Research output per year
Research output per year
Post-doc and PhD positions available in MR Image acquisition and analysis with application to cancer detection and therapy planning.
Please contact: [email protected]
Quantitative MRI, Simultaneous PET/MRI, Cancer Imaging
Isabel Dregely is a lecturer in MRI Physics. Her research interest is in using imaging to improve diagnosis and therapy planning in cancer patients. She uses computer simulations, an understanding of MRI signal models and interaction in healthy and cancer tissue to efficiently acquire and accurately extract ‘functional’ information from imaging data to better characterize each patient’s cancer.
Before joining King’s in 2015, she studied physics in Germany, and held research posts in USA (University of New Hampshire, Harvard, University of Virginia and University of California Los Angeles) and Germany (Technical University Munich) in many aspects of MRI research: instrumentation (designing and building RF coils), MR physics, image acquisition including pulse programming, reconstruction, quantitative and multi-parametric post-processing, novel contrast agents (hyperpolarised Xenon) and physiological modelling. As a post-doc in Munich, she worked with the worldwide first installed human whole-body simultaneous PET/MR machine.
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
Research output: Contribution to journal › Article › peer-review
1/11/2017 → 31/10/2022
Project: Research
2/01/2017 → 2/01/2022
Project: Research
2/01/2017 → 1/01/2022
Project: Research
Dregely, I., Botnar, R., Cook, G., Goh, V. & Prieto Vasquez, C.
1/10/2016 → 28/02/2018
Project: Research