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1. 发明授权

US07756306B2 Method and apparatus for extracting cerebral ventricular system from images 失效
标题翻译：从图像中提取脑室系统的方法和装置
公开(公告)号：US07756306B2
公开(公告)日：2010-07-13
申请号：US10547441
申请日：2003-02-27
申请人： Wieslaw Lucjan Nowinski , Yan Xia , Aamer Aziz , Qingmao Hu
发明人： Wieslaw Lucjan Nowinski , Yan Xia , Aamer Aziz , Qingmao Hu
IPC分类号： G06K9/00
CPC分类号： G06K9/342 , G06K9/3233 , G06K2209/05 , G06T7/11 , G06T7/187 , G06T2207/10088 , G06T2207/20156 , G06T2207/30016
摘要： A method and apparatus for extracting a cerebral ventricular system from images of one or more cerebral ventricular regions comprises defining multiple regions of interest (ROI) in the images, defining seed points within each ROI, growing images of ventricular regions while correcting for leakages into extraventricular space and connecting the ventricular regions grown.
摘要翻译：一种用于从一个或多个脑室区域的图像提取脑室系统的方法和装置包括在图像中定义多个感兴趣区域（ROI），在每个ROI内定义种子点，增加心室区域的图像，同时校正泄漏到室内空间和连接心室生长。

2. 发明授权

US07889895B2 Method and apparatus for identifying pathology in brain images 失效
标题翻译：用于识别脑图像病理学的方法和装置
公开(公告)号：US07889895B2
公开(公告)日：2011-02-15
申请号：US10582725
申请日：2003-12-12
申请人： Wieslaw Lucjan Nowinski , Qingmao Hu
发明人： Wieslaw Lucjan Nowinski , Qingmao Hu
IPC分类号： G06K9/00 , A61B5/05
CPC分类号： G06T7/0012 , G06T7/11 , G06T2207/10072 , G06T2207/30016
摘要： A method and apparatus for identifying pathology in a brain image comprises the steps of firstly determining the location of the midsagittal plane (MSP) of the brain illustrated in the image under examination by identifying the symmetry of the two hemispheres based on the determination of up to 16 approximated fissure line segments (AFLSs). Those AFLSs with a larger angular deviation from the MSP than a predefined threshold are considered as outlier AFLSs while the rest are taken as inlier AFLSs. The ratio of the number of the outlier AFLSs to the number of inlier AFLSs is then calculated. A comparison of the ratio with a further predetermined threshold value is made and if the ratio exceeds the further predetermined threshold value, pathology is present in the brain image.
摘要翻译：一种用于识别脑图像中的病理学的方法和装置包括以下步骤：首先通过基于最多至多的确定来确定两个半球的对称性来确定所检查的图像中所示的脑的中间正面（MSP）的位置 16个近似裂缝线段（AFLS）。与MSP相比具有较大角度偏离的那些AFLS比预定义的阈值被认为是异常AFLS，而其余的被认为是非线性AFLS。然后计算异常值AFLS的数量与异常AFLS的数量的比率。进行比率与另外的预定阈值的比较，如果比率超过另外的预定阈值，则脑图像中存在病理学。

3. 发明授权

US07409085B2 Method and apparatus for determining symmetry in 2d and 3d images 失效
标题翻译：用于确定2d和3d图像中的对称性的方法和装置
公开(公告)号：US07409085B2
公开(公告)日：2008-08-05
申请号：US10477295
申请日：2002-01-18
申请人： Qingmao Hu , Wieslaw Lucjan Nowinski
发明人： Qingmao Hu , Wieslaw Lucjan Nowinski
IPC分类号： G06K9/00 , G06K9/32 , G06K9/36
CPC分类号： G06T7/68 , G06T2207/30016
摘要： A method of determining symmetry in an image, a method of determining a symmetry plane line segment of a 3D image, a method of determining a symmetry line of a 2D image, and a computer program product. The method includes a) determining at least one searching line segment within a predefined search area of an image portion, the at least one searching line segment including a reference point (x, y) at its center and an angle θ with respect to a predetermined axis of the image portion; b) for each searching line segment, determining a first local characteristic in accordance with a measurement at points adjacent the searching line segment; c) determining the symmetry in the image in accordance with a calculation based on the first local characteristic.
摘要翻译：一种确定图像中的对称性的方法，确定3D图像的对称平面线段的方法，确定2D图像的对称线的方法以及计算机程序产品。该方法包括：a）确定图像部分的预定义搜索区域内的至少一个搜索线段，所述至少一个搜索线段包括其中心处的参考点（x，y）和相对于预定的图像部分的轴线; b）对于每个搜索线段，根据与搜索线段相邻的点处的测量来确定第一局部特征; c）根据基于第一局部特性的计算确定图像中的对称性。

4. 发明授权

US08249316B2 Component labeling 失效
标题翻译：组件标签
公开(公告)号：US08249316B2
公开(公告)日：2012-08-21
申请号：US11815614
申请日：2006-02-07
申请人： Qingmao Hu , Wieslaw Lucjan Nowinski , Guoyu Qian
发明人： Qingmao Hu , Wieslaw Lucjan Nowinski , Guoyu Qian
IPC分类号： G06K9/00 , G06K9/20
CPC分类号： G06T7/11 , G06T7/194 , G06T2207/10072 , G06T2207/30016
摘要： Disclosed herein are methods, computer systems and computer program products for labeling components. One method includes the step of labeling (130) with a current label all voxels that are internal to a predetermined sub-volume oriented with respect to an unlabeled voxel, and directly connected to the unmarked voxel. The labeling step is repeated for all voxels that are not internal to the predetermined sub-volume, but which are labeled with a current label. The method includes the step of incrementing the current label and may include the step of increasing a window size to a predetermined maximum. The preceding steps are repeated for remaining unlabeled object voxels.
摘要翻译：本文公开了用于标记组件的方法，计算机系统和计算机程序产品。一种方法包括用当前标签（130）对相对于未标记体素定向的并且直接连接到未标记体素的预定子体内部的所有体素标记（130）的步骤。对于不在预定子体积内部但是用当前标签标记的所有体素重复标记步骤。该方法包括增加当前标签的步骤，并且可以包括将窗口大小增加到预定最大值的步骤。对于剩余的未标记的对象体素重复前述步骤。

5. 发明授权

US07715607B2 Automated method for identifying landmarks within an image of the brain 有权
标题翻译：用于识别大脑图像内的地标的自动方法
公开(公告)号：US07715607B2
公开(公告)日：2010-05-11
申请号：US10550366
申请日：2004-07-26
申请人： Qingmao Hu , Wieslaw Lucjan Nowinski
发明人： Qingmao Hu , Wieslaw Lucjan Nowinski
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T7/155 , G06T7/194 , G06T2207/10088 , G06T2207/20104 , G06T2207/30016
摘要： A method is disclosed for obtaining the location of a landmark in an MR image of a brain. In a first step, a region of interest in a plane within the MR image containing the landmark is defined. In a second step, the ROI is binarised into foreground and background voxels based on at least one threshold selected using anatomical knowledge. In a third step a set of object voxels is identified from the foreground voxels, excluding voxels which were only classified as object due to proximity of cortical and non-cortical structures. This can be done by morphological processing which reclassifies voxels which may have been incorrectly classified as object, followed by restoring voxels due to the partial volume effect and/or morphological erosion/opening. In a fourth step, an automatic process is then carried out to identify one or more landmarks in the modified binarised image.
摘要翻译：公开了一种用于获得大脑MR图像中的地标的位置的方法。在第一步骤中，定义包含该地标的MR图像内的平面内的感兴趣区域。在第二步中，基于使用解剖学知识选择的至少一个阈值将ROI二值化为前景和背景体素。在第三步中，从前景体素识别一组对象体素，排除由于皮层和非皮层结构的接近而被归类为对象的体素。这可以通过形态学处理来完成，其将可能被错误地分类为对象的体素重新分类，随后由于部分体积效应和/或形态侵蚀/打开而恢复体素。在第四步骤中，然后执行自动处理以识别经修改的二进制化图像中的一个或多个地标。

6. 发明申请

US20100049035A1 Brain image segmentation from ct data 审中-公开
标题翻译：来自ct数据的脑图像分割
公开(公告)号：US20100049035A1
公开(公告)日：2010-02-25
申请号：US11921122
申请日：2005-08-25
申请人： Qingmao Hu , Wieslaw Lucjan Nowinski , Guoyu Qian , Aamer Aziz
发明人： Qingmao Hu , Wieslaw Lucjan Nowinski , Guoyu Qian , Aamer Aziz
IPC分类号： A61B5/05 , G06K9/00
CPC分类号： G06T7/174 , G06T7/11 , G06T7/194 , G06T2207/10081 , G06T2207/30016
摘要： The brain structure is extracted from CT data based on thresholding and brain mask propagation. Two thresholds are determined: a high threshold excludes the high intensity bones, while a low threshold excludes air and CSF. Brain mask propagation uses the spatial relevance of brain tissues in neighbouring slices to exclude non-brain tissues with similar intensities.
摘要翻译：基于阈值和脑屏障传播从CT数据中提取脑结构。确定两个阈值：高阈值排除高强度骨骼，而低阈值排除空气和CSF。脑膜传播使用相邻切片中脑组织的空间相关性排除具有相似强度的非脑组织。

7. 发明申请

US20080273772A1 Component Labeling 失效
标题翻译：组件标签
公开(公告)号：US20080273772A1
公开(公告)日：2008-11-06
申请号：US11815614
申请日：2006-02-07
申请人： Qingmao Hu , Wieslaw Lucjan Nowinski , Guoyu Qian
发明人： Qingmao Hu , Wieslaw Lucjan Nowinski , Guoyu Qian
IPC分类号： G06K9/00
CPC分类号： G06T7/11 , G06T7/194 , G06T2207/10072 , G06T2207/30016
摘要： Disclosed herein are methods, computer systems and computer program products for labeling components. One method includes the step of labeling (130) with a current label all voxels that are internal to a predetermined sub-volume oriented with respect to an unlabeled voxel, and directly connected to the unmarked voxel. The labeling step is repeated for all voxels that are not internal to the predetermined sub-volume, but which are labeled with a current label. The method includes the step of incrementing the current label and may include the step of increasing a window size to a predetermined maximum. The preceding steps are repeated for remaining unlabeled object voxels.
摘要翻译：本文公开了用于标记组件的方法，计算机系统和计算机程序产品。一种方法包括用当前标签（130）对相对于未标记体素定向的并且直接连接到未标记体素的预定子体内部的所有体素标记（130）的步骤。对于不在预定子体积内部但是用当前标签标记的所有体素重复标记步骤。该方法包括增加当前标签的步骤，并且可以包括将窗口大小增加到预定最大值的步骤。对于剩余的未标记的对象体素重复前述步骤。

8. 发明申请

US20120246181A1 METHOD FOR CONSTRUCTION AND USE OF A PROBABILISTIC ATLAS FOR DIAGNOSIS AND PREDICTION OF A MEDICAL OUTCOME 审中-公开
标题翻译：建立和使用概念性ATLAS进行诊断和预测医疗成果的方法
公开(公告)号：US20120246181A1
公开(公告)日：2012-09-27
申请号：US13512322
申请日：2010-11-23
申请人： Wieslaw Lucjan Nowinski , Varsha Gupta
发明人： Wieslaw Lucjan Nowinski , Varsha Gupta
IPC分类号： G06F17/30
CPC分类号： G06T19/00 , G06F19/321 , G06T7/0012 , G06T2207/20128 , G06T2207/30096 , G06T2210/41 , G16H50/50 , G16H50/70
摘要： Medical scan data, such as brain scan data, from a plurality of patients suffering from a medical condition such as a stroke is used to construct a probabilistic atlas. A first portion of the atlas indicates, for each location, the corresponding likelihood of a medical abnormality (such as a lesion) associated with the medical condition being present at that location. A second portion of the atlas includes, for each location and each of one or more parameters, corresponding parameter data indicative of the values taken by the parameter for those patients suffering from the medical abnormality at the corresponding location. The probabilistic map can be used to extract outcome data from a scan obtained from a new subject, such as by locating a medical abnormality within the scan of the subject, and obtaining the outcome data using the corresponding locations in the probabilistic map.
摘要翻译：使用患有诸如中风等医疗状况的患者的医学扫描数据（例如脑扫描数据）构建概率图谱。地图集的第一部分针对每个位置指示与该位置处的医疗状况相关联的医疗异常（例如病变）的相应可能性。地图册的第二部分对于每个位置以及一个或多个参数中的每一个包括相应的参数数据，该参数表示在相应位置处于患有医疗异常的那些患者的参数所采取的值。概率图可以用于从从新受试者获得的扫描中提取结果数据，例如通过在受试者的扫描内定位医学异常，以及使用概率图中的相应位置获得结果数据。

9. 发明申请

US20100322496A1 METHOD AND SYSTEM FOR ANATOMY STRUCTURE SEGMENTATION AND MODELING IN AN IMAGE 审中-公开
标题翻译：用于解剖结构分割和图像建模的方法和系统
公开(公告)号：US20100322496A1
公开(公告)日：2010-12-23
申请号：US12735962
申请日：2009-02-27
申请人： Jimin Liu , Su Huang , Wieslaw Lucjan Nowinski
发明人： Jimin Liu , Su Huang , Wieslaw Lucjan Nowinski
IPC分类号： G06K9/00
CPC分类号： G06T15/08 , G06T7/11 , G06T7/136 , G06T7/187 , G06T7/33 , G06T19/00 , G06T2207/10081 , G06T2207/10088 , G06T2207/20128 , G06T2207/20156 , G06T2207/30016 , G06T2210/41
摘要： A method is proposed for segmenting one or more ventricles in a three-dimensional brain scan image (e.g. MR or CT). The image is registered against a brain model, which ventricle models of each of the one or more ventricles. Respective regions of interest are defined based on the ventricle models. Object regions are first obtained by applying region growing procedure in the regions of interest, and then trimmed based on anatomical knowledge. A 3D surface model of one or more objects is constructed within a 3D space from the segmented structure. A 3D surface is edited and refined by a user selecting amendment points in the 3D space which are indicative of missing detail features. A region of the 3D surface near the selected points is then warped towards the amendment points smoothly, and the modified patch is combined with the rest of the 3D surface yields the accurate anatomy structure model.
摘要翻译：提出了一种用于在三维脑扫描图像（例如MR或CT）中分割一个或多个心室的方法。该图像针对脑模型进行登记，该脑模型是每个心室的心室模型。基于心室模型定义感兴趣区域。首先通过在感兴趣区域中应用区域生长过程获得对象区域，然后基于解剖学知识进行修剪。一个或多个对象的3D表面模型在分割结构的3D空间内构建。 3D表面由用户选择3D空间中的修改点进行编辑和细化，这些修饰点指示缺少的细节特征。然后，所选点附近的3D表面的区域顺利地向修改点弯曲，并且修改的贴片与3D表面的其余部分组合产生精确的解剖结构模型。

10. 发明授权

US07783132B2 Method and apparatus for atlas-assisted interpretation of magnetic resonance diffusion and perfusion images 有权
标题翻译：用于图谱辅助解释磁共振扩散和灌注图像的方法和装置
公开(公告)号：US07783132B2
公开(公告)日：2010-08-24
申请号：US11415679
申请日：2006-05-02
申请人： Wieslaw Lucjan Nowinski , Bhanu Prakash , Ihar Volkau , Anand Anthanasubramaniam
发明人： Wieslaw Lucjan Nowinski , Bhanu Prakash , Ihar Volkau , Anand Anthanasubramaniam
IPC分类号： G06K9/32 , G06K9/00
CPC分类号： G06T7/38 , G06T7/33 , G06T7/35 , G06T2207/10096 , G06T2207/30016 , G06T2207/30104
摘要： The present invention discloses a method for registering a measured MRI volume image with appropriate anatomical and blood supply territory Atlases to enable Atlas information to be mapped onto the measured MRI volume image. The disclosed arrangements provide an efficient method for mapping brain Atlas information (including gross anatomy and blood supply territories) into magnetic resonance perfusion and diffusion images.
摘要翻译：本发明公开了一种用于将测量的MRI体积图像与适当的解剖和血液供应领域Atlases进行登记的方法，以使Atlas信息能够映射到测量的MRI体积图像上。所公开的安排提供了将脑Atlas信息（包括大体解剖学和血液供应领域）映射到磁共振灌注和扩散图像中的有效方法。

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