DEEP LEARNING FOR AUTOMATED SMILE DESIGN

Organization Name

3m innovative properties company

Inventor(s)

Cameron M. Fabbri of St. Paul MN (US)

Wenbo Dong of Lakeville MN (US)

James L. Graham of Woodbury MN (US)

Cody J. Olson of Ham Lake MN (US)

DEEP LEARNING FOR AUTOMATED SMILE DESIGN - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240347210 titled 'DEEP LEARNING FOR AUTOMATED SMILE DESIGN

The patent application describes a method for displaying teeth after planned orthodontic treatment to show individuals how their smiles will appear post-treatment.

The method involves obtaining a digital 3D model or rendered images of teeth, along with an image of the individual, such as a digital photo.
A generator network is used to generate an image of the person displaying their teeth and smile after the planned orthodontic treatment.
A discriminator network processes input images, generated images, and real images to train the generator network through deep learning models to create a photo-realistic image of the individual post-treatment.

Potential Applications: - Orthodontic clinics can use this technology to provide patients with a visual representation of their potential post-treatment smile. - Dental professionals can use this method to enhance patient communication and satisfaction by showing them the expected results of orthodontic treatment.

Problems Solved: - This technology addresses the challenge of accurately visualizing and communicating the outcomes of orthodontic treatment to patients. - It helps individuals make informed decisions about their orthodontic care by giving them a realistic preview of their future smile.

Benefits: - Improved patient understanding and engagement in the orthodontic treatment process. - Enhanced patient satisfaction and confidence in the treatment plan. - More effective communication between dental professionals and patients regarding treatment outcomes.

Commercial Applications: Title: "Orthodontic Smile Simulation Technology for Patient Visualization" This technology can be commercially utilized by orthodontic clinics, dental practices, and digital smile design studios to offer personalized smile simulations to patients. The market implications include increased patient interest in orthodontic treatment, improved treatment acceptance rates, and enhanced patient experience.

Questions about Orthodontic Smile Simulation Technology: 1. How can this technology benefit orthodontic patients in their decision-making process?

  - This technology can help orthodontic patients visualize the potential outcomes of their treatment, leading to more informed decisions and increased confidence in the treatment plan.

2. What role does deep learning play in the generation of photo-realistic images in this method?

  - Deep learning models are used to train the generator network to produce accurate and realistic images of the individual's smile post-orthodontic treatment.

Original Abstract Submitted

a method for displaying teeth after planned orthodontic treatment in order to show persons how their smiles will look after the treatment. the method includes receiving a digital 3d model of teeth or rendered images of teeth, and an image of a person such as a digital photo. the method uses a generator network to produce a generated image of the person showing teeth of the person, the person's smile, after the planned orthodontic treatment. the method uses a discriminator network processing input images, generated images, and real images to train the generator network through deep learning models to product a photo-realistic image of the person after the planned treatment.