Document Detail


MRI-based motion correction of thoracic PET: initial comparison of acquisition protocols and correction strategies suitable for simultaneous PET/MRI systems.
MedLine Citation:
PMID:  21938440     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
OBJECTIVES: Magnetic resonance imaging (MRI) acquired on equipment capable of simultaneous MRI and positron emission tomography (PET) could potentially provide the gold standard method for motion correction of PET. To assess the latter, in this study we compared fast 2D and 3D MRI of the torso and used deformation parameters from real MRI data to correct simulated PET data for respiratory motion. METHODS: PET sinogram data were simulated using SimSET from a 4D pseudo-PET image series created by segmenting MR images acquired over a respiratory cycle. Motion-corrected PET images were produced using post-reconstruction registration (PRR) and motion-compensated image reconstruction (MCIR). RESULTS: MRI-based motion correction improved PET image quality at the lung-liver and lung-spleen boundaries and in the heart but little improvement was obtained where MRI contrast was low. The root mean square error in SUV units per voxel compared to a motion-free image was reduced from 0.0271 (no motion correction) to 0.0264 (PRR) and 0.0250 (MCIR). CONCLUSIONS: Motion correction using MRI can improve thoracic PET images but there are limitations due to the quality of fast MRI.
Authors:
Nikolaos Dikaios; David Izquierdo-Garcia; Martin J Graves; Venkatesh Mani; Zahi A Fayad; Tim D Fryer
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-9-22
Journal Detail:
Title:  European radiology     Volume:  -     ISSN:  1432-1084     ISO Abbreviation:  -     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-9-22     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9114774     Medline TA:  Eur Radiol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Wolfson Brain Imaging Centre, Department of Clinical Neurosciences, University of Cambridge, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK.
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