Research Associate
Research Associate/Physicist: Department of Radiology, University of Cambridge
Clinical Scientist (Physics): MRIS, Imaging Department, Cambridge University Hospitals NHS Foundation Trust
Specialities: Magnetic resonance imaging and computational image analysis
Email: Andrew Gill Tel.: +44 (0)1223 746441
Profile
Andrew Gill graduated in Natural Sciences and Computer Science in 1993 from the University of Cambridge. After working for several years in the commercial sector as a software engineer he retrained as a Clinical Scientist at Cambridge University Hospitals from 2006-10 whilst studying for a M.Sc. in Radiation Physics at University College London. His Ph.D. studies were subsequently undertaken part-time at the University of Cambridge and involved the analysis of dynamic contrast-enhanced MR images using pharmacokinetic (PK) modelling. This work looked in particular at biomarkers of treatment response in tumours, temporal resolution requirements for successful PK model application and the repeatability of PK model analyses.
In 2014, he joined Professor Ferdia Gallagher’s research group as an image analyst with particular focus on hyperpolarized 13C imaging in cancer and sodium MR imaging. He also worked on quantifying organ distortion from image volumes and applied this to several studies in prostate cancer.
Now working in Prof Evis Sala’s Radiogenomics & Quantitative Imaging group, his current research interests include the design of software to aid habitat detection in tumours, supporting a process for MRI-tissue sample alignment using 3-D printed moulds. He has also recently written a software pipeline to facilitate the radiomic analysis of tissue image textures.
Concurrently with his work for the University of Cambridge, he provides research MR physics support to Royal Papworth Hospital NHS Foundation Trust, specialising in thoracic image analysis. He is currently setting up hyperpolarized Xenon lung imaging studies at Royal Papworth in collaboration with Prof Jim Wild (University of Sheffield), as well analysing data from dynamic contrast enhanced MR studies in mesothelioma patients.
Current research interests
MR and CT image analysis; radiomics/radiogenomics; DCE-MRI kinetic model analysis; imaging biomarkers; organ distortion
Professional Education and Training
| Degree | Field of Study | Institution | Graduated |
| B.A. | Natural Sciences | University of Cambridge | 1993 |
| M.Sc. | Radiation Physics | UCL | 2007 |
| Ph.D. | Medical Imaging | University of Cambridge | 2014 |
HCPC registration as Clinical Scientist: 2010
Selected publications
Gallagher, F. A., Woitek, R., McLean, M. A., Gill, A. B.*, Manzano Garcia, R., Provenzano, E., . . . Brindle, K. M. (2020). Imaging breast cancer using hyperpolarized carbon-13 MRI.. Proc Natl Acad Sci U S A, 117(4), 2092-2098. doi:10.1073/pnas.1913841117
Gill, A. B.*, Czarniecki, M., Gallagher, F. A., & Barrett, T. (2017). A method for mapping and quantifying whole organ diffusion-weighted image distortion in MR imaging of the prostate.. Sci Rep, 7(1), 12727. doi:10.1038/s41598-017-13097-6
Gill, A. B.*, Hilliard, N. J., Hilliard, S. T., Graves, M. J., Lomas, D. J., & Shaw, A. (2017). A semi-automatic method for the extraction of the portal venous input function in quantitative dynamic contrast-enhanced CT of the liver.. Br J Radiol, 90(1075), 20160875. doi:10.1259/bjr.20160875
Gill, A. B.*, Anandappa, G., Patterson, A. J., Priest, A. N., Graves, M. J., Janowitz, T., . . . Lomas, D. J. (2015). The use of error-category mapping in pharmacokinetic model analysis of dynamic contrast-enhanced MRI data.. Magn Reson Imaging, 33(2), 246-251. doi:10.1016/j.mri.2014.10.010
Gill, A. B.*, Black, R. T., Bowden, D. J., Priest, A. N., Graves, M. J., & Lomas, D. J. (2014). An investigation into the effects of temporal resolution on hepatic dynamic contrast-enhanced MRI in volunteers and in patients with hepatocellular carcinoma.. Phys Med Biol, 59(12), 3187-3200. doi:10.1088/0031-9155/59/12/3187
Sala, E., Kataoka, M. Y., Priest, A. N., Gill, A. B.*, McLean, M. A., Joubert, I., . . . Brenton, J. D. (2012). Advanced ovarian cancer: multiparametric MR imaging demonstrates response- and metastasis-specific effects.. Radiology, 263(1), 149-159. doi:10.1148/radiol.11110175
Barrett, T., Gill, A. B.*, Kataoka, M. Y., Priest, A. N., Joubert, I., McLean, M. A., . . . Sala, E. (2012). DCE and DW MRI in monitoring response to androgen deprivation therapy in patients with prostate cancer: a feasibility study.. Magn Reson Med, 67(3), 778-785. doi:10.1002/mrm.23062
