{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Nye JA"],"funding":["NHLBI NIH HHS"],"pagination":["5072-5084"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8455441"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["48(9)"],"pubmed_abstract":["This work expands on the implementation of three-dimensional (3D) normalized gradient fields to correct for whole-body motion and cardiac creep in [N-13]-ammonia patient studies and evaluates its accuracy using a dynamic phantom simulation model.<h4>Methods</h4>A full rigid-body algorithm was developed using 3D normalized gradient fields including a multi-resolution step and sampling off the voxel grid to reduce interpolation artifacts. Optimization was performed using a weighted similarity metric that accounts for opposing gradients between images of blood pool and perfused tissue without the need for segmentation. Forty-three retrospective dynamic [N-13]-ammonia PET/CT rest/adenosine-stress patient studies were motion corrected and the mean motion parameters plotted at each frame time po"],"journal":["Medical physics"],"pubmed_title":["Dynamic cardiac PET motion correction using 3D normalized gradient fields in patients and phantom simulations."],"pmcid":["PMC8455441"],"funding_grant_id":["R01 HL143350"],"pubmed_authors":["Hwang D","Koo BK","David Cooke C","Bom HS","Garcia EV","Piccinelli M","Lee JM","Cho SG","Nye JA","Paeng JC","Folks R"],"additional_accession":[]},"is_claimable":false,"name":"Dynamic cardiac PET motion correction using 3D normalized gradient fields in patients and phantom simulations.","description":"This work expands on the implementation of three-dimensional (3D) normalized gradient fields to correct for whole-body motion and cardiac creep in [N-13]-ammonia patient studies and evaluates its accuracy using a dynamic phantom simulation model.<h4>Methods</h4>A full rigid-body algorithm was developed using 3D normalized gradient fields including a multi-resolution step and sampling off the voxel grid to reduce interpolation artifacts. Optimization was performed using a weighted similarity metric that accounts for opposing gradients between images of blood pool and perfused tissue without the need for segmentation. Forty-three retrospective dynamic [N-13]-ammonia PET/CT rest/adenosine-stress patient studies were motion corrected and the mean motion parameters plotted at each frame time po","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 Sep","modification":"2025-04-19T01:36:15.776Z","creation":"2025-04-07T12:18:10.019Z"},"accession":"S-EPMC8455441","cross_references":{"pubmed":["34174095"],"doi":["10.1002/mp.15059"]}}