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    • 3. 发明授权
    • Plane-by-plane iterative reconstruction for digital breast tomosynthesis
    • 用于数字乳房断层合成的平面迭代重建
    • US08594407B2
    • 2013-11-26
    • US13365451
    • 2012-02-03
    • Anna JerebkoKoen MichielsenJohan Nuyts
    • Anna JerebkoKoen MichielsenJohan Nuyts
    • G06K9/00A61B6/00
    • G06T11/006G06T2211/424G06T2211/436
    • A method for digitally reconstructing a 3-dimensional tomosynthesis image by iterative reconstruction, a reconstructor, and a computer program product method are capable of plane-by-plane iterative reconstruction for digital breast tomosynthesis. The reconstruction process is based on a grouped coordinate ascent algorithm where the volume is split into a plurality of patches, wherein all patches are parallel to a surface of a detector. Splitting the volume allows implementing a modified model for image acquisition where the physical movement of the x-ray source is taken into account because each of the patches is updated separately and sequentially. In addition the splitting allows an efficient implementation on a graphical processing unit by reducing memory requirements.
    • 通过迭代重建数字重建三维断层合成图像的方法,重建器和计算机程序产品方法能够进行数字乳房层析合成的平面迭代重建。 重建过程基于分组的坐标上升算法,其中体积被分成多个斑块,其中所有斑块平行于检测器的表面。 拆分音量允许实现用于图像采集的修改模型,其中考虑x射线源的物理移动,因为每个补丁被单独和顺序地更新。 此外,拆分允许通过减少内存要求在图形处理单元上有效地实现。
    • 4. 发明申请
    • PLANE-BY-PLANE ITERATIVE RECONSTRUCTION FOR DIGITAL BREAST TOMOSYNTHESIS
    • 用于数字乳腺TOMOSYNTHESIS的PLANE-BY-PLANE ITERATIVE REPONSTRUCTION
    • US20130202168A1
    • 2013-08-08
    • US13365451
    • 2012-02-03
    • ANNA JEREBKOKOEN MICHIELSENJOHAN NUYTS
    • ANNA JEREBKOKOEN MICHIELSENJOHAN NUYTS
    • G06K9/00
    • G06T11/006G06T2211/424G06T2211/436
    • A method for digitally reconstructing a 3-dimensional tomosynthesis image by iterative reconstruction, a reconstructor, and a computer program product method are capable of plane-by-plane iterative reconstruction for digital breast tomosynthesis. The reconstruction process is based on a grouped coordinate ascent algorithm where the volume is split into a plurality of patches, wherein all patches are parallel to a surface of a detector. Splitting the volume allows implementing a modified model for image acquisition where the physical movement of the x-ray source is taken into account because each of the patches is updated separately and sequentially. In addition the splitting allows an efficient implementation on a graphical processing unit by reducing memory requirements.
    • 通过迭代重建数字重建三维断层合成图像的方法,重建器和计算机程序产品方法能够进行数字乳房层析合成的平面迭代重建。 重建过程基于分组的坐标上升算法,其中体积被分成多个斑块,其中所有斑块平行于检测器的表面。 拆分音量允许实现用于图像采集的修改模型,其中考虑x射线源的物理移动,因为每个补丁被单独和顺序地更新。 此外,拆分允许通过减少内存要求在图形处理单元上有效地实现。
    • 5. 发明申请
    • X-RAY METHOD AND X-RAY SYSTEM FOR MERGING X-RAY IMAGES AND DETERMINING THREE-DIMENSIONAL VOLUME DATA
    • 用于合并X射线图像和确定三维体积数据的X射线方法和X射线系统
    • US20120257714A1
    • 2012-10-11
    • US13442086
    • 2012-04-09
    • Rainer GRAUMANNAnna JEREBKO
    • Rainer GRAUMANNAnna JEREBKO
    • A61B6/03
    • A61B6/5241A61B6/025A61B6/4441A61B6/5205
    • Three-dimensional image information is generated of a body part that is larger than the visual field of an X-ray machine. An X-ray source and an X-ray detector are disposed at a first position such that the X-ray source and the X-ray detector can record a first projection image of at least a first section of a body part. Then the first projection image is recorded. The X-ray source and the X-ray detector are next disposed at a second position such that the X-ray source and the X-ray detector can record a second projection image of at least a second section of the body part. The second section partially overlaps the first section. The first and second projection images are merged to form a projected image. A three-dimensional volume of the body part is reconstructed from the plurality of projection images.
    • 生成比X射线机的视场大的身体部位的三维图像信息。 X射线源和X射线检测器设置在第一位置,使得X射线源和X射线检测器可以记录身体部分的至少第一部分的第一投影图像。 然后记录第一投影图像。 接下来,X射线源和X射线检测器设置在第二位置,使得X射线源和X射线检测器可以记录身体部分的至少第二部分的第二投影图像。 第二部分与第一部分重叠。 第一和第二投影图像被合并以形成投影图像。 从多个投影图像重建身体部位的三维体积。
    • 6. 发明授权
    • System and method for organ segmentation using surface patch classification in 2D and 3D images
    • 在2D和3D图像中使用表面贴片分类进行器官分割的系统和方法
    • US08135189B2
    • 2012-03-13
    • US12243327
    • 2008-10-01
    • Anna JerebkoMatthias Wolf
    • Anna JerebkoMatthias Wolf
    • G06K9/00
    • G06T17/20G06T7/12G06T7/149G06T2207/10072G06T2207/20081G06T2207/20124G06T2207/30004
    • A method for segmenting organs in digitized medical images includes providing a set of segmented training images of an organ, computing a surface mesh having a plurality of mesh cells that approximates a border of the organ, extracting positive examples of all mesh cells and negative examples in the neighborhood of each mesh cell which do not belong to the organ surface, training from the positive examples and negative examples a plurality of classifiers for outputting a probability of a point being a center of a particular mesh cell, computing an active shape model using a subset of center points in the mesh cells, generating a new shape by iteratively deforming the active shape model to fit a test image, and using the classifiers to calculate a probability of each center point of the new shape being a center of a mesh cell which the classifier was trained to recognize.
    • 用于在数字化医学图像中分割器官的方法包括提供一组器官的分割训练图像,计算具有近似器官边界的多个网格细胞的表面网格,提取所有网孔细胞的阳性实例和阴性实例 不属于器官表面的每个网格单元的邻域,从正面示例和负面示例中训练多个分类器,用于输出点是特定网格单元格的中心的概率,使用 网格单元中的中心点的子集,通过迭代地使活动形状模型变形以拟合测试图像来生成新形状,并且使用分类器来计算新形状的每个中心点是网格单元格的中心的概率, 分类器被训练认识。
    • 7. 发明申请
    • System and Method for Organ Segmentation Using Surface Patch Classification in 2D and 3D Images
    • 使用2D和3D图像中表面贴片分类进行器官分割的系统和方法
    • US20090092301A1
    • 2009-04-09
    • US12243327
    • 2008-10-01
    • Anna JerebkoMatthias Wolf
    • Anna JerebkoMatthias Wolf
    • G06K9/00
    • G06T17/20G06T7/12G06T7/149G06T2207/10072G06T2207/20081G06T2207/20124G06T2207/30004
    • A method for segmenting organs in digitized medical images includes providing a set of segmented training images of an organ, computing a surface mesh having a plurality of mesh cells that approximates a border of the organ, extracting positive examples of all mesh cells and negative examples in the neighborhood of each mesh cell which do not belong to the organ surface, training from the positive examples and negative examples a plurality of classifiers for outputting a probability of a point being a center of a particular mesh cell, computing an active shape model using a subset of center points in the mesh cells, generating a new shape by iteratively deforming the active shape model to fit a test image, and using the classifiers to calculate a probability of each center point of the new shape being a center of a mesh cell which the classifier was trained to recognize.
    • 用于在数字化医学图像中分割器官的方法包括提供一组器官的分割训练图像,计算具有近似器官边界的多个网格细胞的表面网格,提取所有网孔细胞的阳性实例和阴性实例 不属于器官表面的每个网格单元的邻域,从正面示例和负面示例中训练多个分类器,用于输出点是特定网格单元格的中心的概率,使用 网格单元中的中心点的子集,通过迭代地使活动形状模型变形以拟合测试图像来生成新形状,并且使用分类器来计算新形状的每个中心点是网格单元格的中心的概率, 分类器被训练认识。