Rate My Professor Kelly Spurr

Spurr's research specialisations encompass mammographic image quality and evaluation systems, mammography positioning techniques and training, quality assurance in breast imaging, visual grading analysis, cone beam breast computed tomography, and computed tomography dose optimisation and image quality. She supervises higher degree research students, including PhD projects on mammography positioning impacts on image quality and patient off-centring in CT imaging. Notable publications include 'ChatGPT in medical imaging higher education' (2023), 'The influence of patient positioning on radiation dose in CT imaging: A narrative review' (2022), 'A review of mammographic image quality in Papua New Guinea' (2021), 'The impacts of vertical off-centring, tube voltage, and phantom size on computed tomography numbers: An experimental study' (2022), 'From classroom to global impact: How radiography education advances the sustainable development goals' (2024), and 'Effectiveness of ChatGPT-4o in developing continuing professional development plans for graduate radiographers' (2024). She was awarded Fellowship of the Australian Society of Medical Imaging and Radiation Therapy in 2016, along with shared recognitions for the most cited and most downloaded article in 2023. Spurr chairs the ASMIRT Breast Imaging Reference Group, reviews for the journal Radiography, and leads efforts integrating radiography education with UN Sustainable Development Goals.