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Pseudo-MRI-Guided PET Image Reconstruction Method Based on a Diffusion Probabilistic Model
March 28, 2024, 4:45 a.m. | Weijie Gan, Huidong Xie, Carl von Gall, G\"unther Platsch, Michael T. Jurkiewicz, Andrea Andrade, Udunna C. Anazodo, Ulugbek S. Kamilov, Hongyu An, Jo
cs.CV updates on arXiv.org arxiv.org
Abstract: Anatomically guided PET reconstruction using MRI information has been shown to have the potential to improve PET image quality. However, these improvements are limited to PET scans with paired MRI information. In this work we employed a diffusion probabilistic model (DPM) to infer T1-weighted-MRI (deep-MRI) images from FDG-PET brain images. We then use the DPM-generated T1w-MRI to guide the PET reconstruction. The model was trained with brain FDG scans, and tested in datasets containing multiple …
abstract arxiv cs.cv diffusion eess.iv however image improvements information mri pet probabilistic model quality scans type work
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