{"doi":"10.1002/mrm.29600","title":"In vivo reproducibility of <scp>3D</scp> relayed <scp>NOE</scp> in the healthy human brain at <scp>7 T</scp>","abstract":"Purpose Nuclear Overhauser effect (NOE) is based on dipolar cross‐relaxation mechanism that enables the indirect detection of aliphatic protons via the water proton signal. This work focuses on determining the reproducibility of NOE magnetization transfer ratio (NOE MTR ) and isolated or relayed NOE (rNOE) contributions to the NOE MRI of the healthy human brain at 7 Tesla (T). Methods We optimized the amplitude and length of the saturation pulse by acquiring NOE images with different values with multiple saturation lengths. Repeated NOE MRI measurements were made on five healthy volunteers by using optimized saturation pulse parameters including correction of B 0 and inhomogeneities. To isolate the individual contributions from z‐spectra, we have fit the NOE z‐spectra using multiple Lorentzians and calculated the total contribution from each pool contributing to the overall NOE MTR contrast. Results We found that a saturation amplitude of 0.72 μT and a length of 3 s provided the highest contrast. We found that the mean NOE MTR value in gray matter (GM) was 26%, and in white matter (WM) was 33.3% across the 3D slab of the brain. The mean rNOE contributions from GM and WM values were 8.9% and 9.6%, which were ∼10% of the corresponding total NOE MTR signal. The intersubject coefficient of variations (CoVs) of NOE MTR from GM and WM were 4.5% and 6.5%, respectively, whereas the CoVs of rNOE were 4.8% and 5.6%, respectively. The intrasubject CoVs of the NOE MTR range was 2.1%–4.2%, and rNOE range was 2.9%–10.5%. Conclusion This work has demonstrated an excellent reproducibility of both inter‐ and intrasubject NOE MTR and rNOE metrics in healthy human brains at 7 T.","journal":"Magnetic Resonance in Medicine","year":2023,"id":360160,"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":9,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9611,"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":469610,"name":"Ravi Prakash Reddy Nanga","orcid":"0000-0002-3644-5656","position":1,"is_corresponding":false},{"id":227863,"name":"Neil Wilson","orcid":"0000-0002-7942-2972","position":2,"is_corresponding":false},{"id":688861,"name":"Deepa S. Thakuri","orcid":null,"position":3,"is_corresponding":false},{"id":1093156,"name":"Paul Jacobs","orcid":"0000-0003-3566-4010","position":4,"is_corresponding":false},{"id":891954,"name":"Anshuman Swain","orcid":"0000-0002-0257-8610","position":5,"is_corresponding":false},{"id":409149,"name":"Dushyant Kumar","orcid":"0000-0002-1617-6399","position":6,"is_corresponding":false},{"id":227867,"name":"Ravinder Reddy","orcid":"0000-0003-4580-2392","position":7,"is_corresponding":false},{"id":1091183,"name":"Blake Benyard","orcid":"0000-0002-2480-4164","position":0,"is_corresponding":true}],"reference_count":45,"raw_metadata":null,"created_at":"2026-07-19T01:14:01.896928Z","pmid":"36744726","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":[]}