{"doi":"10.1002/mrm.28275","title":"Magnetic resonance multitasking for multidimensional assessment of cardiovascular system: Development and feasibility study on the thoracic aorta","abstract":"PURPOSE: To develop an MR multitasking-based multidimensional assessment of cardiovascular system (MT-MACS) with electrocardiography-free and navigator-free data acquisition for a comprehensive evaluation of thoracic aortic diseases. METHODS: -prepared inversion-recovery dimension for multicontrast assessment. Twelve healthy subjects and 2 patients with thoracic aortic diseases were recruited for the study at 3 T, and both qualitative (image quality score) and quantitative (contrast-to-noise ratio between lumen and wall, lumen and wall area, and aortic strain index) analyses were performed in all healthy subjects. The overall image quality was scored based on a 4-point scale: 3, excellent; 2, good; 1, fair; and 0, poor. Statistical analysis was used to test the measurement agreement between MT-MACS and its corresponding 2D references. RESULTS: The MT-MACS images reconstructed from acquisitions as short as 6 minutes demonstrated good or excellent image quality for bright-blood (2.58 ± 0.46), dark-blood (2.58 ± 0.50), and gray-blood (2.17 ± 0.53) contrast weightings, respectively. The contrast-to-noise ratios for the three weightings were 49.2 ± 12.8, 20.0 ± 5.8 and 2.8 ± 1.8, respectively. There were good agreements in the lumen and wall area (intraclass correlation coefficient = 0.993, P < .001 for lumen; intraclass correlation coefficient = 0.969, P < .001 for wall area) and strain (intraclass correlation coefficient = 0.947, P < .001) between MT-MACS and conventional 2D sequences. CONCLUSION: The MT-MACS technique provides high-quality, multidimensional images for a comprehensive assessment of the thoracic aorta. Technical feasibility was demonstrated in healthy subjects and patients with thoracic aortic diseases. Further clinical validation is warranted.","journal":"Magnetic Resonance in Medicine","year":2020,"id":72853,"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":0.867,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":383636,"name":"Anthony Christodoulou","orcid":"0000-0002-9334-8684","position":1,"is_corresponding":false},{"id":383637,"name":"Nan Wang","orcid":"0000-0002-7616-8083","position":2,"is_corresponding":false},{"id":383638,"name":"Jaime L. Shaw","orcid":"0000-0003-2730-5982","position":3,"is_corresponding":false},{"id":249937,"name":"Shlee Song","orcid":"0000-0002-7838-0205","position":4,"is_corresponding":false},{"id":371318,"name":"M. Marcel Maya","orcid":"0000-0001-8236-7671","position":5,"is_corresponding":false},{"id":319241,"name":"Mariko Ishimori","orcid":null,"position":6,"is_corresponding":false},{"id":253213,"name":"Lindsy Forbess","orcid":null,"position":7,"is_corresponding":false},{"id":266527,"name":"Jiayu Xiao","orcid":"0000-0001-7478-6534","position":8,"is_corresponding":false},{"id":383639,"name":"Xiaoming Bi","orcid":"0000-0001-6286-9172","position":9,"is_corresponding":false},{"id":383640,"name":"Fei Han","orcid":"0000-0002-1598-9048","position":10,"is_corresponding":false},{"id":289229,"name":"Debiao Li","orcid":"0000-0001-8560-8231","position":11,"is_corresponding":false},{"id":266528,"name":"Zhaoyang Fan","orcid":"0000-0002-2693-0260","position":12,"is_corresponding":false},{"id":383635,"name":"Zhehao Hu","orcid":"0000-0002-5813-2925","position":0,"is_corresponding":true}],"reference_count":42,"raw_metadata":null,"created_at":"2026-07-18T21:45:09.279825Z","pmid":"32301164","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":[]}