{"doi":"10.1002/mrm.29992","title":"Improved test–retest reliability of R2*$$ {\\mathrm{R}}_2^{\\ast } $$ and susceptibility quantification using multishot multi‐echo <scp>3D EPI</scp>","abstract":"Abstract Purpose This study aimed to evaluate the potential of 3D EPI for improving the reliability of ‐weighted data and quantification of decay rate and susceptibility ( χ ) compared with conventional gradient‐echo (GRE)‐based acquisition. Methods Eight healthy subjects in a wide age range were recruited. Each subject received repeated scans for both GRE and EPI acquisitions with an isotropic 1 mm resolution at 3 T. Maps of and χ were quantified, and their interscan differences were used to evaluate the test–retest reliability. Interprotocol differences of and χ between GRE and EPI were also measured voxel by voxel and in selected regions of interest to test the consistency between the two acquisition methods. Results The quantifications of and χ using EPI protocols showed increased test–retest reliability with higher EPI factors up to 5 as performed in the experiment and were consistent with those based on GRE. Conclusion The result suggests that multishot multi‐echo 3D EPI can be a useful alternative acquisition method for ‐weighted MRI and quantification of and χ with reduced scan time, improved test–retest reliability, and similar accuracy compared with commonly used 3D GRE.","journal":"Magnetic Resonance in Medicine","year":2023,"id":366622,"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":6,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9574,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":315435,"name":"Lin Chen","orcid":"0000-0002-6110-3551","position":1,"is_corresponding":false},{"id":315440,"name":"Xu Li","orcid":"0000-0002-4350-3375","position":2,"is_corresponding":false},{"id":725858,"name":"Jiaen Liu","orcid":"0000-0001-7968-8431","position":3,"is_corresponding":false},{"id":1078843,"name":"Yujia Huang","orcid":"0000-0003-1260-2423","position":0,"is_corresponding":true}],"reference_count":36,"raw_metadata":null,"created_at":"2026-07-19T01:14:59.372548Z","pmid":"38156825","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":[]}