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.
Patent No.:
Date of Patent:
Sep. 03, 2013
Filed:
Mar. 09, 2006
Daniel Eduardo Groszmann, Cambridge, MA (US);
Vernon Thomas Jensen, Draper, UT (US);
Gerald Lee Beauregard, Stratham, NH (US);
Peter Traneus Anderson, Andover, MA (US);
Daniel Eduardo Groszmann, Cambridge, MA (US);
Vernon Thomas Jensen, Draper, UT (US);
Gerald Lee Beauregard, Stratham, NH (US);
Peter Traneus Anderson, Andover, MA (US);
General Electric Company, Schenectady, NY (US);
Abstract
Certain embodiments of the present invention provide a method for correlating data including: receiving from a tracking subsystem a first data set including a tracked position of an object; receiving from an imaging subsystem a second data set including an image of the object; and comparing automatically at least a portion of the first data set with at least a portion of the second data based at least in part on the tracked position of the object and the image of the object. In an embodiment, the comparing automatically the first data set with the second data set is performable in real-time. In an embodiment, the method further includes registering the first data set with the second data set. In an embodiment, the tracking subsystem tracks the object electromagnetically, at least in part. In an embodiment, the imaging subsystem includes an x-ray imaging subsystem. In an embodiment, the first data set is generatable by the tracking subsystem substantially in real-time. In an embodiment, the method further includes determining an offset between at least a portion of the first data set and at least a portion of the second data set. In an embodiment, the method further includes performing an adjustment based at least in part on the offset on at least one of: the tracking subsystem, the imaging subsystem, and a data processing subsystem.