The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Feb. 24, 2004

Filed:

Jul. 28, 2000
Applicant:
Inventors:

Sigurd B. Angenent, Madison, WI (US);

Allen R. Tannenbaum, Smyrna, GA (US);

Steven Haker, New Haven, CT (US);

Ron Kikinis, Brookline, MA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/36 ; G06F 1/02 ; G06F 1/750 ;
U.S. Cl.
CPC ...
G06K 9/36 ; G06F 1/02 ; G06F 1/750 ;
Abstract

A computerized apparatus and associated method and program code on a storage medium, for producing a flattening map of a digitized image. This image may be initially synthetically produced as discrete data or as quasi-discrete image data of a real object—and the original image data may be stored as two-, three-, or four-dimensional dynamic coordinate data. Once produced, the flattening map can be conformally mapped onto the computer generated surface (whether 2-D, 3-D, or any of the dynamically-varying family of surfaces) for display on a computer-assisted display apparatus in communication with a processor. The apparatus and associated method and program code include constructing a first set of data comprising a plurality of discrete surface-elements to represent at least a portion of a surface of the digitized image, and performing a flattening function on the first set of data to produce the flattening map. The flattening function includes computing, for each discrete surface-element, a solution to each of two systems of linear equations formulated from finding a numerical solution to a selected partial differential equation (PDE), and can be performed on each of a series of data sets changing over time to produce a corresponding series of flattening maps.


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