The invention discloses a high-precision and automatic dental crown generation method. The method comprises seven steps of
oral cavity three-dimensional
data acquisition, full-mouth tooth semantic segmentation, upper and lower jaw
point cloud precise registration,
abutment and associated gingiva precise segmentation and trimming,
abutment surrounding environment multi-
tissue segmentation, neck-edge line secondary precise detection, and dental crown generation and multi-dimensional refinement. The method comprises the steps of
oral cavity three-dimensional
data acquisition, full-mouth tooth semantic segmentation, upper and lower jaw
point cloud precise registration,
abutment and associated gingiva precise segmentation and trimming, abutment surrounding environment multi-
tissue segmentation, neck-edge line secondary precise detection and dental crown generation. Through combination of
deep learning and a
point cloud algorithm, high-precision segmentation of teeth and gingiva and precise reduction of an
occlusion relationship are realized, an oral
anatomical feature library and a clinical repair standard are fused, and through multi-dimensional fine adjustment optimization, a dental crown 3D model which is high in fitting degree, harmonious in
occlusion and capable of meeting clinical requirements is generated. The method is full-process automatic, greatly improves efficiency, reduces operation threshold, reduces material waste and diagnosis and treatment cost, remarkably improves repair success rate, and is suitable for various oral repair scenes.