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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture covers the different types of coincidences measured with PET, including true coincidences, random coincidences, and scattered coincidences. It explains how random and scattered events can mimic true coincidences and the methods used to distinguish them, such as energy discrimination and background subtraction. The instructor also discusses the impact of random and scattered events on PET imaging quality and strategies to reduce their occurrence.