首页> 外国专利> SYSTEM FOR ANALYZING PERFUSION IN A DYNAMIC ENHANCED FOCUS LUNG COMPUTERIZED TOMOGRAPHY IMAGE AND A METHOD THEREOF CAPABLE OF AUTOMATICALLY CLASSIFYING VARIOUS TYPES OF SOLITARY PULMONARY NODULE CONNECTED WITH BLOOD VESSELS

SYSTEM FOR ANALYZING PERFUSION IN A DYNAMIC ENHANCED FOCUS LUNG COMPUTERIZED TOMOGRAPHY IMAGE AND A METHOD THEREOF CAPABLE OF AUTOMATICALLY CLASSIFYING VARIOUS TYPES OF SOLITARY PULMONARY NODULE CONNECTED WITH BLOOD VESSELS

机译:动态增强的肺部X线断层摄影图像中的灌注分析系统及一种能够自动分类与血管相连的各种类型的肺结节的方法

摘要

PURPOSE: A system for analyzing perfusion in a dynamic enhanced focus lung computerized tomography image and a method thereof are provided to accurately and efficiently separate solitary pulmonary nodule by applying proper curvature and shape information based algorithm according to a type of solitary pulmonary nodule.;CONSTITUTION: A solitary pulmonary nodule candidate area is extracted from a type of solitary pulmonary nodule determined from a lung computerized tomography image(210). The solitary pulmonary nodule is divided by separating surrounding tissues from the solitary pulmonary nodule candidate area(212). An image before dynamic enhanced focus and an image after dynamic enhanced focus are initially matched with each other by using a central point of the solitary pulmonary nodule(214). The initial matching is corrected through rigid matching based on mutual information(216). The solitary pulmonary nodule divided from the image before dynamic enhanced focus is regionalized(218). Perfusion analysis is performed by using an average brightness value for each region(220).;COPYRIGHT KIPO 2013;[Reference numerals] (210) Extracting a solitary pulmonary nodule candidate area; (212) Dividing a solitary pulmonary nodule by separating surrounding tissues; (214) Initially matching enhanced images before and after dynamic enhanced focus with each other; (216) Correcting the initial matching; (218) Regionalizing the divided solitary pulmonary nodule; (220) Performing perfusion analysis using an average brightness value for each region; (AA,BB) Start;
机译:目的:提供一种用于分析动态增强聚焦肺部计算机断层扫描图像中的灌注的系统及其方法,以根据一种孤立的肺结节类型应用适当的基于曲率和形状信息的算法来准确有效地分离孤立的肺结节。 :从肺部X线断层扫描图像确定的一种孤立性肺结节类型中提取一个孤立性肺结节候选区域(210)。通过将周围组织与孤立肺结节候选区域分开来分割孤立肺结节(212)。动态增强焦点之前的图像和动态增强焦点之后的图像首先通过使用孤立的肺结节的中心点相互匹配(214)。通过基于互信息的刚性匹配来校正初始匹配(216)。在动态增强聚焦之前从图像中分离出的孤立肺结节是区域性的(218)。通过使用每个区域的平均亮度值进行灌注分析(220)。; COPYRIGHT KIPO 2013; [参考数字](210)提取单个肺结节候选区域; (212)通过分离周围组织来划分孤立的肺结节; (214)在动态增强焦点之前和之后,使增强图像彼此初始匹配; (216)更正初始匹配; (218)将分裂的孤立性肺结节区域化; (220)使用每个区域的平均亮度值进行灌注分析; (AA,BB)开始;

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