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1.发明公开METHOD OF REFERENCE CONTOUR PROPAGATION AND OPTIMIZATION 审中-公开VERFAHREN ZURREFERENZUMRISSÜBERTRAGUNGUND-OPTIMERUNG
公开(公告)号：EP1932113A1
公开(公告)日：2008-06-18
申请号：EP06809420.0
申请日：2006-09-27
CPC分类号： G06T7/251 , G06T7/12 , G06T2207/10072 , G06T2207/30048
摘要： The invention relates to a detection method (300) of detecting a boundary in a second image data from an image dataset on the basis of a reference contour in a first image data from the image dataset, the detection method (300) comprising a generating step (320) for generating a reference profile using the first image data on the basis of a qualifying characteristic, the reference profile comprising a reference profile node defined on the basis of the reference contour, a selecting step (330) for selecting a target profile using the second image data on the basis of the reference profile, and a mapping step (335) for mapping the reference profile node into the second image data on the basis of the target profile, thereby detecting the second boundary. A reference profile generated on the basis of a qualifying characteristic is more accurate in detecting the boundary in the second image than an arbitrarily generated reference profile. Hence, the detection method (300) of the current invention is more accurate in detecting a boundary in a second image data from an image dataset on the basis of a reference contour in a first image data from the image dataset.
摘要翻译： 本发明涉及一种检测方法（300），该检测方法（300）根据来自图像数据集的第一图像数据中的参考轮廓从图像数据集检测第二图像数据中的边界，检测方法（300）包括生成步骤 （320），用于基于限定特性使用所述第一图像数据生成参考轮廓，所述参考轮廓包括基于所述参考轮廓定义的参考轮廓节点;选择步骤（330），用于使用 基于参考简档的第二图像数据，以及用于基于目标轮廓将参考轮廓节点映射到第二图像数据中的映射步骤（335），从而检测第二边界。 基于限定特性生成的参考曲线在检测第二图像中的边界方面比任意生成的参考轮廓更准确。 因此，根据来自图像数据集的第一图像数据中的参考轮廓，本发明的检测方法（300）更精确地检测来自图像数据集的第二图像数据中的边界。
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2.发明公开
公开(公告)号：EP1421556A2
公开(公告)日：2004-05-26
申请号：EP02737625.0
申请日：2002-01-10
IPC分类号： G06T7/00
CPC分类号： G06T7/62 , G06T7/38 , G06T2207/30048
摘要： An automatic quantitative analysis method is developed so as to analyze perfusion cardiovascular images. First the image registration per data set is performed so as to compensate for translation and rotation of the target region of interest over the acquisition time. Next a parameter, for example, a maximum intensity projection, is calculated in order to average out misalignments of the target region of interest within each data set. Finally, parameter registration is performed to calculate the co-ordinate translation matrix between the anatomically corresponding pixels within the target region of interest. The co-ordinate translation matrix can also be used to calculate local perfusion values.
摘要翻译： 自动定量分析方法开发，从而分析心血管灌注图像。 经由第一数据组中的图像配准进行，以补偿随采集时间感兴趣的靶区域的平移和旋转。 接下来的参数，例如，最大强度投影，是为了平均出的每个数据集内的感兴趣目标区域的错位计算。 最后，参数登记被执行以计算感兴趣的目标区域内的解剖学上的对应像素之间的坐标转换矩阵。 因此，该坐标转换矩阵可以被用于计算局部灌注值。
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公开(公告)号：EP1360649A2
公开(公告)日：2003-11-12
申请号：EP02737627.6
申请日：2002-01-11
发明人： BREEUWER, Marcel
IPC分类号： G06T7/00
CPC分类号： G06T7/35 , G06T2207/30048
摘要： A method is developed for automatic analysis of the reliability of an automatic registration of perfusion cardiovascular MR images. A parameter, for example, a similarity measure between the successive images, is calculated first in order to quantify the success of the registration process between these images for the data set. A criterion is then introduced, for example a threshold is imposed on the similarity measure. The successively registered images that have a calculated similarity measure that exceeds the defined threshold are automatically accepted for further analysis.
摘要翻译： 开发了一种自动分析灌注心血管MR图像自动对位的可靠性的方法。 首先计算参数，例如连续图像之间的相似性度量，以量化数据集的这些图像之间的注册过程的成功。 然后引入一个标准，例如对相似性度量施加阈值。 具有计算出的相似性度量超过定义的阈值的连续登记的图像被自动接受进一步分析。
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4.发明授权
公开(公告)号：EP0791273B1
公开(公告)日：2000-06-07
申请号：EP96927162.6
申请日：1996-09-02
IPC分类号： H04N7/26
CPC分类号： H04N19/126 , H04N19/124 , H04N19/20 , H04N19/30 , H04N19/60
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公开(公告)号：EP0758513B1
公开(公告)日：1999-08-25
申请号：EP96901475.2
申请日：1996-02-15
IPC分类号： H04N7/30
CPC分类号： H04N19/18 , H04N19/115 , H04N19/126 , H04N19/146 , H04N19/149 , H04N19/172 , H04N19/176 , H04N19/60
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公开(公告)号：EP1542589B1
公开(公告)日：2013-04-24
申请号：EP03748379.9
申请日：2003-09-17
IPC分类号： A61B6/00
CPC分类号： G06T5/50 , G06T2207/10088 , G06T2207/10132 , G06T2207/30104
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公开(公告)号：EP2203894B1
公开(公告)日：2011-03-02
申请号：EP08807466.1
申请日：2008-08-28
IPC分类号： G06T15/00
CPC分类号： G06T15/08
摘要： The invention relates to visualization of medical images, and in embodiments to the visualization of the left ventricle of the human heart or other organs. A method of visualizing one or more sets of voxel data is disclosed. The method comprising: providing one or more sets of voxel data, providing and segmenting the voxel data in accordance with a segment model. The segmented voxel data is reformatted to fit a reference shape (20) being defined by at least an inner (22) reference surface and an outer (23) reference surface. The reformatted voxel data is mapped to a target shape being defined by at least a first (29) target surface and a second (200) target surface. The target shape is moreover visualized. The mapping of the reformatted voxel data to a target shape is a mapping of one or more property values from the inner reference surface to the first target surface, and from the outer reference surface to the second target surface, and where a direction (26, 27) extending along the inter- surface distance of the reference shape is maintained in the target shape.
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公开(公告)号：EP2008239A2
公开(公告)日：2008-12-31
申请号：EP07735137.7
申请日：2007-03-16
IPC分类号： G06T3/00
CPC分类号： G06T3/4007 , G06T5/50
摘要： The invention relates to a method of combining magnetic resonance (MR) images to form a combined image, to a device for implementing such a method, and to a computer program comprising instructions for performing such a method when the computer program is run on a computer. Large transitions in pixel values in such combined images could make visual interpretation of the combined image difficult. A method of combining MR images to form a combined image that is easier to interpret visually is therefore desirable. Accordingly, a method of forming a combined image is disclosed, wherein pixel intensity values of at least one of the images is modified based on an interpolation operation, and the two MR images are suitably merged to form a combined image.
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9.发明公开HIGH QUALITY ACCURATE SURFACE TRIANGULATION FROM A SIMPLEX MESH 审中-公开一个网络单纯高品质精密OBERFLÄCHENTRIANGULATION
公开(公告)号：EP1828991A1
公开(公告)日：2007-09-05
申请号：EP05825447.5
申请日：2005-12-14
IPC分类号： G06T17/20
CPC分类号： G06T17/20
摘要： A method is disclosed for improving the accuracy of a surface mesh describing a segmented 3D object in a 3D image. A dual triangulation surface mesh is provided for a simplex surface mesh of the 3D object. Errors are reduced in the representation of the 3D object caused by the dual triangulation surface mesh by shifting triangulation nodes of the dual triangulation surface mesh of the segmented 3D object for providing a more accurate triangulation surface mesh. The 3D image is preferably a medical 3D image. Furthermore, a medical workstation, comprised in medical imaging system is disclosed for implementing the above improvement.
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10.发明公开A METHOD OF GEOMETRICAL DISTORTION CORRECTION IN 3D IMAGES 审中-公开VERFAHREN ZUR KORREKTUR几何测量仪VERZERRUNGEN BEI 3D-BILDERN
公开(公告)号：EP1820157A1
公开(公告)日：2007-08-22
申请号：EP05807156.4
申请日：2005-11-16
发明人： BREEUWER, Marcel
CPC分类号： G06T5/006 , G06T7/33 , G06T2207/10088 , G06T2207/20012 , G06T2207/20021 , G06T2207/30004
摘要： A method of correcting local distortions in 3D images, particularly medical 3D images, caused by a scanning system used for acquisition of the 3D images, is disclosed. According to an embodiment, a 3D phantom containing reference structures that are positioned at known reference positions is scanned. Then the resulting positions of the phantom reference structures in the 3D image are detected and the 3D image is subdivided into 3D sub- volumes, called patches. Subsequently the detected positions of the reference structures are compared to the known reference positions for each patch, and for each patch having distortions existing between known reference and detected positions, the distortion is described with a local 3D transformation according to the invention. Finally, medical images that are subsequently scanned are corrected with the local 3D transformations.
摘要翻译： 公开了一种用于校正由用于获取3D图像的扫描系统引起的3D图像中的局部失真，特别是医学3D图像的方法。 根据实施例，扫描位于已知参考位置的包含3D体模的参考结构。 然后检测3D图像中幻影参考结构的结果位置，并将3D图像细分为三维子卷，称为补丁。 随后将参考结构的检测位置与每个贴片的已知参考位置进行比较，并且对于具有存在于已知参考和检测位置之间的变形的每个贴片，根据本发明用局部3D变换来描述失真。 最后，随后扫描的医学图像用局部3D变换进行校正。
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