{"doi":"10.1002/mrm.29143","title":"Cartesian dictionary‐based native T<sub>1</sub>and T<sub>2</sub>mapping of the myocardium","abstract":"<jats:sec><jats:title>Purpose</jats:title><jats:p>To implement and evaluate a new dictionary‐based technique for native myocardial T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>mapping using Cartesian sampling.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>The proposed technique (Multimapping) consisted of single‐shot Cartesian image acquisitions in 10 consecutive cardiac cycles, with inversion pulses in cycle 1 and 5, and T<jats:sub>2</jats:sub>preparation (TE: 30 ms, 50 ms, and 70 ms) in cycles 8–10. Multimapping was simulated for different T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>, where entries corresponding to the k‐space centers were matched to acquired data. Experiments were performed in a phantom, 16 healthy subjects, and 3 patients with cardiovascular disease.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Multimapping phantom measurements showed good agreement with reference values for both T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>, with no discernable heart‐rate dependency for T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>within the range of myocardium. In vivo mean T<jats:sub>1</jats:sub>in healthy subjects was significantly higher using Multimapping (T<jats:sub>1</jats:sub>= 1114 ± 14 ms) compared to the reference (T<jats:sub>1</jats:sub>= 991 ± 26 ms) (<jats:italic>p</jats:italic>&lt; 0.01). Mean Multimapping T<jats:sub>2</jats:sub>(47.1 ± 1.3 ms) and T<jats:sub>2</jats:sub>spatial variability (5.8 ± 1.0 ms) was significantly lower compared to the reference (T<jats:sub>2</jats:sub>= 54.7 ± 2.2 ms,<jats:italic>p</jats:italic>&lt; 0.001; spatial variability = 8.4 ± 2.0 ms,<jats:italic>p</jats:italic>&lt; 0.01). Increased T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>was detected in all patients using Multimapping.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Multimapping allows for simultaneous native myocardial T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>mapping with a conventional Cartesian trajectory, demonstrating promising in vivo image quality and parameter quantification results.</jats:p></jats:sec>","journal":"Magnetic Resonance in Medicine","year":2022,"id":618459,"datarank":0.515098080672772,"base_score":3.4339872044851463,"endowment":3.4339872044851463,"self_citation_contribution":0.515098080672772,"citation_network_contribution":0.0,"self_endowment_contribution":0.515098080672772,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":30,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1595485,"name":"Markus Henningsson","orcid":"0000-0001-6142-3005","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Cartesian dictionary‐based native T<sub>1</sub>and T<sub>2</sub>mapping of the myocardium","abstract":"<jats:sec><jats:title>Purpose</jats:title><jats:p>To implement and evaluate a new dictionary‐based technique for native myocardial T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>mapping using Cartesian sampling.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>The proposed technique (Multimapping) consisted of single‐shot Cartesian image acquisitions in 10 consecutive cardiac cycles, with inversion pulses in cycle 1 and 5, and T<jats:sub>2</jats:sub>preparation (TE: 30 ms, 50 ms, and 70 ms) in cycles 8–10. Multimapping was simulated for different T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>, where entries corresponding to the k‐space centers were matched to acquired data. Experiments were performed in a phantom, 16 healthy subjects, and 3 patients with cardiovascular disease.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Multimapping phantom measurements showed good agreement with reference values for both T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>, with no discernable heart‐rate dependency for T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>within the range of myocardium. In vivo mean T<jats:sub>1</jats:sub>in healthy subjects was significantly higher using Multimapping (T<jats:sub>1</jats:sub>= 1114 ± 14 ms) compared to the reference (T<jats:sub>1</jats:sub>= 991 ± 26 ms) (<jats:italic>p</jats:italic>&lt; 0.01). Mean Multimapping T<jats:sub>2</jats:sub>(47.1 ± 1.3 ms) and T<jats:sub>2</jats:sub>spatial variability (5.8 ± 1.0 ms) was significantly lower compared to the reference (T<jats:sub>2</jats:sub>= 54.7 ± 2.2 ms,<jats:italic>p</jats:italic>&lt; 0.001; spatial variability = 8.4 ± 2.0 ms,<jats:italic>p</jats:italic>&lt; 0.01). Increased T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>was detected in all patients using Multimapping.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>Multimapping allows for simultaneous native myocardial T<jats:sub>1</jats:sub>and T<jats:sub>2</jats:sub>mapping with a conventional Cartesian trajectory, demonstrating promising in vivo image quality and parameter quantification results.</jats:p></jats:sec>","is_dataset_classified":null,"base_score":3.4339872044851463,"endowment":3.4339872044851463,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"34985143","pmcid":null,"openalex_id":"https://openalex.org/W4206646954","authors":[],"funders":[{"funder_name":"Vetenskapsrådet","grant_id":"2018‐04164","title":null},{"funder_name":"Swedish Research Council","grant_id":"unidentified","title":"unidentified"}],"total_grants":2,"fwci":3.2555,"citation_percentile":0.92454434,"influential_citations":0,"citation_trend":[{"year":2022,"count":4},{"year":2023,"count":5},{"year":2024,"count":9},{"year":2025,"count":7},{"year":2026,"count":4}],"oa_status":"hybrid","license":"cc-by-nc","oa_locations":[{"url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.29143","host_type":"journal"},{"url":"https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/mrm.29143","host_type":"publisher"},{"url":"https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.29143","host_type":"publisher"},{"url":"https://onlinelibrary.wiley.com/doi/full-xml/10.1002/mrm.29143","host_type":"publisher"},{"url":"https://doi.org/10.1002/mrm.29143","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/34985143","host_type":"repository"},{"url":"https://dx.doi.org/10.48550/arxiv.2110.02317","host_type":""},{"url":"http://arxiv.org/abs/2110.02317","host_type":""},{"url":"http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-182353","host_type":""}],"fields_of_study":["Advanced MRI Techniques and Applications","Cardiac Imaging and Diagnostics","Atomic and Subatomic Physics Research","03 medical and health sciences","0302 clinical medicine"],"mesh_terms":["Heart","Humans","Myocardium","Reference Values","Reproducibility of Results","Phantoms, Imaging"],"keywords":["Imaging phantom","Cartesian coordinate system","Nuclear medicine","Image quality","Medicine","Cardiac cycle","In vivo","Mathematics","T2 weighted","Radiology","Artificial intelligence","Computer science","Image (mathematics)","Cardiology","Magnetic resonance imaging","Biology","Phantoms, Imaging","Myocardium","Image and Video Processing (eess.IV)","Medical Laboratory Technologies","Reproducibility of Results","FOS: Physical sciences","Heart","Electrical Engineering and Systems Science - Image and Video Processing","cardiac magnetic resonance fingerprinting; Cartesian sampling; dictionary matching; T-1 mapping; T-2 mapping","Physics - Medical Physics","Medicinsk laboratorieteknik","Reference Values","FOS: Electrical engineering, electronic engineering, information engineering","Humans","Medical Physics (physics.med-ph)"],"sdg_mappings":[{"sdg_number":0,"sdg_label":"Good health and well-being"}],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-03T04:27:50.781215Z","pmid":null,"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":[]}