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Acquisition-orientation-dependent features for model-based segmentation of ultrasound images

机译:基于采集方向的特征,用于基于模型的超声图像分割

摘要

A model-based segmentation system includes a plurality of clusters (48), each cluster being formed to represent an orientation of a target to be segmented. One or more models (140) are associated with each cluster. The one or more models include an aspect associated with the orientation of the cluster, for example, the appearance of the target to be segmented. A comparison unit (124), configured in memory storage media, is configured to compare an ultra-sound image to the clusters to determine a closest matching orientation and is configured to select the one or more models based upon the cluster with the closest matching orientation. A model adaptation module (126) is configured to adapt the one or more models to the ultrasound image.
机译:基于模型的分割系统包括多个群集( 48 ),每个群集形成为表示要分割的目标的方向。每个群集关联一个或多个模型( 140 )。一个或多个模型包括与集群的方向相关联的方面,例如,待分割的目标的外观。配置在内存存储介质中的比较单元( 124 )配置为将超声图像与群集进行比较,以确定最接近的匹配方向,并配置为基于一个或多个模型进行选择匹配方向最接近的集群。模型适应模块( 126 )被配置为使一个或多个模型适应超声图像。

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