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:
Aug. 05, 2008
Filed:
Sep. 21, 2004
Chenyang Xu, Allentown, NJ (US);
Xiaolei Huang, Piscataway, NJ (US);
Frank Sauer, Princeton, NJ (US);
Christophe Chefd'hotel, Princeton, NJ (US);
Jens Gühring, Langensendelbach, DE;
Sebastian Vogt, Princeton, NJ (US);
Yiyong Sun, Lawrenceville, NJ (US);
Chenyang Xu, Allentown, NJ (US);
Xiaolei Huang, Piscataway, NJ (US);
Frank Sauer, Princeton, NJ (US);
Christophe Chefd'hotel, Princeton, NJ (US);
Jens Gühring, Langensendelbach, DE;
Sebastian Vogt, Princeton, NJ (US);
Yiyong Sun, Lawrenceville, NJ (US);
Siemens Medical Solutions USA, Inc., Malvern, PA (US);
Abstract
A method of aligning a pair of images with a first image and a second image, wherein said images comprise a plurality of intensities corresponding to a domain of points in a D-dimensional space includes identifying feature points on both images using the same criteria, computing a feature vector for each feature point, measuring a feature dissimilarity for each pair of feature vectors, wherein a first feature vector of each pair is associated with a first feature point on the first image, and a second feature vector of each pair is associated with a second feature point on the second image. A correspondence mapping for each pair of feature points is determined using the feature dissimilarity associated with each feature point pair, and an image transformation is defined to align the second image with the first image using one or more pairs of feature points that are least dissimilar.