公开(公告)号：US07630530B2

公开(公告)日：2009-12-08

申请号：US11327956

申请日：2006-01-09

申请人： Tim McGraw ,  Zhizhou Wang

发明人： Tim McGraw ,  Zhizhou Wang

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T7/194 ,  G06T2207/10088 ,  G06T2207/20161 ,  G06T2207/30016

摘要： Segmenting a digitized image includes providing a diffusion tensor field image, partitioning the image into 2 regions, each point being assigned to one of the regions, associating a level-set function with each region, the level-set function having a negative value in one region and a positive value in the other region, calculating a mean value of the diffusion tensor field over each of 2 regions, initializing an energy defined as a functional of level-set functions and diffusion tensor field, changing the region membership of each point in the image if the energy functional value decreases as a result of region membership change and updating said mean value of said diffusion tensor field over each of 2 regions, and obtaining a segmentation of the image when the magnitude of the change of the energy function value resulting from changing the region membership of a point is less then a predetermined threshold.

摘要翻译： 分割数字化图像包括提供扩散张量场图像，将图像划分为2个区域，每个点被分配给该区域之一，将电平集函数与每个区域相关联，电平集函数在一个区域中具有负值 区域，并且在另一区域中为正值，计算两个区域中的每一个上的扩散张量场的平均值，初始化定义为水平集函数和扩散张量场的函数的能量，改变每个点的区域隶属度 如果能量函数值作为区域隶属度变化的结果而减小的图像，并且在2个区域中的每一个上更新所述扩散张量场的所述平均值，并且当所产生的能量函数值的变化的幅度获得时，获得图像的分割 从改变点的区域成员资格小于预定阈值。

公开(公告)号：US07627155B2

公开(公告)日：2009-12-01

申请号：US11489103

申请日：2006-07-19

申请人： Weihong Guo ,  Zhizhou Wang

发明人： Weihong Guo ,  Zhizhou Wang

IPC分类号： G06K9/00 ,  G01V3/00

CPC分类号： G06T7/149 ,  G06T7/12 ,  G06T2207/10092 ,  G06T2207/30016

摘要： Segmentation of White Matter Fiber Tract in DT-MRI images is achieved by using level sets methods including a method which will increase the speed and quality of the surface evolvement. A method system representing a measure of coincidence of the tensor field with the normal of the surface front to increase the speed and quality of a level set method in DT-MRI is disclosed.

摘要翻译： DT-MRI图像中白质纤维束的分割是通过使用水平集方法实现的，包括将增加表面发育速度和质量的方法。 公开了一种方法系统，其表示张量场与表面前沿的一致性的测量，以提高DT-MRI中的电平集方法的速度和质量。

公开(公告)号：US20060158447A1

公开(公告)日：2006-07-20

申请号：US11327956

申请日：2006-01-09

申请人： Tim McGraw ,  Zhizhou Wang

发明人： Tim McGraw ,  Zhizhou Wang

IPC分类号： G06T15/00

CPC分类号： G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T7/194 ,  G06T2207/10088 ,  G06T2207/20161 ,  G06T2207/30016

摘要： Segmenting a digitized image includes providing a diffusion tensor field image, partitioning the image into 2 regions, each point being assigned to one of the regions, associating a level-set function with each region, the level-set function having a negative value in one region and a positive value in the other region, calculating a mean value of the diffusion tensor field over each of 2 regions, initializing an energy defined as a functional of level-set functions and diffusion tensor field, changing the region membership of each point in the image if the energy functional value decreases as a result of region membership change and updating said mean value of said diffusion tensor field over each of 2 regions, and obtaining a segmentation of the image when the magnitude of the change of the energy function value resulting from changing the region membership of a point is less then a predetermined threshold.