Image analysis – Applications – Biomedical applications
Reexamination Certificate
2005-10-05
2010-02-02
Dang, Duy M (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S131000
Reexamination Certificate
active
07657073
ABSTRACT:
A nodule registration system useful for tracking lung nodules in computed tomography (CT) scans is presented. The system registers a small sphere centered on a detected nodule in one scan with another scan under a rigid transformation assumption using a fast registration scheme. The registration scheme employs very fast simulated annealing (VFSA) with constraints to maximize a tunable cross-correlation (TCC) coefficient, enabling the system to register, with minimal registration error, all nodules within their maximum diameter. The system achieves an average registration time of 10 seconds or less on a 3.06 GHz computer programmed to implement the present invention.
REFERENCES:
patent: 6324240 (2001-11-01), Yan et al.
patent: 6424732 (2002-07-01), Shiffman et al.
patent: 6503202 (2003-01-01), Hossack et al.
patent: 2004/0260170 (2004-12-01), Wood et al.
Siarry et al “Enhanced Simulated annealing for Globally Minimizing Functions of Many-Continuous Variables” (1997) ACM Transactions on Mathematical Software vol. 23, No. 2 pp. 209-228.
Segars et al. “Modeling Respiratory Mechanics in the MCAT and Spline-Based MCAT Phantoms” (1999) Nuclear Science Symposium, vol. 2 pp. 985-989.
Mantawy et al. “An Innovative Simulated Annealing Approach to the Long-Term Hydro Scheduling Problem” (2001) Large Engineering Systems Conference pp. 79-85.
Napel Sandy A.
Sun Shaohua
Dang Duy M
Lumen Patent Firm
The Board of Trustees of the Leland Stanford Junior University
LandOfFree
Registration system and method for tracking lung nodules in... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Registration system and method for tracking lung nodules in..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Registration system and method for tracking lung nodules in... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4184360