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1. 发明申请

US20120190972A1 DEPTH DISAMBIGUATION OF INTERVENTIONAL INSTRUMENTS FROM A SINGLE X-RAY PROJECTION IMAGE AND ITS CALIBRATION 审中-公开
标题翻译：单次X射线投影图像的传统仪器的深度分析及其校准
公开(公告)号：US20120190972A1
公开(公告)日：2012-07-26
申请号：US13386925
申请日：2010-09-08
申请人： Pascal Cathier , Nicolas Pierre Bruno Gogin , Raoul Florent
发明人： Pascal Cathier , Nicolas Pierre Bruno Gogin , Raoul Florent
IPC分类号： A61B6/00 , G06K9/62
CPC分类号： A61B6/12 , A61B6/466 , G06T7/62 , G06T2207/10116 , G06T2207/30004
摘要： 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.
摘要翻译： 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。

2. 发明申请

US20060018555A1 System and method for cache-friendly volumetric image memory storage 有权
公开(公告)号：US20060018555A1
公开(公告)日：2006-01-26
申请号：US11185602
申请日：2005-07-20
申请人： Pascal Cathier , Senthil Periaswamy
发明人： Pascal Cathier , Senthil Periaswamy
IPC分类号： G06K9/36
CPC分类号： G06T1/60
摘要： 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.

3. 发明申请

US20050265601A1 Watershed segmentation to improve detection of spherical and ellipsoidal objects using cutting planes 有权
标题翻译：流域分割，以改善使用切割平面检测球形和椭圆体物体
公开(公告)号：US20050265601A1
公开(公告)日：2005-12-01
申请号：US11065727
申请日：2005-02-25
申请人： Pascal Cathier , Luca Bogoni
发明人： Pascal Cathier , Luca Bogoni
IPC分类号： G06T5/00 , G06T5/30 , G06T7/00 , G06K9/34 , G06K9/00
CPC分类号： G06K9/342 , G06K2209/05 , G06T7/0012 , G06T7/11 , G06T7/155 , G06T2207/10081 , G06T2207/20152 , G06T2207/30032 , G06T2207/30064 , Y10S128/922
摘要： 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.
摘要翻译：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。

4. 发明授权

US07912294B2 System and method for toboggan-based object detection in cutting planes 有权
标题翻译：在切割平面上进行雪橇型物体检测的系统和方法
公开(公告)号：US07912294B2
公开(公告)日：2011-03-22
申请号：US11440780
申请日：2006-05-25
申请人： Luca Bogoni , Jianming Liang , Pascal Cathier
发明人： Luca Bogoni , Jianming Liang , Pascal Cathier
IPC分类号： G06K9/46 , G06K9/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T7/155
摘要： 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.
摘要翻译：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。

5. 发明授权

US07457445B2 Using corner pixels as seeds for detection of convex objects 有权
标题翻译：使用角像作为种子来检测凸对象
公开(公告)号：US07457445B2
公开(公告)日：2008-11-25
申请号：US11062415
申请日：2005-02-22
申请人： Pascal Cathier , Luca Bogoni
发明人： Pascal Cathier , Luca Bogoni
IPC分类号： G06K9/00
CPC分类号： G06K9/48 , G06T7/11 , G06T7/155 , G06T7/187 , G06T2207/10081 , G06T2207/20156 , G06T2207/30032 , G06T2207/30064
摘要： 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.
摘要翻译：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。

6. 发明授权

US07333646B2 Watershed segmentation to improve detection of spherical and ellipsoidal objects using cutting planes 有权
标题翻译：流域分割，以改善使用切割平面检测球形和椭圆体物体
公开(公告)号：US07333646B2
公开(公告)日：2008-02-19
申请号：US11065727
申请日：2005-02-25
申请人： Pascal Cathier , Luca Bogoni
发明人： Pascal Cathier , Luca Bogoni
IPC分类号： G06K9/00
CPC分类号： G06K9/342 , G06K2209/05 , G06T7/0012 , G06T7/11 , G06T7/155 , G06T2207/10081 , G06T2207/20152 , G06T2207/30032 , G06T2207/30064 , Y10S128/922
摘要： 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.
摘要翻译：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。

7. 发明申请

US20060104495A1 Method and system for local visualization for tubular structures 有权
标题翻译：用于管状结构局部可视化的方法和系统
公开(公告)号：US20060104495A1
公开(公告)日：2006-05-18
申请号：US11103091
申请日：2005-04-11
申请人： Pascal Cathier , Jonathan Stoeckel
发明人： Pascal Cathier , Jonathan Stoeckel
IPC分类号： G06K9/00
CPC分类号： G06T7/73 , G06T2207/30101
摘要： 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.
摘要翻译：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。

8. 发明授权

US07598960B2 System and method for cache-friendly volumetric image memory storage 有权
公开(公告)号：US07598960B2
公开(公告)日：2009-10-06
申请号：US11185602
申请日：2005-07-20
申请人： Pascal Cathier , Senthil Periaswamy
发明人： Pascal Cathier , Senthil Periaswamy
IPC分类号： G06F12/02 , G06T15/00
CPC分类号： G06T1/60
摘要： 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.

9. 发明授权

US07355605B2 Method and system for automatic orientation of local visualization techniques for vessel structures 有权
标题翻译：用于船舶结构的局部可视化技术的自动定向的方法和系统
公开(公告)号：US07355605B2
公开(公告)日：2008-04-08
申请号：US10945022
申请日：2004-09-20
申请人： Pascal Cathier
发明人： Pascal Cathier
IPC分类号： G09G5/02
CPC分类号： G06T19/00 , A61B6/506 , G06T7/0012 , G06T7/70 , G06T2207/30101 , G06T2210/41
摘要： A method of orienting a tubular structure in a digital image is provided, wherein the image comprises a plurality of intensities corresponding to a domain of points in a D-dimensional space. The method includes selecting a point in the domain of the image, computing, in a neighborhood of the selected point, a gradient of the image, computing an elementary structure tensor at the selected point, determining a structure tensor for the selected point, and finding the eigenvalues of the structure tensors. The eigenvector corresponding to the smallest eigenvalue is aligned with the tubular structure. A cartwheel projection can be calculated about an axis defined by the eigenvector that is aligned with the tubular structure.
摘要翻译：提供了一种在数字图像中定向管状结构的方法，其中图像包括对应于D维空间中的点的域的多个强度。该方法包括选择图像域中的点，在所选点的邻域中计算图像的梯度，计算所选点处的基本结构张量，确定所选点的结构张量，以及发现结构张量的特征值。对应于最小特征值的特征向量与管状结构对齐。关于由与管状结构对准的特征向量限定的轴可以计算车轮投影。

10. 发明申请

US20060120591A1 Shape index weighted voting for detection of objects 有权
公开(公告)号：US20060120591A1
公开(公告)日：2006-06-08
申请号：US11067542
申请日：2005-02-24
申请人： Pascal Cathier , Xiangwei Zhang , Jonathan Stoeckel , Matthias Wolf
发明人： Pascal Cathier , Xiangwei Zhang , Jonathan Stoeckel , Matthias Wolf
IPC分类号： G06K9/00 , G06T15/00
CPC分类号： G06T7/0012 , G06K9/4671 , G06T2207/30061 , Y10S128/922
摘要： 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.

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