发明授权
- 专利标题: System and method for detection of fetal anatomies from ultrasound images using a constrained probabilistic boosting tree
- 专利标题(中): 使用约束概率增强树从超声图像中检测胎儿解剖结构的系统和方法
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申请号: US12056107申请日: 2008-03-26
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公开(公告)号: US07995820B2公开(公告)日: 2011-08-09
- 发明人: Gustavo Henrique Monteiro de Barros Carneiro , Bogdan Georgescu , Sara Good , Dorin Comaniciu
- 申请人: Gustavo Henrique Monteiro de Barros Carneiro , Bogdan Georgescu , Sara Good , Dorin Comaniciu
- 申请人地址: US PA Malvern
- 专利权人: Siemens Medical Solutions USA, Inc.
- 当前专利权人: Siemens Medical Solutions USA, Inc.
- 当前专利权人地址: US PA Malvern
- 主分类号: G06K9/00
- IPC分类号: G06K9/00
摘要:
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.
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