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1.发明申请
公开(公告)号：WO9942031A9
公开(公告)日：1999-11-04
申请号：PCT/US9903287
申请日：1999-02-23
Applicant: ARCH DEV CORP
Inventor： ARMATO SAMUEL G III , GIGER MARYELLEN L , MACMAHON HEBER
CPC classification number: G06K9/38 , A61B6/50 , G06T7/11 , G06T7/12 , G06T7/66 , G06T2207/10116 , G06T2207/20012 , G06T2207/30061
Abstract: A method, system, and computer product for the automated segmentation of the lung fields and costophrenic angle (CP) regions in posteroanterior (PA) chest radiographs, wherein image segmentation based on gray-level threshold analysis (S3, 1003) is performed by applying an iterative global gray-level thresholding method (S5, 1005) to a chest image based on the features of a global gray-level histogram (S3, 1003). Features of the regions in a binary image constructed at each iteration are identified and analyzed to exclude regions external to the lung fields. The initial lung contours that result from this global process are used to facilitate a local gray-level thresholding method (S6, 1006). Individual regions-of-interest (ROIs) are placed along the initial contour. A procedure is implemented to determine the gray-level thresholds to be applied to the pixels within the individual ROIs. The result is a binary image, from which final contours are constructed.
Abstract translation: 一种用于前后（PA）胸部X光照片中肺野和肋骨角度（CP）区域自动分割的方法，系统和计算机产品，其中基于灰度阈值分析的图像分割（S3,1003）通过应用 基于全局灰度直方图的特征，对胸部图像进行迭代全局灰度阈值化方法（S5,1005）（S3,1003）。 识别和分析在每个迭代构建的二进制图像中的区域的特征以排除肺部外部的区域。 由该全局过程产生的初始肺轮廓用于促进局部灰度阈值法（S6，1006）。 单个感兴趣区域（ROI）沿初始轮廓放置。 实施一个程序来确定要应用于各个ROI内的像素的灰度级阈值。 结果是二进制图像，从中构建最终轮廓。
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2.发明公开METHOD AND SYSTEM FOR THE SEGMENTATION OF LUNG REGIONS IN LATERAL CHEST RADIOGRAPHS 失效VERFAHREN UND SYSTEM ZUR EINTEILUNG VON TEILEN DER LUNGE BEI LATERALER THORAX-RADIOGRAPHIE
公开(公告)号：EP0998719A4
公开(公告)日：2000-11-22
申请号：EP98937064
申请日：1998-07-24
Applicant: ARCH DEV CORP
Inventor： ARMATO SAMUEL G III , GIGER MARYELLEN L , MACMAHON HEBER
CPC classification number: G06K9/38 , G06T7/11 , G06T7/136 , G06T2207/10116 , G06T2207/20012 , G06T2207/30061
Abstract: A method and system for the automated segmentation of the lung regions in lateral chest radiographs (10) based on gray-level threshold analysis. Approximate outer bounds on the extent of the lung fields in the image are identified to restrict the region further analyzed (16). An iterative global gray-level thresholding method (20) is applied based on the features of a global gray-level histogram. Features of the regions in a binary image constructed at each iteration are identified and subjected to a modified analysis to exclude regions external to the lung field. Individual regions-of-interest (ROIs) are placed along the initial contour. The single gray-level threshold to be applied to the pixels within the individual ROIs is determined (1009). A final contour is constructed to enclose "on" regions (26). Smoothing is performed using a rolling ball method and fitted polynomial curves are spliced into the final contour (1011).
Abstract translation: 侧胸部X光照片中肺部区域自动分割的方法和系统。 根据本发明，通过提供基于灰度级阈值分析的改进的计算机化，自动化的图像分割方法来实现。 执行用于识别图像中肺域范围的近似外界的独特方法，以限制进一步分析的区域。 基于全局灰度直方图的特征，应用迭代全局灰度阈值法。 识别在每次迭代中构建的二进制图像中的区域的特征，并进行修改分析以排除肺部外部的区域。 由该全局过程产生的初始肺区域轮廓用于促进新颖的自适应局部灰度阈值法。 感兴趣的个别地区（ROI）沿初始轮廓放置。 几个ROI的尺寸基于其中包围的患者解剖结构。 实施独特的过程来确定要应用于各个ROI内的像素的单个灰度级阈值。 形成复合二进制图像，并且构造最终轮廓以包围其上的“开”区域。 应用平滑过程，包括滚球法的独特适应性，并将拟合的多项式曲线拼接成最终轮廓。
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Patent Agency Ranking3.发明公开METHOD AND SYSTEM FOR THE AUTOMATED DELINEATION OF LUNG REGIONS AND COSTOPHRENIC ANGLES IN CHEST RADIOGRAPHS 审中-公开方法及系统胸部X射线照片肺组织和膈角的显示器自动EDGE制图
公开(公告)号：EP1056390A4
公开(公告)日：2002-01-02
申请号：EP99908179
申请日：1999-02-23
Applicant: ARCH DEV CORP
Inventor： ARMATO SAMUEL G III , GIGER MARYELLEN L , MACMAHON HEBER
CPC classification number: G06K9/38 , A61B6/50 , G06T7/11 , G06T7/12 , G06T7/66 , G06T2207/10116 , G06T2207/20012 , G06T2207/30061
Abstract: A method, system, and computer product for the automated segmentation of the lung fields and costophrenic angle (CP) regions in posteroanterior (PA) chest radiographs, wherein image segmentation based on gray-level threshold analysis (S3, 1003) is performed by applying an iterative global gray-level thresholding method (S5, 1005) to a chest image based on the features of a global gray-level histogram (S3, 1003). Features of the regions in a binary image constructed at each iteration are identified and analyzed to exclude regions external to the lung fields. The initial lung contours that result from this global process are used to facilitate a local gray-level thresholding method (S6, 1006). Individual regions-of-interest (ROIs) are placed along the initial contour. A procedure is implemented to determine the gray-level thresholds to be applied to the pixels within the individual ROIs. The result is a binary image, from which final contours are constructed.
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公开(公告)号：AU2767399A
公开(公告)日：1999-09-06
申请号：AU2767399
申请日：1999-02-23
Applicant: ARCH DEV CORP
Inventor： ARMATO SAMUEL G III , GIGER MARYELLEN L , MACMAHON HEBER
Abstract: A method, system, and computer product for the automated segmentation of the lung fields and costophrenic angle (CP) regions in posteroanterior (PA) chest radiographs wherein image segmentation based on gray-level threshold analysis is performed by applying an iterative global gray-level thresholding method to a chest image based on the features of a global gray-level histogram. Features of the regions in a binary image constructed at each iteration are identified and analyzed to exclude regions external to the lung fields. The initial lung contours that result from this global process are used to facilitate a local gray-level thresholding method. Individual regions-of-interest (ROIs) are placed along the initial contour. A procedure is implemented to determine the gray-level thresholds to be applied to the pixels within the individual ROIs. The result is a binary image, from which final contours are constructed. Smoothing processes are applied, including a unique adaptation of a rolling ball method. CP angles are identified and delineated by using the lung segmentation contours as a means of placing ROIs that capture the CP angle regions. Contrast-based information is employed on a column-by-column basis to identify initial diaphragm points, and maximum gray-level information is used on a row-by-row basis to identify initial costal points. Analysis of initial diaphragm and costal points allows for appropriate adjustment of CP angle ROI positioning. Polynomial curve-fitting is used to combine the diaphragm and costal points into a continuous, smooth CP angle delineation. This delineation is then spliced into the final lung segmentation contours. In addition, quantitative information derived from the CP angle delineations is used to assess the presence of abnormal CP angles.
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公开(公告)号：AU2954001A
公开(公告)日：2001-07-31
申请号：AU2954001
申请日：2001-01-18
Applicant: ARCH DEV CORP
Inventor： ARMATO SAMUEL G III , GIGER MARYELLEN L , MACMAHON HEBER
Abstract: A method, system and computer readable medium for automated detection of lung nodules in computed tomography (CT) image scans, including generating two-dimensional segmented lung images by segmenting a plurality of two-dimensional CT image sections derived from the CT image scans; generating three-dimensional segmented lung volume images by combining the two-dimensional segmented lung images; determining three-dimensional lung nodule candidates from the three-dimensional segmented lung volume images, including, identifying structures within the three-dimensional segmented lung volume images that meet a volume criterion; deriving features from the lung nodule candidates; and detecting lung nodules by analyzing the features to eliminate false-positive nodule candidates from the nodule candidates.
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6.发明专利
公开(公告)号：AU2954101A
公开(公告)日：2001-07-31
申请号：AU2954101
申请日：2001-01-18
Applicant: ARCH DEV CORP
Inventor： ARMATO SAMUEL G III , MACMAHON HEBER , GIGER MARYELLEN L
Abstract: Automated Method and System for the Segmentation of Lung Regions in Computed Tomography Scans 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 gray 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.
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公开(公告)号：AU8586098A
公开(公告)日：1999-02-16
申请号：AU8586098
申请日：1998-07-24
Applicant: ARCH DEV CORP
Inventor： ARMATO SAMUEL G III , GIGER MARYELLEN L , MACMAHON HEBER
Abstract: A method and system for the automated segmentation of the lung regions in lateral chest radiographs. This is achieved according to the invention by providing an improved computerized, automated method for image segmentation based on gray-level threshold analysis. A unique method for identifying an approximate outer bounds on the extent of the lung fields in the image is performed to restrict the region further analyzed. An iterative global gray-level thresholding method is applied based on the features of a global gray-level histogram. Features of the regions in a binary image constructed at each iteration are identified and subjected to a modified analysis to exclude regions external to the lung field. The initial lung region contour that results from this global process is used to facilitate a novel adaptive local gray level thresholding method. Individual regions-of-interest (ROIs) are placed along the initial contour. The dimensions of the several ROIs are based upon the patient anatomy enclosed therein. A unique procedure is implemented to determine the single gray-level threshold to be applied to the pixels within the individual ROIs. A composite binary image results, and a final contour is constructed to enclose "on" regions thereof. Smoothing processes are applied, including a unique adaptation of a rolling ball method, and fitted polynomial curves are spliced into the final contour.
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