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1. 发明授权

US5960102A X-ray image processing method and device for performing that method in which a portion corresponding to an x-ray absorption filter is selectively processed 失效
标题翻译：用于执行该方法的X射线图像处理方法和装置，其中选择性地处理与x射线吸收滤光片相对应的部分
公开(公告)号：US5960102A
公开(公告)日：1999-09-28
申请号：US715255
申请日：1996-09-16
申请人： Alexander H.W. Van Eeuwijk , Steven Lobregt , Raoul Florent , Jacques Breitenstein
发明人： Alexander H.W. Van Eeuwijk , Steven Lobregt , Raoul Florent , Jacques Breitenstein
IPC分类号： A61B6/00 , G06K9/00 , G06T1/00 , G06T7/00 , G06T7/60 , G06T9/20 , H04N5/32
CPC分类号： A61B6/5252 , G06T5/008 , G06T7/0083 , G06T2207/10116 , G06T2207/20012 , G06T2207/30004 , Y10S378/901
摘要： An image processing method is provided to remove areas from an image made by x-irradiation, said areas corresponding to absorption filters in the x-ray beam. Because such filters, also known as x-ray shutters, are inserted into the x-ray beam from the outside of the x-ray beam, x-ray shutter-areas extend from the periphery of the image. Therefore, once the edge of an x-ray shutter-areas has been determined, the part of the image located between the periphery and the x-ray shutter-edge is removed. X-ray shutter-edges are determined by locating transition-points in the image having brightness-transitions having maxima of both the first and second spatial derivatives of the brightness-value. An x-ray shutter-edge is then determined by fitting a curve through the transition-points. The curve fitting is performed with the use of weight-factors that are representative of the likelihood that a transition-point is on an actual x-ray shutter-edge. This likelihood is larger for transition-points which are closer to the periphery of the image, for transition-points having low image roughness towards the periphery of the image. Furthermore, a transition-point having a large height of its brightness-transition is more likely to be on an actual x-ray shutter-edge.
摘要翻译：提供一种图像处理方法，用于从由x射线照射的图像中去除区域，所述区域对应于x射线束中的吸收滤光器。由于这种过滤器（也称为X射线快门）从X射线束的外部插入x射线束中，所以x射线快门区域从图像的周围延伸。因此，一旦确定了X射线快门区域的边缘，则去除位于周边和X射线快门边缘之间的图像的部分。通过在具有亮度值的第一和第二空间导数的最大值的亮度转变的图像中定位转换点来确定X射线快门边缘。然后通过将曲线拟合到过渡点来确定X射线快门边缘。曲线拟合使用代表转换点在实际X射线快门边缘上的可能性的权重因子来执行。对于靠近图像周围的转换点，对于图像周边具有低图像粗糙度的转变点，这种似然性较大。此外，其亮度转变的高度的过渡点更可能在实际的X射线快门边缘上。

2. 发明授权

US07162062B2 Method of processing images 失效
标题翻译：图像处理方法
公开(公告)号：US07162062B2
公开(公告)日：2007-01-09
申请号：US10028388
申请日：2001-12-21
申请人： Jacques Breitenstein , Raoul Florent
发明人： Jacques Breitenstein , Raoul Florent
IPC分类号： G06K9/46 , G06T7/60
CPC分类号： G06T7/12 , G06T7/181 , G06T7/70 , G06T2207/10121 , G06T2207/20044 , G06T2207/30101
摘要： A method of processing images in images comprising curvilinear structures comprises, in parallel, a step of filtering said images and a decision step intended to select the pixels of the images pertaining to a curvilinear structure, the method comprising, in parallel, a sub-step of estimating the direction of each image pixel, as well as a sub-step of analyzing the connectivity of neighboring pixels based on their directions at the end of the sub-step of estimating the direction of each image pixel, and a sub-step of selecting groups of pixels as a function of the result of the sub-step of analyzing the connectivity of neighboring pixels based on their directions, at the end of the step of filtering. Such a method allows selection of curvilinear structures which are fine structures such as a catheter in a medical image, or thicker structures such as a tree-like structure of blood vessels. This method may be used, for example, in medical scanning apparatus for detecting artery anomalies such as stenosis or a diffuse coronary disease.
摘要翻译：一种在包括曲线结构的图像中处理图像的方法包括并行地对所述图像进行滤波的步骤和用于选择与曲线结构有关的图像的像素的判定步骤，该方法并行地包括子步骤估计每个图像像素的方向的子步骤，以及在估计每个图像像素的方向的子步骤结束时分析相邻像素的连通性的子步骤，以及子步骤在滤波步骤结束时，根据分析相邻像素的连通性的子步骤的结果，选择像素组。这种方法允许选择作为医学图像中的导管的精细结构的曲线结构，或诸如血管的树状结构的较厚结构。该方法可以用于例如用于检测狭窄或弥漫性冠状动脉疾病等动脉异常的医疗用扫描装置。

3. 发明授权

US06571004B1 Image processing method and x-ray apparatus having image processing means for extracting a thread-like structure in a noisy digital image 失效
标题翻译：图像处理方法和具有用于在噪声数字图像中提取线状结构的图像处理装置的X射线装置
公开(公告)号：US06571004B1
公开(公告)日：2003-05-27
申请号：US09474304
申请日：1999-12-29
申请人： Raoul Florent , Jacques Breitenstein
发明人： Raoul Florent , Jacques Breitenstein
IPC分类号： G06K900
CPC分类号： G06T7/0012 , G06T7/12 , G06T7/155 , G06T2207/10121 , G06T2207/30021
摘要： An image processing method and an X-ray apparatus in which a thread-like structure represented on the background in a noisy digital original image is extracted. Original image data is acquired and reduced using a transformation operation so as to provide a reduced image. The most probable locations of guide-wire points in the reduced image are selected by selecting at each point the direction of the guide-wire which provides the best match with one of several predetermined regularly oriented directions and by probing the contrast around and in the selected directions and then probing the contrast around selected locations in the original image corresponding to the selected location of points in the reduced image. Then, the points which satisfy a contrast condition are extracted and the points which also satisfy a connectivity criterion in the reduced image are connected and these points are extracted as guide-wire points of the original image.
摘要翻译：提取在噪声数字原始图像中在背景上表示的线状结构的图像处理方法和X射线装置。使用变换操作获取和减少原始图像数据，以便提供缩小的图像。通过在每个点处选择导丝的方向来选择缩小图像中的导丝点的最可能位置，其提供与几个预定的定向方向之一最佳匹配的最佳匹配，并且通过探测周围和所选择的对比度然后探测对应于缩小图像中所选择的点的位置的原始图像中的选定位置的对比度。然后，提取满足对比度条件的点，并且连接缩小图像中也满足连通性标准的点，并将这些点作为原始图像的引导点提取。

4. 发明授权

US5617459A Method of processing images in order automatically to detect key points situated on the contour of an object and device for implementing this method 失效
标题翻译：自动处理图像的方法来检测位于物体和装置的轮廓上的关键点，以实现该方法
公开(公告)号：US5617459A
公开(公告)日：1997-04-01
申请号：US500653
申请日：1995-07-12
申请人： Sherif Makram-Ebeid , Jacques Breitenstein
发明人： Sherif Makram-Ebeid , Jacques Breitenstein
IPC分类号： A61B6/00 , G06T1/00 , G06T1/40 , G06T5/00 , G06T7/60 , G01N23/04
CPC分类号： G06T7/0083 , G06T7/0012 , G06T7/0087 , G06T2207/10116 , G06T2207/20016 , G06T2207/20084 , G06T2207/20164 , G06T2207/30048
摘要： A method of processing images in order automatically to detect key pixels (K.sub.2, K.sub.3, K.sub.4) situated on the contour of an object (LV) in an initial image (I.sub.0), and a device for implementing this method in which there is storage, in the digitized initial image (I.sub.0), of the intensity of the pixels [A.sub.0 (x,y)] and of data of regions of the object (LV), classes (C.sub.1 C.sub.m); selection of pixels of interest (PI), on the contour, inside and outside the object (LV); generation of characteristics (E.sub.1 E.sub.k) for each of the pixels of interest (PI); classification of the pixels of interest (PI) into the classes (C.sub.1 C.sub.m); and selection of the key pixels (K.sub.2, K.sub.3, K.sub.4) from corresponding classes (C.sub.2, C.sub.3, C.sub.4).
摘要翻译：一种处理图像以自动地检测位于初始图像（I0）中的对象（LV）的轮廓上的关键像素（K2，K3，K4）的方法，以及用于实现其中存储的方法的装置，在数字化初始图像（I0）中，像素[A0（x，y）]的强度和对象（LV）的区域的数据的类别（C1Cm）; 感兴趣像素（PI），轮廓，物体内部和外部（LV）的选择; 针对每个感兴趣像素（PI）的特征的产生（E1 Ek）; 感兴趣像素（PI）分类到类（C1 Cm）中; 以及从对应的类（C2，C3，C4）中选择关键像素（K2，K3，K4）。

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