Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/74635
Type: Patent
Title: System and method for detection of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree
Author: Carneiro, G.
Georgescu, B.
Good, S.
Comaniciu, D.
Issue Date: 2008
Assignee: Siemens Corporation, Iselin, NJ (US)
Statement of
Responsibility: 
Invented by G. Carneiro, B. Georgescu, S. Good, D. Comaniciu; Assigned to Siemens Corporation, Iselin, NJ (US)
Abstract: A method for detecting fetal anatomic features in ultrasound images includes providing an ultrasound image of a fetus, specifying an anatomic feature to be detected in a region S determined by parameter vector θ, providing a sequence of probabilistic boosting tree classifiers, each with a pre-specified height and number of nodes. Each classifier computes a posterior probability P(y|S) where yε{−1,+1}, with P(y=+1|S) representing a probability that region S contains the feature, and P(y=−1|S) representing a probability that region S contains background information. The feature is detected by uniformly sampling a parameter space of parameter vector θ using a first classifier with a sampling interval vector used for training said first classifier, and having each subsequent classifier classify positive samples identified by a preceding classifier using a smaller sampling interval vector used for training said preceding classifier. Each classifier forms a union of its positive samples with those of the preceding classifier.
Keywords: US 7995820 B2
Description: PATENT: G. Carneiro, B. Georgescu, S. Good, D. Comaniciu (Assignee: Siemens Corporation). US 7995820 B2. filed Mar. 26, 2008; published Aug. 9, 2011; Granted until Mar 26, 2028.
Patent #: US 2008/0240532 A1
RMID: 0020114549
Description (link): http://www.patentlens.net/patentlens/patent/US_7995820/en/
Appears in Collections:Computer Science publications

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