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1. 发明授权

US08014578B2 Method and system for image segmentation using models 有权
标题翻译：使用模型的图像分割方法和系统
公开(公告)号：US08014578B2
公开(公告)日：2011-09-06
申请号：US11702370
申请日：2007-02-05
申请人： Srikanth Suryanarayanan , Rakesh Mullick , Mitali Janardan More , Krishna Seetharam Shriram
发明人： Srikanth Suryanarayanan , Rakesh Mullick , Mitali Janardan More , Krishna Seetharam Shriram
IPC分类号： G06K9/00
CPC分类号： G06T7/149 , A61B6/503 , A61B6/504 , G06T7/12 , G06T2207/10081 , G06T2207/30048
摘要： A technique is provided for utilizing a model of an anatomical feature to facilitate the segmentation of the anatomical feature from its background in a medical image. A global alignment of the model with a region in the patient's image data that generally corresponds to the anatomical feature is performed in one embodiment. Internal structural features within the model are then aligned with their corresponding structural features in the patient's image data. The portion of the patient's image data that is aligned with the model of the anatomical feature is then segmented from the remaining portions of the patient's image data that are not aligned with the model.
摘要翻译：提供了一种用于利用解剖特征的模型以便于在医学图像中从其背景分割解剖特征的技术。在一个实施例中，执行模型与患者图像数据中通常对应于解剖特征的区域的全局对准。然后将模型内部的结构特征与患者图像数据中的相应结构特征对齐。然后将与解剖特征的模型对准的患者图像数据的部分从患者图像数据的与模型对准的剩余部分分割。

2. 发明授权

US08041088B2 Brain image alignment method and system 有权
标题翻译：脑图像对齐方法及系统
公开(公告)号：US08041088B2
公开(公告)日：2011-10-18
申请号：US11702372
申请日：2007-02-05
申请人： Yogisha Mallya , Srikanth Suryanarayanan , Krishna Seetharam Shriram , Rakesh Mullick , Mitali Janardan More
发明人： Yogisha Mallya , Srikanth Suryanarayanan , Krishna Seetharam Shriram , Rakesh Mullick , Mitali Janardan More
IPC分类号： G06K9/00
CPC分类号： A61B6/032 , A61B6/501 , A61B6/5247 , G06T7/38
摘要： A technique for automatically labeling a CT image of the brain with anatomical information. The anatomical information is obtained from an atlas of the brain prepared from an MR image of the brain. The atlas contains image data that is referenced to the Talairach coordinate system. The atlas is aligned to the CT image and the coordinate system of the CT image data is transformed to the Talairach coordinate system. The alignment of the CT image and the atlas is performed using anatomical landmarks that are visible on both the CT image and the atlas. The CT image is then labeled automatically with the anatomical information in the atlas.
摘要翻译：一种用解剖信息自动标记大脑CT图像的技术。解剖信息是从脑的MR图像准备的大脑图集获得的。图集包含参考Talairach坐标系的图像数据。图集与CT图像对齐，CT图像数据的坐标系转换为Talairach坐标系。使用在CT图像和图谱上可见的解剖学标记来执行CT图像和图谱的对准。然后用图谱中的解剖信息自动标记CT图像。

3. 发明申请

US20080188741A1 Brain image alignment method and system 有权
标题翻译：脑图像对齐方法及系统
公开(公告)号：US20080188741A1
公开(公告)日：2008-08-07
申请号：US11702372
申请日：2007-02-05
申请人： Yogisha Mallya , Srikanth Suryanarayanan , Krishna Seetharam Shriram , Rakesh Mullick , Mitali Janardan More
发明人： Yogisha Mallya , Srikanth Suryanarayanan , Krishna Seetharam Shriram , Rakesh Mullick , Mitali Janardan More
IPC分类号： A61B5/055
CPC分类号： A61B6/032 , A61B6/501 , A61B6/5247 , G06T7/38
摘要： A technique for automatically labeling a CT image of the brain with anatomical information. The anatomical information is obtained from an atlas of the brain prepared from an MR image of the brain. The atlas contains image data that is referenced to the Talairach coordinate system. The atlas is aligned to the CT image and the coordinate system of the CT image data is transformed to the Talairach coordinate system. The alignment of the CT image and the atlas is performed using anatomical landmarks that are visible on both the CT image and the atlas. The CT image is then labeled automatically with the anatomical information in the atlas.
摘要翻译：一种用解剖信息自动标记大脑CT图像的技术。解剖信息是从脑的MR图像准备的大脑图集获得的。图集包含参考Talairach坐标系的图像数据。图集与CT图像对齐，CT图像数据的坐标系转换为Talairach坐标系。使用在CT图像和图谱上可见的解剖学标记来执行CT图像和图谱的对准。然后用图谱中的解剖信息自动标记CT图像。

4. 发明申请

US20080188734A1 Method and system for image segmentation using models 有权
标题翻译：使用模型的图像分割方法和系统
公开(公告)号：US20080188734A1
公开(公告)日：2008-08-07
申请号：US11702370
申请日：2007-02-05
申请人： Srikanth Suryanarayanan , Rakesh Mullick , Mitali Janardan More , Krishna Seetharam Shriram
发明人： Srikanth Suryanarayanan , Rakesh Mullick , Mitali Janardan More , Krishna Seetharam Shriram
IPC分类号： A61B5/00
CPC分类号： G06T7/149 , A61B6/503 , A61B6/504 , G06T7/12 , G06T2207/10081 , G06T2207/30048
摘要： A technique is provided for utilizing a model of an anatomical feature to facilitate the segmentation of the anatomical feature from its background in a medical image. A global alignment of the model with a region in the patient's image data that generally corresponds to the anatomical feature is performed in one embodiment. Internal structural features within the model are then aligned with their corresponding structural features in the patient's image data. The portion of the patient's image data that is aligned with the model of the anatomical feature is then segmented from the remaining portions of the patient's image data that are not aligned with the model.
摘要翻译：提供了一种用于利用解剖特征的模型以便于在医学图像中从其背景分割解剖特征的技术。在一个实施例中，执行模型与患者图像数据中通常对应于解剖特征的区域的全局对准。然后将模型内部的结构特征与患者图像数据中的相应结构特征对齐。然后将与解剖特征的模型对准的患者图像数据的部分从患者图像数据的与模型对准的剩余部分分割。

5. 发明申请

US20080123800A1 Vasculature Partitioning Methods and Apparatus 有权
标题翻译：血管分离方法与装置
公开(公告)号：US20080123800A1
公开(公告)日：2008-05-29
申请号：US11563115
申请日：2006-11-24
申请人： Mukta Chandrashekhar Joshi , Yogisha Mallya , Srikanth Suryanarayanan , Krishna Seetharam Shriram , Ajay Gopinath
发明人： Mukta Chandrashekhar Joshi , Yogisha Mallya , Srikanth Suryanarayanan , Krishna Seetharam Shriram , Ajay Gopinath
IPC分类号： A61B6/00 , H05G1/64
CPC分类号： G06K9/342 , A61B6/508 , G06K2009/00932 , G06T7/0012 , G06T11/008 , G06T2207/30101
摘要： A method includes performing an automatic partitioning of Neuro-vessels into a plurality of anatomically relevant circulatory systems using a CT system.
摘要翻译：一种方法包括使用CT系统执行将神经血管自动分割成多个解剖学上相关的循环系统。

6. 发明授权

US08023709B2 Vasculature partitioning methods and apparatus 有权
标题翻译：血管分割方法和装置
公开(公告)号：US08023709B2
公开(公告)日：2011-09-20
申请号：US11563115
申请日：2006-11-24
申请人： Mukta Chandrashekhar Joshi , Yogisha Mallya , Srikanth Suryanarayanan , Krishna Seetharam Shriram , Ajay Gopinath
发明人： Mukta Chandrashekhar Joshi , Yogisha Mallya , Srikanth Suryanarayanan , Krishna Seetharam Shriram , Ajay Gopinath
IPC分类号： G06K9/00
CPC分类号： G06K9/342 , A61B6/508 , G06K2009/00932 , G06T7/0012 , G06T11/008 , G06T2207/30101
摘要： A method includes performing an automatic partitioning of Neuro-vessels into a plurality of anatomically relevant circulatory systems using a CT system.
摘要翻译：一种方法包括使用CT系统执行将神经血管自动分割成多个解剖学上相关的循环系统。

7. 发明申请

US20080188962A1 Vascular image extraction and labeling system and method 有权
标题翻译：血管图像提取与标记系统及方法
公开(公告)号：US20080188962A1
公开(公告)日：2008-08-07
申请号：US11702318
申请日：2007-02-05
申请人： Srikanth Suryanarayanan , Yogisha Mallya , Krishna Seetharam Shriram , Ajay Gopinath , Mukta C. Joshi
发明人： Srikanth Suryanarayanan , Yogisha Mallya , Krishna Seetharam Shriram , Ajay Gopinath , Mukta C. Joshi
IPC分类号： G05B19/42
CPC分类号： G06K9/4638 , A61B6/506 , G06K2209/05 , G06T7/11 , G06T7/162 , G06T2207/10072 , G06T2207/30101
摘要： A technique for producing a three-dimensional segmented image of blood vessels and automatically labeling the blood vessels. A scanned image of the head is obtained and an algorithm is used to segment the blood vessel image data from the image data of other tissues in the image. An algorithm is used to partition the blood vessel image data into sub-volumes that are then used to designate the root ends and the endpoints of major arteries. An algorithm is used to identify a seed-point voxel in one of the blood vessels within one of the sub-volume of the partition. Other voxels are then coded based on their geodesic distance from the seed-point voxel. An algorithm is used to identify endpoints of the arteries. This algorithm may also be used in the other sub-volumes to locate the starting points and endpoints of other blood vessels. One sub-volume is further sub-divided into left and right, anterior, medial, and posterior zones. Based on their location in one of these zones, the voxels corresponding to the endpoints of the blood vessels are labeled. Starting from these endpoints, the artery segments are tracked back to their starting points using an algorithm that simultaneously labels all of the blood vessel voxels along the path with a corresponding anatomical label identifying the blood vessel to which it belongs.
摘要翻译：一种用于产生血管的三维分割图像并自动标记血管的技术。获得头部的扫描图像，并且使用算法从图像中的其他组织的图像数据分割血管图像数据。使用算法将血管图像数据分割成子体积，然后将其用于指定主要动脉的根部和终点。使用算法来识别分区的子体积之一内的血管之一中的种子点体素。然后根据与种子体素的测距距离对其他体素进行编码。一种算法用于识别动脉端点。该算法也可以在其他子体积中用于定位其他血管的起始点和终点。一个子体积进一步细分为左，右，内侧和后区。基于它们在这些区域之一中的位置，对应于血管端点的体素被标记。从这些端点开始，使用同时标记沿着路径的所有血管体素与识别其所属的血管的相应解剖标签的算法将动脉段追溯回其起点。

8. 发明授权

US07953262B2 Vascular image extraction and labeling system and method 有权
标题翻译：血管图像提取与标记系统及方法
公开(公告)号：US07953262B2
公开(公告)日：2011-05-31
申请号：US11702318
申请日：2007-02-05
申请人： Srikanth Suryanarayanan , Yogisha Mallya , Krishna Seetharam Shriram , Ajay Gopinath , Mukta C. Joshi
发明人： Srikanth Suryanarayanan , Yogisha Mallya , Krishna Seetharam Shriram , Ajay Gopinath , Mukta C. Joshi
IPC分类号： G06K9/00
CPC分类号： G06K9/4638 , A61B6/506 , G06K2209/05 , G06T7/11 , G06T7/162 , G06T2207/10072 , G06T2207/30101
摘要： A technique for producing a three-dimensional segmented image of blood vessels and automatically labeling the blood vessels. A scanned image of the head is obtained and an algorithm is used to segment the blood vessel image data from the image data of other tissues in the image. An algorithm is used to partition the blood vessel image data into sub-volumes that are then used to designate the root ends and the endpoints of major arteries. An algorithm is used to identify a seed-point voxel in one of the blood vessels within one of the sub-volume of the partition. Other voxels are then coded based on their geodesic distance from the seed-point voxel. An algorithm is used to identify endpoints of the arteries. This algorithm may also be used in the other sub-volumes to locate the starting points and endpoints of other blood vessels. One sub-volume is further sub-divided into left and right, anterior, medial, and posterior zones. Based on their location in one of these zones, the voxels corresponding to the endpoints of the blood vessels are labeled. Starting from these endpoints, the artery segments are tracked back to their starting points using an algorithm that simultaneously labels all of the blood vessel voxels along the path with a corresponding anatomical label identifying the blood vessel to which it belongs.
摘要翻译：一种用于产生血管的三维分割图像并自动标记血管的技术。获得头部的扫描图像，并且使用算法从图像中的其他组织的图像数据分割血管图像数据。使用算法将血管图像数据分割成子体积，然后将其用于指定主要动脉的根部和终点。使用算法来识别分区的子体积之一内的血管之一中的种子点体素。然后根据与种子体素的测距距离对其他体素进行编码。一种算法用于识别动脉端点。该算法也可以在其他子体积中用于定位其他血管的起始点和终点。一个子体积进一步细分为左，右，内侧和后区。基于它们在这些区域之一中的位置，对应于血管端点的体素被标记。从这些端点开始，使用同时标记沿着路径的所有血管体素与识别其所属的血管的相应解剖标签的算法将动脉段追溯回其起点。

9. 发明授权

US07907761B2 Method for registration and navigation of volumetric scans using energy profiles 有权
标题翻译：使用能量曲线的体积扫描的注册和导航方法
公开(公告)号：US07907761B2
公开(公告)日：2011-03-15
申请号：US11738066
申请日：2007-04-20
申请人： Navneeth Subramanian , Srikanth Suryanarayanan , Rakesh Mullick
发明人： Navneeth Subramanian , Srikanth Suryanarayanan , Rakesh Mullick
IPC分类号： G06K9/00
CPC分类号： G06K9/32 , G06K2209/05
摘要： A method is provided for identifying a location of a region of interest in a volumetric image scan that includes a plurality of slices of an object and wherein each slice, in turn, includes a plurality of pixels. The method includes setting a predetermined pixel intensity threshold corresponding to a particular region of interest; identifying target pixels for each slice from the plurality of pixels that exceed the predetermined pixel intensity threshold; creating an energy profile from the target pixels for each slice; and comparing the energy profile to a predefined energy profile to determine the location of the region of interest.
摘要翻译：提供了一种用于识别包括对象的多个切片的体积图像扫描中的感兴趣区域的位置的方法，并且其中每个切片依次包括多个像素。该方法包括设置对应于特定感兴趣区域的预定像素强度阈值; 从超过所述预定像素强度阈值的所述多个像素中识别每个切片的目标像素; 从每个切片的目标像素创建能量轮廓; 以及将所述能量分布与预定义的能量分布比较以确定所述感兴趣区域的位置。

10. 发明授权

US07177453B2 Method and apparatus for partitioning a volume 有权
标题翻译：分割卷的方法和装置
公开(公告)号：US07177453B2
公开(公告)日：2007-02-13
申请号：US10304581
申请日：2002-11-26
申请人： Srikanth Suryanarayanan , Rakesh Mullick , Vidya Pundalik Kamath , Yogisha Mallya , Robert F. Senzig
发明人： Srikanth Suryanarayanan , Rakesh Mullick , Vidya Pundalik Kamath , Yogisha Mallya , Robert F. Senzig
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T2207/10116 , G06T2207/30008 , G06T2207/30101
摘要： A technique is provided for partitioning an imaged volume into two or more sub-volumes. The technique identifies partition lines which separate the sub-volumes by generating a profile, such as a bone profile, which is then analyzed to determine the placement of the partition lines. In one embodiment, placement of the partition lines is determined automatically by applying one or more sets of hierarchical rules to the profile. After separation of the imaged volume into sub-volumes, each sub-volume may be differentially segmented such that segmentation is customized for the sub-volume. Likewise, after separation of the imaged volume into sub-volumes, the acquisition parameters for each sub-volume may be customized for subsequent acquisitions.
摘要翻译：提供了一种用于将成像的体积分成两个或更多个子体积的技术。该技术通过生成轮廓（例如骨骼轮廓）来分离子体积的分割线，然后分析轮廓以确定分割线的位置。在一个实施例中，通过将一个或多个分层规则集合应用于简档来自动确定分割线的放置。在将成像的体积分离成子体积之后，每个子体积可以被差异地分段，使得针对子体积定制分割。同样，在将成像的体积分成子体积之后，可以为每个子体积的采集参数定制以用于随后的采集。

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