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    • 11. 发明申请
    • DOSE COMPUTATION FOR RADIATION THERAPY USING HETEROGENEITY COMPENSATED SUPERPOSITION
    • 剂量计算使用异源补偿超导辐射治疗
    • US20140235923A1
    • 2014-08-21
    • US14346949
    • 2012-10-01
    • Todd McNuttRobert A. Jacques
    • Todd McNuttRobert A. Jacques
    • A61N5/10
    • A61N5/1031A61N5/103A61N5/1048A61N5/1067A61N5/1071A61N5/1075A61N2005/1032G06F19/3481
    • A system for radiation therapy includes a radiation planning system. The radiation planning system includes a data processor that is adapted to receive information concerning an intended radiation treatment region of a body, receive a calculated initial energy released per unit mass for a plurality of locations within the body, compute a radiation dose at a plurality of locations within the radiation treatment region based on the calculated initial energy released per unit mass and including radiation dose contributions due to scattering from other locations within the body, and determine radiation therapy parameters for providing radiation treatment to the intended radiation treatment region based on the radiation dose computed at the plurality of locations within the radiation treatment region. Including radiation dose contributions due to scattering from other locations within the body take into account density discontinuities in the body.
    • 放射治疗系统包括辐射计划系统。 辐射计划系统包括数据处理器,其适于接收关于身体的预期辐射治疗区域的信息,接收针对身体内的多个位置的每单位质量释放的计算的初始能量,计算多个位置处的辐射剂量 基于计算出的每单位质量释放的初始能量并且包括由于体内其他位置的散射引起的辐射剂量贡献,以及确定放射治疗参数,用于基于辐射向预期辐射治疗区域提供辐射治疗, 在辐射治疗区域内的多个位置处计算的剂量。 包括由于体内其他位置的散射引起的辐射剂量贡献考虑了身体的密度不连续性。
    • 15. 发明授权
    • 3D image segmentation
    • 3D图像分割
    • US07536041B2
    • 2009-05-19
    • US10560185
    • 2004-06-09
    • Vladimir PekarMichael Reinhold KausTodd McNutt
    • Vladimir PekarMichael Reinhold KausTodd McNutt
    • G06K9/00G06K9/34
    • G06T17/20G06T7/12G06T7/149G06T2207/10081G06T2207/20092G06T2207/30004
    • A delineation of a structure of interest can be performed by fitting 3D deformable models, for example, represented by polygonal measures, to the boundaries of the structure of interest. The deformable model fitting process is guided by minimization of the sum of an external energy, based on image feature information, which attracts the mesh to the organ boundaries and an internal energy, which preserves the consistent shape of the mesh. A frequent problem is that the images do not contain sufficient reliable image feature information, such as image gradients, to attract the mesh. According to the present invention, manually drawn attractors in the form of complete or partial contours corresponding to boundaries of the structure of interest are placed into the images which do not contain sufficient feature information. These attractors may easily be discriminated by a subsequent segmentation process. Due to this, advantageously, a 3D deformable model can be fitted to structures of interest in images with poor contrast, noise or image artifacts.
    • 可以通过将例如由多边形度量表示的3D可变形模型拟合到感兴趣的结构的边界来执行感兴趣的结构的描绘。 可变形模型拟合过程是基于图像特征信息的最小化引导的,该图像特征信息将网格吸引到器官边界和内部能量,这保留了网格的一致形状。 一个常见的问题是,图像不包含足够可靠的图像特征信息,如图像梯度,以吸引网格。 根据本发明,将对应于感兴趣结构的边界的完整或部分轮廓形式的手动吸引器放置在不包含足够的特征信息的图像中。 这些吸引子可以容易地被随后的分割过程区分开。 因此,有利地,可以将3D可变形模型拟合到具有差的对比度,噪声或图像伪像的图像中的感兴趣的结构。