-
公开(公告)号：US08823374B2
公开(公告)日：2014-09-02
申请号：US13326622
申请日：2011-12-15
IPC分类号： G01V3/00 , G01R33/561
CPC分类号： G01R33/5611
摘要： An MR imaging system uses the multiple RF coils for acquiring corresponding multiple image data sets of the slice. An image data processor comprises at least one processing device conditioned for, generating a composite MR image data set representing a single image in a single non-iterative operation by performing a weighted combination of luminance representative data of individual corresponding pixels of the multiple image data sets in providing an individual pixel luminance value of the composite MR image data set. The image data processor reduces noise in the composite MR image data set by generating a reduced set of significant components in a predetermined transform domain representation of data representing the composite image to provide a de-noised composite MR image data set. An image generator comprises at least one processing device conditioned for, generating a composite MR image using the de-noised composite MR image data set.
摘要翻译： MR成像系统使用多个RF线圈来获取切片的相应多个图像数据集。 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：通过执行多个图像数据集合中各个对应像素的亮度代表数据的加权组合来生成在单个非迭代操作中表示单个图像的复合MR图像数据集 提供复合MR图像数据集合的单独像素亮度值。 图像数据处理器通过在表示合成图像的数据的预定变换域表示中生成缩减的重要分量集合来降低复合MR图像数据集中的噪声，以提供去噪复合MR图像数据集。 图像生成器包括至少一个处理装置，该处理装置被调节为使用去噪合成MR图像数据集生成复合MR图像。
-
公开(公告)号：US20120081114A1
公开(公告)日：2012-04-05
申请号：US13326622
申请日：2011-12-15
CPC分类号： G01R33/5611
摘要： An MR imaging system uses the multiple RF coils for acquiring corresponding multiple image data sets of the slice. An image data processor comprises at least one processing device conditioned for, generating a composite MR image data set representing a single image in a single non-iterative operation by performing a weighted combination of luminance representative data of individual corresponding pixels of the multiple image data sets in providing an individual pixel luminance value of the composite MR image data set. The image data processor reduces noise in the composite MR image data set by generating a reduced set of significant components in a predetermined transform domain representation of data representing the composite image to provide a de-noised composite MR image data set. An image generator comprises at least one processing device conditioned for, generating a composite MR image using the de-noised composite MR image data set.
摘要翻译： MR成像系统使用多个RF线圈来获取切片的相应多个图像数据集。 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：通过执行多个图像数据集合中各个对应像素的亮度代表数据的加权组合来生成在单个非迭代操作中表示单个图像的复合MR图像数据集 提供复合MR图像数据集合的单独像素亮度值。 图像数据处理器通过在表示合成图像的数据的预定变换域表示中生成缩减的重要分量集合来降低复合MR图像数据集中的噪声，以提供去噪复合MR图像数据集。 图像生成器包括至少一个处理装置，该处理装置被调节为使用去噪合成MR图像数据集生成复合MR图像。
-
3.发明申请METHODS AND SYSTEMS FOR FAST AUTOMATIC BRAIN MATCHING VIA SPECTRAL CORRESPONDENCE 有权通过光谱相关快速自动脑匹配的方法和系统公开(公告)号：US20110295515A1
公开(公告)日：2011-12-01
申请号：US13107002
申请日：2011-05-13
CPC分类号： A61B5/4064 , A61B5/055 , A61B5/72 , A61B2576/026 , G06T7/33 , G06T2200/04 , G06T2207/10088 , G06T2207/20072 , G06T2207/30016
摘要： Methods and systems determine a correspondence of two sets of data, each data set represents an object. A weighted graph is created from each data set, and a Laplacian is determined for each weighted graph, from which spectral components are determined. The spectral components determine a coordinate of a node in a weighted graph. Nodes of a weighted graph are weighted with a quantified feature related to anode. A coordinate related to a quantified feature of a node is added to the coordinate based on the spectral components. Spectral components related to a weighted graph are reordered to a common ordering. Reordered spectral components related to the first and second data set are aligned and a correspondence is determined. An object may be a brain and a feature may be a sulcal depth. Other objects for which a correspondence may be determined include an electrical network, an image and a social network.
摘要翻译： 方法和系统确定两组数据的对应关系，每个数据集表示一个对象。 从每个数据集创建加权图，并为每个加权图确定拉普拉斯算子，从中确定谱分量。 频谱分量确定加权图中节点的坐标。 加权图的节点用与阳极相关的量化特征进行加权。 基于频谱分量将与节点的量化特征相关的坐标添加到坐标。 与加权图相关的光谱分量重新排列为常见的顺序。 将与第一和第二数据集相关的重新排序的频谱分量对齐，并确定一个对应关系。 物体可以是大脑，并且特征可以是平均深度。 可以确定通信的其他对象包括电网，图像和社交网络。
-
4.发明授权Methods and systems for fast automatic brain matching via spectral correspondence 有权通过频谱对应快速自动脑匹配的方法和系统公开(公告)号：US08965077B2
公开(公告)日：2015-02-24
申请号：US13107002
申请日：2011-05-13
CPC分类号： A61B5/4064 , A61B5/055 , A61B5/72 , A61B2576/026 , G06T7/33 , G06T2200/04 , G06T2207/10088 , G06T2207/20072 , G06T2207/30016
摘要： Methods and systems determine a correspondence of two sets of data, each data set represents an object. A weighted graph is created from each data set, and a Laplacian is determined for each weighted graph, from which spectral components are determined. The spectral components determine a coordinate of a node in a weighted graph. Nodes of a weighted graph are weighted with a quantified feature related to anode. A coordinate related to a quantified feature of a node is added to the coordinate based on the spectral components. Spectral components related to a weighted graph are reordered to a common ordering. Reordered spectral components related to the first and second data set are aligned and a correspondence is determined. An object may be a brain and a feature may be a sulcal depth. Other objects for which a correspondence may be determined include an electrical network, an image and a social network.
摘要翻译： 方法和系统确定两组数据的对应关系，每个数据集表示一个对象。 从每个数据集创建加权图，并为每个加权图确定拉普拉斯算子，从中确定谱分量。 频谱分量确定加权图中节点的坐标。 加权图的节点用与阳极相关的量化特征进行加权。 基于频谱分量将与节点的量化特征相关的坐标添加到坐标。 与加权图相关的光谱分量重新排列为常见的顺序。 将与第一和第二数据集相关的重新排序的频谱分量对齐，并确定一个对应关系。 物体可以是大脑，并且特征可以是平均深度。 可以确定通信的其他对象包括电网，图像和社交网络。
-
公开(公告)号：US09569863B2
公开(公告)日：2017-02-14
申请号：US13958658
申请日：2013-08-05
IPC分类号： G06T11/00 , G01R33/561
CPC分类号： G06T11/003 , G01R33/5611 , G01R33/5616
摘要： A system for accelerated segmented magnetic resonance (MR) image data acquisition includes an RF (Radio Frequency) signal generator and a magnetic field gradient generator. The RF signal generator generates RF excitation pulses in anatomy and enabling subsequent acquisition of associated RF echo data. The magnetic field gradient generator generates magnetic field gradients for anatomical volume selection, phase encoding, and readout RF data acquisition in a three dimensional (3D) anatomical volume. The RF signal generator and the magnetic field gradient generator acquire consecutive segments of k-space line data representative of an individual image slice in a gradient echo method by adaptively varying RF excitation pulse flip angle between acquisition of the consecutive segments.
摘要翻译： 用于加速分段磁共振（MR）图像数据采集的系统包括RF（射频）信号发生器和磁场梯度发生器。 RF信号发生器在解剖学中产生RF激励脉冲，并且能够随后获取相关的RF回波数据。 磁场梯度发生器在三维（3D）解剖体积中产生用于解剖体积选择，相位编码和读出RF数据采集的磁场梯度。 RF信号发生器和磁场梯度发生器通过在采集连续的段之间自适应地改变RF激励脉冲翻转角度，以梯度回波方法获取代表单个图像切片的k空间线数据的连续分段。
-
公开(公告)号：US20140037171A1
公开(公告)日：2014-02-06
申请号：US13958658
申请日：2013-08-05
IPC分类号： G06T11/00
CPC分类号： G06T11/003 , G01R33/5611 , G01R33/5616
摘要： A system for accelerated segmented magnetic resonance (MR) image data acquisition includes an RF (Radio Frequency) signal generator and a magnetic field gradient generator. The RF signal generator generates RF excitation pulses in anatomy and enabling subsequent acquisition of associated RF echo data. The magnetic field gradient generator generates magnetic field gradients for anatomical volume selection, phase encoding, and readout RF data acquisition in a three dimensional (3D) anatomical volume. The RF signal generator and the magnetic field gradient generator acquire consecutive segments of k-space line data representative of an individual image slice in a gradient echo method by adaptively varying RF excitation pulse flip angle between acquisition of the consecutive segments.
摘要翻译： 用于加速分段磁共振（MR）图像数据采集的系统包括RF（射频）信号发生器和磁场梯度发生器。 RF信号发生器在解剖学中产生RF激励脉冲，并且能够随后获取相关的RF回波数据。 磁场梯度发生器在三维（3D）解剖体积中产生用于解剖体积选择，相位编码和读出RF数据采集的磁场梯度。 RF信号发生器和磁场梯度发生器通过在采集连续的段之间自适应地改变RF激励脉冲翻转角度，以梯度回波方法获取代表单个图像切片的k空间线数据的连续分段。
-
-
-
-
-
搜索结果
6 条记录 (耗时 0.021 秒)
