{"doi":"10.1101/2022.03.31.486598","title":"A miniaturized ultrasound transducer for monitoring full-mouth oral health: a preliminary study","abstract":"ABSTRACT Objective To customize a miniaturized ultrasound transducer to access full-mouth B-mode, color Doppler and spectral Doppler imaging for monitoring oral health. Methods A customized periodontal ultrasound transducer SS-19-128 (19 MHz, 128 channels) with 1.8 cm wide and 1 cm thick was developed and connected to a data acquisition (DAQ) system. B-mode, color Doppler, and spectral Doppler data could all be collected with SS-19-128. The imaging resolution and penetration capacity of SS-19-128 were characterized on phantoms. Five human subjects were recruited to demonstrate B-mode and Doppler imaging by SS-19-128. Gingival thickness was measured on 11 swine teeth by SS-19-128 for comparison to conventional transgingival probing via Bland-Altman analysis and Pearson correlation. Results The axial and lateral spatial resolution at 5.5 mm depth is 102.1 μm and 142.9 μm, respectively. The penetration depth in a tissue-mimicking phantom is over 30 mm. In vivo B-mode imaging of all 28 teeth was demonstrated on one human subject, and imaging of tooth #18 was accessed on five human subjects. Gingival thickness measurement compared with transgingival probing showed a bias of −0.015 mm and SD of 0.031 mm, and a r = 0.9235 (P<0.0001) correlation. In vivo color and spectral Doppler imaging of the supraperiosteal artery in human gingiva was performed to generate hemodynamic information. Conclusions The small size of SS-19-128 offers important advantages over existing technology—more specifically, whole-mouth scanning/charting reminiscent of radiography. This is nearly a two-fold increase in the number of teeth that can be assessed versus existing transducers.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2022,"id":301106,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.955,"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":314939,"name":"Ali Hariri","orcid":"0000-0003-0306-5013","position":1,"is_corresponding":false},{"id":992286,"name":"Reza K. Nezhad","orcid":null,"position":2,"is_corresponding":false},{"id":686272,"name":"Lei Fu","orcid":"0000-0002-5593-4180","position":3,"is_corresponding":false},{"id":876510,"name":"Yi Li","orcid":"0000-0003-0398-0967","position":4,"is_corresponding":false},{"id":476574,"name":"Zhicheng Jin","orcid":"0000-0001-6072-7533","position":5,"is_corresponding":false},{"id":363684,"name":"Wonjun Yim","orcid":"0000-0002-0242-7898","position":6,"is_corresponding":false},{"id":689253,"name":"Tengyu He","orcid":"0000-0002-6767-4849","position":7,"is_corresponding":false},{"id":689252,"name":"Yong Cheng","orcid":"0000-0003-2137-7045","position":8,"is_corresponding":false},{"id":619026,"name":"Jiajing Zhou","orcid":"0000-0001-5203-4737","position":9,"is_corresponding":false},{"id":238364,"name":"Jesse V. Jokerst","orcid":"0000-0003-2829-6408","position":10,"is_corresponding":false},{"id":808125,"name":"Baiyan Qi","orcid":"0000-0002-3386-9541","position":0,"is_corresponding":true}],"reference_count":42,"raw_metadata":null,"created_at":"2026-07-19T00:31:57.812980Z","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":[]}