发明名称 |
METHOD FOR LEARNING-BASED OBJECT DETECTION IN CARDIAC MAGNETIC RESONANCE IMAGES |
摘要 |
An automated method for detection of an object of interest in magnetic resonance (MR) two-dimensional (2-D) images wherein the images comprise gray level patterns, the method includes a learning stage utilizing a set of positive/negative training samples drawn from a specified feature space. The learning stage comprises the steps of estimating the distributions of two probabilities <i>P</i> and <i>N</i> are introduced over the feature space, P being associated with positive samples including said object of interest and N being associated with negative samples not including said object of interest; estimating parameters of Markov chains associated with all possible site permutations using said training samples; computing the best site ordering that maximizes the Kullback distance between <i>P</i> and <i>N</i> ; computing and storing the log-likelihood ratios induced by said site ordering; scanning a test image at different scales with a constant size window; deriving a feature vector from results of said scanning; and classifying said feature vector based on said best site ordering. |
申请公布号 |
WO0146707(A3) |
申请公布日期 |
2002.01.24 |
申请号 |
WO2000US34690 |
申请日期 |
2000.12.21 |
申请人 |
SIEMENS CORPORATE RESEARCH, INC. |
发明人 |
DUTA, NICOLAE;JOLLY, MARIE-PIERRE |
分类号 |
G01R33/54;A61B5/055;G06K9/62;G06T5/00;G06T7/00 |
主分类号 |
G01R33/54 |
代理机构 |
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地址 |
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