People_

Dr David Waddington

NHMRC Research Fellow
Sydney School of Health Sciences
Discipline of Medical Imaging Sciences
Faculty of Medicine and Health

Email

david.waddington@sydney.edu.au

Details

Member of The University of Sydney Nano Institute

Websites

ACRF Image X Institute

Google Scholar

Biographical details

Dr David Waddington is an NHMRC Emerging Leadership Fellow at the Image X Institute in the Faculty of Medicine and Health at the University of Sydney. As an early career researcher (PhD(Science), The University of Sydney, 2018), he specializes in developing new imaging technologies based on Magnetic Resonance Imaging (MRI) that can be used for the targeting of cancer therapeutics. David has published high impact, first-author research articles in multidisciplinary journals including Nature Communications and Science Advances that have led to two patent applications. He has been the recipient of prestigious academic awards including a 2013-14 Postgraduate Fulbright Scholarship (Harvard University) and a University Medal in Physics (UNSW - 2010). His work has won international conference prizes including twoBest in Physicsat the American Association of Physicists in Medicine (AAPM - 2020, 2022) and twoSumma Cum Laudeawards at the International Society of Magnetic Resonance in Medicine (ISMRM - 2016, 2020). David has given several invited talks at international imaging conferences and presented at public events such as TEDx.

Research interests

David's research interests lie in the development of new imaging technologies for biomedical applications. In particular, he is involved in the development of:

MRI-based imaging techniques for tracking tumours in radiotherapy treatments
nanoparticle based probes for imaging targeted drug delivery

Current projects

The Australian MRI-Linac project. This project will improve cancer treatment by increasing the accuracy of radiation dose delivery to tumours during radiation therapy. This accuracy increase comes from the integration of an MRI scanner into the radiotherapy suite, enabling tumours to be tracked in real-time during treatment.

Associations

Member of the Internation Society of Magnetic Resonance in Medicine (ISMRM)

Themes

Cancer

Keywords

Cancer, Radiotherapy, Imaging

International links

United States

(Martinos Center for Biomedical Imaging, Massachusetts General Hospital) New techniques for diagnosing cancer on low-cost, portable MRI scanners with Prof Matthew Rosen.

Current research students

Project title	Research student
Developing, deploying, and assessing deep learning techniques to advance real-time adaptive magnetic resonance imaging guided radiation therapy	James GROVER

Publications

By Type

Expand all

Journals

Shan, S., Gao, M., Liu, F., Gao, Y., Waddington, D., Chen, H., Whelan, B., Liu, P., Wang, Y., Liu, C., et al (2024). Image Reconstruction with B0 Inhomogeneity using a Deep Unrolled Network on an Open-bore MRI-Linac. IEEE Transactions on Instrumentation and Measurement. [More Information]
Whelan, B., Liu, P., Shan, S., Waddington, D., Dong, B., Jameson, M., Keall, P. (2024). Open-source hardware and software for the measurement, characterization, reporting, and correction of geometric distortion in MRI. Medical Physics. [More Information]
Shan, S., Gao, Y., Liu, P., Whelan, B., Sun, H., Dong, B., Liu, F., Waddington, D. (2023). Distortion-corrected image reconstruction with deep learning on an MRI-Linac. Magnetic Resonance in Medicine, 90(3), 963-977. [More Information]
Lombardo, E., Riboldi, M., Kurz, C., Landry, G., Keall, P., Liu, P., Waddington, D., Grover, J., Whelan, B., Wong, E., et al (2023). Experimental comparison of linear regression and LSTM motion prediction models for MLC-tracking on an MRI-linac. Medical Physics, 50(11), 7083-7092. [More Information]
Liu, P., Shan, S., Waddington, D., Whelan, B., Dong, B., Liney, G., Keall, P. (2023). Rapid distortion correction enables accurate magnetic resonance imaging-guided real-time adaptive radiotherapy. Physics And Imaging In Radiation Oncology, 25. [More Information]
Waddington, D., Hindley, N., Koonjoo, N., Chiu, C., Reynolds, T., Liu, P., Zhu, B., Bhutto, D., Paganelli, C., Keall, P., et al (2023). Real-time radial reconstruction with domain transform manifold learning for MRI-guided radiotherapy. The Journal of Experimental Medicine. [More Information]
Brighi, C., Waddington, D., Keall, P., Booth, J., O’Brien, K., Silvester, S., Parkinson, J., Mueller, M., Yim, J., Bailey, D., et al (2023). The MANGO study: a prospective investigation of oxygen enhanced and blood-oxygen level dependent MRI as imaging biomarkers of hypoxia in glioblastoma. Frontiers in Oncology, 13. [More Information]
Brighi, C., Puttick, S., Li, S., Keall, P., Neville, K., Waddington, D., Bourgeat, P., Gillman, A., Fay, M. (2022). A novel semiautomated method for background activity and biological tumour volume definition to improve standardisation of 18F-FET PET imaging in glioblastoma. EJNMMI Physics, 9(1), 9. [More Information]
Brighi, C., Keall, P., Holloway, L., Walker, A., Whelan, B., de Witt Hamer, P., Verburg, N., Aly, F., Chen, C., Koh, E., Waddington, D. (2022). An investigation of the conformity, feasibility, and expected clinical benefits of multiparametric MRI-guided dose painting radiotherapy in glioblastoma. Neuro-Oncology Advances, 4(1). [More Information]
Keall, P., Brighi, C., Glide-Hurst, C., Liney, G., Liu, P., Lydiard, S., Paganelli, C., Pham, T., Shan, S., Tree, A., Waddington, D., Whelan, B., et al (2022). Integrated MRI-guided radiotherapy — opportunities and challenges. Nature Reviews Clinical Oncology, 19(7), 458-470. [More Information]
Smith, L., Kuncic, Z., Byrne, H., Waddington, D. (2022). Nanoparticles for MRI-guided radiation therapy: a review. Cancer Nanotechnology (Print): basic, translational and clinical research, 13(1). [More Information]
Brighi, C., Verburg, N., Koh, E., Walker, A., Chen, C., Pillay, S., de Witt Hamer, P., Aly, F., Holloway, L., Keall, P., Waddington, D. (2022). Repeatability of radiotherapy dose-painting prescriptions derived from a multiparametric magnetic resonance imaging model of glioblastoma infiltration. Physics And Imaging In Radiation Oncology, 23, 8-15. [More Information]
Goodburn, R., Philippens, M., Lefebvre, T., Khalifa, A., Bruijnen, T., Freedman, J., Waddington, D., Younus, E., Aliotta, E., Meliadò, G., et al (2022). The future of MRI in radiation therapy: Challenges and opportunities for the MR community. Magnetic Resonance in Medicine, 88(6), 2592-2608. [More Information]
Liu, P., Dong, B., Nguyen, D., Ge, Y., Hewson, E., Waddington, D., O'Brien, R., Liney, G., Keall, P. (2020). First experimental investigation of simultaneously tracking two independently moving targets on an MRI-linac using real-time MRI and MLC tracking. Medical Physics, 47(12), 6440-6449. [More Information]
Waddington, D., Boele, T., Maschmeyer, R., Kuncic, Z., Rosen, M. (2020). High-sensitivity in vivo contrast for ultra-low field magnetic resonance imaging using superparamagnetic iron oxide nanoparticles. Science Advances, 6(29), 1-9. [More Information]
Boele, T., Waddington, D., Gaebel, T., Rej, E., Hasija, A., Brown, L., McCamey, D., Reilly, D. (2020). Tailored nanodiamonds for hyperpolarized C 13 MRI. Physical Review B, 101(15), 155416. [More Information]
De Deene, Y., Wheatley, M., Dong, B., Roberts, N., Jelen, U., Waddington, D., Liney, G. (2020). Towards real-time 4D radiation dosimetry on an MRI-Linac. Physics in Medicine and Biology, 65(22), 225031. [More Information]
Waddington, D., Boele, T., Rej, E., McCamey, D., King, N., Gaebel, T., Reilly, D. (2019). Phase-Encoded Hyperpolarized Nanodiamond for Magnetic Resonance Imaging. Scientific Reports, 9(1), 1-10. [More Information]
Waddington, D., Sarracanie, M., Salameh, N., Herisson, F., Ayata, C., Rosen, M. (2018). An Overhauser-enhanced-MRI platform for dynamic freeradical imaging in vivo. NMR in Biomedicine, 31(5), 1-11. [More Information]
Rej, E., Gaebel, T., Waddington, D., Reilly, D. (2017). Hyperpolarized nanodiamond surfaces. Journal of the American Chemical Society, 139(1), 193-199. [More Information]
Waddington, D., Sarracanie, M., Zhang, H., Salameh, N., Glenn, D., Rej, E., Gaebel, T., Boele, T., Walsworth, R., Reilly, D., et al (2017). Nanodiamond-enhanced MRI via in situ hyperpolarization. Nature Communications, 8, 1-8. [More Information]
Rej, E., Gaebel, T., Boele, T., Waddington, D., Reilly, D. (2015). Hyperpolarized nanodiamond with long spin-relaxation times. Nature Communications, 6, 1-7. [More Information]
Sarracanie, M., Lapierre, C., Salameh, N., Waddington, D., Witzel, T., Rosen, M. (2015). Low-Cost High-Performance MRI. Scientific Reports, 5(15177), 1-9. [More Information]
Carrad, D., Burke, A., Reece, P., Lyttleton, R., Waddington, D., Rai, A., Reuter, D., Wieck, A., Micolich, A. (2013). The effect of (NH4)2Sx passivation on the (311)A GaAs surface and its use in AlGaAs/GaAs heterostructure devices. Journal of Physics: Condensed Matter, 25(32), 1-11. [More Information]
Burke, A., Waddington, D., Carrad, D., Lyttleton, R., Tan, H., Reece, P., Klochan, O., Hamilton, A., Rai, A., et al (2012). Origin of gate hysteresis in p-type Si-doped AlGaAs/GaAs heterostructures. Physical Review B, 86, 165309. [More Information]

show 22 more

By Year

Expand all

2024

Shan, S., Gao, M., Liu, F., Gao, Y., Waddington, D., Chen, H., Whelan, B., Liu, P., Wang, Y., Liu, C., et al (2024). Image Reconstruction with B0 Inhomogeneity using a Deep Unrolled Network on an Open-bore MRI-Linac. IEEE Transactions on Instrumentation and Measurement. [More Information]
Whelan, B., Liu, P., Shan, S., Waddington, D., Dong, B., Jameson, M., Keall, P. (2024). Open-source hardware and software for the measurement, characterization, reporting, and correction of geometric distortion in MRI. Medical Physics. [More Information]

2023

Shan, S., Gao, Y., Liu, P., Whelan, B., Sun, H., Dong, B., Liu, F., Waddington, D. (2023). Distortion-corrected image reconstruction with deep learning on an MRI-Linac. Magnetic Resonance in Medicine, 90(3), 963-977. [More Information]
Lombardo, E., Riboldi, M., Kurz, C., Landry, G., Keall, P., Liu, P., Waddington, D., Grover, J., Whelan, B., Wong, E., et al (2023). Experimental comparison of linear regression and LSTM motion prediction models for MLC-tracking on an MRI-linac. Medical Physics, 50(11), 7083-7092. [More Information]
Liu, P., Shan, S., Waddington, D., Whelan, B., Dong, B., Liney, G., Keall, P. (2023). Rapid distortion correction enables accurate magnetic resonance imaging-guided real-time adaptive radiotherapy. Physics And Imaging In Radiation Oncology, 25. [More Information]
Waddington, D., Hindley, N., Koonjoo, N., Chiu, C., Reynolds, T., Liu, P., Zhu, B., Bhutto, D., Paganelli, C., Keall, P., et al (2023). Real-time radial reconstruction with domain transform manifold learning for MRI-guided radiotherapy. The Journal of Experimental Medicine. [More Information]
Brighi, C., Waddington, D., Keall, P., Booth, J., O’Brien, K., Silvester, S., Parkinson, J., Mueller, M., Yim, J., Bailey, D., et al (2023). The MANGO study: a prospective investigation of oxygen enhanced and blood-oxygen level dependent MRI as imaging biomarkers of hypoxia in glioblastoma. Frontiers in Oncology, 13. [More Information]

show 2 more

2022

Brighi, C., Puttick, S., Li, S., Keall, P., Neville, K., Waddington, D., Bourgeat, P., Gillman, A., Fay, M. (2022). A novel semiautomated method for background activity and biological tumour volume definition to improve standardisation of 18F-FET PET imaging in glioblastoma. EJNMMI Physics, 9(1), 9. [More Information]
Brighi, C., Keall, P., Holloway, L., Walker, A., Whelan, B., de Witt Hamer, P., Verburg, N., Aly, F., Chen, C., Koh, E., Waddington, D. (2022). An investigation of the conformity, feasibility, and expected clinical benefits of multiparametric MRI-guided dose painting radiotherapy in glioblastoma. Neuro-Oncology Advances, 4(1). [More Information]
Keall, P., Brighi, C., Glide-Hurst, C., Liney, G., Liu, P., Lydiard, S., Paganelli, C., Pham, T., Shan, S., Tree, A., Waddington, D., Whelan, B., et al (2022). Integrated MRI-guided radiotherapy — opportunities and challenges. Nature Reviews Clinical Oncology, 19(7), 458-470. [More Information]
Smith, L., Kuncic, Z., Byrne, H., Waddington, D. (2022). Nanoparticles for MRI-guided radiation therapy: a review. Cancer Nanotechnology (Print): basic, translational and clinical research, 13(1). [More Information]
Brighi, C., Verburg, N., Koh, E., Walker, A., Chen, C., Pillay, S., de Witt Hamer, P., Aly, F., Holloway, L., Keall, P., Waddington, D. (2022). Repeatability of radiotherapy dose-painting prescriptions derived from a multiparametric magnetic resonance imaging model of glioblastoma infiltration. Physics And Imaging In Radiation Oncology, 23, 8-15. [More Information]
Goodburn, R., Philippens, M., Lefebvre, T., Khalifa, A., Bruijnen, T., Freedman, J., Waddington, D., Younus, E., Aliotta, E., Meliadò, G., et al (2022). The future of MRI in radiation therapy: Challenges and opportunities for the MR community. Magnetic Resonance in Medicine, 88(6), 2592-2608. [More Information]

show 3 more

2020

Liu, P., Dong, B., Nguyen, D., Ge, Y., Hewson, E., Waddington, D., O'Brien, R., Liney, G., Keall, P. (2020). First experimental investigation of simultaneously tracking two independently moving targets on an MRI-linac using real-time MRI and MLC tracking. Medical Physics, 47(12), 6440-6449. [More Information]
Waddington, D., Boele, T., Maschmeyer, R., Kuncic, Z., Rosen, M. (2020). High-sensitivity in vivo contrast for ultra-low field magnetic resonance imaging using superparamagnetic iron oxide nanoparticles. Science Advances, 6(29), 1-9. [More Information]
Boele, T., Waddington, D., Gaebel, T., Rej, E., Hasija, A., Brown, L., McCamey, D., Reilly, D. (2020). Tailored nanodiamonds for hyperpolarized C 13 MRI. Physical Review B, 101(15), 155416. [More Information]
De Deene, Y., Wheatley, M., Dong, B., Roberts, N., Jelen, U., Waddington, D., Liney, G. (2020). Towards real-time 4D radiation dosimetry on an MRI-Linac. Physics in Medicine and Biology, 65(22), 225031. [More Information]

show 1 more

2019

Waddington, D., Boele, T., Rej, E., McCamey, D., King, N., Gaebel, T., Reilly, D. (2019). Phase-Encoded Hyperpolarized Nanodiamond for Magnetic Resonance Imaging. Scientific Reports, 9(1), 1-10. [More Information]

2018

Waddington, D., Sarracanie, M., Salameh, N., Herisson, F., Ayata, C., Rosen, M. (2018). An Overhauser-enhanced-MRI platform for dynamic freeradical imaging in vivo. NMR in Biomedicine, 31(5), 1-11. [More Information]

2017

Rej, E., Gaebel, T., Waddington, D., Reilly, D. (2017). Hyperpolarized nanodiamond surfaces. Journal of the American Chemical Society, 139(1), 193-199. [More Information]
Waddington, D., Sarracanie, M., Zhang, H., Salameh, N., Glenn, D., Rej, E., Gaebel, T., Boele, T., Walsworth, R., Reilly, D., et al (2017). Nanodiamond-enhanced MRI via in situ hyperpolarization. Nature Communications, 8, 1-8. [More Information]

2015

Rej, E., Gaebel, T., Boele, T., Waddington, D., Reilly, D. (2015). Hyperpolarized nanodiamond with long spin-relaxation times. Nature Communications, 6, 1-7. [More Information]
Sarracanie, M., Lapierre, C., Salameh, N., Waddington, D., Witzel, T., Rosen, M. (2015). Low-Cost High-Performance MRI. Scientific Reports, 5(15177), 1-9. [More Information]

2013

Carrad, D., Burke, A., Reece, P., Lyttleton, R., Waddington, D., Rai, A., Reuter, D., Wieck, A., Micolich, A. (2013). The effect of (NH4)2Sx passivation on the (311)A GaAs surface and its use in AlGaAs/GaAs heterostructure devices. Journal of Physics: Condensed Matter, 25(32), 1-11. [More Information]

2012

Burke, A., Waddington, D., Carrad, D., Lyttleton, R., Tan, H., Reece, P., Klochan, O., Hamilton, A., Rai, A., et al (2012). Origin of gate hysteresis in p-type Si-doped AlGaAs/GaAs heterostructures. Physical Review B, 86, 165309. [More Information]

Selected Grants

2024

An AI Platform for Targeted Radiotherapy to Improve Cancer Patient Outcomes, Keall P, Waddington D, Hewson E, Sengupta C, Department of Health and Aged Care/MRFF 2023 National Critical Research Infrastructure
Harnessing artificial intelligence to improve MRI-guided radiotherapy for liver cancer patients, Waddington D, Tour de Cure Ltd/Early Career Researcher Grant

2023

Rewarding Research 2024, Waddington D, Faculty of Medicine and Health/FMH Rewarding Research Success
Advancing dynamic MRI to enable adaptive lung radiotherapy, Waddington D, National Health and Medical Research Council (NHMRC)/Investigator Grant

2020

SEMCAN Viral Bytes, Waddington D, Sydney Early-Mid Career Academic Network (SEMCAN)/Viral Bytes Prize
Personalising cancer radiation therapy via dynamic MRI-based adaptation to changing tumour anatomy and biology, Waddington D, Cancer Institute NSW/Early Career Fellowship

To learn more about David Waddington's work, see the following YouTube videos:

TEDxFulbrightSydney 2017 - Innovation isn't enough. We need to keep inventing.

Low-cost MRI Explainer Video - SPIONs - Improving Image Quality in Ultralow-field MRI

Faculty of Medicine and Health

Page not found

Dr David Waddington

Publications

By Type

By Year

Selected Grants

2024

2023

2020

Related research articles

Sydney researchers receive 31 Investigator grants

Missing piece identified for lower cost high quality MRI scans study

Nanodiamond tiny machines closer to reality with global finding