METHOD AND DEVICE FOR MODELING OF DEFORMATION MOTION OF ELASTIC OBJECT

    公开(公告)号:US20170109465A1

    公开(公告)日:2017-04-20

    申请号:US15392688

    申请日:2016-12-28

    Abstract: The present disclosure discloses a method and a device for elastic object deformation modeling. The method comprises: acquiring a static point cloud of the elastic object and dynamic point cloud sequences; establishing a simulation tetrahedral mesh model; driving the simulation tetrahedral mesh model to track the dynamic point cloud sequences, to obtain track deformation sequences; iteratively estimating material property coefficients and corresponding reference shapes of the elastic object; performing the following operations in each iteration: obtaining a reference shape corresponding to a current material property coefficient; driving the simulation tetrahedral mesh model to simulate the deformation from the same initial deformation according to the coefficient and the reference shape to obtain a simulation deformation sequences; calculating a positional deviation between the simulation deformation sequences and the track deformation sequences; and updating the material property coefficients in a direction in which the positional deviation is decreased; establishing an elastic object deformation model according to a material property coefficient under a minimum positional deviation and corresponding reference shape. The technical solution can establish a vivid elastic object deformation model.

    METHOD AND SYSTEM FOR RECONSTRUCTING SURFACE FROM POINT CLOUD

    公开(公告)号:US20170084080A1

    公开(公告)日:2017-03-23

    申请号:US15371148

    申请日:2016-12-06

    CPC classification number: G06T17/10 G06T17/30 G06T2210/56

    Abstract: A method for reconstructing surface from a point cloud includes following steps: (a) extracting skeletal curves from an input point cloud; (b) editing the extracted skeletal curves, and assigning sweeping path; (c) obtaining sliced point clouds along the edited skeletal curves, and fitting a closed NURBS curve according to the sliced point clouds; (d) reconstructing the point cloud to get generalized cylinders along the assigned sweeping path, according to the closed NURBS curves; (e) merging the generalized cylinders into a single surface, and smoothing intersections of the generalized cylinders so as to reconstruct surface from the point cloud. The invention further relates to a system for reconstructing surface from a point cloud. The invention can reconstruct the surface with high accuracy by the minimum interactions, and can deal with point cloud data having missing region caused by occlusion. In addition, the invention can achieve high reconstruction quality and fine controllability.

    MAGNETIC RESONANCE RAPID PARAMETER IMAGING METHOD AND SYSTEM
    25.
    发明申请
    MAGNETIC RESONANCE RAPID PARAMETER IMAGING METHOD AND SYSTEM 有权
    磁共振快速参数成像方法与系统

    公开(公告)号:US20160370444A1

    公开(公告)日:2016-12-22

    申请号:US15103845

    申请日:2014-12-05

    CPC classification number: G01R33/561 G01R33/50 G01R33/5608 G01R33/5611

    Abstract: Disclosed is a magnetic resonance rapid parameter imaging method and system. The method comprises: obtaining a target undersampled magnetic resonance signal (S10); obtaining prior information of a parameter model (S20); performing sequence reconstruction of a target image according to the undersampled magnetic resonance signal and the prior information to obtain a target image sequence (S30); and substituting the target image sequence into the parameter estimation model to obtain object parameters and to generate parametric images (S40).

    Abstract translation: 公开了一种磁共振快速参数成像方法和系统。 该方法包括:获得目标欠采样磁共振信号(S10); 获取参数模型的先验信息(S20); 根据欠采样的磁共振信号和先验信息执行目标图像的序列重构以获得目标图像序列(S30); 并且将目标图像序列代入参数估计模型以获得对象参数并生成参数图像(S40)。

    METHOD AND SYSTEM FOR AUTOMATICALLY OPTIMIZING QUALITY OF POINT CLOUD DATA
    26.
    发明申请
    METHOD AND SYSTEM FOR AUTOMATICALLY OPTIMIZING QUALITY OF POINT CLOUD DATA 有权
    用于自动优化点云数据质量的方法和系统

    公开(公告)号:US20160125226A1

    公开(公告)日:2016-05-05

    申请号:US14893035

    申请日:2013-11-26

    Inventor: Hui HUANG

    Abstract: Disclosed is a method for automatically optimizing point cloud data quality, including the following steps of: acquiring initial point cloud data for a target to be reconstructed, to obtain an initial discrete point cloud; performing preliminary data cleaning on the obtained initial discrete point cloud to obtain a Locally Optimal Projection operator (LOP) sampling model; obtaining a Possion reconstruction point cloud model by using a Possion surface reconstruction method on the obtained initial discrete point cloud; performing iterative closest point algorithm registration on the obtained Possion reconstruction point cloud model and the obtained initial discrete point cloud; and for each point on a currently registered model, calculating a weight of a surrounding point within a certain radius distance region of a position corresponding to the point for the point on the obtained LOP sampling model, and comparing the weight with a threshold, to determine whether a region where the point is located requires repeated scanning. Further disclosed is a system for automatically optimizing point cloud data quality.

    Abstract translation: 公开了一种自动优化点云数据质量的方法,包括以下步骤:获取要重建的目标的初始点云数据,以获得初始离散点云; 对获得的初始离散点云执行初步数据清理,以获得本地最优投影算子(LOP)采样模型; 通过在获得的初始离散点云上使用权重表面重建方法获得权重重点云模型; 对获得的电位重建点云模型和获得的初始离散点云进行迭代最近点算法注册; 并且对于当前注册的模型中的每个点,计算与所获取的LOP采样模型上的点的点对应的位置的某个半径距离区域内的周围点的权重,并将权重与阈值进行比较,以确定 该点所在的区域是否需要重复扫描。 进一步公开了一种用于自动优化点云数据质量的系统。

    IMAGE REPAIRING METHOD AND DEVICE
    27.
    发明申请
    IMAGE REPAIRING METHOD AND DEVICE 有权
    图像修复方法和设备

    公开(公告)号:US20150363906A1

    公开(公告)日:2015-12-17

    申请号:US14765447

    申请日:2013-09-13

    CPC classification number: G06T3/0081 G06T7/33 G06T2207/20021

    Abstract: Provided are an image restoration method and device. The method comprises: processing image blocks, which are initially registered, to acquire connection curves among the image blocks; constructing an ambient field of images to be restored by means of the connection curve; by minimizing energy of the connection curve in the ambient field, registering the image blocks; and performing image filling on the registered image blocks to acquire a restored image. The device comprises: a processing unit used for processing the image blocks, which are initially registered, to acquire the connection curve among the image blocks; an ambient field construction unit used for constructing the ambient field of the image to be restored by means of the connection curve; a registering unit used for registering the image blocks by minimizing the energy of the connection curve in the ambient field; and a filling unit used for performing image filling on the registered image blocks to acquire the restored image. The present invention can be applied to restore any damaged image and improve the accuracy.

    Abstract translation: 提供了一种图像恢复方法和装置。 该方法包括:处理最初登录的图像块,以获取图像块之间的连接曲线; 通过连接曲线构建要恢复的图像的环境场; 通过最小化环境场中的连接曲线的能量,登记图像块; 并对所登记的图像块执行图像填充以获得恢复的图像。 该装置包括:用于处理最初登记的图像块的处理单元,用于获取图像块中的连接曲线; 用于通过连接曲线构造要恢复的图像的环境场的环境场结构单元; 登记单元,用于通过使环境场中的连接曲线的能量最小化来登记图像块; 以及填充单元,用于对登记的图像块执行图像填充以获取恢复的图像。 本发明可以应用于恢复任何损坏的图像并提高精度。

    TRANSGENIC ANIMAL MODEL, METHOD FOR CONSTRUCTING SAME, AND USE THEREOF

    公开(公告)号:US20240365760A1

    公开(公告)日:2024-11-07

    申请号:US18650088

    申请日:2024-04-30

    Inventor: DI CHEN DAN YI

    Abstract: Provided are a transgenic animal model, a method for constructing same, and use thereof. An Axin1flox/flox transgenic mouse is used to mate with an Agc1-CreER transgenic mouse to produce an Axin1+Agc1ER condition knockout mouse. Then by means of tamoxifen induction, the Axin1 expression in the Axin1+Agc1ER condition knockout mouse is down-regulated, and a disease combined model with the pathological characteristics of “growth plate chondrocyte hypertrophy, heterotopic ossification and articular cartilage degeneration of knee joints” is successfully established. The model is similar to clinically related pathological features, and can be used for systematically studying the pathogenesis of growth plate chondrocyte hypertrophy, heterotopic ossification and osteoarthritis and further screening for drugs for treating related diseases.

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