The webinar will refresh the basics of full quantification and kinetics in nuclear neurology. Then some insights into new technologies and quantification will be given to the attendees. Learning Objectives: To improve the knowledge on the topic of full quantification in neurology and give the NM specialist the tools to think critically about the results. […]
Nuclear medicine is a quantitative imaging modality. However, its power and its vulnerabilities are not always appreciated. In this course, we will explore the formation of SPECT/CT and PET/CT imaging, and how, with corrections they can provide us with quantitative imaging biomarkers. We will look at different forms of quantification from kinetic modelling to activity concentration to SUV and explain how they can be used in a clinical environment. Finally, we will look at how scanner developments, software developments and Artificial Intelligence is influencing our field. In this course formal lectures will be supplemented with practical sessions and open discussions about Quantification in Nuclear Medicine.
This course provides a comprehensive overview of nuclear medicine imaging of coronary artery disease. General aspects, details of radiotracers utilised, examination protocols and case examples of myocardial perfusion imaging (MPI) using PET and SPECT will be discussed at the event. The focus here will be on the quantification of data (e.g. abnormality scores, myocardial blood […]
The rapid development in machine learning has generated new artificial intelligence (AI) based methods for improving dosimetry within nuclear medicine. This webinar will present the current status of AI within the dosimetry workflow for targeted radionuclide therapy. First, AI methods for reducing SPECT acquisition times, noise reduction and scatter correction will be covered. Thereafter, AI […]
Artificial intelligence with the development of deep learning has found numerous applications in the medical field over the past few years, including more specifically that of medical imaging. This includes most areas governing the medical imaging process from detector signal processing to image formation and subsequent image processing. The activity of deep learning spans from […]
This course presents and discusses the requirements and methods to enable and perform personalized dosimetry in nuclear medicine therapy. Learning Objectives The aim of this course is to provide tools and methods to implement personalized dosimetry in a clinical setup. Target Audience Nuclear medicine clinicians and medical physicists Suggested Readings "EANM enabling guide: how to […]
This webinar provides an overview of the diagnosis of cardiac amyloidosis in nuclear cardiology . Background information on amyloidosis in general is presented and typical disease manifestations are discussed. Furthermore, the significance of cardiac amyloidosis will be discussed in detail and possible therapeutic options will be explained. In this context, the relevance of quantification to […]
The webinar will provide first the fundamentals and basics of explainable artificial intelligence, including the tools for interpretability of machine and deep learning models, as well as the explainability principles. Second, it will provide how these concepts are translated and applied to the development of AI-based models for nuclear medicine applications. Learning Objectives Target Audience […]
European School of Multimodality Imaging & Therapy (ESMIT)
Schmalzhofgasse 26
1060 Vienna
Austria
phone +43 1 890 44 27
e-mail esmit@eanm.org
