System and method for fast tensor field segmentation
    1.
    发明授权
    System and method for fast tensor field segmentation 失效
    快速张量场分割的系统和方法

    公开(公告)号:US07630530B2

    公开(公告)日:2009-12-08

    申请号:US11327956

    申请日:2006-01-09

    IPC分类号: G06K9/00

    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。

    System and method for fast tensor field segmentation

    公开(公告)号:US20060158447A1

    公开(公告)日:2006-07-20

    申请号:US11327956

    申请日:2006-01-09

    IPC分类号: G06T15/00

    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.

    System and method for stochastic DT-MRI connectivity mapping on the GPU
    4.
    发明授权
    System and method for stochastic DT-MRI connectivity mapping on the GPU 失效
    GPU上随机DT-MRI连通性映射的系统和方法

    公开(公告)号:US07672790B2

    公开(公告)日:2010-03-02

    申请号:US11843102

    申请日:2007-08-22

    IPC分类号: G01N24/00 G01V3/14

    CPC分类号: G01R33/56341 G01R33/5608

    摘要: A graphics processing unit implemented method for fiber tract mapping from diffusion tensor magnetic resonance imaging data includes providing a diffusion tensor magnetic resonance brain image volume, initializing a set of fiber positions in a 3D set of points, fiber displacements, and a posterior distribution for an updated fiber displacement in terms of the initial displacements and diffusion tensors, randomly sampling a set of updated fiber displacements from said posterior distribution, computing a new set of fiber positions from said initial fiber positions and said updated fiber displacements, wherein a fiber path comprises a set of fiber points connected by successive fiber displacements, accumulating connectivity values in each point of said 3D set of points by additive alpha-blending a scaled value if a fiber path has passed through a point and adding zero if not, and rendering said connectivity values.

    摘要翻译: 用于从扩散张量磁共振成像数据进行纤维束映射的图形处理单元实现方法包括提供扩散张量磁共振脑图像体积,初始化3D集合中的一组光纤位置,光纤位移和后验分布 在初始位移和扩散张量方面更新的光纤位移,从所述后验分布随机采样一组更新的光纤位移,从所述初始光纤位置和所述更新的光纤位移计算新的光纤位置集合,其中光纤路径包括 通过连续的光纤位移连接的一组光纤点,如果光纤路径已经通过一个点并且如果不是,则加上零,则通过加法阿尔法混合所述3D集合点的每个点中的连接值来累加连接值,并且使所述连接值 。

    Diffusion tensor surface visualization
    5.
    发明申请
    Diffusion tensor surface visualization 有权
    扩散张量表面可视化

    公开(公告)号:US20060176488A1

    公开(公告)日:2006-08-10

    申请号:US11347039

    申请日:2006-02-03

    申请人: Tim McGraw

    发明人: Tim McGraw

    IPC分类号: G01N21/47

    摘要: A computer implemented method for diffusion tensor visualization includes receiving diffusion weighted image slice data, segmenting a diffusion tensor field from the diffusion weighted image slice data to determine a three-dimensional triangular mesh, and determining a fractional anisotropy field and a principle diffusion direction field of the diffusion tensor field. The method includes determining a streamline through each surface point on a segmented surface of the diffusion tensor field according to the principle diffusion direction field, determining an oriented texture intensity for the surface points from corresponding streamlines, determining a surface color for the surface points by combining the oriented texture intensity, a color determined from the principle diffusion direction field, and a value of fractional anisotropy field at the surface points, and visualizing the surface points by rendering the surface points having the corresponding surface colors.

    摘要翻译: 用于扩散张量可视化的计算机实现方法包括接收扩散加权图像切片数据,从扩散加权图像切片数据分割扩散张量场以确定三维三角形网格,并且确定分数各向异性场和原子扩散方向场 扩散张量场。 该方法包括根据原理扩散方向场确定扩散张量场的分段表面上的每个表面点的流线,确定来自对应流线的表面点的取向纹理强度,通过组合确定表面点的表面颜色 定向纹理强度,从原理扩散方向场确定的颜色,以及表面点处的分数各向异性场的值,以及通过渲染具有相应表面颜色的表面点来可视化表面点。

    Diffusion tensor surface visualization
    6.
    发明授权
    Diffusion tensor surface visualization 有权
    扩散张量表面可视化

    公开(公告)号:US08077938B2

    公开(公告)日:2011-12-13

    申请号:US11347039

    申请日:2006-02-03

    申请人: Tim McGraw

    发明人: Tim McGraw

    IPC分类号: G06K9/00

    摘要: A computer implemented method for diffusion tensor visualization includes receiving diffusion weighted image slice data, segmenting a diffusion tensor field from the diffusion weighted image slice data to determine a three-dimensional triangular mesh, and determining a fractional anisotropy field and a principle diffusion direction field of the diffusion tensor field. The method includes determining a streamline through each surface point on a segmented surface of the diffusion tensor field according to the principle diffusion direction field, determining an oriented texture intensity for the surface points from corresponding streamlines, determining a surface color for the surface points by combining the oriented texture intensity, a color determined from the principle diffusion direction field, and a value of fractional anisotropy field at the surface points, and visualizing the surface points by rendering the surface points having the corresponding surface colors.

    摘要翻译: 用于扩散张量可视化的计算机实现方法包括接收扩散加权图像切片数据,从扩散加权图像切片数据分割扩散张量场以确定三维三角形网格,并且确定分数各向异性场和原子扩散方向场 扩散张量场。 该方法包括根据原理扩散方向场确定扩散张量场的分段表面上的每个表面点的流线,确定来自对应流线的表面点的取向纹理强度,通过组合确定表面点的表面颜色 定向纹理强度,从原理扩散方向场确定的颜色,以及表面点处的分数各向异性场的值,以及通过渲染具有相应表面颜色的表面点来可视化表面点。

    System and method for fast texture-based tensor field visualization for DT-MRI
    7.
    发明授权
    System and method for fast texture-based tensor field visualization for DT-MRI 失效
    用于DT-MRI快速基于纹理的张量场可视化的系统和方法

    公开(公告)号:US07602180B2

    公开(公告)日:2009-10-13

    申请号:US11872904

    申请日:2007-10-16

    申请人: Tim McGraw

    发明人: Tim McGraw

    IPC分类号: G01V3/00

    摘要: A method for visualizing diffusion-tensor magnetic resonance images, including the steps of providing a diffusion-tensor magnetic resonance image (DT-MRI) volume, positioning and orienting a virtual camera for rendering the volume, the camera having an image plane, the camera's orientation being defined by its look, right and up vectors, associating a billboard with each voxel, each the billboard being parallel with the image plane of the camera, where the look, right and up vectors are used to orient each the billboard, applying a texture to each billboard, each the texture being transformed by the inverse of the diffusion tensor associated with the voxel to which the billboard is associated, and rendering the volume by rendering each visible billboard in the image volume, where a 2-dimensional (2D) visualization of the DT-MRI is produced.

    摘要翻译: 一种用于可视化扩散张量磁共振图像的方法,包括以下步骤:提供扩散张量磁共振图像(DT-MRI)体积,定位和定向用于渲染体积的虚拟相机,具有图像平面的相机,相机的 定向由其外观,右上和向上定义,将广告牌与每个体素相关联,每个广告牌与相机的图像平面平行,其中使用外观,右和向上矢量来定向每个广告牌,应用 每个广告牌的纹理,每个纹理由与广告牌相关联的体素相关联的扩散张量的倒数进行变换,并且通过在图像体积中渲染每个可见广告牌来呈现体积,其中二维(2D) 产生了DT-MRI的可视化。

    SYSTEM AND METHOD FOR FAST TEXTURE-BASED TENSOR FIELD VISUALIZATION FOR DT-MRI
    8.
    发明申请
    SYSTEM AND METHOD FOR FAST TEXTURE-BASED TENSOR FIELD VISUALIZATION FOR DT-MRI 失效
    用于基于快速纹理的传感器的系统和方法用于DT-MRI的现场可视化

    公开(公告)号:US20080174311A1

    公开(公告)日:2008-07-24

    申请号:US11872904

    申请日:2007-10-16

    申请人: Tim McGraw

    发明人: Tim McGraw

    IPC分类号: G01R33/483

    摘要: A method for visualizing diffusion-tensor magnetic resonance images, including the steps of providing a diffusion-tensor magnetic resonance image (DT-MRI) volume, positioning and orienting a virtual camera for rendering the volume, the camera having an image plane, the camera's orientation being defined by its look, right and up vectors, associating a billboard with each voxel, each the billboard being parallel with the image plane of the camera, where the look, right and up vectors are used to orient each the billboard, applying a texture to each billboard, each the texture being transformed by the inverse of the diffusion tensor associated with the voxel to which the billboard is associated, and rendering the volume by rendering each visible billboard in the image volume, where a 2-dimensional (2D) visualization of the DT-MRI is produced.

    摘要翻译: 一种用于可视化扩散张量磁共振图像的方法,包括以下步骤:提供扩散张量磁共振图像(DT-MRI)体积,定位和定向用于渲染体积的虚拟相机,具有图像平面的相机,相机的 定向由其外观,右上和向上定义,将广告牌与每个体素相关联,每个广告牌与相机的图像平面平行,其中使用外观,右和向上矢量来定向每个广告牌,应用 每个广告牌的纹理,每个纹理由与广告牌相关联的体素相关联的扩散张量的倒数进行变换,并且通过在图像体积中渲染每个可见广告牌来呈现体积,其中二维(2D) 产生了DT-MRI的可视化。

    SYSTEM AND METHOD FOR STOCHASTIC DT-MRI CONNECTIVITY MAPPING ON THE GPU
    9.
    发明申请
    SYSTEM AND METHOD FOR STOCHASTIC DT-MRI CONNECTIVITY MAPPING ON THE GPU 失效
    用于在GPU上进行DT-MRI连接映射的系统和方法

    公开(公告)号:US20080109171A1

    公开(公告)日:2008-05-08

    申请号:US11843102

    申请日:2007-08-22

    IPC分类号: G01N33/48 G01N24/08

    CPC分类号: G01R33/56341 G01R33/5608

    摘要: A graphics processing unit implemented method for fiber tract mapping from diffusion tensor magnetic resonance imaging data includes providing a diffusion tensor magnetic resonance brain image volume, initializing a set of fiber positions in a 3D set of points, fiber displacements, and a posterior distribution for an updated fiber displacement in terms of the initial displacements and diffusion tensors, randomly sampling a set of updated fiber displacements from said posterior distribution, computing a new set of fiber positions from said initial fiber positions and said updated fiber displacements, wherein a fiber path comprises a set of fiber points connected by successive fiber displacements, accumulating connectivity values in each point of said 3D set of points by additive alpha-blending a scaled value if a fiber path has passed through a point and adding zero if not, and rendering said connectivity values.

    摘要翻译: 用于从扩散张量磁共振成像数据进行纤维束映射的图形处理单元实现方法包括提供扩散张量磁共振脑图像体积,初始化3D集合中的一组光纤位置,光纤位移和后验分布 在初始位移和扩散张量方面更新的光纤位移,从所述后验分布随机采样一组更新的光纤位移,从所述初始光纤位置和所述更新的光纤位移计算新的光纤位置集合,其中光纤路径包括 通过连续的光纤位移连接的一组光纤点,如果光纤路径已经通过一个点并且如果不是,则加上零,则通过加法阿尔法混合所述3D集合点的每个点中的连接值来累加连接值,并且使所述连接值 。