3-D Digitizer to Provide Teeth Contours

At present, dental technicians can only make dentures using a bite impression. The silicone template for this plaster model is made by the dentist, in a procedure which is unpleasant for the patient. In future a 3-D digitizer will provide the teeth contours - without plaster model.

When toothache makes a visit to the dentist unavoidable this often marks the start of a time-consuming treatment marathon for the patient. If the tooth cannot be saved and a dental prosthesis is necessary, the dentist first has to make a silicone impression for the dental laboratory. The patient is sent home with a provisional repair and dental technicians set to work on modeling a plaster impression. The model is then scanned using digital cameras and from the geometric measurement data obtained the matching dental prosthesis is produced.

The intricate and laborious route from bite impression and plaster mold to model scanning in the laboratory could soon be a thing of the past. "The three-dimensional coordinates of the tooth surface can be determined on the basis of measurements taken in the patient's mouth," says Dr. Peter Kühmstedt, group manager for 3-D measurement technology at the Fraunhofer Institute for Applied Optics and Precision Engineering IOF in Jena.

Under a contract from German dental company Hint-Els, an expert team at the Fraunhofer institute developed an optical digitization system which scans the oral cavity and captures three-dimensional data of the teeth using camera optics. A complete picture of the individual tooth is created from several data records. After an all-round measurement, it is even possible to represent the complete jaw arch as a virtual computer image. The measurement conditions in the confined oral cavity are, however, unfavorable. To obtain precise results, the scientists use fringe projections in which a projector shines strips of light on the tooth area to be measured. From the phase-shifted images the evaluation software determines the geometric contour data of the tooth. Two camera optics provide the sensor chip with image information from different measurement perspectives. After the pixel-precise comparison of various camera images, the evaluation program recognizes any image faults and removes them from the complete image.

It is problematic if the patient moves while the images are being taken in the oral cavity. The scientists have therefore made sure that the process takes place quickly. "The image sequence for each measurement position is captured in less than 200 milliseconds," explains Kühmstedt.

For further information, please visit:
http://www.iof.fraunhofer.de

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

AI Accelerates the Search for New Tuberc…

Tuberculosis is a serious global health threat that infected more than 10 million people in 2022. Spread through the air and into the lungs, the pathogen that causes "TB" can...

Students Around the World Find ChatGPT U…

An international survey study involving more than 23,000 higher education students reveals trends in how they use and experience ChatGPT, highlighting both positive perceptions and awareness of the AI chatbot’s...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

How AI Bias Shapes Everything from Hirin…

Generative AI tools like ChatGPT, DeepSeek, Google's Gemini and Microsoft’s Copilot are transforming industries at a rapid pace. However, as these large language models become less expensive and more widely...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...