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math.OC2024
Complex extension of optical flow and its practical evaluation for undersampled dynamic MRI
Matthias J. Ehrhardt, Marco Mauritz
Reconstructing high-quality images from undersampled dynamic MRI data is a challenging task and important for the success of this imaging modality. To remedy the naturally occurrin…
math.OC2023
A Bayesian model for dynamic mass reconstruction from PET listmode data
Marco Mauritz, Bernhard Schmitzer, Benedikt Wirth
Positron emission tomography (PET) is a classical imaging technique to reconstruct the mass distribution of a radioactive material. If the mass distribution is static, this essenti…