Professional

Medical Physicist specialising in SiPM-based PET, working across nuclear medicine, radiation protection, and diagnostic radiology. I hold a PhD in Medical Physics from the University of Surrey and lead clinical and technical studies focused on improving imaging performance, safety, and service quality. I provide regional QA support for radiology and nuclear medicine services and collaborate with multidisciplinary teams, demonstrating strong proficiency in MATLAB and Python. With a background in physics, mathematics, and computing, I bring expertise in experimental research, problem-solving, and communication, and have presented my research at international conferences to advance the use of medical imaging technologies.

Education

Academic background

PhD in Medical Physics — University of Surrey (CVSSP)

Nuclear Medicine, SiPM-based PET/CT Imaging, Molecular Imaging, Radiation Therapy, Dose Painting, Image Quality, Image Processing, Problem Solving, Data Analysis, Research.

2021 – 2025

MSc in Medical Physics — University of Surrey

Radiation Safety and Measurement, Monte Carlo Simulation, Radiation Biology, Diagnostic Imaging, NonIonising Imaging, Mathematics, Biology, Anatomy, Problem Solving, Data Analysis, Research.

2020 – 2021

BSc in Physics — University of Kent

Medical Physics, Mathematics, Mechanics, Atomic Physics, Nuclear Physics, Quantum Physics, Electromagnetism, Optics, Special Relativity, Thermodynamics, Solid State Physics, Laboratory, 3D Printing.

2017 – 2020

Experience

Roles & collaborations

Medical Physicist — East and North Hertfordshire NHS Trust

Providing physics support across nuclear medicine and diagnostic radiology, and acting as study lead on a clinical research project. I deliver regional annual and routine quality assurance on PET/CT, SPECT/CT, radionuclide calibrators, CT and diagnostic and interventional X-ray and fluoroscopy systems, alongside radiation protection, dose audit and dosimetry. I designed and built a QA database to capture, validate and trend results across modalities and sites, streamlining reporting and supporting compliance with legislation.

London, UK
Nov 2025 – Present

PhD in Medical Physics — University of Surrey

Led advanced quantitative characterisation of a GE Discovery MI Gen 2 SiPM-based PET/CT scanner and applied this to radiotherapy applications. I designed an independent Phantom Analysis Tool (PAT) to reproduce and extend NEMA image-quality analysis, modified NEMA phantoms with sub-centimetre spheres to probe small-lesion detectability (down to 4 mm), and developed an acquisition-time model demonstrating scan-time reductions while maintaining detectability. I also built a Performance Equalisation Algorithm to degrade SiPM images to PMT-equivalent quality for radiologist training, and applied SiPM imaging to head-and-neck dose-painting studies. Delivered as a collaboration with Royal Surrey NHS Foundation Trust, Alliance Medical and the National Physical Laboratory.

Guildford, UK
Oct 2021 – Oct 2025

Collaboration & work experience — Royal Surrey NHS Foundation Trust, Alliance Medical & National Physical Laboratory

Experimental research, system commissioning, PACS training, annual QA and NEMA testing, precise radiation measurement, and shadowing including patient imaging and radiopharmaceutical preparation.

Guildford, Warwick & London, UK
Oct 2021 – Oct 2025

Collaboration & work experience — Lancashire Teaching Hospitals NHS Trust

Experimental research, shadowing including patient imaging and radiopharmaceutical preparation.

Preston, UK
Sept 2024

Projects

Selected research projects

PhD Chapter — Independent Performance Characterisation Tool for PET Phantom Analysis

I designed and built a Phantom Analysis Tool (PAT) to independently reproduce and extend the NEMA NU 2 image-quality methodology, removing reliance on proprietary on-scanner software. The tool was validated against vendor analysis and used to characterise a GE Discovery MI Gen 2 SiPM PET/CT system against published performance standards.

PhD · 2021 – 2025

PhD Chapter — Phantom Evaluation of Lesion Detectability in Silicon-Detector-Based PET

I modified the NEMA image-quality phantom with sub-centimetre spherical inserts (4.0–7.9 mm) and used contrast-to-noise ratio, a lesion detectability index and observer Likert scoring to quantify small-lesion detectability on the SiPM system, demonstrating reliable detection down to 4 mm. I also developed an acquisition-time model relating lesion size, signal-to-background ratio and detectability, showing scan-time savings of 36–65% for SiPM PET.

PhD · 2021 – 2025

PhD Chapter — Degrading SiPM PET Images to Model Conventional PMT Imaging

I developed a Performance Equalisation Algorithm (PEA) that degrades high-resolution SiPM PET images to the spatial resolution and sensitivity of conventional PMT systems, using interpolation, an intensity transform and Gaussian filtering. Parameters were optimised and independently validated with gamma analysis, raising whole-phantom pass rates from 81% to 94% and enabling consistent cross-platform comparison and training data.

PhD · 2021 – 2025

PhD Chapter — The Role of SiPM-Based PET in Functional Dose Modulation

I applied SiPM PET to radiotherapy dose painting for five head-and-neck cancer patients, comparing target-volume delineation and dose-painting prescriptions (by-contours and by-numbers) against degraded PMT-equivalent images. The SiPM system delineated volumes closer to the true geometric volume, producing prescribed-dose differences of up to 6% for the smallest, lowest-uptake tumours, with implications for tumour control probability modelling.

PhD · 2021 – 2025

MSc Research Project — Optical Surface Capture for 3D Printing in Skin Radiotherapy

This project explored the use of Microsoft Azure Kinect 3D depth cameras to produce facial boluses for radiotherapy. Key aspects included evaluating the accuracy of the depth measurements against ground truth distances and comparing Open3D reconstruction techniques, such as Iterative Closest Point (ICP) and manual reconstruction, using both test data and data from a mannequin head. Additionally, data processing workflows were developed to convert raw captured data into a format suitable for further use.

May 2021 – Sep 2021

MSc Experimental Project — Nuclear Medicine

This project involved experimentally assessing hardware and software of a Positron Emission Tomography (PET) system and conducting a glomerular filtration rate test. Pixel size, count number and collimator distance were assessed using a Williams Liver Phantom to determine the impact of these variables. This was extended post-imaging to include the impact of reconstruction methods and attenuation correction on the resulting images. Glomerular filtration rate was calculated for a number of patients and the importance of quality control in nuclear medicine was discussed.

Jan 2021 – May 2021

MSc Experimental Project — Monte Carlo Modelling

The project involved employing the Tool for Particle Simulation (TOPAS) for Monte Carlo modeling to investigate Bremsstrahlung radiation from a tungsten plate at different X-ray energies. Additionally, the project examined the anode heel effect with respect to variations in detector distance and anode angle.

May 2020 – Nov 2020

BSc Research Project — Building and Programming a Custom 3D-Printed Drone

This project involved designing and developing a custom drone using OpenSCAD for 3D modeling and printing. I programmed the power control system using Arduino to optimize power distribution and efficiency during flight and conducted detailed assessments of the drone's power management, ensuring stable and efficient performance. Results were assessed and presented for submission as my final year project.

May 2019 – Nov 2019

Toolkit

Other skills

Languages
PythonMatlabLaTeXOpenSCADHTML/CSS
Technologies
MicroDicomTOPAS (Monte Carlo simulation)PCXMCArduinoWindowsMicrosoft Office (Word, Excel, PowerPoint)

Research output

Publications

Assessing small-lesion detectability and acquisition time optimisation in silicon-detector-based PET: a phantom study — EJNMMI Physics

Leybourne N, Prakash V, Hussein M, Fenwick A, Strouhal P, Evans P, Florescu L
10.1186/s40658-025-00821-9

Dec 28, 2025

The role of SiPM-based PET for accurate volume delineation — SPIE Medical Imaging 2025

Leybourne N, Hussein M, Fenwick A, Evans P, Florescu L
10.1117/12.3046960

Apr 8, 2025

Enhanced Performance Characteristics of Digital PET for Small Feature Detection Relative to Non-Digital PET — SPIE Medical Imaging 2024

Leybourne N, Gregory R, Berry O, Scuffham J, Evans P, Florescu L, et al.
10.1117/12.3006788

Apr 1, 2024