Synthetic CT via Generative AI for MR-guided Radiotherapy Planning in the Abdomen and Lungs
Project overview
Project title
Synthetic CT via Generative AI for MR-guided Radiotherapy Planning in the Abdomen and Lungs
Project description
This Project will leverage artificial intelligence to develop and validate synthetic computed tomography (CT) from magnetic resonance imaging (MRI) in the abdominal and lung regions. The expected outcomes are an AI-based synthetic CT model, thorough technical and clinical validation and potential patent/licensing opportunities. This may reduce unnecessary ionising radiation of CT in patients and improve treatment efficiency during radiotherapy planning.
Supervisory team
University
| Name of university supervisor | A/Prof Xiuying Wang |
| Name of university | University of Sydney |
| Email address | xiu.wang@sydney.edu.au |
| Faculty | Faculty of Engineering |
CSIRO
| Name of CSIRO supervisor | Dr Bowen Xin |
| Email address | bowen.xin@csiro.au |
| CSIRO Business Unit | Health and Biosecurity |
Industry
| Name of industry supervisor | Dr Michaela Hoesl |
| Name of business/organisation | Siemens Healthineers (Website) |
| Email address | michaela.hoesl@siemens-healthineers.com |
Further details
| Primary location of student | CSIRO Westmead, Level 3 East Tower, IQ Building, 158-160 Hawkesbury Road, Westmead, NSW 2145, Australia |
| Industry engagement component location | Siemens Healthineers, 2 Banfield Road, Macquarie Park NSW 2113, Australia |
| Other locations | 1. University of Sydney, City Road, Darlington NSW 2008, Australia 2. Liverpool Hospital, 1 College Street, Liverpool NSW 2170, Australia 3. Calvary Mater Newcastle Hospital, Edith Street, Waratah NSW 2298, Australia |
| Ideal student skillset | Essential student skillsets include programming skills (Python), machine learning, computer vision, research skills, critical thinking, and communication skills. Desirable student skillsets include knowledge about 1) medical imaging, 2) radiotherapy, 3) software engineering skills (version control, software testing, agile methodology), |
| Application close date | Open until position filled |
| Apply | Contact A/Prof Xiuying Wang |