Image analysis – Applications – Biomedical applications
Reexamination Certificate
2005-04-13
2009-11-17
Ahmed, Samir A (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S131000, C382S132000
Reexamination Certificate
active
07620223
ABSTRACT:
A system and method for registering pre-operative images of an object with an intra-operative image of the object is disclosed. Prior to an operative procedure, Digitally Reconstructed Radiographs (DRRs) are generated for the pre-operative images of each individual patient. Signatures are extracted from the DRRs. The signatures are stored in a knowledge base. During the operative procedure, a signature is extracted from the intra-operative image. The intra-operative signature is compared to the stored pre-operative signatures. A pre-operative image having a best signature match to the intra-operative signature is retrieved. The retrieved pre-operative image is registered with the intra-operative image.
REFERENCES:
patent: 6347240 (2002-02-01), Foley et al.
patent: 6614453 (2003-09-01), Suri et al.
patent: 6837892 (2005-01-01), Shoham
patent: 2002/0077543 (2002-06-01), Grzeszczuk et al.
patent: 2004/0215071 (2004-10-01), Frank et al.
Gluckman, J. “On the use of marginal statistics of subband images” Proceedings of Ninth IEEE International Conference on Computer Vision, 2003. vol. 1, 448-453.
Lille Zollei, “2D-3D Rigid-Body Registration of X-Ray Fluoroscopy and CT Images”, Masters Thesis, MIT AI Lab, Aug. 2001.
Khamene Ali
Navab Nassir
Sauer Frank
Xu Chenyang
Ahmed Samir A
Liu Li
Siemens Medical Solutions USA , Inc.
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