公开(公告)号：US20060120591A1

公开(公告)日：2006-06-08

申请号：US11067542

申请日：2005-02-24

Applicant: Pascal Cathier ,  Xiangwei Zhang ,  Jonathan Stoeckel ,  Matthias Wolf

Inventor： Pascal Cathier ,  Xiangwei Zhang ,  Jonathan Stoeckel ,  Matthias Wolf

IPC: G06K9/00 ,  G06T15/00

CPC classification number: G06T7/0012 ,  G06K9/4671 ,  G06T2207/30061 ,  Y10S128/922

Abstract: In one aspect of the present invention, a method for calculating a response value at a first voxel indicative of a global shape in an image is provided. The method includes the steps of (a) determining at least one local shape descriptor associated with each of the at least one local shape descriptor; (b) determining a spread function associated with the each of the at least one local shape descriptor; (c) determining second voxels around the first voxel; (d) calculating values for each the at least one local shape descriptor at each of the second voxels; (e) determining a contribution of each of the second voxels at the first voxel based on the spread functions; and (f) using a combination function to combine the contributions to determine the response value indicative of the global shape.

公开(公告)号：US20060104495A1

公开(公告)日：2006-05-18

申请号：US11103091

申请日：2005-04-11

Applicant: Pascal Cathier ,  Jonathan Stoeckel

Inventor： Pascal Cathier ,  Jonathan Stoeckel

IPC: G06K9/00

CPC classification number: G06T7/73 ,  G06T2207/30101

Abstract: A method of visualizing an object in an image includes presenting an image, selecting a point in an object of interest in said image, estimating a gradient of the image in a region about the selected point, calculating a structure tensor from the image gradient, analyzing said structure tensor to determine a main orientation of said object of interest, and presenting a visualization of said object of interest based on the main orientation of the object. Various techniques can be used to increase the robustness of the gradient estimation with respect to noise, and to enhance the visualization of the object-of-interest presented to a user.

Abstract translation: 可视化图像中的对象的方法包括呈现图像，在所述图像中选择感兴趣对象中的点，估计关于所选点的区域中的图像的梯度，从图像梯度计算结构张量，分析 所述结构张量来确定所述感兴趣对象的主要取向，以及基于所述对象的主要取向呈现所述感兴趣对象的可视化。 可以使用各种技术来增加关于噪声的梯度估计的鲁棒性，并且增强呈现给用户的兴趣对象的可视化。

公开(公告)号：US07529395B2

公开(公告)日：2009-05-05

申请号：US11067542

申请日：2005-02-24

Applicant: Pascal Cathier ,  Xiangwei Zhang ,  Jonathan Stoeckel ,  Matthias Wolf

Inventor： Pascal Cathier ,  Xiangwei Zhang ,  Jonathan Stoeckel ,  Matthias Wolf

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06K9/4671 ,  G06T2207/30061 ,  Y10S128/922

Abstract: In one aspect of the present invention, a method for calculating a response value at a first voxel indicative of a global shape in an image is provided. The method includes the steps of (a) determining at least one local shape descriptor associated with each of the at least one local shape descriptor; (b) determining a spread function associated with the each of the at least one local shape descriptor; (c) determining second voxels around the first voxel; (d) calculating values for each the at least one local shape descriptor at each of the second voxels; (e) determining a contribution of each of the second voxels at the first voxel based on the spread functions; and (f) using a combination function to combine the contributions to determine the response value indicative of the global shape.

Abstract translation: 在本发明的一个方面，提供了一种用于计算在图像中指示全局形状的第一体素处的响应值的方法。 该方法包括以下步骤：（a）确定与所述至少一个局部形状描述符中的每一个相关联的至少一个局部形状描述符; （b）确定与所述至少一个局部形状描述符中的每一个相关联的扩展函数; （c）确定第一体素周围的第二体素; （d）计算每个所述第二体素中的每个所述至少一个局部形状描述符的值; （e）基于扩展函数确定第一体素中的每个第二体素的贡献; 和（f）使用组合函数来组合贡献以确定指示全局形状的响应值。

公开(公告)号：US07684602B2

公开(公告)日：2010-03-23

申请号：US11103091

申请日：2005-04-11

Applicant: Pascal Cathier ,  Jonathan Stoeckel

Inventor： Pascal Cathier ,  Jonathan Stoeckel

IPC: G06K9/00

CPC classification number: G06T7/73 ,  G06T2207/30101

Abstract: A method of visualizing an object in an image includes presenting an image, selecting a point in an object of interest in said image, estimating a gradient of the image in a region about the selected point, calculating a structure tensor from the image gradient, analyzing said structure tensor to determine a main orientation of said object of interest, and presenting a visualization of said object of interest based on the main orientation of the object. Various techniques can be used to increase the robustness of the gradient estimation with respect to noise, and to enhance the visualization of the object-of-interest presented to a user.

Abstract translation: 可视化图像中的对象的方法包括呈现图像，在所述图像中选择感兴趣对象中的点，估计关于所选点的区域中的图像的梯度，从图像梯度计算结构张量，分析 所述结构张量来确定所述感兴趣对象的主要取向，以及基于所述对象的主要取向呈现所述感兴趣对象的可视化。 可以使用各种技术来增加关于噪声的梯度估计的鲁棒性，并且增强呈现给用户的兴趣对象的可视化。

公开(公告)号：US20060103678A1

公开(公告)日：2006-05-18

申请号：US11103298

申请日：2005-04-11

Applicant: Pascal Cathier ,  Jonathan Stoeckel

Inventor： Pascal Cathier ,  Jonathan Stoeckel

IPC: G09G5/00

CPC classification number: G06T19/00 ,  G06T15/20 ,  G06T2219/028 ,  G09G2340/0492

Abstract: A method of visualizing an object in an image includes presenting an image, selecting a point in an object of interest in said image, determining a main orientation of said object of interest, presenting a first visualization of said object of interest, wherein said first visualization has a first display orientation characterized by the direction of a vector normal to the first visualization plane, and selecting a new point as a center of a new visualization and presenting said new visualization, wherein said new visualization has a new display orientation characterized by the direction of a vector normal to the new visualization plane.

Abstract translation: 一种在图像中可视化对象的方法包括呈现图像，在所述图像中选择感兴趣对象中的点，确定所述感兴趣对象的主要取向，呈现所述感兴趣对象的第一可视化，其中所述第一可视化 具有第一显示方向，其特征在于垂直于第一可视平面的向量的方向，并且选择新点作为新可视化的中心并呈现所述新可视化，其中所述新可视化具有以方向为特征的新显示方向 与新的可视化平面垂直的向量。

公开(公告)号：US20120190972A1

公开(公告)日：2012-07-26

申请号：US13386925

申请日：2010-09-08

Applicant: Pascal Cathier ,  Nicolas Pierre Bruno Gogin ,  Raoul Florent

Inventor： Pascal Cathier ,  Nicolas Pierre Bruno Gogin ,  Raoul Florent

IPC: A61B6/00 ,  G06K9/62

CPC classification number: A61B6/12 ,  A61B6/466 ,  G06T7/62 ,  G06T2207/10116 ,  G06T2207/30004

Abstract: X-ray images are projective, meaning that the 3D geometry is flattened along projection lines going from the source to the detector. In particular procedures, such as mapping or ablation, the interventional instrument lies on the wall of the organ. Using a 3D segmentation of this organ registered to the x-ray, the instrument necessarily lies on the intersection of this surface with its projection line. The line and the surface typically intersect with a segmentation surface at a discrete number of points (typically 2 for shapes such as the anterior of the LA). One then has just to disambiguate between these different possible locations to determine the exact location of the instrument. In this invention, we propose to use the apparent width of the instrument measured in x-ray images to accomplish this task.

Abstract translation: X射线图像是投影的，这意味着沿着从源到检测器的投影线，3D几何图形被平坦化。 特别是在绘图或消融过程中，介入器械位于器官的壁上。 使用这个器官的3D分割记录到x射线，仪器必须位于该表面与其投影线的交点。 线和表面通常与离散数量的点的分割表面相交（对于诸如LA的前部的形状，通常为2）。 然后，您只需在这些不同的可能位置之间消除歧义，以确定仪器的确切位置。 在本发明中，我们提出使用在x射线图像中测量的仪器的表观宽度来完成该任务。

公开(公告)号：US20060018555A1

公开(公告)日：2006-01-26

申请号：US11185602

申请日：2005-07-20

Applicant: Pascal Cathier ,  Senthil Periaswamy

Inventor： Pascal Cathier ,  Senthil Periaswamy

IPC: G06K9/36

CPC classification number: G06T1/60

Abstract: A method of storing a digital image in a computer memory includes providing a N-dimensional digital image, defining an offset for each image element (x1, . . . , xN) by the formula offset ⁡ ( x 1 , … ⁢   , x N ) = ∑ i ⁢   ⁢ ∑ n = 1 N ⁢   ⁢ K x n ⁡ ( i ) ⁢ x ni , where i is summed over all bits and n is summed over all dimensions. The coefficient K for the ith bit of the nth dimension is defined as K x n ⁡ ( i ) = ( ∏ j = 1 n - 1 ⁢   ⁢ f ⁡ ( x j , 2 i + 1 , sx j ) ) ⁢ 2 i ⁢ ( ∏ j = n + 1 N ⁢   ⁢ f ⁡ ( x j , 2 i , sx j ) ) , where xj is the jth dimension, f(x,G,sxj)=min(G,sxj−└x┘G) G is a power of 2, sxj represents the size associated with a given dimension, and └x┘G=x−x mod G. Image elements are stored in the computer memory in an order defined by the offset of each image element.

公开(公告)号：US20050265601A1

公开(公告)日：2005-12-01

申请号：US11065727

申请日：2005-02-25

Applicant: Pascal Cathier ,  Luca Bogoni

Inventor： Pascal Cathier ,  Luca Bogoni

IPC: G06T5/00 ,  G06T5/30 ,  G06T7/00 ,  G06K9/34 ,  G06K9/00

CPC classification number: G06K9/342 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/155 ,  G06T2207/10081 ,  G06T2207/20152 ,  G06T2207/30032 ,  G06T2207/30064 ,  Y10S128/922

Abstract: In one exemplary embodiment of the present invention, a method of detecting a desired object at a candidate pixel from an image is provided. The method includes the steps of (a) selecting a representative point in the desired object; (b) determining first representative cross-sections of the desired object by passing first lower dimension planes through the representative point; (c) passing at least one second lower dimension plane through the candidate pixel; (d) using region segmentation to separate the candidate pixel containing second regions from the rest of the pixels in each of the at least one second lower dimension plane; (e) matching at least one of the second regions with at least one of the first cross-sections; (f) determining a match value based on the result of step (e); and (g) using the match value to determine if the desired object is detected at the candidate pixel.

Abstract translation: 在本发明的一个示例性实施例中，提供了一种从图像中检测候选像素上的期望对象的方法。 该方法包括以下步骤：（a）选择所需对象中的代表点; （b）通过使第一低维平面通过代表点来确定所需物体的第一代表性横截面; （c）使至少一个第二下维平面通过所述候选像素; （d）使用区域分割来将包含第二区域的候选像素与所述至少一个第二下维平面中的每一个中的其余像素分离; （e）使所述第二区域中的至少一个与所述第一横截面中的至少一个匹配; （f）基于步骤（e）的结果确定匹配值; 以及（g）使用匹配值来确定在候选像素处是否检测到期望的对象。

公开(公告)号：US07912294B2

公开(公告)日：2011-03-22

申请号：US11440780

申请日：2006-05-25

Applicant: Luca Bogoni ,  Jianming Liang ,  Pascal Cathier

Inventor： Luca Bogoni ,  Jianming Liang ,  Pascal Cathier

IPC: G06K9/46 ,  G06K9/00

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T7/155

Abstract: A system and method for toboggan-based object detection in cutting planes are provided. A method for detecting an object in an image includes: determining a region of interest (ROI) in the image; determining a toboggan potential for each image element in the ROI; extracting a plurality of cutting planes from the ROI; and performing a tobogganing in the cutting planes to form a toboggan cluster to determine a location of the object, wherein image elements inside the toboggan cluster are stored in a cluster-member list, image elements on an outer-border of the toboggan cluster are stored in an outer-border list and image elements on an inner-border of the toboggan cluster are stored in an inner-border list.

Abstract translation: 提供了一种用于切割平面中基于雪橇的物体检测的系统和方法。 用于检测图像中的对象的方法包括：确定图像中的感兴趣区域（ROI）; 确定ROI中每个图像元素的雪橇潜力; 从ROI提取多个切割平面; 并且在所述切割平面中执行雪橇形成以形成所述物体的位置以确定所述物体的位置，其中，所述滑降簇内的图像元素被存储在群集成员列表中，存储所述滑降簇的外部边界上的图像元素 在外部边界列表中，并且滑冰群集的内部边界上的图像元素存储在内部边界列表中。

公开(公告)号：US07457445B2

公开(公告)日：2008-11-25

申请号：US11062415

申请日：2005-02-22

Applicant: Pascal Cathier ,  Luca Bogoni

Inventor： Pascal Cathier ,  Luca Bogoni

IPC: G06K9/00

CPC classification number: G06K9/48 ,  G06T7/11 ,  G06T7/155 ,  G06T7/187 ,  G06T2207/10081 ,  G06T2207/20156 ,  G06T2207/30032 ,  G06T2207/30064

Abstract: An exemplary for selecting seeds from an image for region determination is provided. The method includes determining a boundary between two areas in the image; selecting pixels on the boundary that are characterized by a salient feature that identifies the pixels as seeds for determining a region; and determining a second region from one of the selected pixels if the one of the selected pixels is not part of a previously determined first region.

Abstract translation: 提供了用于从用于区域确定的图像中选择种子的示例。 该方法包括确定图像中两个区域之间的边界; 选择由边界特征的像素，其特征在于将像素识别为用于确定区域的种子; 以及如果所选择的像素中的一个不是先前确定的第一区域的一部分，则从所选择的像素之一确定第二区域。