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1. 发明授权

US08500644B2 Applying renyi entropy to detect changes in scattering architecture 有权
标题翻译：应用renyi熵来检测散射体系结构的变化
公开(公告)号：US08500644B2
公开(公告)日：2013-08-06
申请号：US13126099
申请日：2009-10-28
申请人： Michael S. Hughes , John McCarthy , Gregory Lanza , Mladen Victor Wickerhauser , Samuel Wickline
发明人： Michael S. Hughes , John McCarthy , Gregory Lanza , Mladen Victor Wickerhauser , Samuel Wickline
IPC分类号： A61B8/00 , G06K9/00
CPC分类号： A61B8/08
摘要： A method for imaging a region of interest (ROI) within a body. The method includes applying ultrasound energy to the ROI, receiving ultrasound data for the ROI in response to the applied ultrasound energy, executing a moving window analysis on the received ultrasound data to generate a plurality of windows of information, applying a Renyi entropy signal receiver to each of the generated windows to generate Renyi entropy data, and presenting an image of the ROI based on the Renyi entropy data.
摘要翻译：用于对身体内的感兴趣区域（ROI）进行成像的方法。该方法包括：将超声能量应用于ROI，响应于所施加的超声波能量接收用于ROI的超声数据，对所接收的超声波数据执行移动窗口分析以产生多个信息窗口，将Renyi熵信号接收机应用于每个生成的窗口生成Renyi熵数据，并且基于Renyi熵数据呈现ROI的图像。

2. 发明申请

US20110208058A1 Applying Renyi Entropy To Detect Changes In Scattering Architecture 有权
标题翻译：应用Renyi熵来检测散射体系结构中的变化
公开(公告)号：US20110208058A1
公开(公告)日：2011-08-25
申请号：US13126099
申请日：2009-10-28
申请人： Michael S. Hughes , John McCarthy , Gregory Lanza , Mladen Victor Wickerhauser , Samuel Wickline
发明人： Michael S. Hughes , John McCarthy , Gregory Lanza , Mladen Victor Wickerhauser , Samuel Wickline
IPC分类号： A61B8/14
CPC分类号： A61B8/08
摘要： A method for imaging a region of interest (ROI) within a body. The method includes applying ultrasound energy to the ROI, receiving ultrasound data for the ROI in response to the applied ultrasound energy, executing a moving window analysis on the received ultrasound data to generate a plurality of windows of information, applying a Renyi entropy signal receiver to each of the generated windows to generate Renyi entropy data, and presenting an image of the ROI based on the Renyi entropy data.
摘要翻译：用于对身体内的感兴趣区域（ROI）进行成像的方法。该方法包括：将超声能量应用于ROI，响应所施加的超声能量接收用于ROI的超声数据，对所接收的超声波数据执行移动窗口分析以产生多个信息窗口，将Renyi熵信号接收机应用于每个生成的窗口生成Renyi熵数据，并且基于Renyi熵数据呈现ROI的图像。

3. 发明授权

US06792073B2 Method and apparatus for radiotherapy treatment planning 失效
标题翻译：放射治疗计划的方法和装置
公开(公告)号：US06792073B2
公开(公告)日：2004-09-14
申请号：US09850533
申请日：2001-05-07
申请人： Joseph O. Deasy , Mladen Victor Wickerhauser
发明人： Joseph O. Deasy , Mladen Victor Wickerhauser
IPC分类号： A61N610
CPC分类号： A61N5/1031 , A61N2005/1034
摘要： A computationally efficient and accurate procedure for calculating radiation dose distributions within a volume of interest in a patient incorporating variations in patient density and source particle energy, position, direction, and type. The procedure iteratively simulates energy depositions from source particles using the Monte Carlo radiation transport method and then applies methods for reducing noise inherent in Monte Carlo results to obtain an accurate and computationally efficient representation of an actual radiation dose distribution compared to that produced by Monte Carlo methods alone. The invention makes an analogy between real measured data and transformed Monte Carlo generated computer data and then applies data denoising techniques to reduce the noise in the Monte Carlo dose images. Conversely, the present invention can produce a dose distribution having a predetermined noise level in a reduced amount of computation time. Denoising techniques can include digital filtering, wavelet denoising, kernel smoothing and non-parametric regression smoothing.
摘要翻译：一种用于计算患者体内感兴趣的辐射剂量分布的计算效率和准确程序，其包括患者密度和源粒子能量，位置，方向和类型的变化。该过程使用蒙特卡罗辐射传输方法迭代地模拟来自源粒子的能量沉积，然后应用用于减少蒙特卡罗结果固有的噪声的方法，以获得与蒙特卡罗方法相比的实际辐射剂量分布的精确和计算上有效的表示单独。本发明在真实测量数据和转换的蒙特卡罗生成的计算机数据之间进行类比，然后应用数据去噪技术来减少蒙特卡洛剂量图像中的噪声。相反，本发明可以在减少的计算时间内产生具有预定噪声水平的剂量分布。去噪技术可以包括数字滤波，小波去噪，内核平滑和非参数回归平滑。

4. 发明授权

US07054454B2 Fast wavelet estimation of weak bio-signals using novel algorithms for generating multiple additional data frames 失效
标题翻译：使用用于生成多个附加数据帧的新算法对弱生物信号进行快速小波估计
公开(公告)号：US07054454B2
公开(公告)日：2006-05-30
申请号：US10113530
申请日：2002-03-29
申请人： Elvir Causevic , Eldar Causevic , Mladen Victor Wickerhauser
发明人： Elvir Causevic , Eldar Causevic , Mladen Victor Wickerhauser
IPC分类号： H04B15/00 , G10L21/02 , G10L19/14
CPC分类号： G06K9/00516 , A61B5/04845 , A61B5/121 , A61B5/7203 , A61B5/726 , G10L21/0208 , G10L25/27 , H03G3/007
摘要： A method and apparatus for de-noising weak bio-signals having a relatively low signal to noise ratio utilizes an iterative process of wavelet de-noising a data set comprised of a new set of frames of wavelet coefficients partially generated through a cyclic shift algorithm. The method preferably operates on a data set having 2N frames, and the iteration is performed N−1 times. The resultant wavelet coefficients are then linearly averaged and an inverse discrete wavelet transform is performed to arrive at the de-noised original signal. The method is preferably carried out in a digital processor.
摘要翻译：用于消除具有相对低的信噪比的弱生物信号的方法和装置利用小波去噪的迭代过程，该数据集包括通过循环移位算法部分产生的新的一组小波系数。该方法优选地对具有2个N帧的数据集进行操作，并且迭代被执行N-1次。然后对所得到的小波系数进行线性平均，并执行逆离散小波变换以得到去噪的原始信号。该方法优选在数字处理器中进行。

5. 发明授权

US07333619B2 Fast wavelet estimation of weak bio-signals using novel algorithms for generating multiple additional data frames 有权
标题翻译：使用用于生成多个附加数据帧的新算法对弱生物信号进行快速小波估计
公开(公告)号：US07333619B2
公开(公告)日：2008-02-19
申请号：US11420862
申请日：2006-05-30
申请人： Elvir Causevic , Eldar Causevic , Mladen Victor Wickerhauser
发明人： Elvir Causevic , Eldar Causevic , Mladen Victor Wickerhauser
IPC分类号： H04B15/00 , G10L21/02 , G10L19/14
CPC分类号： G06K9/00516 , A61B5/04845 , A61B5/121 , A61B5/7203 , A61B5/726 , G10L21/0208 , G10L25/27 , H03G3/007
摘要： A method and apparatus for de-noising weak bio-signals having a relatively low signal to noise ratio utilizes an iterative process of wavelet de-noising a data set comprised of a new set of frames of wavelet coefficients partially generated through a cyclic shift algorithm. The method preferably operates on a data set having 2N frames, and the iteration is performed N−1 times. The resultant wavelet coefficients are then linearly averaged and an inverse discrete wavelet transform is performed to arrive at the de-noised original signal. The method is preferably carried out in a digital processor.
摘要翻译：用于消除具有相对低的信噪比的弱生物信号的方法和装置利用小波去噪的迭代过程，该数据集包括通过循环移位算法部分产生的新的一组小波系数。该方法优选地对具有2个N帧的数据集进行操作，并且迭代被执行N-1次。然后对所得到的小波系数进行线性平均，并执行逆离散小波变换以得到去噪的原始信号。该方法优选在数字处理器中进行。

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