Abstract: A device and a method for image reconstruction for medical imaging is provided. The method comprises obtaining a lookup table of pre-computed sets of data, obtaining a PET image, dividing the PET image into subset-images of one, or more, pixels. For each subset-image of pixels in the PET image, an extended rejection sampler is used to select model-images from the lookup table, determining and outputting a representation image based on the posterior distribution.

Abstract: Disclosed is a device and a method for medical image reconstruction. The method comprises obtaining, image data of a medical scanner; obtaining a noise model for the image data from the medical scanner; obtaining an initial model indicative of expected image data properties; obtaining a mapping, wherein the mapping is indicative of a mapping from the medical scanner; determining a set of candidate images based on the image data, the noise model, the initial model, and the mapping; and determining and outputting a first representation of the image data based on the set of candidate images.

Abstract: Disclosed is a device and a method for medical image reconstruction. The method comprises obtaining, image data of a medical scanner; obtaining a noise model for the image data from the medical scanner; obtaining an initial model indicative of expected image data properties; obtaining a mapping, wherein the mapping is indicative of a mapping from the medical scanner; determining a set of candidate images based on the image data, the noise model, the initial model, and the mapping; and determining and outputting a first representation of the image data based on the set of candidate images.