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1. 发明申请

US20140270429A1 Parallelized Tree-Based Pattern Recognition for Tissue Characterization 审中-公开
标题翻译：用于组织表征的并行化基于树的模式识别
公开(公告)号：US20140270429A1
公开(公告)日：2014-09-18
申请号：US14209915
申请日：2014-03-13
申请人： Volcano Corporation
发明人： Anuja Nair , Russell J. Fedewa , Miklos Z. Kiss
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06K9/6293 , G06K2009/00932 , G06K2209/053 , G06T7/11 , G06T7/162 , G06T2207/10068 , G06T2207/20076 , G06T2207/30101
摘要： Systems and methods for tissue characterization using multiple independent pattern recognition models are provided. Some embodiments are particularly directed to analyzing medical imaging data. In one embodiment, a method includes receiving a set of medical imaging data and receiving a set of independent tissue characterization models. Each of the set of independent tissue characterization models is applied to the set of medical imaging data in order to obtain a plurality of interim classification results. An arbitration of the plurality of interim classification results is performed to determine a constituent tissue for the set of medical imaging data. The determined constituent tissue may be displayed in combination with a graphical representation of the set of medical imaging data. Each of the set of independent tissue characterization models may be applied to the set of medical imaging data in parallel.
摘要翻译：提供了使用多个独立模式识别模型进行组织表征的系统和方法。一些实施例特别涉及分析医学成像数据。在一个实施例中，一种方法包括接收一组医学成像数据并接收一组独立的组织表征模型。将这组独立组织表征模型中的每一个应用于一组医学成像数据，以获得多个临时分类结果。执行多个临时分类结果的仲裁以确定该组医学成像数据的组成组织。所确定的组成组织可以与该组医学成像数据的图形表示组合显示。该组独立组织表征模型中的每一个可以并行地应用于该组医学成像数据。

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