18 December 2019
Remove the Mask receives $600,000 funding from Cancer Australia
The Morrison Government has today announced the awarding of $8.9 million for cancer research in Australia, through Cancer Australia’s Priority-driven Collaborative Cancer Research Scheme (PdCCRS).
Remove the Mask received $600,000 as part of the funding round, which will be used to develop a surface guidance technology for the treatment of head and neck cancers that will reduce anxiety and stress in radiotherapy patients, by Professor Paul Keall at the University of Sydney.
Prize winning PhD Candidates at MedPhys 2019
It is with great pride that we congratulate our higher degree students for their exceptional presentations at Medphys 2019, the annual event hosted by The Australasian College of Physical Scientists & Engineers in Medicine (ACPSEM) NSW Branch.
Natasha Morton was awarded Best Postgraduate PhD for Creating clearer images for clinical use: syncing patient breathing to CT imaging.
Nicholas Hindley was awarded Most Outstanding Presentation for Real-time direct diaphragm tracking during lung cancer radiotherapy.
Congratulations Nicholas Hindley – Fulbright Scholarship Awarded
Nick Hindley has received the prestigious Fulbright Foreign Student Program.
He will spend part of next year at Massachusetts General Hospital/Harvard Medical School, in addition to visiting other sites where machine learning and image reconstruction are strong themes.
Respiration-guided imaging method could set a new benchmark for cancer imaging.
Researchers at the University of Sydney have used a cancer patient’s breathing signal to guide the acquisition of a pre-treatment CBCT scan, commonly used when planning radiotherapy for cancer patients. This milestone scan marks the beginning of the ADAPT clinical trial, which is expected to demonstrate a dramatic improvement in image quality whilst reducing imaging time and radiation dose by 75% for cancer patients.
In current cancer imaging, patients are imaged continuously as they breathe. The motion of the lungs during imaging results in blurring and streaks which degrade the clarity of the image. In the ADAPT Trial, the patient’s breathing signal is used to adapt and move the imaging machine and also to determine the optimum time in the breathing cycle to acquire the image, resulting in dramatically clearer and more accurate images, with a lower radiation dose delivered to the patient.
“Clearer images are integral to providing even more effective radiotherapy treatment. The better we can see the cancer, the more accurately we can treat it.” says A/Prof Ricky O’Brien, who is leading the trial at the University of Sydney in collaboration with Liverpool Hospital. The technology was the subject of an NHMRC grant and achievement award in 2011 which topped 3500 grant applications.
“The ADAPT Trial is the touchpoint where the core concept of the ACRF Image X Institute’s Patient Connected Imaging Program begins to have a real-world impact on the lives of cancer patients.” Connecting the patient’s physiological signals to the imaging system signifies a major step forward in cancer imaging technology, which can in turn result in a more personalised, effective treatment for each patient.”, says Professor Paul Keall, director of the ACRF Image X Institute at the University of Sydney
The ADAPT trial (full name Adaptive CT acquisition for personalised thoracic imaging: A Phase 1 Pilot Study on the Use of Respiratory Motion Guided 4DCBCT for Lung Cancer Radiotherapy) is the result of collaborations forged between ACRF Image X Institute, the Netherlands Cancer Institute and Liverpool Hospital.
Crowdfunding – Remove the Mask
We’re joining forces with cancer survivors to crowdfund a project which is set to revolutionise radiation therapy for people with head & neck cancer. If successful, we’ll be on the path to reducing the debilitating anxiety and fear experienced by hundreds of thousands of people every year who must wear a mask for their radiation therapy.
Through our work on other cancer sites including breast, prostate, liver and lung, we’ve already developed two of the technologies needed to be able to remove the mask. With your help, we can develop the final piece of the puzzle – surface mapping technology, which will monitor the position of the patient.
You can make a donation or keep up to date with the campaign here.
14 April 2019
Physics World – Feature Article
Our work to improve cardiac diagnostic imaging is in the spotlight, with a feature article on our recent ACROBEAT publication.
“Cardiac images reconstructed using the conventional protocol contained streak and blurring artefacts for all three ECG traces. In all ACROBEAT simulations, these artefacts almost completely disappeared.”
Read the full article here.