Method for generating a bone volume of a toothed or edentulous area from a 2D radiographic panoramic using a machine-learned prediction model and prediction of the residual bone volume after healing of an extraction site before dental extraction.

Abstract

The invention relates to a computer-implemented method for evaluating a dentate or edentulous bone region of a patient, the method comprising: Obtaining a 2D radiographic dental panoramic of a patient on which a region of interest and an occlusion curve are defined; Processing the input image by means of at least one trained prediction model to obtain at least one 2D sagittal slice taken perpendicular to the plane passing through the occlusion curve of the 2D radiographic panoramic, called a 2D slice, the 2D slice showing - if the region of interest is an edentulous sector, a 2D slice showing an implantable bone volume; - if the region of interest is a dentate sector, a 2D slice showing a dentate bone volume; - if the toothed sector includes at least one tooth to be extracted, a 2D edentulous section showing residual bone volume of the bone table at the extraction site after extraction and healing. No figure