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A novel method for monitoring tumour and organ motion during radiation therapy using Bayesian statistics.

Summary

Tracking tumour motion is an essential step in radiation therapy to reduce treatment side effects and improve treatment effectiveness. In this project you will be developing novel methods to track the position of the tumour and surrounding tissues during radiation therapy by analysing images acquired during treatment.

Supervisor

Professor Paul Keall.

Research location

Sydney Medical School - Generic

Synopsis

The aim of this project is to develop methods for tracking the position of the tumour and surrounding organs during radiation therapy. One such method includes using modelling methods based on Bayesian statistics to generate an estimate of the motion from multiple X-ray image acquired during treatment. The main focus of this project is for people with head and neck tumours as treating these types of tumours requires a high level of accuracy to avoid excess radiation to the surrounding critical organs, however this project could also be expanded to other tumour areas such as lung, breast and liver cancers.

Our team undertakes a broad range of internationally significant research and development activities in cancer imaging and targeted radiotherapy that span basic research through to clinical trials of new technology. It is a multidisciplinary team of physicists, engineers, mathematicians and software developers that has strong links with clinicians/hospitals and industry. Students will be encouraged and supported to attend local and international conferences and to publish their work in high-impact journals.

Additional information

This opportunity is located at the Australian Technology Park, Redfern.

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Opportunity ID

The opportunity ID for this research opportunity is 3206

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