Lara Bonney
CDT student
Lara joined the programme following four years of training and work in the NHS in Medical Physics.
Prior to her work in healthcare, she completed an undergraduate degree in Physics at Oxford. Following this, Lara began the NHS Scientist Training programme, completing a master’s in Medical Physics part-time at King’s College London. Her master’s thesis looked at quantitative imaging in radionuclide therapy for neuroendocrine cancer (Lu177-oxodotreotide).
Lara is interested in quantitative image analysis, in particular as applied to cancer imaging, and the translation of data science into clinical care. Her DPhil project will look at quantitative image analysis (radiomics) for Sarcoma at the Sir William Dunn School of Pathology.
Lara holds an NIHR Doctoral Clinical Academic Fellowship and an honorary post with Oxford University Hospitals NHS Foundation Trust as a clinical scientist.
Recent publications
Leveraging Large Language Models to Direct Automated PET/CT Tumour Segmentation in Retrospective Data: an Agentic Framework Method
Preprint
Bonney LM. et al, (2025)
Deep learning image enhancement algorithms in PET/CT imaging: a phantom and sarcoma patient radiomic evaluation.
Journal article
Bonney LM. et al, (2025), European journal of nuclear medicine and molecular imaging, 52, 3266 - 3277
Phantom-based investigation of block sequential regularised expectation maximisation (BSREM) reconstruction for zirconium-89 PET-CT for varied count levels.
Journal article
Bonney LM. et al, (2025), EJNMMI physics, 12
Development of a method to use standard hospital gamma cameras as triage whole body monitors in UK emergencies.
Journal article
Simpson M. et al, (2024), Journal of radiological protection : official journal of the Society for Radiological Protection
Challenges and solutions to system-wide use of precision oncology as the standard of care paradigm.
Journal article
Lajmi N. et al, (2024), Cambridge prisms. Precision medicine, 2