Please use this identifier to cite or link to this item:
https://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 |
Description (link): | http://www.patentlens.net/patentlens/patent/US_7995820/en/ |
Appears in Collections: | Aurora harvest 4 Computer Science publications |
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