公开(公告)号：WO0154066A9

公开(公告)日：2002-10-17

申请号：PCT/US0101479

申请日：2001-01-18

Applicant: ARCH DEV CORP

Inventor： ARMATO SAMUEL G ,  MACMAHON HEBER ,  GIGER MARYELLEN L

IPC: A61B6/03 ,  G06K9/38 ,  G06T1/00 ,  G06T5/00 ,  G06T5/40 ,  G06T7/60

CPC classification number: G06K9/38 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/187 ,  G06T2207/10081 ,  G06T2207/20156 ,  G06T2207/30064

Abstract: A method and system for the automated segmentation of the lung regions in thoracic CT scans includes construction of a cumulative gray level profile from pixels along the diagonal of each CT section image. The shape of this profile is used to identify a gray level threshold that is used to create a binary image. A contour detection algorithm generates a segmented thorax region. The trachea and main bronchi are segmented and eliminated from the segmented thorax region to prevent subsequent inclusion within the segmented lung regions. A grey level histogram is constructed to identify a second gray level threshold, which is applied to the segmented thorax region to create a binary image. If the two lungs regions are "fused", the anterior junction is then delineated and turned "off" in the binary image to separate the two lungs. The geometric properties of "holes" within the binary image are analyzed to identify holes caused by the diaphragm. Pixels within such holes are specifically excluded from the segmented lung regions. A contour detection algorithm is used to identify the outer margins of the largest "on" regions in the binary image (excluding pixels identified as diaphragm) to define the segmented lung regions. The segmented lung regions are modified by a rolling ball technique designed to incorporate pixels that may have been erroneously excluded by initial gray level thresholding. A second diaphragm analysis is performed to prevent the rolling ball technique from incorrectly including pixels that belong to the diaphragm.

Abstract translation: 用于胸部CT扫描中的肺区域的自动分割的方法和系统包括从每个CT部分图像的对角线的像素构建累积灰度分布图。 该轮廓的形状用于识别用于创建二值图像的灰度级阈值。 轮廓检测算法生成分段胸部区域。 气管和主支气管被分割并从分段的胸部区域中消除，以防止随后包围在分段的肺部区域内。 构建灰度级直方图以识别第二灰度级阈值，该阈值应用于分割的胸部区域以创建二值图像。 如果两个肺区域“融合”，则前交叉点被描绘并在二进制图像中“关闭”以分离两个肺。 分析二进制图像中“孔”的几何特性，以识别由隔膜引起的孔。 这种孔内的像素被特定地从分割的肺部区域排除。 轮廓检测算法用于识别二进制图像中最大的“开”区域的外边界（不包括被识别为隔膜的像素），以定义分割的肺区域。 通过滚球技术修改分割的肺部区域，该技术设计为包含可能被初始灰度阈值阈值错误排除的像素。 执行第二膜分析以防止滚球技术错误地包括属于隔膜的像素。