{"doi":"10.1002/mrm.29109","title":"Whole‐brain steady‐state CEST at 3 T using MR Multitasking","abstract":"PURPOSE: To perform fast 3D steady-state CEST (ss-CEST) imaging using MR Multitasking. METHODS: A continuous acquisition sequence with repetitive ss-CEST modules was developed. Each ss-CEST module contains a single-lobe Gaussian saturation pulse, followed by a spoiler gradient and eight FLASH readouts (one \"training line\" + seven \"imaging lines\"). Three-dimensional Cartesian encoding was used for k-space acquisition. Reconstructed CEST images were quantified with four-pool Lorentzian fitting. RESULTS: . The total scan time was 5.5 min for 55 different frequency offsets. Quantitative CEST maps from multipool fitting showed consistent image quality across the volume. CONCLUSION: Three-dimensional ss-CEST with whole-brain coverage can be done at 3 T within 5.5 min using MR Multitasking.","journal":"Magnetic Resonance in Medicine","year":2021,"id":180802,"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":17,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9027,"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":730381,"name":"Karandeep Cheema","orcid":"0009-0007-0035-1117","position":1,"is_corresponding":false},{"id":730382,"name":"Hsu‐Lei Lee","orcid":"0000-0001-5509-5199","position":2,"is_corresponding":false},{"id":463630,"name":"Zhengwei Zhou","orcid":"0000-0002-7469-2658","position":3,"is_corresponding":false},{"id":693437,"name":"Tianle Cao","orcid":"0000-0003-3739-3103","position":4,"is_corresponding":false},{"id":481588,"name":"Sen Ma","orcid":"0000-0001-9715-7706","position":5,"is_corresponding":false},{"id":383637,"name":"Nan Wang","orcid":"0000-0002-7616-8083","position":6,"is_corresponding":false},{"id":604766,"name":"Hui Han","orcid":"0000-0002-8890-4295","position":7,"is_corresponding":false},{"id":383636,"name":"Anthony Christodoulou","orcid":"0000-0002-9334-8684","position":8,"is_corresponding":false},{"id":289229,"name":"Debiao Li","orcid":"0000-0001-8560-8231","position":9,"is_corresponding":false},{"id":730380,"name":"Pei Han","orcid":"0000-0001-8532-9339","position":0,"is_corresponding":true}],"reference_count":48,"raw_metadata":null,"created_at":"2026-07-18T23:47:57.268805Z","pmid":"34843114","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":[]}