Image analysis – Applications – Biomedical applications
Reexamination Certificate
2008-02-01
2011-11-29
Carter, Aaron W (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S154000, C345S419000
Reexamination Certificate
active
08068654
ABSTRACT:
A method and system for detecting 3D objects in images is disclosed. In particular, a method and system for Ileo-Cecal Valve detection in 3D computed tomography (CT) images using incremental parameter learning and ICV specific prior learning is disclosed. First, second, and third classifiers are sequentially trained to detect candidates for position, scale, and orientation parameters of a box that bounds an object in 3D image. In the training of each sequential classifier, new training samples are generated by scanning the object's configuration parameters in the current learning projected subspace (position, scale, orientation), based on detected candidates resulting from the previous training step. This allows simultaneous detection and registration of a 3D object with full 9 degrees of freedom. ICV specific prior learning can be used to detect candidate voxels for an orifice of the ICV and to detect initial ICV box candidates using a constrained orientation alignment at each candidate voxel.
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Barbu Adrian
Bogoni Luca
Comaniciu Dorin
Lu Le
Salganicoff Marcos
Carter Aaron W
Siemens Akteingesellschaft
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