{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Vornehm M"],"funding":["NIBIB NIH HHS","NHLBI NIH HHS"],"pubmed_abstract":["Cardiovascular magnetic resonance imaging is a powerful diagnostic tool for assessing cardiac structure and function. However, traditional breath-held imaging protocols pose challenges for patients with arrhythmias or limited breath-holding capacity. This work aims to overcome these limitations by developing a reconstruction framework that enables high-quality imaging in free-breathing conditions for various dynamic cardiac MRI protocols. Multi-Dynamic Deep Image Prior (M-DIP), a novel unsupervised reconstruction framework for accelerated real-time cardiac MRI, is introduced. To capture contrast or content variation, M-DIP first employs a spatial dictionary to synthesize a time-dependent intermediate image. Then, this intermediate image is further refined using time-dependent deformation f"],"journal":["ArXiv"],"pagination":["arXiv:2412.04639v2"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11643223"],"repository":["biostudies-literature"],"pubmed_title":["Multi-dynamic deep image prior for cardiac MRI."],"pmcid":["PMC11643223"],"funding_grant_id":["R01 HL148103","R01 EB029957"],"pubmed_authors":["Ahmad R","Knoll F","Vornehm M","Han Y","Sultan MA","Chen C","Arshad SM"],"additional_accession":[]},"is_claimable":false,"name":"Multi-dynamic deep image prior for cardiac MRI.","description":"Cardiovascular magnetic resonance imaging is a powerful diagnostic tool for assessing cardiac structure and function. However, traditional breath-held imaging protocols pose challenges for patients with arrhythmias or limited breath-holding capacity. This work aims to overcome these limitations by developing a reconstruction framework that enables high-quality imaging in free-breathing conditions for various dynamic cardiac MRI protocols. Multi-Dynamic Deep Image Prior (M-DIP), a novel unsupervised reconstruction framework for accelerated real-time cardiac MRI, is introduced. To capture contrast or content variation, M-DIP first employs a spatial dictionary to synthesize a time-dependent intermediate image. Then, this intermediate image is further refined using time-dependent deformation f","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Jul","modification":"2025-08-14T03:05:31.235Z","creation":"2025-08-14T03:05:31.235Z"},"accession":"S-EPMC11643223","cross_references":{"pubmed":["39679265"]}}