{"doi":"10.3390/bioengineering11010066","title":"Bi-Exponential 3D UTE-T1ρ Relaxation Mapping of Ex Vivo Human Knee Patellar Tendon at 3T","abstract":"Introduction: The objective of this study was to assess the bi-exponential relaxation times and fractions of the short and long components of the human patellar tendon ex vivo using three-dimensional ultrashort echo time T1ρ (3D UTE-T1ρ) imaging. Materials and Methods: Five cadaveric human knee specimens were scanned using a 3D UTE-T1ρ imaging sequence on a 3T MR scanner. A series of 3D UTE-T1ρ images were acquired and fitted using single-component and bi-component models. Single-component exponential fitting was performed to measure the UTE-T1ρ value of the patellar tendon. Bi-component analysis was performed to measure the short and long UTE-T1ρ values and fractions. Results: The single-component analysis showed a mean single-component UTE-T1ρ value of 8.4 ± 1.7 ms for the five knee patellar tendon samples. Improved fitting was achieved with bi-component analysis, which showed a mean short UTE-T1ρ value of 5.5 ± 0.8 ms with a fraction of 77.6 ± 4.8%, and a mean long UTE-T1ρ value of 27.4 ± 3.8 ms with a fraction of 22.4 ± 4.8%. Conclusion: The 3D UTE-T1ρ sequence can detect the single- and bi-exponential decay in the patellar tendon. Bi-component fitting was superior to single-component fitting.","journal":"Bioengineering","year":2024,"id":463440,"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":0.5471,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":896077,"name":"Dina Moazamian","orcid":"0000-0002-8815-4535","position":1,"is_corresponding":false},{"id":794956,"name":"Soo Hyun Shin","orcid":"0000-0003-1875-2908","position":2,"is_corresponding":false},{"id":896075,"name":"Jiyo Athertya","orcid":"0000-0002-0866-1052","position":3,"is_corresponding":false},{"id":1151670,"name":"Livia Silva","orcid":null,"position":4,"is_corresponding":false},{"id":310555,"name":"Saeed Jerban","orcid":"0000-0001-6450-2892","position":5,"is_corresponding":false},{"id":315308,"name":"Hyungseok Jang","orcid":"0000-0002-3597-9525","position":6,"is_corresponding":false},{"id":310559,"name":"Eric Y. Chang","orcid":"0000-0003-3633-5630","position":7,"is_corresponding":false},{"id":310553,"name":"Yajun Ma","orcid":"0000-0003-0830-9232","position":8,"is_corresponding":false},{"id":310557,"name":"Michael Carl","orcid":"0000-0002-9936-5813","position":9,"is_corresponding":false},{"id":310558,"name":"Jiang Du","orcid":"0000-0002-9203-2450","position":10,"is_corresponding":false},{"id":1126733,"name":"Bhavsimran Singh Malhi","orcid":null,"position":0,"is_corresponding":true}],"reference_count":54,"raw_metadata":null,"created_at":"2026-07-19T02:04:28.838123Z","pmid":"38247943","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":[]}