{"doi":"10.1002/mrm.29534","title":"Motion guidance lines for robust data consistency–based retrospective motion correction in <scp>2D</scp> and <scp>3D MRI</scp>","abstract":"PURPOSE: To develop a robust retrospective motion-correction technique based on repeating k-space guidance lines for improving motion correction in Cartesian 2D and 3D brain MRI. METHODS: The motion guidance lines are inserted into the standard sequence orderings for 2D turbo spin echo and 3D MPRAGE to inform a data consistency-based motion estimation and reconstruction, which can be guided by a low-resolution scout. The extremely limited number of required guidance lines are repeated during each echo train and discarded in the final image reconstruction. Thus, integration within a standard k-space acquisition ordering ensures the expected image quality/contrast and motion sensitivity of that sequence. RESULTS: Through simulation and in vivo 2D multislice and 3D motion experiments, we demonstrate that respectively 2 or 4 optimized motion guidance lines per shot enables accurate motion estimation and correction. Clinically acceptable reconstruction times are achieved through fully separable on-the-fly motion optimizations (˜1 s/shot) using standard scanner GPU hardware. CONCLUSION: The addition of guidance lines to scout accelerated motion estimation facilitates robust retrospective motion correction that can be effectively introduced without perturbing standard clinical protocols and workflows.","journal":"Magnetic Resonance in Medicine","year":2023,"id":342214,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":14,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9594,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1079226,"name":"Julian Hoßbach","orcid":null,"position":1,"is_corresponding":false},{"id":365477,"name":"Daniel Nicolas Splitthoff","orcid":null,"position":2,"is_corresponding":false},{"id":379443,"name":"Bryan Clifford","orcid":"0000-0002-1966-0581","position":3,"is_corresponding":false},{"id":364090,"name":"Wei‐Ching Lo","orcid":"0000-0002-1893-0500","position":4,"is_corresponding":false},{"id":314187,"name":"Azadeh Tabari","orcid":"0000-0002-5685-6401","position":5,"is_corresponding":false},{"id":256383,"name":"Min Lang","orcid":"0000-0002-3895-5342","position":6,"is_corresponding":false},{"id":263270,"name":"Susie Y. Huang","orcid":"0000-0003-2950-7254","position":7,"is_corresponding":false},{"id":364087,"name":"John Conklin","orcid":"0000-0001-9921-2086","position":8,"is_corresponding":false},{"id":241418,"name":"Lawrence L. Wald","orcid":"0000-0001-8278-6307","position":9,"is_corresponding":false},{"id":241412,"name":"Stephen Cauley","orcid":"0000-0002-6147-6016","position":10,"is_corresponding":false},{"id":344032,"name":"Daniel Polak","orcid":"0000-0001-9781-1528","position":0,"is_corresponding":true}],"reference_count":39,"raw_metadata":null,"created_at":"2026-07-19T01:11:12.506815Z","pmid":"36744619","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}