» Articles » PMID: 36075610

A Miniaturized Ultrasound Transducer for Monitoring Full-mouth Oral Health: a Preliminary Study

Overview
Date 2022 Sep 8
PMID 36075610
Authors
Affiliations
Soon will be listed here.
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) 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. The gingival thickness was measured on 11 swine teeth by SS-19-128 for comparison with conventional transgingival probing via Bland-Altman analysis and Pearson correlation. Five human subjects were then recruited to demonstrate B-mode and Doppler imaging by SS-19-128.

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. 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 = 0.9235 ( < 0.0001) correlation. 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 ultrasound 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 conventional transducers.

Citing Articles

Machine learning for automated identification of anatomical landmarks in ultrasound periodontal imaging.

Qi B, Sasi L, Khan S, Luo J, Chen C, Rahmani K Dentomaxillofac Radiol. 2025; 54(3):210-221.

PMID: 39775796 PMC: 11879227. DOI: 10.1093/dmfr/twaf001.


Ultrasound identification of the cementoenamel junction and clinical correlation through ex vivo analysis.

Qi B, Fu L, Abdelrehim T, Chang J, Chang H, Chen C Sci Rep. 2024; 14(1):27821.

PMID: 39537843 PMC: 11561095. DOI: 10.1038/s41598-024-79081-z.


Deep learning assisted sparse array ultrasound imaging.

Qi B, Tian X, Fu L, Li Y, Chan K, Ling C PLoS One. 2023; 18(10):e0293468.

PMID: 37903113 PMC: 10615290. DOI: 10.1371/journal.pone.0293468.


Three-dimensional mapping of the greater palatine artery location and physiology.

Qi B, Khazeinezhad R, Hariri A, Yim W, Jin Z, Sasi L Dentomaxillofac Radiol. 2023; 52(8):20230066.

PMID: 37641889 PMC: 10968761. DOI: 10.1259/dmfr.20230066.

References
1.
Bader K, Crowe M, Raymond J, Holland C . Effect of Frequency-Dependent Attenuation on Predicted Histotripsy Waveforms in Tissue-Mimicking Phantoms. Ultrasound Med Biol. 2016; 42(7):1701-5. PMC: 4899262. DOI: 10.1016/j.ultrasmedbio.2016.02.010. View

2.
Nguyen K, Le L, Kaipatur N, Major P . Imaging the Cemento-Enamel Junction Using a 20-MHz Ultrasonic Transducer. Ultrasound Med Biol. 2015; 42(1):333-8. DOI: 10.1016/j.ultrasmedbio.2015.09.012. View

3.
Mozaffarzadeh M, Moore C, Golmoghani E, Mantri Y, Hariri A, Jorns A . Motion-compensated noninvasive periodontal health monitoring using handheld and motor-based photoacoustic-ultrasound imaging systems. Biomed Opt Express. 2021; 12(3):1543-1558. PMC: 7984772. DOI: 10.1364/BOE.417345. View

4.
Ghouth N, Duggal M, Banihani A, Nazzal H . The diagnostic accuracy of laser Doppler flowmetry in assessing pulp blood flow in permanent teeth: A systematic review. Dent Traumatol. 2018; 34(5):311-319. DOI: 10.1111/edt.12424. View

5.
Nguyen K, Duong D, Almeida F, Major P, Kaipatur N, Pham T . Alveolar Bone Segmentation in Intraoral Ultrasonographs with Machine Learning. J Dent Res. 2020; 99(9):1054-1061. DOI: 10.1177/0022034520920593. View