The application discloses a kind of based on
deep learning and three-dimensional constraint paranasal region
implant design method, it is related to image
data processing technical field, the method includes: obtaining preoperative maxillofacial image;The maxilla, mandible and tooth of preoperative maxillofacial image are segmented and the
anatomical landmark point in preoperative maxillofacial image is identified;According to
anatomical landmark point, construct reference coordinate
system;The three-dimensional coordinate information of
anatomical landmark point is transformed to reference coordinate
system;Respectively construct the three-dimensional rectangular constraint boundary box of two sides of
prosthesis;According to three-dimensional grid model, anatomical
landmark point and three-dimensional rectangular constraint boundary box, respectively construct the
bone surface fitting contour of two sides of
prosthesis;According to the three-dimensional grid model of
jaw bone, anatomical
landmark point and
bone surface fitting contour, generate
prosthesis three-dimensional
entity model;According to three-dimensional grid model, three-dimensional rectangular constraint boundary box,
bone surface fitting contour and prosthesis three-dimensional
entity model, generate nail channel.The present application can realize the
automation,
standardization and high accuracy of whole process.