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    • 11. 发明申请
    • System for Accelerated Magnetic Resonance Imaging Using Parallel Coils
    • 使用平行线圈加速磁共振成像系统
    • US20130207652A1
    • 2013-08-15
    • US13633908
    • 2012-10-03
    • Daniel WellerLeo GradyLawrence WaldVivek K. Goyal
    • Daniel WellerLeo GradyLawrence WaldVivek K. Goyal
    • G01R33/341G01R33/58
    • G01R33/5611
    • An MR imaging system uses multiple RF coils for acquiring corresponding multiple image data sets of a slice or volume of patient anatomy. An image data processor comprises at least one processing device conditioned for, deriving a first set of weights for weighted combination of k-space data of the multiple image data sets for generating a calibration data set comprising a subset of k-space data of composite image data representing the multiple image data sets. The image data processor uses the calibration data set in generating a first MR image data set, deriving the parameters of a probability distribution in response to the first set of weights and the first MR image data set and deriving a second set of weights and second MR image data set together using the probability distribution.
    • MR成像系统使用多个RF线圈来获取患者解剖结构的切片或体积的相应的多个图像数据集。 图像数据处理器包括至少一个处理装置,该处理装置被调节为:为多个图像数据集的k空间数据的加权组合推导第一组加权,以产生包括合成图像的k空间数据子集的校准数据集 表示多个图像数据集的数据。 图像数据处理器使用校准数据集来生成第一MR图像数据集,响应于第一组权重和第一MR图像数据集导出概率分布的参数并导出第二组权重和第二MR 使用概率分布将图像数据集合在一起。
    • 12. 发明申请
    • SYSTEM AND METHOD FOR DIFFUSE IMAGING WITH TIME-VARYING ILLUMINATION INTENSITY
    • 用于具有时变照明强度的差分成像的系统和方法
    • US20130044213A1
    • 2013-02-21
    • US13572768
    • 2012-08-13
    • Ghulam Ahmed KirmaniVivek K. Goyal
    • Ghulam Ahmed KirmaniVivek K. Goyal
    • H04N7/18
    • G03B39/00G01J1/0437G01J1/08G01J1/4228G03B39/005G06T5/50G06T2207/10152G06T2207/20221
    • Diffuse image measurement system and digital image formation method. The system includes a source of light with time-varying intensity directed at a scene to be imaged. A time-resolved light meter is provided for receiving light reflected from the scene to generate time-resolved samples of the intensity of light incident at the light meter. The temporal variation in the intensity of light incident at the light meter is associated with a function of a radiometric property of the scene, such as a linear functional of reflectance, and a computer processes the samples to construct a digital image. The spatial resolution of the digital image is finer than the spatial support of the illumination on the scene and finer than the spatial support of the sensitivity of the light meter. Using appropriate light sources instead of impulsive illumination significantly improves signal-to-noise ratio and reconstruction quality.
    • 漫射图像测量系统和数字图像形成方法。 该系统包括指向要成像的场景的时变强度的光源。 提供时间分辨的光度计用于接收从场景反射的光,以产生入射在光计上的光的强度的时间分辨的样本。 在光度计处入射的光的强度的时间变化与场景的辐射特性的函数(诸如反射率的线性函数)相关联,并且计算机处理样本以构建数字图像。 数字图像的空间分辨率比现场照明的空间支持更精细,比光度计的灵敏度的空间支持更精细。 使用适当的光源而不是脉冲照明显着提高了信噪比和重建质量。
    • 14. 发明授权
    • Energy-efficient time-stampless adaptive nonuniform sampling
    • 节能时间自适应非均匀采样
    • US09294113B2
    • 2016-03-22
    • US13542070
    • 2012-07-05
    • Soheil Feizi-KhankandiVivek K. GoyalMuriel Médard
    • Soheil Feizi-KhankandiVivek K. GoyalMuriel Médard
    • H03M1/12
    • H03M1/1265
    • Described herein is a sampling system and related sampling scheme. The system and sampling scheme is based upon a framework for adaptive non-uniform sampling schemes. In the system and schemes described herein, time intervals between samples can be computed by using a function of previously taken samples. Therefore, keeping sampling times (time-stamps), except initialization times, is not necessary. One aim of this sampling framework is to provide a balance between reconstruction distortion and average sampling rate. The function by which sampling time intervals can be computed is called the sampling function. The sampling scheme described herein can be applied appropriately on different signal models such as deterministic or stochastic, and continuous or discrete signals. For each different signal model, sampling functions can be derived.
    • 这里描述的是采样系统和相关采样方案。 系统和采样方案基于自适应非均匀采样方案的框架。 在本文描述的系统和方案中,样本之间的时间间隔可以通过使用先前采集的样本的函数来计算。 因此,除了初始化时间之外,不需要保持采样时间(时间戳)。 这个抽样框架的一个目标是提供重建失真和平均采样率之间的平衡。 可以计算采样时间间隔的功能称为采样功能。 本文描述的采样方案可以适当地应用于不同的信号模型,例如确定性或随机的以及连续或离散的信号。 对于每个不同的信号模型,可以导出采样函数。
    • 16. 发明申请
    • Energy-Efficient Time-Stampless Adaptive Nonuniform Sampling
    • 节能时间自适应不均匀采样
    • US20140184273A1
    • 2014-07-03
    • US13542070
    • 2012-07-05
    • Soheil Feizi-KhankandiVivek K. GoyalMuriel Médard
    • Soheil Feizi-KhankandiVivek K. GoyalMuriel Médard
    • H03M1/12
    • H03M1/1265
    • Described herein is a sampling system and related sampling scheme. The system and sampling scheme is based upon a framework for adaptive non-uniform sampling schemes. In the system and schemes described herein, time intervals between samples can be computed by using a function of previously taken samples. Therefore, keeping sampling times (time-stamps), except initialization times, is not necessary. One aim of this sampling framework is to provide a balance between reconstruction distortion and average sampling rate. The function by which sampling time intervals can be computed is called the sampling function. The sampling scheme described herein can be applied appropriately on different signal models such as deterministic or stochastic, and continuous or discrete signals. For each different signal model, sampling functions can be derived.
    • 这里描述的是采样系统和相关采样方案。 系统和采样方案基于自适应非均匀采样方案的框架。 在本文描述的系统和方案中,样本之间的时间间隔可以通过使用先前采集的样本的函数来计算。 因此,除了初始化时间之外,不需要保持采样时间(时间戳)。 这个抽样框架的一个目标是提供重建失真和平均采样率之间的平衡。 可以计算采样时间间隔的功能称为采样功能。 本文描述的采样方案可以适当地应用于不同的信号模型,例如确定性或随机的以及连续或离散的信号。 对于每个不同的信号模型,可以导出采样函数。
    • 17. 发明授权
    • Methods and apparatus for adaptive signal processing involving a Karhunen-Loève basis
    • 涉及Karhunen-Loève基础的自适应信号处理的方法和装置
    • US06993477B1
    • 2006-01-31
    • US09590251
    • 2000-06-08
    • Vivek K. Goyal
    • Vivek K. Goyal
    • G10L21/06
    • G06K9/6247G06F17/14G10L25/48
    • A signal processing device utilizes a stochastic approximation of a gradient descent algorithm for updating a transform. The signal processing device is configured to implement the transform for producing a desired transformed output signal, and the transform is updated using the stochastic approximation of the gradient algorithm based on received data associated with the signal being processed. The transform is represented in a reduced-parameter form, such as a Givens parameterized form or a Householder form, such that the reduced-parameter form for an N×N transform comprises fewer than N2 parameters. The updating process is implemented using computations involving the reduced-parameter form, and an adaptation of the transform is represented directly as one or more changes in the reduced-parameter form. The gradient algorithm may be configured to minimize a negative gradient of a pairwise energy compaction property of the transform. Advantageously, the gradient algorithm may be made locally convergent in mean for a specified step size. The invention can also be implemented in a backward adaptive form in which the updating process is driven by quantized data.
    • 信号处理装置利用梯度下降算法的随机近似来更新变换。 信号处理装置被配置为实现用于产生期望的变换输出信号的变换,并且使用基于与正在处理的信号相关联的接收数据的梯度算法的随机近似来更新变换。 变换以诸如Givens参数化形式或Householder形式的缩减参数形式表示,使得N×N变换的缩减参数形式包括少于N 2 N 2个参数。 使用涉及缩减参数形式的计算来实现更新过程,并且将变换的适应直接表示为缩减参数形式中的一个或多个变化。 梯度算法可以被配置为使变换的成对能量压缩属性的负梯度最小化。 有利地,梯度算法可以对于指定的步长进行局部收敛。 本发明还可以以后向自适应形式实现,其中更新过程由量化数据驱动。