Email: emorton@nus.edu.sg
Current Research
- Radiation imaging principles and practice with applications in industry and medicine
- Physics of radiation sensors – modelling and characterisation
- X-ray source design and the use of materials science in this application
FIG. 1. Current extracted from a thermionic electron source is dependent on extraction field until a point is reached where electron emission is limited only by the ability of electrons to escape from the material surface. Points are measured while the curve is theoretical.
Radiation imaging
The widespread adoption of radiation imaging in fields as diverse as medicine, security, food production and industrial systems has led to a proliferation of imaging methods from high resolution to ultra-fast each requiring specific source configurations, sensor capability and reconstruction methods. Driven by advances in materials science, we study the fundamental properties of sensor materials and devices fabricated from them to achieve lower dose, higher resolution imaging systems using energy integrating and photon counting approaches in both spatial and time dimensions. Combining techniques such as Monte Carlo modeling with finite element analysis and computational fluid dynamics, we study ways to advance X-ray source design to achieve higher brightness, more compact focus and intensity modulation to complement our work in X-ray sensors. Underpinned by advances in the mathematics of image formation, our drive is towards future generations of imaging systems that solve specific problems in science, medicine and industry.
Selected Publications
- Andrews, J.T.A., Morton, E.J., Griffin, L.D., 2016. Detecting anomalous data using auto-encoders. International Journal of Machine Learning and Computing 6.
- Calvert, N., Betcke, M., Deacon, A.N., Gleeson, A.J., Hill, C., Mcintosh, P.A., Mitchell, L.O., Morton, E.J., Ollier, J., Proctor, M.G., Speller, R.D., 2014. Feasibility study of time-of-flight Compton scatter imaging using picosecond length X-ray pulses. IEEE Transactions on Nuclear Science 61, 3701–3710.
- Jaccard, N., Rogers, T.W., Morton, E.J., Griffin, L.D., 2016. Detection of concealed cars in complex cargo X-ray imagery using deep learning. Journal of X-Ray Science and Technology 25.
- Key, M.J., Morton, E.J., Luggar, R.D., Kundu, A., 2003. Gas microstrip detectors for X-ray tomographic flow imaging. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment 496, 504–508.
- Gregory, P.J., Hutchinson, D.J., Read, D.B., Jenneson, P.M., Gilboy, W.B., Morton, E.J., 2003. Non-invasive imaging of roots with high resolution X-ray micro-tomography. Plant and Soil 225, 351–359.
Affiliations & Links
- Fellow of the Royal Academy of Engineering
- Fellow of the Institute of Physics
- CTO, Rapiscan Systems