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    • 62. 发明授权
    • Bias field estimation for intensity inhomogeneity correction in MR images
    • MR图像强度不均匀性校正的偏置场估计
    • US06208138B1
    • 2001-03-27
    • US09095792
    • 1998-06-11
    • Shang-Hong LaiMing Fang
    • Shang-Hong LaiMing Fang
    • G01V300
    • G01R33/3875
    • An intensity inhomogeneity correction system includes a log operator which performs a log operation on the intensity values of the original MR image. A regular grid generator partitions the image domain and then a compute and select establishes reliable orientation constraints at grid locations. A bias field surface reconstructor reconstructs a bias field surface from selected orientation constraints with a thin-plate spline by using a preconditioned conjugate gradient. An intensity inhomogeneities remover subtracts an estimated bias function from the original log image and an exponential operation on the bias-field corrected log image provides a corrected image.
    • 强度不均匀性校正系统包括对原始MR图像的强度值执行对数运算的对数运算符。 常规网格生成器分割图像域,然后计算和选择在网格位置建立可靠的方向约束。 偏置场表面重建器通过使用预条件共轭梯度,用薄板样条从选定的取向约束重构偏置场表面。 强度不均匀性去除器从原始对数图像中减去估计偏差函数,并且偏置场校正日志图像上的指数运算提供校正图像。
    • 63. 发明授权
    • Neural network based auto-windowing system for MR images
    • 基于神经网络的MR图像自动窗口系统
    • US06175643B1
    • 2001-01-16
    • US08993230
    • 1997-12-18
    • Shang-Hong LaiMing Fang
    • Shang-Hong LaiMing Fang
    • G06K900
    • G06T3/4046G06T3/4053
    • An adaptive hierarchical neural network based system with online adaptation capabilities has been developed to automatically adjust the display window width and center for MR images. Our windowing system possesses the online training capabilities that make the adaptation of the optimal display parameters to personal preference as well as different viewing conditions possible. The online adaptation capabilities are primarily due to the use of the hierarchical neural networks and the development of a new width/center mapping system. The large training image set is hierarchically organized for efficient user interaction and effective re-mapping of the width/center settings in the training data set. The width/center values are modified in the training data through a width/center mapping function, which is estimated from the new width/center values of some representative images adjusted by the user. The width/center mapping process consists of a global spline mapping for the entire training images as well as a first-order polynomial sequence mapping for the image sequences selected in the user's new adjustment procedure.
    • 已经开发了具有在线适应能力的基于自适应层次神经网络的系统,以自动调整MR图像的显示窗口宽度和中心。 我们的窗口系统具有在线培训功能,可以使最佳显示参数适应个人偏好以及可能的不同观看条件。 在线适应能力主要是由于使用分层神经网络和开发新的宽度/中心映射系统。 大型训练图像集被分层组织,用于有效的用户交互,并有效地重新映射训练数据集中的宽度/中心设置。 通过宽度/中心映射函数在训练数据中修改宽度/中心值,该宽度/中心映射函数根据由用户调整的一些代表性图像的新的宽度/中心值估计。 宽度/中心映射过程由用于整个训练图像的全局样条映射以及在用户的新调整过程中选择的图像序列的一阶多项式序列映射组成。
    • 67. 发明授权
    • Adaptive edge-preserving smoothing filter
    • 自适应边缘保持平滑滤波器
    • US5771318A
    • 1998-06-23
    • US672194
    • 1996-06-27
    • Ming FangJianzhong Qian
    • Ming FangJianzhong Qian
    • G06T5/20G06T5/00
    • G06T5/20
    • An adaptive edge-preserving smoothing filter effectively reduces noise levels while preserving fine structures in data. The behavior of the filter is controlled easily by two control parameters. To adaptively control the behavior of the filter, the control parameter, .alpha., can be set as a function of the local directional variances. The control parameter, .beta., can be set as a function of all of the directional variances and directional means. The filter includes; a compute means which receives the filter window size, the number of filter directions and input data, adaptive weighting parameter map means which receives the control parameter, .alpha., adaptive weighting process means, adaptive combination parameter map means which receives the control parameter, .beta., and final compute means which provides the filtered output data.
    • 自适应边缘保持平滑滤波器有效地降低噪声水平,同时保留数据中的精细结构。 过滤器的行为由两个控制参数容易控制。 为了自适应地控制过滤器的行为,可以将控制参数α设置为局部方向方差的函数。 控制参数β可以设置为所有方向方向和方向方式的函数。 过滤器包括 接收滤波器窗口尺寸,滤波器方向数量和输入数据的计算装置,接收控制参数的自适应加权参数映射装置,α,自适应加权处理装置,接收控制参数β的自适应组合参数映射装置, 以及提供经滤波的输出数据的最终计算装置。
    • 70. 发明授权
    • Method and device to determine when to perform hybrid automatic repeat request (HARQ) combination
    • 确定何时执行混合自动重传请求(HARQ)组合的方法和设备
    • US09444601B2
    • 2016-09-13
    • US14364671
    • 2012-04-18
    • Wei ZhangFeng WangDandan GuoMing FangYao Wang
    • Wei ZhangFeng WangDandan GuoMing FangYao Wang
    • H04L5/00H04L25/06H04L1/18H04L29/08
    • H04L5/0053H04L1/1812H04L1/1845H04L1/1874H04L1/1896H04L5/0007H04L25/067H04L67/2842
    • A method for Hybrid Automatic Repeat Request (HARQ) combination is disclosed. The method includes that: externally configured parameters relevant to HARQ combination are received, and an identifier ddr2switch of DDR2 switching is calculated to acquire addresses involved before and after the HARQ combination; it is determined, according to the parameters and the addresses involved before and after the HARQ combination, whether the HARQ combination is needed to be performed; and when it is determined that the HARQ combination is needed to be performed, data in a DDR2 are read and stored into a first data cache random access memory RAMA; and a HARQ combination calculation is performed, and the calculation result is stored into a second data cache random access memory RAMB. A device for HARQ combination is further disclosed. The technical solutions provided in the disclosure are based on a latest interference cancellation algorithm, greatly increase the success probability of decoding, saves the storage space of a DDR2 and improves the reading or writing efficiency.
    • 公开了一种混合自动重传请求(HARQ)组合的方法。 该方法包括:接收与HARQ组合相关的外部配置参数,并且计算DDR2切换的标识符ddr2切换以获取HARQ组合之前和之后涉及的地址; 根据HARQ组合之前和之后的参数和地址确定是否需要执行HARQ组合; 并且当确定需要执行HARQ组合时,读取DDR2中的数据并将其存储到第一数据高速缓存随机存取存储器RAMA中; 并且执行HARQ组合计算,并且将计算结果存储到第二数据高速缓存随机存取存储器RAMB中。 还公开了一种用于HARQ组合的装置。 本公开提供的技术方案基于最新的干扰消除算法,大大提高了解码的成功概率,节省了DDR2的存储空间,提高了读写效率。