Intraoral Ultrasound Imaging Using a Rotational Transducer with Periodontal Feature Identification by Machine...

Area of Science:

• Biomedical Engineering
• Dental Imaging
• Artificial Intelligence in Medicine

Background:

• Current external ultrasound devices are bulky and low-frequency, limiting intraoral applications.
• Accurate real-time imaging of dental anatomy is crucial for diagnosis and developmental dentistry.
• Need for advanced tools for precision oral health.

Purpose of the Study:

• To develop a compact, versatile intraoral ultrasound device for high-resolution imaging.
• To integrate artificial intelligence for automated identification of intraoral anatomical structures.
• To explore the potential of AI-enhanced intraoral ultrasound in dental diagnostics.

Main Methods:

• Designed a portable intraoral ultrasound device with a rotational probe head.
• Utilized high-frequency ultrasonography (up to 25 MHz) for imaging.
• Implemented machine learning algorithms for automated structure identification (e.g., alveolar bone, cementum-enamel junction).

Main Results:

• Achieved real-time, high-resolution ultrasonograms of intraoral structures, including dento-periodontium and maxillary palate.
• Demonstrated successful automated identification of key anatomical landmarks.
• The device allows for adjustable imaging planes through probe rotation.

Conclusions:

• The developed intraoral ultrasound device provides real-time, detailed imaging of oral anatomy.
• AI integration enhances diagnostic capabilities by automating structure identification.
• This technology has the potential to revolutionize oral health diagnosis and treatment planning for precision care.