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    • 24. 发明授权
    • Method and system for dual energy image registration
    • 双能量图像配准方法与系统
    • US07961925B2
    • 2011-06-14
    • US11934273
    • 2007-11-02
    • Yunqiang ChenTong Fang
    • Yunqiang ChenTong Fang
    • G06K9/00
    • G06K9/32G06K9/6857
    • A method and system for dual energy image registration is disclosed. In order to segment first and second images of a dual energy image pair, the first and second images are preprocessed to detect edges in the images. Gaussian pyramids, having multiple pyramid images corresponding to multiple pyramid levels, are generated for the first and second images. An initial optical flow value is initialized for a first pyramid level, and the optical flow value is sequentially updated for each pyramid level based on the corresponding pyramid images using an optimization function having a similarity measure and a regularizer. This results in a final optical flow value between the first and second images, and the first and second images are registered based on the final optical flow value.
    • 公开了一种用于双能量图像配准的方法和系统。 为了分割双能量图像对的第一和第二图像,第一和第二图像被预处理以检测图像中的边缘。 对于第一和第二图像,生成具有对应于多个金字塔级别的多个金字塔图像的高斯金字塔。 对于第一金字塔级别初始化初始光流值,并且使用具有相似性度量和正则化器的优化函数,基于相应的金字塔图像,针对每个金字塔级别顺序更新光流值。 这导致第一和第二图像之间的最终光流值,并且基于最终光流值登记第一和第二图像。
    • 26. 发明申请
    • SYSTEM AND METHOD FOR AUTOMATIC DETECTION OF TIP PLANE ON 3D DETAILED EAR IMPRESSIONS
    • 用于自动检测三维细节图像上的提示平面的系统和方法
    • US20110102432A1
    • 2011-05-05
    • US12853356
    • 2010-08-10
    • Rupen MelkisetogluGang LiTong Fang
    • Rupen MelkisetogluGang LiTong Fang
    • G06T17/00
    • G06T19/00G06T7/66G06T2210/36
    • A method for detecting the tip plane in digitized 3D ear impressions includes receiving a digitized mesh representation of an undetailed 3D ear impression and a digitized mesh representation of a detailed 3D ear impression, finding faces on the detailed ear impression mesh that are modified with respect to corresponding faces on the undetailed ear impression mesh, forming regions of connected modified faces, eliminating those regions that are not around an ear canal, and creating a tip plane by averaging vertices of those remaining faces in a tip region of the detailed impression to find a mass center point, averaging face normal vectors over all faces in the tip region to find an average face normal, and extending the average face normal from the mass center point to find the intersection on the detailed ear impression.
    • 用于检测数字化3D耳朵曝光中的尖端平面的方法包括接收未详细3D耳朵印象的数字化网格表示和详细3D耳朵印象的数字化网格表示,在详细的耳朵印象网格上找到相对于 形成未详细的耳朵印模网的相应面,形成连接修改面的区域,消除不在耳道周围的那些区域,以及通过平均细节印象的尖端区域中那些剩余面的顶点来创建尖端平面,以找到 平均脸部正常,平均脸部法线从质心中心点延伸,以便在详细的耳朵上找到交叉点。
    • 28. 发明授权
    • 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方法和装置
    • US07801343B2
    • 2010-09-21
    • US11555806
    • 2006-11-02
    • Gozde UnalYan YangGregory G. SlabaughTong Fang
    • Gozde UnalYan YangGregory G. SlabaughTong Fang
    • G06K9/00A61B5/05
    • 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。