Method for image generation based on oral imaging and system thereof

A method for image generation based on oral imaging, comprising:

• acquiring CT image data of an oral cavity to be treated, and constructing an oral skeletal model based on the CT image data, wherein acquiring the CT image data of the oral cavity to be treated, and constructing the oral skeletal model based on the CT image data comprises:
• scanning the oral cavity to be treated layer by layer by a cone-beam imaging device according to a preset scanning interval to obtain CT image data corresponding to each layer;
• carrying out skeletal hard tissue identification on the CT image data corresponding to each layer, and extracting hard tissue feature model data corresponding to each CT image data;
• sequentially modifying the hard tissue feature model data extracted from the corresponding CT image data of each layer, so that in the process of modifying the hard tissue feature model data of one layer each time, the hard tissue feature model data of at least one layer is taken as the modified reference model data, and the modified reference model data and the hard tissue feature model data of the layer are combined and merged, so as to calculate a first edge smoothness between the combined modified reference model data and the hard tissue feature model data of the layer, and then modify the hard tissue feature model data of the layer according to the first edge smoothness;
• and
• combining and merging the modified hard tissue feature model data of each layer to construct the oral skeletal model;
• extracting skeletal features of the oral skeletal model, and covering the oral skeletal model with soft tissues based on the skeletal features through a preset healthy soft and hard tissue oral cavity model database to obtain a first oral cavity model;
• wherein the preset healthy soft and hard tissue oral cavity model database stores oral cavity models with healthy soft and hard tissues;
• carrying out laser three-dimensional scanning on the oral cavity to be treated to construct a second oral cavity model, and comparing the first oral cavity model with the second oral cavity model, so as to obtain a soft tissue difference area between the first oral cavity model and the second oral cavity model, and then mark the soft tissue difference area in the second oral cavity model;
• acquiring optical image information of a target acquisition area in the oral cavity to be treated, and extracting soft tissue features from the optical image information;
• wherein the target acquisition area corresponds to the soft tissue difference area marked on the second oral cavity model;
• covering the extracted soft tissue features in the second oral cavity model to obtain a three-dimensional image model of the oral cavity to be treated, and then acquiring oral images from the three-dimensional image model to generate oral images;
• and
• wherein acquiring the optical image information of the target acquisition area in the oral cavity to be treated, and extracting soft tissue features from the optical image information specifically comprises the following steps:
• acquiring the optical image information of the target acquisition area in the oral cavity to be treated, and carrying out pathological identification on the optical image information in turn according to a pathological identification model;
• and identifying the soft tissue features of the optical image information with pathological features so as to extract the soft tissue feature data with pathological features.