Simon Stute

Unmixing Dynamic Pet Images: Combining Spatial Heterogeneity and Non-gaussian Noise

An important task when processing dynamic PET images is to identify the time-activity curves (TACs) of the pure tissues, along with their corresponding spatial proportions. This step, often referred to as unmixing or factor analysis, is based on a loss function which measures the discrepancy between…