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    • 2. 发明申请
    • Active polyhedron for 3D image segmentation
    • 用于3D图像分割的活动多面体
    • US20050195185A1
    • 2005-09-08
    • US11067151
    • 2005-02-24
    • Gregory SlabaughGozde UnalJason Tyan
    • Gregory SlabaughGozde UnalJason Tyan
    • G06T7/40G06T15/00G06T17/20
    • G06K9/6207G06K9/00214
    • A method for three dimensional image segmentation of a volume of interest includes providing a three dimensional image of the volume of interest, providing an initial polyhedron having a plurality of mesh vertices within the three dimension image and determining an image-based speed at each vertex of the polyhedron using an ordinary differential equation (ODE) that describes the vertex motion of the polyhedron. The method further includes determining a regularization term at each vertex of the polyhedron, updating the plurality of mesh vertices of the polyhedron, integrating the image-based speed of each vertex over a face of the polyhedron, and determining an output polyhedron approximating a shape of the volume of interest.
    • 用于感兴趣体积的三维图像分割的方法包括提供感兴趣体积的三维图像,提供在三维图像内具有多个网格顶点的初始多面体,并且确定每个顶点处的基于图像的速度 多面体使用描述多面体顶点运动的常微分方程(ODE)。 该方法还包括确定多面体的每个顶点处的正则化项,更新多面体的多个网格顶点,将多个顶点的每个顶点的基于图像的速度整合在多面体的面上,以及确定接近多面体的形状的输出多面体 感兴趣的数量。
    • 8. 发明申请
    • Method and Apparatus for Inner Wall Extraction and Stent Strut Detection Using Intravascular Optical Coherence Tomography Imaging
    • 使用血管内光学相干断层扫描成像的内壁提取和支架支架检测的方法和装置
    • US20070167710A1
    • 2007-07-19
    • US11555806
    • 2006-11-02
    • Gozde UnalYan YangGregory SlabaughTong Fang
    • Gozde UnalYan YangGregory SlabaughTong Fang
    • A61B5/05
    • A61B5/6852A61B5/0066A61B5/0086
    • A method and apparatus for automatically detecting stent struts in an image is disclosed whereby the inner boundary, or lumen, of an artery wall is first detected automatically and intensity profiles along rays in the image are determined. In one embodiment, detection of the lumen boundary may be accomplished, for example, by evolving a geometric shape, such as an ellipse, using a region-based algorithm technique, a geodesic boundary-based algorithm technique or a combination of the two techniques. Once the lumen boundary has been determined, in another embodiment, the stent struts are detected using a ray shooting algorithm whereby a ray is projected outward in the OCT image starting from the position in the image of the OCT sensor. The intensities of the pixels along the ray are used to detect the presence of a stent strut in the image.
    • 公开了一种用于自动检测图像中的支架支柱的方法和装置,其中首先自动检测动脉壁的内边界或内腔,并且确定与图像中的光线的强度分布。 在一个实施例中,可以例如通过使用基于区域的算法技术,基于测地边界的算法技术或两种技术的组合来演示诸如椭圆的几何形状来实现流明边界的检测。 一旦已经确定了管腔边界,在另一个实施例中,使用射线射击算法来检测支架支柱,由此射线从OCT传感器的图像中的位置开始向OCT中投射。 使用沿着光线的像素的强度来检测图像中支架支柱的存在。
    • 9. 发明申请
    • Method and Apparatus for Surface Partitioning Using Geodesic Distance Measure
    • 使用测地距离测量进行表面分割的方法和装置
    • US20070050073A1
    • 2007-03-01
    • US11466149
    • 2006-08-22
    • Gozde UnalGregory SlabaughTong Fang
    • Gozde UnalGregory SlabaughTong Fang
    • G06F19/00
    • H04R25/658G06K9/469H04R25/652H04R2225/77
    • An improved method of designing hearing aid molds is disclosed whereby regions of an ear impression model are identified as a function of a geodesic distance measure. According to a first embodiment, a canal point of an ear impression model is identified as that point having a maximum normalized geodesic distance as compared to all other points on the surface of the ear impression model. According to a second embodiment, a helix point of the ear impression model is identified as that point having a maximum normalized geodesic distance as compared to all points except those points in the canal region of said ear impression model. Finally, in accordance with another embodiment, a geodesic distance between a canal point and a helix point of an ear impression model is identified and a percentage threshold, illustratively 65%, is applied to that geodesic distance to identify a crus region.
    • 公开了一种改进的助听器模具的设计方法,其中耳朵印模模型的区域被识别为测地距离测量的函数。 根据第一实施例,与耳朵印象模型的表面上的所有其他点相比,耳朵印模模型的运河点被识别为具有最大归一化测地距离的点。 根据第二实施例,与除了所述耳朵印象模型的运河区域中的那些点之外的所有点相比,耳朵印模模型的螺旋点被识别为具有最大归一化测地距离的点。 最后,根据另一个实施例,识别耳朵印模模型的运河点和螺旋点之间的测地距离,并且示例性地将65%的百分比阈值应用于该测地距离以识别小腿区域。