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1. 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。

2. 发明申请

US20080118021A1 METHODS AND SYSTEMS FOR OPTIMIZING HIGH RESOLUTION IMAGE RECONSTRUCTION 有权
标题翻译：优化高分辨率图像重建的方法和系统
公开(公告)号：US20080118021A1
公开(公告)日：2008-05-22
申请号：US11562505
申请日：2006-11-22
申请人： Sandeep Dutta , Saad Ahmed Sirohey , Gopal B. Avinash , John V. Skinner , Patricia Le Nezet , DeAnn Marie Haas , Sardar Mal Gautham , Mukta C. Joshi
发明人： Sandeep Dutta , Saad Ahmed Sirohey , Gopal B. Avinash , John V. Skinner , Patricia Le Nezet , DeAnn Marie Haas , Sardar Mal Gautham , Mukta C. Joshi
IPC分类号： A61B6/03 , G06K9/00
CPC分类号： G06T11/006 , A61B6/032 , A61B6/583
摘要： Methods and apparatus for reconstructing a multiple resolution images of an object are provided. The method includes reconstructing a first three-dimensional image at a first resolution, determining at least one volume of interest in the generated image, and reconstructing a second three-dimensional image of the determined at least one volume of interest at a second resolution, the second resolution being higher than the first resolution such that a quantification of image structures is facilitated.
摘要翻译：提供了用于重建对象的多个分辨率图像的方法和装置。该方法包括以第一分辨率重建第一三维图像，确定生成的图像中的至少一个感兴趣的体积，以及以第二分辨率重建所确定的至少一个感兴趣体积的第二三维图像，第二分辨率高于第一分辨率，使得图像结构的量化变得容易。

3. 发明授权

US06775347B2 Methods and apparatus for reconstructing an image of an object 有权
标题翻译：用于重建物体的图像的方法和装置
公开(公告)号：US06775347B2
公开(公告)日：2004-08-10
申请号：US10158690
申请日：2002-05-29
申请人： Jiang Hsieh , Roy Arnulf Helge Nilsen , Mukta C. Joshi , Sandeep Dutta , Robert Wolfe , John A. Fusco , Ferry Tamtoro
发明人： Jiang Hsieh , Roy Arnulf Helge Nilsen , Mukta C. Joshi , Sandeep Dutta , Robert Wolfe , John A. Fusco , Ferry Tamtoro
IPC分类号： A61B603
CPC分类号： G06T11/005 , A61B6/027 , A61B6/032 , Y10S378/901
摘要： A method for reconstructing an image of an object includes generating a plurality of projection data, helically interpolating the projection data, rebinning the helically interpolated projection data from a fan-beam format to a parallel-beam format, and reconstructing an image of the object using the parallel-beam format projection data.
摘要翻译：一种用于重构对象的图像的方法包括：生成多个投影数据，螺旋式地插入投影数据，将从扇形图形格式的螺旋内插投影数据重新组合成平行光束格式，并且使用平行光束格式投影数据。

4. 发明授权

US08081809B2 Methods and systems for optimizing high resolution image reconstruction 有权
标题翻译：优化高分辨率图像重建的方法和系统
公开(公告)号：US08081809B2
公开(公告)日：2011-12-20
申请号：US11562505
申请日：2006-11-22
申请人： Sandeep Dutta , Saad Ahmed Sirohey , Gopal B. Avinash , John V. Skinner , Patricia Le Nezet , DeAnn Marie Haas , Sardar Mal Gautham , Mukta C. Joshi
发明人： Sandeep Dutta , Saad Ahmed Sirohey , Gopal B. Avinash , John V. Skinner , Patricia Le Nezet , DeAnn Marie Haas , Sardar Mal Gautham , Mukta C. Joshi
IPC分类号： G06K9/00
CPC分类号： G06T11/006 , A61B6/032 , A61B6/583
摘要： Methods and apparatus for reconstructing a multiple resolution images of an object are provided. The method includes reconstructing a first three-dimensional image at a first resolution, determining at least one volume of interest in the generated image, and reconstructing a second three-dimensional image of the determined at least one volume of interest at a second resolution, the second resolution being higher than the first resolution such that a quantification of image structures is facilitated.
摘要翻译：提供了用于重建对象的多个分辨率图像的方法和装置。该方法包括以第一分辨率重建第一三维图像，确定生成的图像中的至少一个感兴趣的体积，以及以第二分辨率重建所确定的至少一个感兴趣体积的第二三维图像，第二分辨率高于第一分辨率，使得图像结构的量化变得容易。

5. 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。

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