公开(公告)号：KR101251822B1

公开(公告)日：2013-04-09

申请号：KR1020110120578

申请日：2011-11-18

Applicant: 서울여자대학교 산학협력단

Inventor： 홍헬렌 ,  조현희 ,  구진모 ,  박창민

IPC: A61B6/03 ,  G06T7/00

CPC classification number: A61B6/507

Abstract: 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). [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;

Abstract translation: 目的：提供一种用于分析动态增强型聚焦肺计算机断层摄影图像中的灌注的系统及其方法，以通过根据孤立性肺结节的类型应用适当的曲率和形状信息的算法来精确和有效地分离孤立性肺结节。 构成：从肺计算机断层摄影图像确定的一种孤立性肺结节中提取孤立性肺结核候选区域（210）。 孤立性肺结节通过从孤立性肺结节候选区域分离周围组织而被分割（212）。 动态增强焦点之前的图像和动态增强焦点之后的图像最初通过使用孤立肺结节（214）的中心点相互匹配。 初始匹配通过基于互信息的刚性匹配进行修正（216）。 动态增强焦点之前分离的孤立性肺结节区分（218）。 通过使用每个区域的平均亮度值来执行灌注分析（220）。 （210）提取孤立性肺结核候选区域; （212）通过分离周围组织分割孤立性肺结节; （214）最初将动态增强焦点之前和之后的增强图像彼此匹配; （216）纠正初始匹配; （218）区分分离的孤立性肺结节; （220）使用每个区域的平均亮度值进行灌注分析; （AA，BB）开始;