Development of a novel system for daily patient dose verification using a transmission detector
Project overview
Project title
Project 2: Development of a novel system for daily patient dose verification using a transmission detector.
Project description
This project will develop a novel system that uses a transmission detector to provide accurate and independent verification of the dose delivered to cancer patients receiving radiotherapy. The expected outcomes are to produce an estimation-based algorithm to determine the treatment dose, reconstructed on daily verification images and a sensitivity analysis by introducing known delivery errors and validating results against independent measurements. This technology will enhance the safety and accuracy of modern radiotherapy, enabling personalised treatment assessment and improving patient outcomes.
Supervisory team
University
| Name of university supervisor | Conjoint Professor Lois Holloway |
| Name of university | University of New South Wales |
| Email address | lois.holloway@unsw.edu.au |
| Faculty | Medicine and Health |
CSIRO
| Name of CSIRO supervisor | Professor Jason Dowling |
| Email address | Jason.dowling@csiro.au |
| CSIRO Research Unit | Health and Biosecurity |
Industry
| Name of industry supervisor | Dr Sankar Arumugam |
| Name of business/organisation | South Western Sydney Local Health District |
| Email address | Sankar.Arumugam@health.nsw.gov.au |
Further details
| Primary location of student | University of New South Wales, Liverpool Hospital, Corner Elizabeth and Goulburn Streets, Liverpool NSW 2170, Australia |
| Industry engagement component location | Liverpool Cancer Therapy Centre, Liverpool Hospital, Corner Elizabeth and Goulburn Streets, Liverpool NSW 2170, Australia |
| Ideal student skillset | Essential skills A master’s or bachelor’s degree with Honours in Medical Physics, Physics, Computer Science or equivalent. Proficiency in Python and C++ programming, statistical data processing and data analysis and image processing. Be prepared to undergo onboarding to NSW Health and associated mandatory requirements. Strong analytical thinking, problem-solving abilities, and the ability to work and effectively communicate in a multidisciplinary and virtual team. Desirable skills A strong understanding of radiation therapy physics, clinical radiation dosimetry, knowledge of machine learning and statistical modelling. Experience with radiotherapy planning systems, or real-time data acquisition and analysis. |
| Application close date | Open until position filled |
| Apply | UNSW |