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US Patent 8244028 Virtual cephalometric imaging

Patent 8244028 was granted and assigned to Align Technology on August, 2012 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
Align Technology
Align Technology
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
82440280
Patent Inventor Names
Sherri Wilson0
Eric E. Kuo0
Fabio Pettinati0
Date of Patent
August 14, 2012
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Patent Application Number
127715950
Date Filed
April 30, 2010
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Patent Citations Received
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US Patent 12133710 Automatic determination of workflow for restorative dental procedures
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US Patent 12076114 Intraoral scanning and dental condition identification
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US Patent 12076200 Digital 3D models of dental arches with accurate arch width
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US Patent 12082904 Automatic generation of multi-resolution 3d model including restorative object
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US Patent D1042842 Intraoral scanner wand
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US Patent 12127814 Dental diagnostics hub
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US Patent 12127898 Systems and methods for the design and fabrication of provisional and permanent crowns
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US Patent 11654004 Methods, systems and accessories useful for procedures relating to dental implants
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Patent Primary Examiner
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Daniel Mariam
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Patent abstract

Virtual cephalometric imaging includes creating a first 3D virtual model and a second 3D virtual model of a patient's dentition. The first 3D virtual model is based on a first impression taken of the patient's dentition at a first time. The second 3D virtual model is based on a second impression taken of the patient's dentition at a second time. The first and the second 3D virtual models are correlated. A 2D image is generated including a first outline representing a position of at least one tooth of the patient's dentition according to the first 3D virtual model and a second outline representing a position of the at least one tooth according to the second 3D virtual model. Generating the 2D image includes positioning the first outline relative to the second outline according to the correlation of the first and the second 3D virtual models.

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