{"doi":"10.1101/2022.08.24.505201","title":"High-Resolution 3D Ultra-Short Echo Time MRI with Rosette k-Space Pattern for Brain Iron Content Mapping","abstract":"Abstract Background The iron concentration increases during normal brain development and is identified as a risk factor for many neurodegenerative diseases, it is vital to monitor iron content in the brain non-invasively. Purpose This study aimed to quantify in vivo brain iron concentration with a 3D rosette-based ultra-short echo time (UTE) magnetic resonance imaging (MRI) sequence. Methods A cylindrical phantom containing nine vials of different iron concentrations (iron (II) chloride) from 0.5 millimoles to 50 millimoles and six healthy subjects were scanned using 3D high-resolution (0.94×0.94×0.94 mm 3 ) rosette UTE sequence at an echo time (TE) of 20 μs. Results Iron-related hyperintense signals (i.e., positive contrast) were detected based on the phantom scan, and were used to establish an association between iron concentration and signal intensity. The signal intensities from in vivo scans were then converted to iron concentrations based on the association. The deep brain structures, such as the substantia nigra, putamen, and globus pallidus, were highlighted after the conversion, which indicated potential iron accumulations. Conclusion This study suggested that T 1 -weighted signal intensity could be used for brain iron mapping.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2022,"id":304174,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.8485,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":817951,"name":"Ali Çağlar Özen","orcid":"0000-0003-3536-0826","position":1,"is_corresponding":false},{"id":996978,"name":"Humberto Monsivais","orcid":"0000-0001-7503-7738","position":2,"is_corresponding":false},{"id":818623,"name":"Antonia Sunjar","orcid":null,"position":3,"is_corresponding":false},{"id":817952,"name":"Serhat İlbey","orcid":"0000-0002-3574-4320","position":4,"is_corresponding":false},{"id":428969,"name":"Wei Zheng","orcid":"0000-0003-4510-9117","position":5,"is_corresponding":false},{"id":486632,"name":"Yansheng Du","orcid":"0000-0003-1457-0744","position":6,"is_corresponding":false},{"id":817953,"name":"Mark Chiew","orcid":"0000-0001-6272-8783","position":7,"is_corresponding":false},{"id":407457,"name":"Uzay E. Emir","orcid":"0000-0001-5376-0431","position":8,"is_corresponding":false},{"id":407452,"name":"Xin Shen","orcid":"0000-0003-0184-8751","position":0,"is_corresponding":true}],"reference_count":29,"raw_metadata":null,"created_at":"2026-07-19T00:32:32.651796Z","pmid":null,"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":[]}