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SYSTEMS, APPARATUS AND PROCESSES FOR AUTOMATED MEDICAL IMAGE SEGMENTATION USING A STATISTICAL MODEL FIELD OF THE DISCLOSURE.

机译:使用公开的统计模型字段的用于自动医学图像分割的系统,装置和过程。

摘要

A system and process for analyzing multidimensional data characterizing a least a portion of a subject is described. An input module accepts at least one multidimensional dataset which is derived from any of several types of data sources. A registration module accepts the dataset from the input module and registers the dataset from the input module to a selected anatomical model to provide a registered dataset. A processing module is coupled to the registration module and uses this in determining a core region and associated core region information, and computes threshold characteristics of the registered dataset. A segmentation module accepts the registered dataset and the core region information from the processing module, and segments the registered dataset to provide a segmented description of an organ from the registered dataset and core region information, where the segmented, registered dataset describes characteristics of the organ of the subject.
机译:描述了用于分析表征受试者的至少一部分的多维数据的系统和过程。输入模块接受至少一个多维数据集,该数据集是从几种类型的数据源中的任何一种派生的。注册模块从输入模块接受数据集,并将来自输入模块的数据集注册到选定的解剖模型以提供注册的数据集。处理模块耦合到注册模块,并使用它来确定核心区域和关联的核心区域信息,并计算注册数据集的阈值特征。分割模块从处理模块接受注册的数据集和核心区域信息,并分割注册的数据集以从注册的数据集和核心区域信息中提供器官的分割描述,其中,分割后的注册数据集描述器官的特征的主题。

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