Boquet-Pujadas, AleixPla, Pol del AguilaUnser, Michael2024-02-162024-02-162024-02-162023-01-0110.1109/ISBI53787.2023.10230798https://infoscience.epfl.ch/handle/20.500.14299/203794WOS:001062050500475PET reconstruction algorithms have long relied on sinogram rebinning. However, as detectors grow smaller in a recent wave of cutting-edge scanners, individual sensors no longer accrue hundreds of photons. Instead, most detect a single photon or none at all, effectively turning sinogram data into point-cloud measurements. The highly heterogeneous sensitivity of these scanners is another issue. We approach sinogram rebinning in the face of these challenges with a density-estimation framework that promotes knot sparsity in an underlying spline basis.TechnologyLife Sciences & BiomedicinePositron Emission TomographyPoisson ProcessDensity EstimationHessian-Schatten Normtext::conference output::conference proceedings::conference paper