公开(公告)号：US20100312090A1

公开(公告)日：2010-12-09

申请号：US12783327

申请日：2010-05-19

申请人： William S. Kerwin ,  Dongxiang Xu ,  Chun Yuan

发明人： William S. Kerwin ,  Dongxiang Xu ,  Chun Yuan

IPC分类号： A61B5/055 ,  A61B8/00 ,  A61B5/00 ,  G06K9/00

CPC分类号： G06T7/0012 ,  A61B5/02007 ,  A61B5/055 ,  A61B5/06 ,  A61B6/03 ,  A61B6/12 ,  A61B8/0833 ,  G06T2207/10072 ,  G06T2207/10132 ,  G06T2207/20068 ,  G06T2207/30101

摘要： A novel technique directed toward risk assessment of a patient's plaque vulnerability, wherein clinical events may be caused by internal plaque components affecting a lumen within an artery. A surface area projection or shadow of one or more plaque components onto a lumen can be measured and assessed. Optionally, a total volume projection onto the lumen can also be measured and assessed to refine the determination of risk to a patient and to monitor the progression of atherosclerosis over time.

摘要翻译： 一种针对患者斑块脆弱性的风险评估的新技术，其中临床事件可能由影响动脉内腔的内部斑块成分引起。 可以测量和评估一个或多个斑块组分到管腔上的表面积投影或阴影。 任选地，还可以测量和评估对管腔的总体积投影，以便细化对患者的风险的确定并监测动脉粥样硬化随时间的进展。

公开(公告)号：US08131336B2

公开(公告)日：2012-03-06

申请号：US11445510

申请日：2006-06-01

申请人： Fei Liu ,  William S Kerwin ,  Dongxiang Xu ,  Chun Yuan

发明人： Fei Liu ,  William S Kerwin ,  Dongxiang Xu ,  Chun Yuan

IPC分类号： A61B5/05

CPC分类号： A61B5/05 ,  A61B5/02007 ,  A61B5/7264 ,  G06T7/12 ,  G06T7/143 ,  G06T2207/10072 ,  G06T2207/30101

摘要： 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.

摘要翻译： 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。

公开(公告)号：US20080009702A1

公开(公告)日：2008-01-10

申请号：US11445510

申请日：2006-06-01

申请人： Fei Liu ,  William S. Kerwin ,  Dongxiang Xu ,  Chun Yuan

发明人： Fei Liu ,  William S. Kerwin ,  Dongxiang Xu ,  Chun Yuan

IPC分类号： A61B5/05

CPC分类号： A61B5/05 ,  A61B5/02007 ,  A61B5/7264 ,  G06T7/12 ,  G06T7/143 ,  G06T2207/10072 ,  G06T2207/30101

摘要： 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.

摘要翻译： 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。

公开(公告)号：US20110245650A1

公开(公告)日：2011-10-06

申请号：US12753502

申请日：2010-04-02

申请人： William S. Kerwin ,  Hui Hu ,  Dongxiang Xu ,  Michael George Hartmann

发明人： William S. Kerwin ,  Hui Hu ,  Dongxiang Xu ,  Michael George Hartmann

IPC分类号： A61B5/05 ,  G06K9/62

CPC分类号： G01R33/5635 ,  A61B6/504 ,  A61B6/5217 ,  A61B8/0891 ,  A61B8/5223 ,  G01R33/4835 ,  G01R33/5602 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/174 ,  G06T2207/10088 ,  G06T2207/20101 ,  G06T2207/20161 ,  G06T2207/30101 ,  G16H50/30

摘要： A method and system for in-vivo characterization of lesion feature is disclosed. Using a non-invasive medical imaging apparatus, an image of an interior region of a patient's body is obtained. The interior region may include lesion feature (such as plaques) components from a list of components. The lesion feature components are identified by classifying each point in the image as either corresponding to one of the lesion feature components in the list of components or not, using image intensity information and image morphology information, a first relationship (such as an intensity score) correlating image intensity information with the components in the list of components and a second relationship (such as a morphology score) correlating image morphology information with the components in the list of components. Further, a variety of lesion feature characteristics is derived from the result of the classification.

摘要翻译： 公开了一种用于病变特征的体内表征的方法和系统。 使用非侵入性医学成像装置，获得患者身体的内部区域的图像。 内部区域可以包括来自组件列表的病变特征（例如斑块）组分。 通过使用图像强度信息和图像形态信息，第一关系（例如强度分数）将图像中的每个点分类为与组件列表中的一个病变特征成分相对应，来识别病变特征成分， 将图像强度信息与分量列表中的分量相关联，以及将图像形态信息与分量列表中的分量相关联的第二关系（诸如形态分数）。 此外，从分类的结果导出各种损伤特征。