Medicim Nv

Nobel Biocare Services, Ag

Filip Schutyser

Wouter Mollemans

Veerle Wouters

Pascal Kunz

Paul Suetens

Dirk Loeckx

Vincent Masselus

Gwen Swennen

Kevin Suestens

Nasser Nadjmi

Kevin Suetens

Pieter De Groeve

Philip Dutre

Tinne Van Delm

A method of producing a dental splint comprising the steps of: obtaining a set of 3D surface data, the 3D surface data representing a surface of a patient's oral situation, and generating a support structure model in dependence on the 3D surface data, and producing the dental splint in dependence on the support structure model, wherein a 3D distance map image of the 3D surface data is used to generate the support structure model.

Digital splint

In embodiment of the invention provides a method of producing a dental splint comprising the steps of: obtaining a set of 3D surface data, the 3D surface data representing a surface of a patient's oral situation, obtaining a support structure model describing a dental splint configured to fit to a portion of the surface of the patient's oral situation, modifying an apical edge of the support structure model in dependence on the 3D surface data, producing the dental splint in dependence on the modified support structure model.

Virtual splint

An embodiment of the invention provides a method of producing a surgical template comprising the steps of: obtaining a set of 3D surface data, the 3D surface data representing a surface of a patient's oral situation, obtaining a support structure model describing a surgical template configured to fit to a portion of the surface of the patient's oral situation, obtaining planned bore position data, the planned implant position data describing the longitudinal axes of a set of one or more planned implant bore holes relative to the 3D surface data, automatically modifying the support structure model to provide support material for guide holes in the support structure model corresponding to the one or more planned implant bore holes, producing the dental splint in dependence on the modified support structure model.

Surgical template

A method for deriving shape information of a person's skull and dentition, including the steps of: taking an impression of the person's dentition, taking a first scan of the person's head, while the person is wearing the impression, taking a second scan of the impression alone, combining the scans, deriving the shape information from the combined scans. Advantageously the method further includes the step of taking a third scan of the person's head alone without the impression.

Method for deriving shape information

A method for capturing the shape of a dento-maxillofacial object out of volumetric image data of the dento-maxillofacial object is described. The method includes performing a segmentation of the volumetric image data with at least one calculated segmentation parameter indicative of the distinction between the dento-maxillofacial object and its background and derived from a calibration procedure. The method further includes capturing the shape of the dento-maxillofacial object from the segmented volumetric image data.

Method for digitizing dento-maxillofacial objects

A system and method for pre-operatively obtaining a prediction of a post-operative image of at least part of a body is disclosed. A 3D pre-operative description is determined of at least part of a body, and a pre-operative 2D photograph is acquired of the at least part of the body from any viewing position. The 3D pre-operative description is matched with the pre-operative 2D photograph, and a deformation field is determined for deforming the 3D pre-operative description. A predicted post-operative image of a 3D post-operative description of the at least part of the body is derived by means of the deformation field and the pre-operative 2D photograph.

Method and system for pre-operative prediction

The present invention is related to a method for performing a cephalometric or anthropometric analysis comprising the steps of: acquiring a 3D scan of a person's head using a 3D medical image modality, generating a 3D surface model using data from the 3D scan, generating from the 3D scan at least one 2D cephalogram geometrically linked to the 3D surface model, indicating anatomical landmarks on the at least one 2D cephalogram and/or on the 3D surface model, performing the analysis using the anatomical landmarks.

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Sint-Niklaas, Belgium

Filip Schutyser