Dr Owen Dillon
People_

Dr Owen Dillon

PhD
Research Fellow
Discipline of Medical Imaging Sciences
Faculty of Medicine and Health
Dr Owen Dillon

Owen Dillon completed his B.Sc in Physics and Applied Mathematics in 2013, First class honours in Mathematics in 2015 and Ph.D Thesis in Mathematics in 2018, each at the University of Auckland. His research focused on probabilistic compression algorithms and model reduction for Bayesian Inverse Problems. He also has experience in economic research on behalf of Maori Iwi and the New Zealand Ministry of Business, Innovation and Employment, and medical engineering experience working with Fisher and Paykel Healthcare.

His research interests include Inverse Problems, Bayesian statistics, uncertainty quantification and linear algebra. He joined the Image-X institute in 2018 to work on 4D cone-beam CT image reconstruction, with the aim of producing high quality real-time reconstructions of moving anatomy. In his spare time, Owen enjoys cooking and exploring Sydney.

Computed Tomography

Image Reconstruction and Processing

Inverse Problems

Bayesian Statisitcs

Linear Algebra

Functional Analysis

Inverse Problems

Statistics

Optimisation of acquisition geometry for x-ray computed tomography.

Motion compensated acquisition and reconstruction for 4D x-ray imaging.

Estimation of anatomical motion.

American Association of Physicists in Medicine.

Dodd-Walls Centre for Photonic and Quantum Technologies.

ACRF Image X Institute.

Cancer
Project titleResearch student
Dose Modulation and Optimisation in Interventional Radiology ProceduresJad BOUTROS
Real-time monitoring of head and neck motion using x-ray and surface imaging to improve radiation therapy for cancer patientsChen CHENG

Publications

Journals

  • Gardner, M., Dillon, O., Byrne, H., Keall, P., O’Brien, R. (2024). Data-driven rapid 4D cone-beam CT reconstruction for new generation linacs. Physics in Medicine and Biology, 69(18), 18NT02. [More Information]
  • Reynolds, T., Dillon, O., Ma, Y., Hindley, N., Stayman, J., Bazalova-Carter, M. (2024). Investigating 4D respiratory cone-beam CT imaging for thoracic interventions on robotic C-arm systems: a deformable phantom study. Physical and Engineering Sciences in Medicine. [More Information]
  • Hewson, E., Dillon, O., Poulsen, P., Booth, J., Keall, P. (2024). Six-degrees-of-freedom pelvic bone monitoring on 2D kV intrafraction images to enable multi-target tracking for locally advanced prostate cancer. Medical Physics. [More Information]

2024

  • Gardner, M., Dillon, O., Byrne, H., Keall, P., O’Brien, R. (2024). Data-driven rapid 4D cone-beam CT reconstruction for new generation linacs. Physics in Medicine and Biology, 69(18), 18NT02. [More Information]
  • Reynolds, T., Dillon, O., Ma, Y., Hindley, N., Stayman, J., Bazalova-Carter, M. (2024). Investigating 4D respiratory cone-beam CT imaging for thoracic interventions on robotic C-arm systems: a deformable phantom study. Physical and Engineering Sciences in Medicine. [More Information]
  • Hewson, E., Dillon, O., Poulsen, P., Booth, J., Keall, P. (2024). Six-degrees-of-freedom pelvic bone monitoring on 2D kV intrafraction images to enable multi-target tracking for locally advanced prostate cancer. Medical Physics. [More Information]

2023

  • Lau, B., Dillon, O., Vinod, S., O'Brien, R., Reynolds, T. (2023). Faster and lower dose imaging: evaluating adaptive, constant gantry velocity and angular separation in fast low-dose 4D cone beam CT imaging. Medical Physics. [More Information]
  • Reynolds, T., Hatamikia, S., Ma, Y., Dillon, O., Gang, G., Stayman, J., O'Brien, R. (2023). Technical note: Extended longitudinal and lateral 3D imaging with a continuous dual-isocenter CBCT scan. Medical Physics, 50(4), 2372-2379. [More Information]
  • Blake, S., Dillon, O., Byrne, H., O'Brien, R. (2023). Thoracic motion-compensated cone-beam computed tomography in under 20 seconds on a fast-rotating linac: A simulation study. Journal of Applied Clinical Medical Physics, 24(3). [More Information]

2022

  • Reynolds, T., Ma, Y., Kanawati, A., Constantinidis, A., Williams, Z., Gang, G., Dillon, O., Russ, T., Wang, W., Ehtiati, T., O'Brien, R., et al (2022). Extended Intraoperative Longitudinal 3-Dimensional Cone Beam Computed Tomography Imaging With a Continuous Multi-Turn Reverse Helical Scan. Investigative Radiology, 57(11), 764-772. [More Information]
  • Lau, B., Reynolds, T., Keall, P., Sonke, J., Vinod, S., Dillon, O., O'Brien, R. (2022). Reducing 4DCBCT imaging dose and time: Exploring the limits of adaptive acquisition and motion compensated reconstruction. Physics in Medicine and Biology, 67(6). [More Information]

2021

  • Reynolds, T., Dillon, O., Prinable, J., Whelan, B., Keall, P., O'Brien, R. (2021). Adaptive CaRdiac cOne BEAm computed Tomography (ACROBEAT): Developing the next generation of cardiac cone beam CT imaging. Medical Physics, 48(5), 2543-2552. [More Information]
  • Lau, B., Reynolds, T., Wallis, A., Smith, S., George, A., Keall, P., Sonke, J., Vinod, S., Dillon, O., O'Brien, R. (2021). Reducing 4DCBCT scan time and dose through motion compensated acquisition and reconstruction. Physics in Medicine and Biology, 66(7), 75002. [More Information]
  • Gardner, M., Dillon, O., Shieh, C., O'Brien, R., Debrot, E., Barber, J., Ahern, V., Bennett, P., Heng, S., Corde, S., Keall, P., et al (2021). The adaptation and investigation of cone-beam CT reconstruction algorithms for horizontal rotation fixed-gantry scans of rabbits. Physics in Medicine and Biology, 66(10), 105012. [More Information]

2020

  • Dillon, O., Keall, P., Shieh, C., O'Brien, R. (2020). Evaluating reconstruction algorithms for respiratory motion guided acquisition. Physics in Medicine and Biology, 65(17), 175009. [More Information]
  • Reynolds, T., Dillon, O., Prinable, J., Whelan, B., Keall, P., O'Brien, R. (2020). Toward improved 3D carotid artery imaging with Adaptive CaRdiac cOne BEAm computed Tomography (ACROBEAT). Medical Physics, 47(11), 5749-5760. [More Information]

Selected Grants

2024

  • Quantum CT for Cancer Diagnosis in Any Australian Clinic, Dillon O, Department of Industry, Science and Resources/Critical Technologies Challenge Program Stage 1 Feasibility Grant
  • How are you breathing today? Embedding functional imaging throughout radiation therapy to improve lung cancer patient outcomes, Byrne H, Dillon O, Cancer Australia/Priority Driven Collaborative Cancer Research Scheme