Our recent publications
Our work is widely published, much of it open access to support research activity beyond our Research Group and University.
Take a deeper dive into our research themes by browsing our recent publications.
We are proud advocates of Open Access publishing - all the publications below are publicly accessible at no charge to the reader.
Seracam: characterisation of a new small field of view hybrid gamma camera for nuclear medicine
The first publication to report on the Seracam - a new small field gamma camera for nuclear imaging, developed by . In this paper, we provide a full characterisation of the system, demonstrate its capability in challenging simulated clinical scenarios (thyroid scintigraphy and gastric emptying) and discuss how its unique features may change clinical practice.
(EJNMMI Physics, Volume 11, article number 57, 2024)
PMST: a custom Python-based Monte Carlo Simulation Tool for research and system development in portable pinhole gamma cameras
This paper describes a Python-based Monte Carlo simulation package and its validation against the experimental performance of a portable gamma camera. PMST was developed to help non-specialists simulate the performance of small field of view and pinhole gamma cameras. It is freely available to download and use in your own research or studies.
(Science Direct, Volume 1061, April 2024, 169161)
Experimental benchmarking of Monte Carlo simulations for radiotherapy dosimetry using monochromatic X-ray beams in the presence of metal-based compounds
In this paper, we use Monte Carlo simulations to show how the local dose deposition in X-ray radiotherapy can be increased by the presence of high-atomic-number compounds. The enhancement can be improved if the radiation energy is chosen in the proximity of the absorption edge.
(Physica Medica, 2019)
Efficient Retrieval of Images with Irregular Patterns Using Morphological Image Analysis: Applications to Industrial and Healthcare Datasets
This paper demonstrates a new framework for identifying similar features in large datasets of images. This has a wide range of applications, but here it is shown to be effective on images of defects in wind turbine blades and heat sinks, images of lake ice, and chest CTs of patients with Covid-19 infections.
(J. Imaging 2023, 9(12), 277)