imaging (MRI) methods
Contributions to Conferences: Oral Presentations- [ONLINE]
Peri-tumoural spatial distribution of lipid composition and tumour cellular differentiation in breast cancer
Contributions to Conferences: Oral Presentations- [ONLINE]
Monitoring tissue implants by field-cycling H-1-MRI via the detection of changes in the N-14-quadrupolar-peak from imidazole moieties incorporated in a "smart" scaffold material
Journal of Materials Chemistry B, vol. 9, no. 24, pp. 4863-4872Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
A novel class of 1H-MRI Contrast Agents based on the relaxation enhancement induced on water protons by 14N imidazole moieties
Angewandte Chemie International Edition, vol. 60, no. 8, pp. 4208-4214Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
- [ONLINE]
Phased-array combination of 2D MRS for lipid composition quantification in patients with breast cancer
Scientific Reports, vol. 10, no. 1, pp. 20041Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
- [ONLINE]
Metabolic and structural skeletal muscle health in systemic lupus erythematosus related fatigue: a multi-modal magnetic resonance imaging study
Arthritis Care & Research, vol. 71, no. 12, pp. 1640-1646Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
- [ONLINE]
- [ONLINE]
q-Space Imaging Yields a Higher Effect Gradient to Assess Cellularity than Conventional Diffusion-weighted Imaging Methods at 3.0 T: A Pilot Study with Freshly Excised Whole-Breast Tumors
Radiology: Imaging Cancer, vol. 1, no. 1, e190008Contributions to Journals: Articles- [ONLINE] DOI:
- [OPEN ACCESS]
- [ONLINE]