Approximately 40% of cancer patients benefit from radiotherapy. Radiotherapy involves highly targeted radiation beams directed at the tumour, whilst avoiding surrounding normal tissues. Anatomical variations introduce targeting uncertainty in the process. Adaptive radiotherapy incorporates medical imaging at multiple time points during radiotherapy delivery with adaptation of treatment geometry to allow improved targeting of the radiation.
This project involves application of advanced image analysis and reconstruction to efficiently identify tumour and other anatomy in medical images, compute potential benefits of radiotherapy adaptation on a per-patient basis and generation of new radiotherapy treatment planning geometry.
This project would suit a PhD student with a strong background in image analysis and or machine learning. Study results will directly improve our ability to target radiotherapy treatments and will have directly translatable outcomes into the clinic.
Physical Sciences Research: Medical physicists play a key role in underpinning high quality medical imaging and the planning and delivery of radiation therapy treatments at Peter Mac. We collaborate extensively with oncologists, radiation therapists, laboratory researchers, imaging scientists and cancer surgeons. A major strength of our research program is the ability of our medical physicists and biomedical engineers to turn ideas into evidence-based clinical practice. This has led to many successful innovations such as a computer controlled rotating turntable for whole body electron treatments, artificial intelligence for organ segmentation and image analysis, tools to ensure high quality clinical trials and the development of a device for tracking retinal motion during radiotherapy. https://www.petermac.org/research/clinical-research-trials/clinical-research/physical-sciences-research
Peter MacCallum Cancer Centre, Melbourne Australia
Peter MacCallum Cancer Centre is Australia’s only public hospital solely dedicated to cancer, and home to the largest cancer research group in Australia. Cancer is a complex set of diseases, and modern cancer research institutes such as Peter Mac conduct research covering a diversity of topics that range from laboratory-based studies into the fundamental mechanisms of cell growth, translational studies that seek more accurate cancer diagnosis, clinical trials with novel treatments, and research aimed to improve supportive care.
All students engaged in postgraduate studies at Peter Mac are enrolled in the Comprehensive Cancer PhD (CCPhD) program, regardless of which university they are enrolled through. The program is managed by the Sir Peter MacCallum Department of Oncology (The University of Melbourne), based at Peter Mac.
Tapping into the depth and breadth of knowledge and experience offered by the ten partners of the Victorian Comprehensive Cancer Centre (VCCC) alliance, the University of Melbourne’s Comprehensive Cancer PhD Program provides a unique opportunity for multidisciplinary cancer-related PhD candidates to experience clinical and research activities across the alliance.
The Comprehensive Cancer PhD program builds on established conventional training for cancer research students providing a coordinated program of skills, research and career training in addition to usual PhD activities. The program is designed to complement existing PhD activities and provides opportunities to develop professional skills that will help candidates to fulfil their career ambitions. https://www.petermac.org/education/comprehensive-cancer-phd-program
All PhD students at Peter Mac must have a scholarship from The University of Melbourne or through another government, trust or philanthropic organisation. Before applying for a scholarship, you must have agreed on a project with an institute supervisor.
For further information about the university application process, see:
For further information regarding scholarships (both local and international), see:
Closing dates for applications for scholarships to commence in 2019: Round 1 -31 October 2018; Round 2 - 28 Nov 2018; Round 3 - 20 Feb 2019.