公开(公告)号：US07953266B2

公开(公告)日：2011-05-31

申请号：US11838279

申请日：2007-08-14

Applicant: Mehmet Akif Gulsun ,  Huseyin Tek

Inventor： Mehmet Akif Gulsun ,  Huseyin Tek

IPC: G06K9/001

CPC classification number: G06K9/4638 ,  G06K2009/00932 ,  G06T7/12 ,  G06T7/149 ,  G06T7/162 ,  G06T7/181 ,  G06T7/64 ,  G06T2207/10081 ,  G06T2207/20044 ,  G06T2207/20101 ,  G06T2207/20168 ,  G06T2207/30101 ,  G06T2207/30172

Abstract: A method for extracting a local center-axis representation of a vessel, includes: placing first and second seed points in an image that includes the vessel, wherein the first and second seed points are placed near a beginning and an end of a centerline of the vessel; representing the image as a discrete graph having nodes and edges, wherein the first seed point is a source node and the second seed point is a goal node; and finding a minimum-cost path between the first and second seed points by computing a cost of edges between the first and second seed points, wherein the cost of each edge is reciprocal to a vesselness measure of the edge.

Abstract translation: 一种用于提取容器的局部中心轴表示的方法，包括：将第一和第二种子点放置在包括所述容器的图像中，其中所述第一种子点和所述第二种子点靠近所述第一和第二种子点的中心线的开始和结束 船只; 将图像表示为具有节点和边缘的离散图，其中第一种子点是源节点，第二种子点是目标节点; 以及通过计算所述第一和第二种子点之间的边缘的成本来找出所述第一种子点和所述第二种子点之间的最小成本路径，其中每个边缘的成本与所述边缘的血管量度量相反。

公开(公告)号：US08781189B2

公开(公告)日：2014-07-15

申请号：US13558625

申请日：2012-07-26

Applicant: Mehmet Akif Gulsun ,  Marie-Pierre Jolly

Inventor： Mehmet Akif Gulsun ,  Marie-Pierre Jolly

IPC: G06K9/00 ,  G06K9/34 ,  G06T7/00 ,  A61B6/00

CPC classification number: G06K9/34 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/162 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/20072 ,  G06T2207/20101 ,  G06T2207/30101

Abstract: A boundary in a medical image is segmented. To increase reproducibility, a multi-level segmentation approach is used. A boundary is detected based on a seed point. The boundary is used to construct a banded graph. Local segmentation is performed using the banded graph. Based on the local segmentation, a new seed point is found. The local segmentation identifies a consistent location for the seed point. The boundary detection is performed again using the new seed point.

Abstract translation: 医疗图像中的边界被分割。 为了增加再现性，使用多级分割方法。 基于种子点检测边界。 边界用于构建带状图。 使用带状图执行局部分割。 基于局部分割，找到一个新的种子点。 局部分割识别种子点的一致位置。 使用新的种子点再次执行边界检测。

公开(公告)号：US08073227B2

公开(公告)日：2011-12-06

申请号：US12437146

申请日：2009-05-07

Applicant: Mehmet Akif Gulsun ,  Huseyin Tek

Inventor： Mehmet Akif Gulsun ,  Huseyin Tek

IPC: G06K9/00

CPC classification number: G06T7/60 ,  G06T7/13 ,  G06T2207/30172 ,  G06T2210/41

Abstract: A method for extracting a centerline of a tubular structure in a digital medical image includes providing a 3-dimensional (3D) digitized medical image having a segmented tubular structure, finding a path in the image between a starting point and every other point in the tubular structure that minimizes an accumulative cost function, wherein the minimum accumulative cost φ(x) at a point x is a minimum of (φ(x′)+Px,x′) over all nearest neighbors x′ wherein Px,x′ is a cost of propagation obtained from the inverse of a medialness measure computed in a plane orthogonal to a line between x and x′ that is centered at a mid-point of the line, the medialness measure m(x) computed in a circular region C(x, R) centered at point x on the line, with radius R, given by m ⁡ ( x ) = max R ⁢ { 1 N ⁢ ∑ i = 0 N - 1 ⁢ f ( x , R ⁢ u ⟶ ⁡ ( 2 ⁢ π ⁢ ⁢ i / N ) ) } ,  wherein {right arrow over (u)}(α)=sin(α){right arrow over (u)}1+cos(α){right arrow over (u)}2 and {right arrow over (u)}1 and {right arrow over (u)}2 define a 2D plane, and ƒ(x0,R{right arrow over (u)}(α)) is f ⁡ ( x o , R ) = max ( 1 R ⁢ ∑ x = x 0 x 0 + R ⁢ I ⁡ ( x ) - 1 M ⁢ ∑ x = x 0 + R + 1 x 0 + R + 1 + M ⁢ I ⁡ ( x ) 2 , 0 ) .  wherein M is the number of background points.

Abstract translation: 一种用于提取数字医学图像中的管状结构的中心线的方法包括提供具有分段管状结构的三维（3D）数字化医学图像，在管状结构中的起点和每隔一点之间找到图像中的路径 使得累积成本函数最小化的结构，其中点x处的最小累积成本＆amp;（x）在所有最近邻位x'上为（＆phgr（x'）+ Px，x'）的最小值，其中Px，x' 是从在垂直于以线的中点为中心的x与x'之间的线的平面中计算出的中间度量度的倒数获得的传播成本，在圆形区域中计算的内侧度量m（x） C（x，R）以线x上的点x为中心，半径为R，由m⁡（x）= max R {1NΣi = 0 N - 1 f（x，R u⟶⁡ （u）} 1 + cos（α）{右箭头（u）}（α）= sin（α） u）} 2和 ƒ（u u u u u u u u u u u u u}}}}}}}}}}}}}}}}}}}}}}}}}}}}） = max（1RΣx = x 0 x 0 + R I⁡（x）-1MΣx = x 0 + R + 1 x 0 + R + 1 + M I⁡（x） 0）。 其中M是背景点的数量。

公开(公告)号：US08675940B2

公开(公告)日：2014-03-18

申请号：US12911829

申请日：2010-10-26

Applicant: Mehmet Akif Gulsun ,  Andreas Greiser ,  Jens Guehring ,  Arne Littmann ,  Edgar Müller

Inventor： Mehmet Akif Gulsun ,  Andreas Greiser ,  Jens Guehring ,  Arne Littmann ,  Edgar Müller

IPC: G06K9/00

CPC classification number: G06T7/251 ,  G06T7/248 ,  G06T2207/10096 ,  G06T2207/30104

Abstract: A method of deriving blood flow parameters from a moving three-dimensional (3D) model of a blood vessel includes determining a reference vascular cross-sectional plane through a location of a lumen in a moving 3D model of the blood vessel at one time within the model, determining a plurality of target vascular cross-sectional planes at multiple times via temporal tracking of the reference plane based on a displacement field, determining a plurality of contours based on an intersection of the target vascular cross-sectional planes with the moving 3D vessel model at multiple times within the model, and determining a blood flow parameter of the vessel from intersections of each contour of a given one of the times with a phase contrast magnetic resonance (PC-MRI) image of the blood vessel from the corresponding time.

Abstract translation: 从血管的移动三维（3D）模型导出血液流动参数的方法包括：确定在血管的运动3D模型中的管腔位置的参考血管横截面平面 模型，基于位移场，通过基准平面的时间跟踪多次确定多个目标血管横截面，基于目标血管横截面与移动3D血管的交点确定多个轮廓 模型，并且从给定时间的每个轮廓与相应时间的血管的相位对比磁共振（PC-MRI）图像的交点确定血管的血流参数。

公开(公告)号：US20130094725A1

公开(公告)日：2013-04-18

申请号：US13558625

申请日：2012-07-26

Applicant: Mehmet Akif Gulsun ,  Marie-Pierre Jolly

Inventor： Mehmet Akif Gulsun ,  Marie-Pierre Jolly

IPC: G06K9/34

CPC classification number: G06K9/34 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/162 ,  G06T2207/10072 ,  G06T2207/10116 ,  G06T2207/20072 ,  G06T2207/20101 ,  G06T2207/30101

Abstract: A boundary in a medical image is segmented. To increase reproducibility, a multi-level segmentation approach is used. A boundary is detected based on a seed point. The boundary is used to construct a banded graph. Local segmentation is performed using the banded graph. Based on the local segmentation, a new seed point is found. The local segmentation identifies a consistent location for the seed point. The boundary detection is performed again using the new seed point.

Abstract translation: 医疗图像中的边界被分割。 为了增加再现性，使用多级分割方法。 基于种子点检测边界。 边界用于构建带状图。 使用带状图执行局部分割。 基于局部分割，找到一个新的种子点。 局部分割识别种子点的一致位置。 使用新的种子点再次执行边界检测。

公开(公告)号：US08170304B2

公开(公告)日：2012-05-01

申请号：US11953142

申请日：2007-12-10

Applicant: Huseyin Tek ,  Mehmet Akif Gulsun

Inventor： Huseyin Tek ,  Mehmet Akif Gulsun

IPC: G06K9/00

CPC classification number: G06T7/60 ,  A61B5/02014 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/155 ,  G06T7/162 ,  G06T2207/10072 ,  G06T2207/20044 ,  G06T2207/30016 ,  G06T2207/30101 ,  G06T2207/30172

Abstract: Methods and systems for modeling cerebral aneurysm and their incoming and outgoing vessels from 3D image data are disclosed. Aneurysms and vessels are segmented from their background using a graph-cuts method. Begin and end of vessels are determined. Construction of a centerline of the incoming and outgoing vessels using a measure of vesselness in calculating a minimum cost path in a graph with nodes being representation of pixels is also disclosed. Vessel surface models are constructed from sub-voxel cross-sectional segmentation. The interpolation of vessels inside an aneurysm based on smooth continuity is disclosed. Selection of endo-vascular stents based on interpolation results is also provided.

Abstract translation: 公开了用于从3D图像数据建模脑动脉瘤及其输入和输出血管的方法和系统。 动脉瘤和血管通过图形切割法从背景中分割。 确定船舶的开始和结束。 还公开了使用节点表示像素的图中计算最小成本路径时测量输入和输出血管的中心线的构造。 容器表面模型由子体素横截面分割构成。 公开了基于平滑连续性的动脉瘤内血管内插。 还提供了基于插值结果选择血管内支架。

公开(公告)号：US20080100621A1

公开(公告)日：2008-05-01

申请号：US11870546

申请日：2007-10-11

Applicant: Shmuel Aharon ,  Mehmet Akif Gulsun ,  Huseyin Tek

Inventor： Shmuel Aharon ,  Mehmet Akif Gulsun ,  Huseyin Tek

IPC: G06T17/00

CPC classification number: G06T17/20 ,  G06T7/12 ,  G06T7/162 ,  G06T7/60 ,  G06T2207/10072 ,  G06T2207/20044 ,  G06T2207/30101

Abstract: A method of coronary vessel segmentation and visualization includes providing a digitized coronary image, placing a plurality of seed points along an estimated centerline of a coronary vessel, selecting a seed point and constructing a cyclic graph around the seed point in a plane perpendicular to the centerline at the seed point, performing a multi-scale-mean shift filtering in the perpendicular plane to estimate image gradient values, detecting a vessel boundary using a minimum-mean-cycle optimization that minimizes a ratio of a cost of a cycle to a length of a cycle, constructing a sub-voxel accurate vessel boundary about a point on the centerline, and refining the location of the centerline point from the sub-voxel accurate boundary, where the steps of constructing a sub-voxel accurate vessel boundary and refining the centerline point location are repeated until convergence.

Abstract translation: 冠状动脉血管分割和可视化的方法包括提供数字化冠状动脉图像，沿着冠状血管的估计中心线放置多个种子点，在垂直于中心线的平面中选择种子点和围绕种子点构建循环图 在种子点处，在垂直平面上执行多尺度均值偏移滤波以估计图像梯度值，使用最小平均周期优化来检测血管边界，所述最小平均周期优化使周期成本与长度的比率最小化 循环，围绕中心线上的点构建子体素准确的血管边界，并且从子体素精确边界改进中心线点的位置，其中构建子体素准确的血管边界并提炼中心线 点位置重复直到收敛。

公开(公告)号：US20110103665A1

公开(公告)日：2011-05-05

申请号：US12911829

申请日：2010-10-26

Applicant: Mehmet Akif Gulsun ,  Andreas Greiser ,  Jens Guehring ,  Arne Littmann ,  Edgar Müller

Inventor： Mehmet Akif Gulsun ,  Andreas Greiser ,  Jens Guehring ,  Arne Littmann ,  Edgar Müller

IPC: G06K9/00

CPC classification number: G06T7/251 ,  G06T7/248 ,  G06T2207/10096 ,  G06T2207/30104

Abstract: A method of deriving blood flow parameters from a moving three-dimensional (3D) model of a blood vessel includes determining a reference vascular cross-sectional plane through a location of a lumen in a moving 3D model of the blood vessel at one time within the model, determining a plurality of target vascular cross-sectional planes at multiple times via temporal tracking of the reference plane based on a displacement field, determining a plurality of contours based on an intersection of the target vascular cross-sectional planes with the moving 3D vessel model at multiple times within the model, and determining a blood flow parameter of the vessel from intersections of each contour of a given one of the times with a phase contrast magnetic resonance (PC-MRI) image of the blood vessel from the corresponding time.

Abstract translation: 从血管的移动三维（3D）模型导出血液流动参数的方法包括：确定在血管的运动3D模型中的管腔位置的参考血管横截面平面 模型，基于位移场，通过基准平面的时间跟踪多次确定多个目标血管横截面，基于目标血管横截面与移动3D血管的交点确定多个轮廓 模型，并且从给定时间的每个轮廓与相应时间的血管的相位对比磁共振（PC-MRI）图像的交点确定血管的血流参数。

公开(公告)号：US07860290B2

公开(公告)日：2010-12-28

申请号：US11684694

申请日：2007-03-12

Applicant: Mehmet Akif Gulsun ,  Huseyin Tek

Inventor： Mehmet Akif Gulsun ,  Huseyin Tek

IPC: G06K9/00

CPC classification number: G06K9/342 ,  G06K2009/00932 ,  G06K2209/05

Abstract: A method for producing three-dimensional images of a blood vessel. A first set of seed points is placed along a first estimate of a centerline of the vessel. A cyclic graph is constructed around a first one of the seed points in a plane passing through the seed points. The graph comprises a plurality of nodes, with edges connecting the nodes. The nodes are disposed at equally spaced intervals about each one of a circumference of plurality of concentric circles centered at the seed point The method applies filtering such as multi-scale mean shift intensity detection orthogonal to the edges of the cyclic graph to thereby estimate a boundary of the vessel. A new center of the estimated boundary is determined to thereby generate a new seed point. The process is repeated using the new seed point to thereby generate a final boundary of the vessel in the plane.

Abstract translation: 一种用于产生血管的三维图像的方法。 第一组种子点沿船舶中心线的第一估计放置。 在通过种子点的平面中的第一个种子点周围构建循环图。 该图包括多个节点，边缘连接节点。 这些节点围绕以种子点为中心的多个同心圆的圆周中的每一个周围以等间隔的间隔布置。该方法应用诸如与循环图的边缘正交的多尺度平均移位强度检测的滤波，从而估计边界 的船只。 确定估计边界的新中心，从而生成新的种子点。 使用新的种子点重复该过程，从而在平面中产生血管的最终边界。

公开(公告)号：US20100254584A1

公开(公告)日：2010-10-07

申请号：US12751086

申请日：2010-03-31

Applicant: Mehmet Akif Gulsun ,  Ralph Strecker ,  Glenn A. Meredith ,  Ihab R. Kamel

Inventor： Mehmet Akif Gulsun ,  Ralph Strecker ,  Glenn A. Meredith ,  Ihab R. Kamel

IPC: G06K9/00

CPC classification number: A61B5/055 ,  G01R33/5601 ,  G01R33/5608 ,  G01R33/56341 ,  G01R33/56366 ,  G06T7/0014 ,  G06T7/162 ,  G06T2207/10076 ,  G06T2207/20104 ,  G06T2207/30096

Abstract: A method for assessing a tumor's response to therapy, includes providing images of a first study of a patient and images of a second study of the patient, the second study occurring after the first study and after the patient undergoes therapy to treat a tumor, each study comprising first and second types of functional magnetic resonance (fMR) images, performing a first registration in which the images within each study are registered, performing a second registration in which reference images from both studies are co-registered, segmenting the tumor in an image of each of the second registered studies; and determining that first and second fMR measure differences exist between the segmented tumor's of the first and second studies, the first fMR measure difference being obtained from the first type of fMR images, the second fMR measure difference being obtained from the second type of fMR images.

Abstract translation: 用于评估肿瘤对治疗的反应的方法包括提供患者的第一次研究的图像和患者的第二次研究的图像，第二次研究发生在第一次研究之后，以及在患者进行治疗以治疗肿瘤之后 研究包括第一和第二类型的功能磁共振（fMR）图像，执行其中登记每个研究中的图像的第一登记，执行第二登记，其中来自两个研究的参考图像共同登记，将肿瘤分成 每个第二次注册研究的形象; 并且确定在第一和第二研究的分段肿瘤之间存在第一和第二fMR测量差异，从第一类型的fMR图像获得的第一fMR测量差异，从第二类型fMR图像获得的第二fMR测量差异 。