{"doi":"10.1002/hbm.70232","title":"Morphological Brain Analysis Using Ultra Low‐Field <scp>MRI</scp>","abstract":"ABSTRACT Ultra low‐field (ULF) MRI is an accessible neuroimaging modality that can bridge healthcare disparities and advance population‐level brain health research. However, the inherently low signal‐to‐noise ratio of ULF‐MRI often necessitates reductions in spatial resolution and, combined with the field‐dependency of MRI contrast, challenges the accurate extraction of clinically relevant brain morphology. We evaluate the current state of ULF‐MRI brain volumetry utilizing techniques for enhancing spatial resolution and leveraging recent advancements in brain segmentation. This is based on the agreement between ULF and corresponding high‐field (HF) MRI brain volumes, and test–retest repeatability for multiple ULF scans. In this study, we find that accurate brain volumes can be measured from ULF‐MRIs when combining orthogonal imaging directions for T 2 ‐weighted images to form a higher resolution image volume. We also demonstrate that not all orthogonal imaging directions contribute equally to volumetric accuracy and provide a recommended scan protocol given the constraints of the current technology.","journal":"Human Brain Mapping","year":2025,"id":530796,"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":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9548,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1410730,"name":"Elisa Marchetto","orcid":"0000-0003-0133-0610","position":1,"is_corresponding":false},{"id":230024,"name":"Daniel K. Sodickson","orcid":"0000-0002-2436-4664","position":2,"is_corresponding":false},{"id":236200,"name":"Patricia M. Johnson","orcid":"0000-0003-1547-9969","position":3,"is_corresponding":false},{"id":291215,"name":"Jelle Veraart","orcid":"0000-0003-0781-0420","position":4,"is_corresponding":false},{"id":1410729,"name":"Peter Hsu","orcid":"0009-0004-9971-7710","position":0,"is_corresponding":true}],"reference_count":105,"raw_metadata":null,"created_at":"2026-07-19T02:51:10.077559Z","pmid":"40586128","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":[]}