公开(公告)号：US07536041B2

公开(公告)日：2009-05-19

申请号：US10560185

申请日：2004-06-09

申请人： Vladimir Pekar ,  Michael Reinhold Kaus ,  Todd McNutt

发明人： Vladimir Pekar ,  Michael Reinhold Kaus ,  Todd McNutt

IPC分类号： G06K9/00 ,  G06K9/34

CPC分类号： G06T17/20 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10081 ,  G06T2207/20092 ,  G06T2207/30004

摘要： A delineation of a structure of interest can be performed by fitting 3D deformable models, for example, represented by polygonal measures, to the boundaries of the structure of interest. The deformable model fitting process is guided by minimization of the sum of an external energy, based on image feature information, which attracts the mesh to the organ boundaries and an internal energy, which preserves the consistent shape of the mesh. A frequent problem is that the images do not contain sufficient reliable image feature information, such as image gradients, to attract the mesh. According to the present invention, manually drawn attractors in the form of complete or partial contours corresponding to boundaries of the structure of interest are placed into the images which do not contain sufficient feature information. These attractors may easily be discriminated by a subsequent segmentation process. Due to this, advantageously, a 3D deformable model can be fitted to structures of interest in images with poor contrast, noise or image artifacts.

摘要翻译： 可以通过将例如由多边形度量表示的3D可变形模型拟合到感兴趣的结构的边界来执行感兴趣的结构的描绘。 可变形模型拟合过程是基于图像特征信息的最小化引导的，该图像特征信息将网格吸引到器官边界和内部能量，这保留了网格的一致形状。 一个常见的问题是，图像不包含足够可靠的图像特征信息，如图像梯度，以吸引网格。 根据本发明，将对应于感兴趣结构的边界的完整或部分轮廓形式的手动吸引器放置在不包含足够的特征信息的图像中。 这些吸引子可以容易地被随后的分割过程区分开。 因此，有利地，可以将3D可变形模型拟合到具有差的对比度，噪声或图像伪像的图像中的感兴趣的结构。

公开(公告)号：US20080279428A1

公开(公告)日：2008-11-13

申请号：US10596133

申请日：2004-12-08

申请人： Michael Reinhold Kaus ,  Daniel Bystrov ,  Vladimir Pekar

发明人： Michael Reinhold Kaus ,  Daniel Bystrov ,  Vladimir Pekar

IPC分类号： G06T7/00

CPC分类号： G06T7/32 ,  G06T2207/10081 ,  G06T2207/30004

摘要： The present invention aims at improving the point-based elastic registration paradigm. According to the present invention, a force field, for example, with Gaussian-shaped forces, is applied at several points to the image to be deformed. In this case, no landmark correspondences are required and the optimal positions of the force application point are found automatically, which minimizes the difference between the source and target image. Advantageously, this may allow to control a local influence of individual control points.

摘要翻译： 本发明旨在改进基于点的弹性登记范例。 根据本发明，例如用高斯形力作用的力场在几个点处施加到要变形的图像上。 在这种情况下，不需要地标对应，并且自动找到力施加点的最佳位置，这最小化了源图像和目标图像之间的差异。 有利地，这可以允许控制各个控制点的局部影响。