Motion correction of PET data with a joint registration functional for multi-modal data

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Michael Fieseler, Fabian Gigengack, Xiaoyi Jiang, Klaus P. Schäfers

Published: 2012, Last Modified: 12 Nov 2025ICCH 2012EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Respiratory motion is a known image degradation factor in PET imaging. A lot of research has been done in the field of motion correction of PET data. With the recent development of full-body PET/MRI, the morphological data provided by MRI is a promising source of motion information. MRI-based motion correction of PET data is a topic of active research. These approaches, however, usually do not take into account the available information provided by PET data. In this work we show results of a phantom study using a joint motion estimation approach that incorporates motion information from both PET and MRI data.