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Dr Nicholas Senn

Dr Nicholas Senn
Dr Nicholas Senn
Dr Nicholas Senn

PhD, MPhys

Research Fellow

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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

Aberdeen Biomedical Imaging Centre (ABIC)

Center for Adaptable MRI Technology (AMT)

External Memberships

SINAPSE Image Analysis Theme Lead 

V|LF-Spiro3D Consortium 

Research

Knowledge Exchange

Teaching resources:

Advanced Chest MRI School 2026:

Publications

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  • 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

    Senn, N., Masannat, Y., Husain, E., Siow, B., Heys, S. D., He, J.
    Radiology: Imaging Cancer, vol. 1, no. 1, e190008
    Contributions to Journals: Articles
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Chapters in Books, Reports and Conference Proceedings

Contributions to Conferences

Contributions to Journals