Localized volume matching for the detection of relative displacements in CT or MR images

Pongracz, Ferenc; Renner, Gábor

doi:10.1016/j.ics.2005.03.160

Cited by 1 publication

(1 citation statement)

References 6 publications

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“…Similar dentition database has been already created but the fitting to the actual patient has been done with automatic registration technique [10]. Unfortunately the automatic registration highly depends on image qualities, number of voxels involved (volume grid size) and close alignment of volumes to be registered [14]. Therefore, the manual fit (scaling, rotation in three orthogonal views) was preferred in our approach.…”

Section: Discussionmentioning

confidence: 99%

Dentition planning with image-based occlusion analysis

Pongracz

Bárdosi

2006

Int J CARS

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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.

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Section: Discussionmentioning

confidence: 99%