{"doi":"10.1002/mrm.29346","title":"Quantification of changes in myocardial <scp>T<sub>1</sub></scp>* values with exercise cardiac <scp>MRI</scp> using a free‐breathing <scp>non‐electrocardiograph</scp> radial imaging","abstract":"Purpose To develop and evaluate a free breathing non‐electrocardiograph (ECG) myocardial T 1 * mapping sequence using radial imaging to quantify the changes in myocardial T 1 * between rest and exercise (T 1 * reactivity ) in exercise cardiac MRI (Ex‐CMR). Methods A free‐running T 1 * sequence was developed using a saturation pulse followed by three Look‐Locker inversion‐recovery experiments. Each Look‐Locker continuously acquired data as radial trajectory using a low flip‐angle spoiled gradient‐echo readout. Self‐navigation was performed with a temporal resolution of ∼100 ms for retrospectively extracting respiratory motion. The mid‐diastole phase for every cardiac cycle was retrospectively detected on the recorded electrocardiogram signal using an empirical model. Multiple measurements were performed to obtain mean value to reduce effects from the free‐breathing acquisition. Finally, data acquired at both mid‐diastole and end‐expiration are picked and reconstructed by a low‐rank plus sparsity constraint algorithm. The performance of this sequence was evaluated by simulations, phantoms, and in vivo studies at rest and after physiological exercise. Results Numerical simulation demonstrated that changes in T 1 * are related to the changes in T 1 ; however, other factors such as breathing motion could influence T 1 * measurements. Phantom T 1 * values measured using free‐running T 1 * mapping sequence had good correlation with spin‐echo T 1 values and was insensitive to heart rate. In the Ex‐CMR study, the measured T 1 * reactivity was 10% immediately after exercise and declined over time. Conclusion The free‐running T 1 * mapping sequence allows free‐breathing non‐ECG quantification of changes in myocardial T 1 * with physiological exercise. Although, absolute myocardial T 1 * value is sensitive to various confounders such as B 1 and B 0 inhomogeneity, quantification of its change may be useful in revealing myocardial tissue properties with exercise.","journal":"Magnetic Resonance in Medicine","year":2022,"id":289332,"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":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9304,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":435418,"name":"Haikun Qi","orcid":"0000-0003-4709-5185","position":1,"is_corresponding":false},{"id":881793,"name":"Amine Amyar","orcid":"0000-0002-1689-1544","position":2,"is_corresponding":false},{"id":317789,"name":"Xiaoying Cai","orcid":"0000-0002-9650-0063","position":3,"is_corresponding":false},{"id":317790,"name":"Selçuk Küçükseymen","orcid":"0000-0002-9757-3088","position":4,"is_corresponding":false},{"id":317793,"name":"Hassan Haji‐Valizadeh","orcid":"0000-0002-7652-1748","position":5,"is_corresponding":false},{"id":351704,"name":"Jennifer Rodriguez","orcid":"0000-0002-6291-9173","position":6,"is_corresponding":false},{"id":352465,"name":"Amanda Paskavitz","orcid":null,"position":7,"is_corresponding":false},{"id":354010,"name":"Patrick Pierce","orcid":"0000-0002-0774-1827","position":8,"is_corresponding":false},{"id":354011,"name":"Beth Goddu","orcid":"0009-0006-2347-2686","position":9,"is_corresponding":false},{"id":489831,"name":"Richard B. Thompson","orcid":"0000-0003-3319-4377","position":10,"is_corresponding":false},{"id":317794,"name":"Reza Nezafat","orcid":"0000-0002-1963-7138","position":11,"is_corresponding":false},{"id":489830,"name":"Rui Guo","orcid":"0000-0002-5188-6281","position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":null,"created_at":"2026-07-19T00:30:22.686776Z","pmid":"35691942","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":[]}