METHOD OF REARRANGING A CLUSTER MAP OF VOXELS IN AN IMAGE
    1.
    发明申请
    METHOD OF REARRANGING A CLUSTER MAP OF VOXELS IN AN IMAGE 有权
    在图像中重新定位VOXELS的聚类映射的方法

    公开(公告)号:US20090324073A1

    公开(公告)日:2009-12-31

    申请号:US12375754

    申请日:2007-07-30

    Abstract: This invention relates to rearranging a cluster map of voxels in an image aiming at the reduction of sub-cluster scatter. The cluster map that includes two or more cluster levels is displayed to the user along with the distribution of the voxels within each respective cluster levels. The aim is to enable the user to evaluate the quality of the cluster map and based on the evaluation to change the distribution of the voxels. Such a change in the distribution will result in an update of the cluster map.

    Abstract translation: 本发明涉及重新排列旨在减少子群落散射的图像中的体素的聚类映射。 包含两个或多个集群级别的集群映射与每个相应集群级别中的体素分布一起显示给用户。 目的是使用户能够评估集群映射的质量,并根据评估改变体素的分布。 分配的这种变化将导致集群映射的更新。

    METHOD OF COMBINING BINARY CLUSTER MAPS INTO A SINGLE CLUSTER MAP
    2.
    发明申请
    METHOD OF COMBINING BINARY CLUSTER MAPS INTO A SINGLE CLUSTER MAP 审中-公开
    将二进制集群组合成单个集群映射的方法

    公开(公告)号:US20090324035A1

    公开(公告)日:2009-12-31

    申请号:US12375747

    申请日:2007-07-17

    Abstract: This invention relates to a method of combining multiple binary cluster maps into a single cluster map; where each respective binary cluster map represents characteristic information and the single cluster map represent the sum of the characteristic information. Initially, each respective binary cluster map is assigned with a reliability factor for indicating the reliability of the binary cluster map. These factor values are then used to determine a reliability vector comprising reliability factor elements, where each respective reliability factor element is associated to certain cluster map area in the single cluster map and indicates the reliability of cluster map are. In that way, the single cluster map can be viewed with respect to the reliability.

    Abstract translation: 本发明涉及将多个二进制簇映射组合成单个簇映射的方法; 其中每个相应的二进制集群映射表示特征信息,并且单个集群映射表示特征信息的和。 首先,为每个相应的二进制簇映射分配用于指示二进制簇映射的可靠性的可靠性因子。 然后使用这些因子值来确定包括可靠性因素元素的可靠性向量,其中每个相应的可靠性因素元素与单个聚类映射中的某些聚类映射区域相关联并且指示聚类映射的可靠性。 以这种方式,可以相对于可靠性来查看单个集群映射。

    Method of rearranging a cluster map of voxels in an image
    3.
    发明授权
    Method of rearranging a cluster map of voxels in an image 有权
    重新排列图像中体素的集群映射的方法

    公开(公告)号:US08189929B2

    公开(公告)日:2012-05-29

    申请号:US12375754

    申请日:2007-07-30

    Abstract: This invention relates to rearranging a cluster map of voxels in an image aiming at the reduction of sub-cluster scatter. The cluster map that includes two or more cluster levels is displayed to the user along with the distribution of the voxels within each respective cluster levels. The aim is to enable the user to evaluate the quality of the cluster map and based on the evaluation to change the distribution of the voxels. Such a change in the distribution will result in an update of the cluster map.

    Abstract translation: 本发明涉及重新排列旨在减少子群落散射的图像中的体素的聚类映射。 包含两个或多个集群级别的集群映射与每个相应集群级别中的体素分布一起显示给用户。 目的是使用户能够评估集群映射的质量,并根据评估改变体素的分布。 分配的这种变化将导致集群映射的更新。

    AUTOMATIC VOXEL SELECTION FOR PHARMACOKINETIC MODELING
    4.
    发明申请
    AUTOMATIC VOXEL SELECTION FOR PHARMACOKINETIC MODELING 审中-公开
    用于药物动力学建模的自动VOXEL选择

    公开(公告)号:US20090182543A1

    公开(公告)日:2009-07-16

    申请号:US12306286

    申请日:2007-06-29

    CPC classification number: G06T7/0012 G06T2207/10076 G06T2207/30004

    Abstract: This relates to a method of automatically selecting preferred voxels from a group of voxels for pharmacokinetic modeling of a biological system, where the voxels contain data points indicating a change of activity-levels over time. For each respective voxel the changes of the data points over time with at least one noise level value, where the comparing is performed in accordance to a pre-defined selection rule. Then, those voxels where the result of the comparing obeys the selection rule are then selected as preferred voxels.

    Abstract translation: 这涉及一种自动选择来自一组体素的体素的用于生物系统的药代动力学建模的方法,其中体素包含指示活动水平随时间变化的数据点。 对于每个相应的体素,随着时间的推移,数据点随着至少一个噪声水平值的变化,其中根据预定义的选择规则进行比较。 然后,将比较结果的选择符合选择规则的体素作为优选体素进行选择。

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