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    • 1. 发明申请
    • DETECTION AND LOCALIZATION OF VASCULAR OCCLUSION FROM ANGIOGRAPHY DATA
    • 血管造影数据检测和定位
    • WO2008030192A1
    • 2008-03-13
    • PCT/SG2007/000292
    • 2007-09-06
    • AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCHNOWINSKI, Wieslaw L.
    • NOWINSKI, Wieslaw L.
    • A61B5/055
    • A61B6/504G06T7/0014G06T7/68G06T2207/10072G06T2207/30104Y10S128/922
    • A technique for detecting and localising vascular occlusions in the brain of a patient is presented. The technique uses volumetric angiographic data of the brain. A mid- sagittal plane and/or lines is/are identified within the set of angiographic data. Optionally, the asymmetry of the hemispheres is measured, thereby obtaining an initial indication of whether an occlusion might be present. The angiographic data is mapped to pre-existing atlas of blood supply territories, thereby obtaining the portion of the angiographic data corresponding to each of the blood supply territories. For each territory (including any sub-territories), the asymmetry of the corresponding portion of the angiographic data about the mid-sagittal plane/lines is measured, thereby detecting any of the blood supply territory including an occlusion. The angiographic data for any such territory is displayed by a three-dimensional imaging technique.
    • 提出了一种用于检测和定位患者脑部血管闭塞的技术。 该技术使用大脑的体积血管造影数据。 在血管造影数据集内确定中矢状面和/或线。 可选地,测量半球的不对称性,从而获得是否存在闭塞的初始指示。 血管造影数据被映射到血液供应领域的预先存在的图集,从而获得对应于每个血液供应区域的部分血管造影数据。 对于每个领域(包括任何次领地),测量关于中矢状面/线中线的血管造影数据的对应部分的不对称性,从而检测包括闭塞的任何血液供应领域。 任何这样的领域的血管造影数据通过三维成像技术显示。
    • 3. 发明申请
    • METHODS AND APPARATUS FOR CALCULATING AND PRESENTING THE PROBABILISTIC FUNCTIONAL MAPS OF THE HUMAN BRAIN
    • 用于计算和显示人脑的概率函数的方法和装置
    • WO02093292A3
    • 2003-01-30
    • PCT/SG0200023
    • 2002-02-18
    • KENT RIDGE DIGITAL LABSNOWINSKI WIESLAW LBIALOU DZMITRY
    • NOWINSKI WIESLAW LBIALOU DZMITRY
    • A61B5/0476G06F20060101G06F17/10G06F17/18G06F19/00G06K9/00G06F101/14G06F159/00
    • G06K9/0057
    • The present invention proposes a method for calculating, presenting, and combining probabilistic functional maps (PFMs) of the human brain representing the probability of structures existing. The method comprises three major steps: reading of data containing the coordinates of contacts, calculating the PFMs, and presenting he PFMs. The data can be read from a file in text or binary format or from a database as local or remote client. The PFM calculation comprises the following steps: forming 3D models of contacts, normalizing the contact models, voxelizing the contact models, calculating an atlas function, and calculating the PFM. The PFM can be presented alone or along with anatomical atlases. Both 3D and 2D interfaces can be used for presentation. The proposed method also includes different ways of combining the contact data and/or existing PFMs from multiple sources. This mechanism is the basis of an internet portal for stereotactic and functional neurosurgery.
    • 本发明提出了一种用于计算,呈现和组合表示现有结构概率的人脑的概率功能图(PFM)的方法。 该方法包括三个主要步骤:读取包含联系人坐标,计算PFM以及提供PFM的数据。 数据可以从文本或二进制格式的文件读取,也可以从本地或远程客户机的数据库读取。 PFM计算包括以下步骤:形成联系人的三维模型,归一化接触模型,使接触模型体素化,计算图谱功能,计算PFM。 PFM可以单独呈现或与解剖图谱一起出现。 3D和2D界面均可用于演示。 所提出的方法还包括组合来自多个源的联系人数据和/或现有PFM的不同方式。 这种机制是立体定向和功能神经外科的互联网门户的基础。
    • 4. 发明申请
    • SYSTEM AND METHOD OF ANATOMICAL MODELING
    • 解剖学建模系统与方法
    • WO2002097735A1
    • 2002-12-05
    • PCT/SG2001/000111
    • 2001-05-31
    • KENT RIDGE DIGITAL LABSCHUI, Chee, KongNOWINSKI, Wieslaw, L.
    • CHUI, Chee, KongNOWINSKI, Wieslaw, L.
    • G06T17/10
    • G06T17/00
    • Methods of modeling anatomical structures, along with pathology including the vasculature, spine and internal organs, for visualization and manipulation in simulation systems. A representation of the human vascular network is built up from medical images and a geometrical model produced therefrom by extracting topological and geometrical information. The model is constructed using topological and geometrical information. The model is constructed using segments containing topology structure information, flow domain information contour domain information and skeletal domain information. A realistic surface is then applied to the geometric model, by generating a trajectory along a central axis of the geometric model, conducting moving trihedron modeling along the generated trajectory and then creating a sweeping surface along the trajectory. A novel joint reconstruction approach is also proposed whereby a part surface sweeping operation is performed across branches of the joint and then a surface created over the resultatn holes therebetween. A 3-D mesh may also be generated, based upon this model, for finite element analysis and pathology creation.
    • 建模解剖结构的方法,包括脉管系统,脊柱和内脏的病理学,用于模拟系统中的可视化和操纵。 通过提取拓扑和几何信息,从医学图像和由其产生的几何模型建立人血管网络的表示。 该模型使用拓扑和几何信息构建。 该模型使用包含拓扑结构信息,流域信息轮廓域信息和骨架域信息的段来构建。 然后通过沿几何模型的中心轴产生轨迹,沿着所产生的轨迹进行移动三面体建模,然后沿着轨迹创建扫掠表面,将现实表面应用于几何模型。 还提出了一种新颖的关节重建方法,其中在关节的分支之间执行部分表面扫掠操作,然后在其之间形成的表面上形成表面。 也可以基于该模型生成用于有限元分析和病理创建的3-D网格。
    • 6. 发明申请
    • METHODS, APPARATUS AND COMPUTER-READABLE MEDIA FOR IMAGE SEGMENTATION
    • 方法,图像分割的装置和计算机可读介质
    • WO2007105107A2
    • 2007-09-20
    • PCT/IB2007/001215
    • 2007-03-13
    • AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCHHU, QingmaoQIAN, GuoyuNOWINSKI, Wieslaw, L.
    • HU, QingmaoQIAN, GuoyuNOWINSKI, Wieslaw, L.
    • G06T7/174
    • A method of thresholding a set of images of an object of interest taken at different relative axial positions, each image in the set of images comprising a plurality of pixels each pixel having an intensity. The method comprises determining based on the intensities of the pixels in plural images from the set of images a global intensity value for the set of images; determinging based on the intensities of the pixels in a first image from the set of images a local intensity value for the first image; establishing for at least one image intermediate the first and second images, a respective lower threshold that is dependent on at least the global intensity value and the local intensity value for the first image; and binarizing the at least one intermedite image according to the respective lower threshold to create a corresponding at least one mask for segmentation of the object of interest.
    • 一种阈值化在不同相对轴向位置处拍摄的感兴趣对象的一组图像的方法,所述图像集合中的每个图像包括具有强度的每个像素的多个像素。 该方法包括基于来自该组图像的多个图像中的像素的强度来确定该组图像的全局强度值; 基于来自该组图像的第一图像中的像素的强度来确定第一图像的局部强度值; 为所述第一和第二图像中的至少一个图像建立至少依赖于第一图像的全局强度值和局部强度值的相应下阈值; 以及根据所述相应的下阈值二值化所述至少一个中间图像,以创建相应的至少一个用于所述感兴趣对象的分割的掩模。
    • 7. 发明申请
    • METHOD AND APPARATUS FOR IMAGE SEGMENTATION
    • 图像分割的方法和装置
    • WO2006104468A1
    • 2006-10-05
    • PCT/SG2006/000074
    • 2006-03-28
    • AGENCY FOR SCIENCE, TECHNOLOGY AND RESEARCHHU, QingmaoNOWINSKI, Wieslaw, L.
    • HU, QingmaoNOWINSKI, Wieslaw, L.
    • G06T7/60
    • G06K9/38G06T7/11G06T7/136G06T2207/10072G06T2207/30016
    • A 3D image may be segmented based on one or more intensity thresholds determined from a subset of the voxels in the 3D image. The subset may contain voxels in a 2D reference slice. A low threshold and a high threshold may be used for segmenting an image, and they may be determined using different thresholding methods, depending on the image type. In one method, two sets of bordering pixels are selected from an image. A statistical measure of intensity of each set of pixels is determined. An intensity threshold value is calculated from the statistical measures for segmenting the image. In another method, the pixels of an image are clustered into clusters of different intensity ranges. An intensity threshold for segmenting the image is calculated as a function of a mean intensity and a standard deviation for pixels in one of the clusters. A further method is a supervised range-constrained thresholding method.
    • 可以基于从3D图像中的体素的子集确定的一个或多个强度阈值来分割3D图像。 子集可以包含二维参考片中的体元。 可以使用低阈值和高阈值来分割图像,并且它们可以使用不同的阈值方法来确定,这取决于图像类型。 在一种方法中,从图像中选择两组边界像素。 确定每组像素的强度的统计量度。 根据用于分割图像的统计度量计算强度阈值。 在另一种方法中,图像的像素被聚集成不同强度范围的簇。 根据平均强度和其中一个簇中的像素的标准偏差来计算用于分割图像的强度阈值。 另一种方法是监督范围约束阈值法。
    • 8. 发明申请
    • SYSTEM AND METHOD OF ANATOMICAL MODELING
    • 解剖学建模系统与方法
    • WO02097735A8
    • 2003-12-18
    • PCT/SG0100111
    • 2001-05-31
    • KENT RIDGE DIGITAL LABSCHEN XUESONGCHUI CHEE KONGNOWINSKI WIESLAW L
    • CHEN XUESONGCHUI CHEE KONGNOWINSKI WIESLAW L
    • G06T17/00G06T17/10
    • G06T17/00
    • Methods of modeling anatomical structures, along with pathology including the vasculature, spine and internal organs, for visualization and manipulation in simulation systems. A representation of the human vascular network is built up from medical images and a geometrical model produced therefrom by extracting topological and geometrical information. The model is constructed using topological and geometrical information. The model is constructed using segments containing topology structure information, flow domain information contour domain information and skeletal domain information. A realistic surface is then applied to the geometric model, by generating a trajectory along a central axis of the geometric model, conducting moving trihedron modeling along the generated trajectory and then creating a sweeping surface along the trajectory. A novel joint reconstruction approach is also proposed whereby a part surface sweeping operation is performed across branches of the joint and then a surface created over the resultatn holes therebetween. A 3-D mesh may also be generated, based upon this model, for finite element analysis and pathology creation.
    • 建模解剖结构的方法,包括脉管系统,脊柱和内脏的病理学,用于模拟系统中的可视化和操纵。 通过提取拓扑和几何信息,从医学图像和由其产生的几何模型建立人血管网络的表示。 该模型使用拓扑和几何信息构建。 该模型使用包含拓扑结构信息,流域信息轮廓域信息和骨架域信息的段来构建。 然后通过沿几何模型的中心轴产生轨迹,沿着所产生的轨迹进行移动三面体建模,然后沿着轨迹创建扫掠表面,将现实表面施加到几何模型。 还提出了一种新颖的关节重建方法,其中在关节的分支之间执行部分表面扫掠操作,然后在其之间形成的表面上形成表面。 也可以基于该模型生成用于有限元分析和病理创建的3-D网格。