Image analysis – Applications – Biomedical applications
Reexamination Certificate
2006-10-10
2010-11-09
Bella, Matthew C (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S103000, C382S107000, C382S155000, C382S159000, C348S169000
Reexamination Certificate
active
07831074
ABSTRACT:
The present invention is directed to a method for populating a database with a set of images of an anatomical structure. The database is used to perform appearance matching in image pairs of the anatomical structure. A set of image pairs of anatomical structures is received, where each image pair is annotated with a plurality of location-sensitive regions that identify a particular aspect of the anatomical structure. Weak learners are iteratively selected and an image patch is identified. A boosting process is used to identify a strong classifier based on responses to the weak learners applied to the identified image patch for each image pair. The responses comprise a feature response and a location response associated with the image patch. Positive and negative image pairs are generated. The positive and negative image pairs are used to learn a similarity function. The learned similarity function and iteratively selected weak learners are stored in the database.
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Bardinet et al., “Tracking and Motion Analysis of the Left Ventricle with Deformable Superquadrics”, Medical Image Analysis, vol. 1, No. 2, 1996, pp. 129-149.
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Barbu Adrian
Comaniciu Dorin
Dowdall Jonathan
Georgescu Bogdan
Shao Jie
Bella Matthew C
Siemens Corporation
Torres José M
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