{"doi":"10.1002/mrm.28970","title":"Free‐breathing multitasking multi‐echo MRI for whole‐liver water‐specific T<sub>1</sub>, proton density fat fraction, and quantification","abstract":"Purpose To develop a 3D multitasking multi‐echo (MT‐ME) technique for the comprehensive characterization of liver tissues with 5‐min free‐breathing acquisition; whole‐liver coverage; a spatial resolution of 1.5 × 1.5 × 6 mm 3 ; and simultaneous quantification of T 1 , water‐specific T 1 (T 1w ), proton density fat fraction (PDFF), and . Methods Six‐echo bipolar spoiled gradient echo readouts following inversion recovery preparation was performed to generate T 1 , water/fat, and contrast. MR multitasking was used to reconstruct the MT‐ME images with 3 spatial dimensions: 1 T 1 recovery dimension, 1 multi‐echo dimension, and 1 respiratory dimension. A basis function–based approach was developed for T 1w quantification, followed by the estimation of and T 1 ‐corrected PDFF. The intrasession repeatability and agreement against references of MT‐ME measurements were tested on a phantom and 15 clinically healthy subjects. In addition, 4 patients with confirmed liver diseases were recruited, and the agreement between MT‐ME measurements and references was assessed. Results MT‐ME produced high‐quality, coregistered T 1 , T 1w , PDFF, and maps with good intrasession repeatability and substantial agreement with references on phantom and human studies. The intra‐class coefficients of T 1 , T 1w , PDFF, and from the repeat MT‐ME measurements on clinically healthy subjects were 0.989, 0.990, 0.999, and 0.988, respectively. The intra‐class coefficients of T 1 , PDFF, and between the MT‐ME and reference measurements were 0.924, 0.987, and 0.975 in healthy subjects and 0.980, 0.999, and 0.998 in patients. The T 1w was independent to PDFF (R = −0.029, P = .904). Conclusion The proposed MT‐ME technique quantifies T 1 , T 1w , PDFF, and simultaneously and is clinically promising for the comprehensive characterization of liver tissue properties.","journal":"Magnetic Resonance in Medicine","year":2021,"id":166883,"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":33,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8551,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2021-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":693437,"name":"Tianle Cao","orcid":"0000-0003-3739-3103","position":1,"is_corresponding":false},{"id":383640,"name":"Fei Han","orcid":"0000-0002-1598-9048","position":2,"is_corresponding":false},{"id":463629,"name":"Yibin Xie","orcid":"0000-0002-0333-567X","position":3,"is_corresponding":false},{"id":341524,"name":"Xiaodong Zhong","orcid":"0000-0001-8355-5279","position":4,"is_corresponding":false},{"id":481588,"name":"Sen Ma","orcid":"0000-0001-9715-7706","position":5,"is_corresponding":false},{"id":351244,"name":"Alan C. Kwan","orcid":"0000-0002-4393-1011","position":6,"is_corresponding":false},{"id":266528,"name":"Zhaoyang Fan","orcid":"0000-0002-2693-0260","position":7,"is_corresponding":false},{"id":604766,"name":"Hui Han","orcid":"0000-0002-8890-4295","position":8,"is_corresponding":false},{"id":383639,"name":"Xiaoming Bi","orcid":"0000-0001-6286-9172","position":9,"is_corresponding":false},{"id":291021,"name":"Mazen Noureddin","orcid":"0000-0003-2127-2040","position":10,"is_corresponding":false},{"id":693438,"name":"Vibhas Deshpande","orcid":"0000-0003-0264-6553","position":11,"is_corresponding":false},{"id":383636,"name":"Anthony Christodoulou","orcid":"0000-0002-9334-8684","position":12,"is_corresponding":false},{"id":289229,"name":"Debiao Li","orcid":"0000-0001-8560-8231","position":13,"is_corresponding":false},{"id":383637,"name":"Nan Wang","orcid":"0000-0002-7616-8083","position":0,"is_corresponding":true}],"reference_count":69,"raw_metadata":null,"created_at":"2026-07-18T23:45:54.042727Z","pmid":"34418152","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":[]}