2 papers
eess.IV2025
Filling of incomplete sinograms from sparse PET detector configurations using a residual U-Net
Klara Leffler, Luigi Tommaso Luppino, Samuel Kuttner +2
Long axial field-of-view PET scanners offer increased field-of-view and sensitivity compared to traditional PET scanners. However, a significant cost is associated with the densely…
eess.IV2025
A robust and versatile deep learning model for prediction of the arterial input function in dynamic small animal FDG PET imaging
Christian Salomonsen, Luigi T Luppino, Fredrik Aspheim +7
Dynamic positron emission tomography (PET) and kinetic modeling are pivotal in advancing tracer development research in small animal studies. Accurate kinetic modeling requires pre…