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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。
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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。
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公开(公告)号:US08014578B2
公开(公告)日:2011-09-06
申请号:US11702370
申请日:2007-02-05
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。
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公开(公告)号:US20080188734A1
公开(公告)日:2008-08-07
申请号:US11702370
申请日:2007-02-05
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。
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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
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。
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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。
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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。
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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。
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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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公开(公告)号:US20050113679A1
公开(公告)日:2005-05-26
申请号:US10723192
申请日:2003-11-25
申请人: Srikanth Suryanarayanan , Rakesh Mullick , Yogisha Mallya , Vidya Pundalik Kamath , Nithin Nagaraj
发明人: Srikanth Suryanarayanan , Rakesh Mullick , Yogisha Mallya , Vidya Pundalik Kamath , Nithin Nagaraj
CPC分类号: G06K9/346 , A61B6/032 , A61B6/4085 , A61B6/481 , A61B6/504 , G06K2009/00932 , G06K2209/05 , G06T5/50 , G06T7/0012 , G06T7/11 , G06T7/12 , G06T7/174 , G06T7/187 , G06T2207/10081 , G06T2207/20012 , G06T2207/20156 , G06T2207/20224 , G06T2207/30008 , G06T2207/30101
摘要: A technique is provided for automatically generating a bone mask in CTA angiography. In accordance with the technique, an image data set may be pre-processed to accomplish a variety of function, such as removal of image data associated with the table, partitioning the volume into regionally consistent sub-volumes, computing structures edges based on gradients, and/or calculating seed points for subsequent region growing. The pre-processed data may then be automatically segmented for bone and vascular structure. The automatic vascular segmentation may be accomplished using constrained region growing in which the constraints are dynamically updated based upon local statistics of the image data. The vascular structure may be subtracted from the bone structure to generate a bone mask. The bone mask may in turn be subtracted from the image data set to generate a bone-free CTA volume for reconstruction of volume renderings.
摘要翻译: 提供了一种在CTA血管造影术中自动生成骨膜的技术。 根据该技术,可以对图像数据集进行预处理以完成各种功能,例如移除与该表相关联的图像数据,将该卷分割成区域一致的子体积,基于梯度计算结构边缘, 和/或计算用于随后区域生长的种子点。 然后可以将预处理的数据自动分割用于骨骼和血管结构。 可以使用受限区域增长来实现自动血管分割,其中基于图像数据的局部统计动态地更新约束。 可以从骨结构中减去血管结构以产生骨掩模。 可以从图像数据集中减去骨掩模以产生用于重建体积渲染的无骨CTA体积。
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