PET respiratory motion correction: quo vadis?

• Published in: Physics in medicine & biology Vol. 67; no. 3; pp. 3 - 29
• Main Authors: Lamare, F, Bousse, A, Thielemans, K, Liu, C, Merlin, T, Fayad, H, Visvikis, D
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 01.02.2022
• Subjects: Algorithms; gating methodologies; Humans; Image Processing, Computer-Assisted - methods; image reconstruction; Life Sciences; Magnetic Resonance Imaging - methods; Motion; Movement; Multimodal Imaging - methods; Neurons and Cognition; PET; Positron Emission Tomography Computed Tomography; Positron-Emission Tomography - methods; respiratory motion correction; respiratory motion correction; image reconstruction; gating methodologies; PET; Positron Emission Tomography Computed Tomography; Multimodal Imaging; Motion; Magnetic Resonance Imaging; Artifacts; Movement; Algorithms; Image Processing; Humans; Positron-Emission Tomography; Computer-Assisted
• ISSN: 0031-9155; 1361-6560; 1361-6560
• DOI: 10.1088/1361-6560/ac43fc

Positron emission tomography (PET) respiratory motion correction has been a subject of great interest for the last twenty years, prompted mainly by the development of multimodality imaging devices such as PET/computed tomography (CT) and PET/magnetic resonance imaging (MRI). PET respiratory motion correction involves a number of steps including acquisition synchronization, motion estimation and finally motion correction. The synchronization steps include the use of different external device systems or data driven approaches which have been gaining ground over the last few years. Patient specific or generic motion models using the respiratory synchronized datasets can be subsequently derived and used for correction either in the image space or within the image reconstruction process. Similar overall approaches can be considered and have been proposed for both PET/CT and PET/MRI devices. Certain variations in the case of PET/MRI include the use of MRI specific sequences for the registration of respiratory motion information. The proposed review includes a comprehensive coverage of all these areas of development in field of PET respiratory motion for different multimodality imaging devices and approaches in terms of synchronization, estimation and subsequent motion correction. Finally, a section on perspectives including the potential clinical usage of these approaches is included.