Simultaneous PET-MR has shown promise for addressing several of the technical challenges that may degrade image quality in PET imaging, such as high noise levels, attenuation artefacts, and motion artefacts. While state-of-the-art PET image reconstruction techniques have addressed these issues separately, their combined effect has not been demonstrated. Here we introduce a single framework that integrates MR-based motion correction and anatomical guidance for improved simultaneous diagnostic cardiac PET-MR imaging. We evaluated the proposed framework on cardiac [18F]FDG PET-MR datasets and results show that, compared to conventional reconstruction algorithms, our framework results in sharper images, with increased contrast and reduced noise.
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