专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

WO2010073251A3 DENOISING MEDICAL IMAGES 审中-公开
公开(公告)号：WO2010073251A3
公开(公告)日：2010-07-01
申请号：PCT/IL2009/001216
申请日：2009-12-24
申请人： MEDIC VISION - BRAIN TECHNOLOGIES LTD. , BAR-AVIV, Ezer , DEVIR, Zvi , DAHAN, Eliran , KENIG, Tal , ROSMAN, Guy
发明人： BAR-AVIV, Ezer , DEVIR, Zvi , DAHAN, Eliran , KENIG, Tal , ROSMAN, Guy
IPC分类号： G06T5/00 , G06T5/50
摘要： A method of producing a denoised medical image at a specified resolution, comprising: a) denoising an original medical image acquired at a resolution higher than the specified resolution; and b) reducing the resolution of the image, after denoising, to the specified resolution, using a nonlinear resolution reduction procedure that preserves more fine detail in the image than a linear resolution reduction procedure would.

2. 发明申请

WO2009081410A2 NOISE REDUCTION OF IMAGES 审中-公开
标题翻译：噪音减少图像
公开(公告)号：WO2009081410A2
公开(公告)日：2009-07-02
申请号：PCT/IL2008/001679
申请日：2008-12-25
申请人： MEDIC VISION - BRAIN TECHNOLOGIES LTD. , BAR-AVIV, Ezer , DAHAN, Eliran , DEVIR, Zvi , KENIG, Tal , ROSMAN, Guy
发明人： BAR-AVIV, Ezer , DAHAN, Eliran , DEVIR, Zvi , KENIG, Tal , ROSMAN, Guy
IPC分类号： G06T7/40
CPC分类号： G06T5/002 , G06T5/20 , G06T2207/10081 , G06T2207/20036 , G06T2207/30004
摘要： A method of reducing noise in an image, comprising: a) for each pixel being examined in the image, selecting a set of search pixels; b) calculating a value of one or more features of a neighborhood of each search pixel, and a value of corresponding features of a neighborhood of the pixel being examined; and c) calculating a reduced noise grey value for each pixel being examined, based on raw or transformed grey values of its search pixels, with greater sensitivity to those with one or more feature values similar to those of the pixel being examined; wherein calculating the value of at least one feature comprises calculating a characteristic of a distribution of raw or transformed grey values of pixels in the neighborhood, other than a mean grey value of all pixels in the neighborhood.
摘要翻译：一种降低图像噪声的方法，包括：a）对于在图像中检查的每个像素，选择一组搜索像素; b）计算每个搜索像素的邻域的一个或多个特征的值，以及正被检查的像素的邻域的相应特征值; 以及c）基于其搜索像素的原始或变换的灰度值计算被检查的每个像素的降低的噪声灰度值，对具有与所检查的像素的一个或多个特征值相似的特征值具有更高的灵敏度; 其中计算至少一个特征的值包括计算所述邻域中的像素的原始或变换的灰度值的分布的特性，而不是邻域中所有像素的平均灰度值。

3. 发明申请

WO2012001648A2 NON-LINEAR RESOLUTION REDUCTION FOR MEDICAL IMAGERY 审中-公开
标题翻译：医学图像的非线性分辨率降低
公开(公告)号：WO2012001648A2
公开(公告)日：2012-01-05
申请号：PCT/IB2011/052879
申请日：2011-06-30
申请人： MEDIC VISION - IMAGING SOLUTIONS LTD. , BAR-AVIV, Ezer , DAHAN, Eliran , DEVIR, Zvi , KENIG, Tal , ROSMAN, Guy
发明人： BAR-AVIV, Ezer , DAHAN, Eliran , DEVIR, Zvi , KENIG, Tal , ROSMAN, Guy
IPC分类号： B65B3/00
CPC分类号： G06T19/20 , G06T5/002 , G06T11/008 , G06T2207/10081 , G06T2207/10088 , G06T2207/20016 , G06T2207/30016
摘要： A method for generating a three-dimensional (3D) low-resolution image from a 3D high-resolution medical image, reduces resolution in the direction of the slices and the resolution is maintained in the other directions. The 3D high-resolution medical image is a plurality of 2D images having an axial resolution in an axial direction in which the plurality of 2D images were acquired, the method including the steps of: decomposing each of the plurality of 2D images using an invertible band-pass decomposition technique to generate a plurality of transformed data sets, wherein each of the transformed data sets corresponds to one of the plurality of 2D images; weighting each pixel in each of a portion of the transformed data sets within the portion of the transformed data sets using a non-uniform weight vector to generate a plurality of weighted transformed data sets; combining the plurality of weighted transformed data sets for each portion into a single new transformed data set for each portion in a non¬ linear manner; and generating a 3D low-resolution image, having a first resolution in the axial direction, from each of the single new transformed data sets using an inverse of the invertible band-pass decomposition technique, wherein the first resolution in the axial direction of the 3D low-resolution image is lower than or equal to the axial resolution.
摘要翻译：一种用于从3D高分辨率医学图像生成三维（3D）低分辨率图像的方法，减小了切片方向上的分辨率，并且分辨率保持在其它方向上。 3D高分辨率医学图像是在其中获取多个2D图像的轴向方向上具有轴向分辨率的多个2D图像，该方法包括以下步骤：使用可逆带分解多个2D图像中的每一个通过分解技术来生成多个变换数据集，其中每个变换数据集对应于多个2D图像中的一个; 使用不均匀权重向量对所述变换数据集的所述部分内的所述变换数据集中的每一部分中的每个像素进行加权，以生成多个加权变换数据集; 将每个部分的多个加权变换数据集以非线性方式组合成每个部分的单个新变换数据集; 以及使用所述可逆带通分解技术的逆，从所述单个新的变换数据集中的每一个生成具有轴向方向上的第一分辨率的3D低分辨率图像，其中所述3D的轴向方向上的所述第一分辨率低分辨率图像低于或等于轴向分辨率。

4. 发明申请

WO2007099525A2 SYSTEM AND METHOD OF AUTOMATIC PRIORITIZATION AND ANALYSIS OF MEDICAL IMAGES 审中-公开
标题翻译：自动优化系统与方法及医学图像分析
公开(公告)号：WO2007099525A2
公开(公告)日：2007-09-07
申请号：PCT/IL2007/000220
申请日：2007-02-18
申请人： MEDIC VISION - BRAIN TECHNOLOGIES LTD. , BAR-AVIV, Ezer , DAHAN, Eliran , DEVIR, Zvi
发明人： BAR-AVIV, Ezer , DAHAN, Eliran , DEVIR, Zvi
CPC分类号： G16H50/20 , G06F19/00 , G06F19/321 , G06K9/32 , G06K9/46 , G06K9/6206 , G06K2209/053 , G06T7/0012 , G06T7/149 , G06T7/75 , G06T2207/20128 , G06T2207/20161 , G06T2207/30016 , G16H15/00
摘要： A system for analyzing a source medical image of a body organ. The system comprises an input unit for obtaining the source medical image having three dimensions or more, a feature extraction unit that is designed for obtaining a number of features of the body organ from the source medical image, and a classification unit that is designed for estimating a priority level according to the features.
摘要翻译：用于分析身体器官的源医学图像的系统。该系统包括用于获得具有三维或更多维的源医学图像的输入单元，被设计用于从源医学图像获得身体器官的多个特征的特征提取单元，以及被设计用于估计根据功能的优先级。

5. 发明授权

EP2238742B1 NOISE REDUCTION OF IMAGES 有权
标题翻译： RAUSCHMINDERUNG VON BILDERN
公开(公告)号：EP2238742B1
公开(公告)日：2014-05-14
申请号：EP08865813.3
申请日：2008-12-25
申请人： Medic Vision - Brain Technologies Ltd.
发明人： BAR-AVIV, Ezer , DAHAN, Eliran , DEVIR, Zvi , KENIG, Tal , ROSMAN, Guy
IPC分类号： H04N1/38
CPC分类号： G06T5/002 , G06T5/20 , G06T2207/10081 , G06T2207/20036 , G06T2207/30004

6. 发明公开

EP2238742A2 NOISE REDUCTION OF IMAGES 有权
标题翻译：影像降噪
公开(公告)号：EP2238742A2
公开(公告)日：2010-10-13
申请号：EP08865813.3
申请日：2008-12-25
申请人： Medic Vision - Brain Technologies Ltd.
发明人： BAR-AVIV, Ezer , DAHAN, Eliran , DEVIR, Zvi , KENIG, Tal , ROSMAN, Guy
IPC分类号： H04N1/38
CPC分类号： G06T5/002 , G06T5/20 , G06T2207/10081 , G06T2207/20036 , G06T2207/30004
摘要： A method of reducing noise in an image, comprising: a) for each pixel being examined in the image, selecting a set of search pixels; b) calculating a value of one or more features of a neighborhood of each search pixel, and a value of corresponding features of a neighborhood of the pixel being examined; and c) calculating a reduced noise grey value for each pixel being examined, based on raw or transformed grey values of its search pixels, with greater sensitivity to those with one or more feature values similar to those of the pixel being examined; wherein calculating the value of at least one feature comprises calculating a characteristic of a distribution of raw or transformed grey values of pixels in the neighborhood, other than a mean grey value of all pixels in the neighborhood.

7. 发明公开

EP1996959A2 SYSTEM AND METHOD OF AUTOMATIC PRIORITIZATION AND ANALYSIS OF MEDICAL IMAGES 审中-公开
标题翻译：系统公司VERFAHREN ZUR AUTOMATISCHEN PRIORISIERUNG UNDANALYZE MEDISINISCHER BILDER
公开(公告)号：EP1996959A2
公开(公告)日：2008-12-03
申请号：EP07706157.0
申请日：2007-02-18
申请人： Medic Vision - Brain Technologies Ltd.
发明人： BAR-AVIV, Ezer , DAHAN, Eliran , DEVIR, Zvi
IPC分类号： G01T1/02
CPC分类号： G16H50/20 , G06F19/00 , G06F19/321 , G06K9/32 , G06K9/46 , G06K9/6206 , G06K2209/053 , G06T7/0012 , G06T7/149 , G06T7/75 , G06T2207/20128 , G06T2207/20161 , G06T2207/30016 , G16H15/00
摘要： A system for analyzing a source medical image of a body organ. The system comprises an input unit for obtaining the source medical image having three dimensions or more, a feature extraction unit that is designed for obtaining a number of features of the body organ from the source medical image, and a classification unit that is designed for estimating a priority level according to the features.
摘要翻译：用于分析身体器官的源医学图像的系统。该系统包括用于获得具有三维或更多维的源医学图像的输入单元，被设计用于从源医学图像获得身体器官的多个特征的特征提取单元，以及被设计用于估计根据功能的优先级。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式