{"doi":"10.1259/dmfr.20230066","title":"Three-dimensional mapping of the greater palatine artery location and physiology","abstract":"OBJECTIVE: To develop a novel technique for localizing and reconstructing the greater palatine artery (GPA) using three-dimensional (3D) technology. METHODS: A miniaturized intraoral ultrasound transducer was used to imaging landmarks including the GPA, gingival margin (GM), and palatal masticatory mucosa (PMM). A 5-mm-thick solid hydrogel couplant was integrated to replace traditional ultrasound gel and avoid bubbles when moving the transducer. RESULTS: A panorama image provided the relative localization of landmarks including the GPA, PMM, and hard palate. Short- and long-axis imaging of GPA was performed in five subjects including 3D mapping of GPA branches and surrounding tissues in a volume of 10 mm × 8 mm × 10 mm. Full-mouth Doppler imaging was also demonstrated on both the dorsal and ventral tongue as well as buccal mucosa and sublingual region on two subjects. CONCLUSIONS: This study can measure the vertical distance from the GM to the GPA and depth from PMM to GPA and visualize the GPA localization in a 3D manner, which is critical to evaluate the available volume of palatal donor tissues and avoid sectioning of GPA during surgical harvesting of the tissues. Finally, the transducer's small size facilitates full-mouth Doppler imaging with the potential to improve the assessment, diagnosis, and management of oral mucosa.","journal":"Dentomaxillofacial Radiology","year":2023,"id":355095,"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":0.9605,"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":1103536,"name":"Reza Khazeinezhad","orcid":null,"position":1,"is_corresponding":false},{"id":314939,"name":"Ali Hariri","orcid":"0000-0003-0306-5013","position":2,"is_corresponding":false},{"id":363684,"name":"Wonjun Yim","orcid":"0000-0002-0242-7898","position":3,"is_corresponding":false},{"id":476574,"name":"Zhicheng Jin","orcid":"0000-0001-6072-7533","position":4,"is_corresponding":false},{"id":888797,"name":"Lekshmi Sasi","orcid":null,"position":5,"is_corresponding":false},{"id":515252,"name":"Casey Chen","orcid":"0000-0002-0331-0181","position":6,"is_corresponding":false},{"id":238364,"name":"Jesse V. Jokerst","orcid":"0000-0003-2829-6408","position":7,"is_corresponding":false},{"id":808125,"name":"Baiyan Qi","orcid":"0000-0002-3386-9541","position":0,"is_corresponding":true}],"reference_count":53,"raw_metadata":null,"created_at":"2026-07-19T01:13:16.394812Z","pmid":"37641889","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":[]}