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    • 3. 发明授权
    • Computation of wall thickness
    • 计算壁厚
    • US07353117B2
    • 2008-04-01
    • US10804460
    • 2004-03-19
    • Chun YuanChao HanThomas S. Hatsukami
    • Chun YuanChao HanThomas S. Hatsukami
    • G06F19/00G06K9/34
    • G06T7/0012A61B5/1075G06T7/62G06T7/66G06T17/20G06T2207/30101
    • A method for automatic vessel wall thickness measurement at any point along the perimeter of either luminal or outer vessel wall boundaries. The method employs both Delaunay triangulation and multiresolution tiling. The MaxMin angle property of the Delaunay triangulation is used to define the minimum energy function to calculate thickness. Multiresolution tiling is employed to enable the MaxMin angle lemma to be determined. The triangulation MaxMin angle lemma enables a minimal energy function to be defined based on triangulation angles, providing a stable and consistent geometrical computation. Additional morphological indexes can be assessed to achieve comprehensive quantification of vascular morphology. For example, based on the wall thickness, a set of vascular shape descriptors can be developed to distinguish different types of plaque morphology at different parts of a vessel wall.
    • 一种在管腔或外血管壁边界沿周边的任意点进行血管壁厚测量的方法。 该方法采用Delaunay三角测量和多分辨率平铺。 Delaunay三角测量的MaxMin角度属性用于定义计算厚度的最小能量函数。 采用多分辨率平铺来确定MaxMin角度引理。 三角测量MaxMin角度引理使得能够基于三角测量角度定义最小能量函数,从而提供稳定和一致的几何计算。 可以评估其他形态指标,以实现血管形态的全面定量。 例如,基于壁厚,可以开发一组血管形状描述符,以区分血管壁不同部位的不同类型的斑块形态。
    • 5. 发明授权
    • Automated in vivo plaque composition evaluation
    • 自动体内斑块组成评估
    • US08131336B2
    • 2012-03-06
    • US11445510
    • 2006-06-01
    • Fei LiuWilliam S KerwinDongxiang XuChun Yuan
    • Fei LiuWilliam S KerwinDongxiang XuChun Yuan
    • A61B5/05
    • A61B5/05A61B5/02007A61B5/7264G06T7/12G06T7/143G06T2207/10072G06T2207/30101
    • A method for the automated segmentation of in vivo image data is disclosed. A region of carotid artery in a number of patients was imaged using MRI. Histological data for each imaged region was then obtained, identifying various atherosclerotic plaque components in the imaged region. A portion of the histological data, and the image data, was used to generate PDFs based on image intensity, and on morphological data (local wall thickness and distance from lumen). The remaining data was used to validate the method. A plurality of MRI images were taken at various weightings, and the images were registered and normalized. The lumen and outer wall boundary were identified. The PDFs were combined in a Bayesian analysis with the intensity and morphological data to calculate the likelihood that each pixel corresponded to each of four plaque components. A contour algorithm was applied to generate contours segmenting the images by composition.
    • 公开了一种用于体内图像数据的自动分割的方法。 使用MRI对许多患者的颈动脉区域进行成像。 然后获得每个成像区域的组织学数据,鉴定成像区域中的各种动脉粥样硬化斑块组分。 根据图像强度和形态学数据(局部壁厚和管腔距离),使用部分组织学资料和图像数据生成PDF。 剩余的数据用于验证方法。 以各种重量拍摄多个MRI图像,并对图像进行记录和归一化。 确定了管腔和外壁边界。 将PDF以贝叶斯分析与强度和形态数据组合,以计算每个像素对应于四个斑块组分中的每一个的可能性。 应用轮廓算法,通过组合生成轮廓分割图像。
    • 6. 发明申请
    • Automated in vivo plaque composition evaluation
    • 自动体内斑块组成评估
    • US20080009702A1
    • 2008-01-10
    • US11445510
    • 2006-06-01
    • Fei LiuWilliam S. KerwinDongxiang XuChun Yuan
    • Fei LiuWilliam S. KerwinDongxiang XuChun Yuan
    • A61B5/05
    • A61B5/05A61B5/02007A61B5/7264G06T7/12G06T7/143G06T2207/10072G06T2207/30101
    • A method for the automated segmentation of in vivo image data is disclosed. A region of carotid artery in a number of patients was imaged using MRI. Histological data for each imaged region was then obtained, identifying various atherosclerotic plaque components in the imaged region. A portion of the histological data, and the image data, was used to generate PDFs based on image intensity, and on morphological data (local wall thickness and distance from lumen). The remaining data was used to validate the method. A plurality of MRI images were taken at various weightings, and the images were registered and normalized. The lumen and outer wall boundary were identified. The PDFs were combined in a Bayesian analysis with the intensity and morphological data to calculate the likelihood that each pixel corresponded to each of four plaque components. A contour algorithm was applied to generate contours segmenting the images by composition.
    • 公开了一种用于体内图像数据的自动分割的方法。 使用MRI对许多患者的颈动脉区域进行成像。 然后获得每个成像区域的组织学数据,鉴定成像区域中的各种动脉粥样硬化斑块组分。 根据图像强度和形态学数据(局部壁厚和管腔距离),使用部分组织学资料和图像数据生成PDF。 剩余的数据用于验证方法。 以各种重量拍摄多个MRI图像,并对图像进行记录和归一化。 确定了管腔和外壁边界。 将PDF以贝叶斯分析与强度和形态数据组合,以计算每个像素对应于四个斑块组分中的每一个的可能性。 应用轮廓算法,通过组合生成轮廓分割图像。
    • 7. 发明授权
    • Interleaved black and bright blood dynamic contrast enhanced (DCE) MRI
    • 交错黑色和明亮的血液动态对比度增强(DCE)MRI
    • US09529065B2
    • 2016-12-27
    • US14112135
    • 2012-04-12
    • Jinnan WangHuijun ChenPeter BörnertChun Yuan
    • Jinnan WangHuijun ChenPeter BörnertChun Yuan
    • G01V3/00G01R33/48G01R33/563
    • G01R33/48G01R33/56316G01R33/5635
    • Interleaved black/bright imaging (IBBI) is performed using a magnetic resonance (MR) scanner wherein the black blood module of the IBBI includes: applying a first flow sensitization gradient; applying a spoiler gradient after applying the first flow sensitization gradient; applying a second flow sensitization gradient after applying the spoiler gradient wherein the second flow sensitization gradient has area equal to the first flow sensitization gradient but of opposite polarity; applying a slice selective radio frequency excitation pulse after applying the spoiler gradient; and performing a MR readout after applying the second flow sensitization gradient and after applying the slice selective radio frequency excitation wherein the readout acquires MR imaging data having blood signal suppression in the region excited by the slice selective radio frequency excitation pulse. The MR imaging data having blood signal suppression is reconstructed to generate black blood images, and MR imaging data generated by bright blood modules of the IBBI is reconstructed to generate bright blood images.
    • 使用磁共振(MR)扫描器进行交错黑/亮成像(IBBI),其中IBBI的黑血模块包括:施加第一流感敏化梯度; 在应用第一流感敏化梯度后应用扰流板梯度; 在施加扰流板梯度之后施加第二流动增感梯度,其中第二流动增感梯度具有等于第一流动增感梯度但具有相反极性的面积; 应用扰流板梯度后应用切片选择性射频激励脉冲; 以及在应用所述第二流敏增强梯度之后并且在施加所述切片选择性射频激发之后执行MR读出,其中所述读出器获取在由所述切片选择性射频激励脉冲激发的区域中具有血液信号抑制的MR成像数据。 重建具有血液信号抑制的MR成像数据以产生黑血图像,并且重建由IBBI的亮血模块产生的MR成像数据以产生明亮的血液图像。
    • 8. 发明申请
    • REORDERING DEVICE AND METHOD FOR ETHERNET TRANSMISSION
    • 用于以太网传输的后续设备和方法
    • US20140010237A1
    • 2014-01-09
    • US14005728
    • 2012-02-03
    • Chun YuanZhonglin MiaoXiaoming WangHengqi Liu
    • Chun YuanZhonglin MiaoXiaoming WangHengqi Liu
    • H04L12/801
    • H04L47/34H04L5/1423
    • The disclosure discloses a reordering device and method for Ethernet transmission configured to solve a technical problem of large resource consumption and an the operating frequency failing to meet the requirement of a high-speed system in an existing reordering method. The reordering device provided by the disclosure includes a line sequence detecting module and a line sequence locking module, wherein the line sequence detecting module is configured to detect a line sequence corresponding to each channel, acquire a serial number of the channel and encode the serial number, and send the coded serial number to the line sequence locking module; and the line sequence locking module reorders input data according to the coded serial number received to obtain a reordered data stream, then sends out the reordered data stream, and at the same time, locks a sequence of the reordered data stream. By reordering and locking, the device and method provided by the disclosure can properly recover the sequence of data as soon as possible, thereby enhancing the operating frequency and lowering occupied resources.
    • 本发明公开了一种用于以太网传输的重新排序装置和方法,其被配置为解决大量资源消耗的技术问题,并且操作频率不能满足现有重新排序方法中的高速系统的要求。 由本公开提供的重新排序装置包括线路序列检测模块和线路序列锁定模块,其中线路序列检测模块被配置为检测与每个频道相对应的线路序列,获取频道的序列号并对序列号进行编码 并将编码序列号发送到行序锁定模块; 线路序列锁定模块根据接收到的编码序列号重新排序输入数据,以获得重新排序的数据流,然后发出重新排序的数据流,同时锁定重新排序的数据流的序列。 通过重新排序和锁定,本公开提供的设备和方法可以尽可能地适当地恢复数据序列,从而增强操作频率并降低占用的资源。
    • 10. 发明申请
    • Event-Based Automated Diagnosis of Known Problems
    • 基于事件的自动诊断已知问题
    • US20070061623A1
    • 2007-03-15
    • US11556638
    • 2006-11-03
    • Chun YuanJi-Rong WenWei-Ying MaYi-Min WangZheng Zhang
    • Chun YuanJi-Rong WenWei-Ying MaYi-Min WangZheng Zhang
    • G06F11/00
    • G06F11/079G06F11/0715
    • System events preceding occurrence of a problem are likely to be similar to events preceding occurrence of the same problem at other times or on other systems. Thus, the cause of a problem may be identified by comparing a trace of events preceding occurrence of the problem with previously diagnosed traces. Traces of events preceding occurrences of a problem arising from a known cause are reduced to a series of descriptive elements. These elements are aligned to correlate differently timed but otherwise similar traces of events, converted into symbolic representations, and archived. A trace of events leading to an undiagnosed a problem similarly is converted to a symbolic representation. The representation of the undiagnosed trace is then compared to the archived representations to identify a similar archived representation. The cause of the similar archived representation is presented as a diagnosis of the problem.
    • 发生问题之前的系统事件可能类似于在其他时间或其他系统上出现相同问题的事件。 因此,可以通过将问题发生之前的事件跟踪与先前诊断的迹线进行比较来识别问题的原因。 在已知原因引起的问题发生之前的事件跟踪被简化为一系列描述性元素。 这些元素被对齐以将不同的定时但相似的事件轨迹相关联,转换成符号表示和归档。 类似地导致未定义的问题的事件的轨迹被转换为符号表示。 然后将未确定的跟踪的表示与归档表示进行比较,以识别类似的归档表示。 类似归档表示的原因被提出作为问题的诊断。