Three-dimensional periodontal investigations using a prototype handheld ultrasound scanner with spatial positioning reading sensor

Chifor, Radu; Li, Mengxun; Nguyen, Khoa D.; Arsenescu, Tudor; Chifor, Ioana; Badea, Alexandru; Badea, Mîndra Eugenia; Hotoleanu, Mircea; Major, Paul W.; Le, Lawrence H.

doi:10.11152/mu-2837

Cited by 13 publications

(14 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Dental ultrasound imaging is increasingly used to characterize both hard and soft tissues in the oral cavity. 16 , 17 Ultrasound imaging has been used for dental implant studies, 18 , 19 and high-resolution ultrasound imaging can help identify the gingival sulcus, GM, alveolar bone, alveolar bone crest, and the cementoenamel junction. 20 – 22 One subset of ultrasound is photoacoustic imaging, which creates images via the ultrasound created by incident light pulses.…”

Section: Introductionmentioning

confidence: 99%

Photoacoustic imaging of posterior periodontal pocket using a commercial hockey-stick transducer

Chen

Jin

et al. 2022

J. Biomed. Opt.

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Photoacoustic imaging of posterior periodontal pocket using a commercial hockey-stick transducer

Chen

Jin

et al. 2022

J. Biomed. Opt.

View full text Add to dashboard Cite

“…The components and features of the in-house developed software, some of them being detailed in previous studies [ 25 , 26 ], are: the semi-automatic annotation tool for generating the initial dataset from original US images and the automatic image segmentation tool based on pixel-level classification using Mask R-CNN and U-Net models; 3D ultrasound reconstruction and visualization software of bi-dimensional masked or unmasked US images; cross-section features of the 3D ultrasound reconstruction of the scanned area; and navigation through the 3D ultrasound reconstruction frame by frame for evaluation and mask correction.…”

Section: Methodsmentioning

confidence: 99%

Automatic Segmentation of Periodontal Tissue Ultrasound Images with Artificial Intelligence: A Novel Method for Improving Dataset Quality

Chifor

Hotoleanu

Mariţa

et al. 2022

Sensors

Self Cite

View full text Add to dashboard Cite

This research aimed to evaluate Mask R-CNN and U-Net convolutional neural network models for pixel-level classification in order to perform the automatic segmentation of bi-dimensional images of US dental arches, identifying anatomical elements required for periodontal diagnosis. A secondary aim was to evaluate the efficiency of a correction method of the ground truth masks segmented by an operator, for improving the quality of the datasets used for training the neural network models, by 3D ultrasound reconstructions of the examined periodontal tissue. Methods: Ultrasound periodontal investigations were performed for 52 teeth of 11 patients using a 3D ultrasound scanner prototype. The original ultrasound images were segmented by a low experienced operator using region growing-based segmentation algorithms. Three-dimensional ultrasound reconstructions were used for the quality check and correction of the segmentation. Mask R-CNN and U-NET were trained and used for prediction of periodontal tissue’s elements identification. Results: The average Intersection over Union ranged between 10% for the periodontal pocket and 75.6% for gingiva. Even though the original dataset contained 3417 images from 11 patients, and the corrected dataset only 2135 images from 5 patients, the prediction’s accuracy is significantly better for the models trained with the corrected dataset. Conclusions: The proposed quality check and correction method by evaluating in the 3D space the operator’s ground truth segmentation had a positive impact on the quality of the datasets demonstrated through higher IoU after retraining the models using the corrected dataset.

show abstract

“…Machine and deep learning have also been used to automate image analysis 9,15,16 . Other work is improving transducer design and form factor via improved hardware and coupling materials 17,18 .However, further clinical translation and validation of this imaging technology are limited by the size of current transducers-most existing transducers are simply too bulky to access molars and pre-molars and can only image incisors and canines. While many compact and endoscopic ultrasound transducers are available commercially, none offer the high frequency needed to resolve small dental feature sizes.…”

Section: Introductionmentioning

confidence: 99%

A miniaturized ultrasound transducer for monitoring full-mouth oral health: a preliminary study

Hariri²,

Nezhad³

et al. 2023

Dentomaxillofacial Radiology

View full text Add to dashboard Cite

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 to 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. 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 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.

show abstract

Three-dimensional periodontal investigations using a prototype handheld ultrasound scanner with spatial positioning reading sensor

Cited by 13 publications

References 31 publications

Photoacoustic imaging of posterior periodontal pocket using a commercial hockey-stick transducer

Photoacoustic imaging of posterior periodontal pocket using a commercial hockey-stick transducer

Automatic Segmentation of Periodontal Tissue Ultrasound Images with Artificial Intelligence: A Novel Method for Improving Dataset Quality

A miniaturized ultrasound transducer for monitoring full-mouth oral health: a preliminary study

Contact Info

Product

Resources

About