Dentition planning with image-based occlusion analysis

Abstract

Purpose To develop an easy-to-use, dentition planning method which is based on three-dimensional (3D) computer planning technology to replace conventional plaster-cast occlusion planning techniques. Methods The optimal dental occlusion is defined according to the condition of centric occlusion, i.e. after bringing occlusal surfaces of mandibular and opposing maxillary arches into identical 3D position. This identical position of occlusal surfaces represents the common reference frame for the 3D manipulation of all graphical elements. The planning procedure involves the following steps: (1) the optimal occlusal surface is approximated as triangle and localized both on the maxilla and mandible; (2) the original volumetric model is resampled according to the occlusal orientations; (3) the program reads in the models of ideal upper and lower dental arches from files, reshapes those to the patient anatomy and visualizes the local alignment on separate panels for mesiodistal and faciolingual inclinations. The final goal of the proposed method is to combine the requirements of functional and aesthetic designs and create an input for orthodontics, implantology and maxillofacial surgery. Results In the present study the optimal dental occlusion is created by image resampling after bringing the occlusal surfaces of mandibular and opposing maxillary arches into identical 3D position. This identical position of occlusal surfaces represents the common reference frame for manipulation of all graphical elements. Conclusions The proposed graphical environment was able to fit the elements of the ideal dentition curve to patient computed tomography under predefined centric occlusion. Rotation and scaling transformations of teeth were possible in the reformatted volumetric views about any of the axes of the teeth's own reference space.

Classification and numbering of teeth in multi-slice CT images using wavelet-Fourier descriptor

“…In this regard, we need to segment teeth from each other and jaws. In order to find an initial contour for teeth, we first estimate the dental arches [1] of the upper and lower jaws.…”

“…5. 1 1 The Adult dentition contains 32 teeth, 16 teeth in each jaw. In universal numbering system the two jaws divide into four equal quadrants that each quadrant contains eight teeth, two incisors, one cuspid (canine), two premolars (bicuspid), and three molars.…”

“…Teeth are one of the most important anatomical structures in the face, which have critical roles in mastication, phonetics and esthetics [1]. In modern dentistry, computer-assisted procedures such as surgical preoperative planning, intraoperative navigation and post-operative assessments in common dental procedures such as tooth restoration, mechanized dental implants and removable dentures, orthodontic planning and orthognathic surgery are currently rising due to the growing public awareness of the role of teeth [2][3][4][5][6].…”

Use of optical motion tracking in application development for surgical planning and navigation

“…Our intention was to develop an easy-to-use implant navigation system for computerized dental implantology 14,15,17 .…”

A Hybrid Segmentation Framework for Computer-Assisted Dental Procedures

“…Accurate knowledge of the 3D shape and structure of each tooth, arrangement of teeth with respect to each other and the location of the roots in the mandible and maxilla is very important in many maxillofacial surgical applications, endodontic procedures and treatment simulations [2]- [7]. The 3D tooth model in which each tooth can be manipulated individually is an essential component for the simulation of maxillofacial surgery and treatment.…”