Hosted by the School of Medicine at Cardiff University
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An important goal of modern oncology is to improve patient outcomes by identifying those who are likely to benefit the most from a specific treatment. Medical imaging has traditionally relied on visual interpretation to guide assessment; however, the emergence of artificial intelligence and big data has enabled a technological revolution. Advances in digital imaging and computing now allows for high-throughput extraction of many quantitative imaging features (radiomics), providing new opportunities for improved cancer detection and diagnosis, enhanced decision making and ultimately improved treatments. This lecture provides a primer on radiomics techniques for quantitative medical image analysis. It will discuss the importance of standardisation, and review challenges and opportunities with the development of non-invasive imaging biomarkers and the potential implementation of personalised decision-making approaches.
Professor Emiliano Spezi is Director of Research at Cardiff University School of Engineering, a Fellow of the Institute of Physics and Engineering in Medicine and a chartered Member of the Institute of Physics. He is a state registered Clinical Scientist with 15+ years working experience in Research and Development in the National Health Service, where he now holds honorary position with Velindre University NHS Trust at Velindre Cancer Centre. Emiliano’s post-doctoral research focused on the development of computational models to improve external beam radiotherapy, imaging and molecular radiotherapy. His current research interests centre on three main areas: (1) Quantitative Imaging Biomarkers and Radiomics, (2) Image Guidance for Precision Medicine, (3) Modelling in Radiation Oncology.