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1. 发明授权

US07894664B2 Conditional shape model for image processing 有权
标题翻译：用于图像处理的条件形状模型
公开(公告)号：US07894664B2
公开(公告)日：2011-02-22
申请号：US11690063
申请日：2007-03-22
申请人： William S. Kerwin , Hunter R. Underhill
发明人： William S. Kerwin , Hunter R. Underhill
IPC分类号： G06K9/62
CPC分类号： G06K9/00 , G06K9/6209 , G06K2209/05
摘要： A conditional active shape model wherein a training set of images of objects in a class of objects to be identified, such as vascular cross-sections, is supplemented with training observations of at least one second characteristic of the object. A conditional mean shape of the objects is calculated, conditioned on the second characteristic, thereby reducing the size of the probable search space for the shape. A conditional covariance matrix of the shapes is calculated, conditioned on the second characteristic, and the eigenvectors of the conditional covariance matrix corresponding to largest eigenvalues are calculated. The conditional mean shape, and the eigenvalues and eigenvectors of the conditional covariance matrix are then used in an active shape model to identify the shapes of objects in subsequent images.
摘要翻译：条件活动形状模型，其中要识别的对象类别（例如血管横截面）中的对象的训练集合被补充有对象的至少一个第二特征的训练观察。根据第二特性计算对象的条件平均形状，从而减小形状的可能搜索空间的大小。根据第二特性计算形状的条件协方差矩阵，并计算对应于最大特征值的条件协方差矩阵的特征向量。条件平均形状，条件协方差矩阵的特征值和特征向量然后用于活动形状模型中，以识别后续图像中对象的形状。

2. 发明申请

US20100312090A1 ATHEROSCLEROSIS RISK ASSESSMENT BY PROJECTED VOLUMES AND AREAS OF PLAQUE COMPONENTS 审中-公开
标题翻译：预计体积和面积组成部分的风险评估风险评估
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。

3. 发明授权

US4037368A Method for deflashing small parts 失效
标题翻译：粉碎小零件的方法
公开(公告)号：US4037368A
公开(公告)日：1977-07-26
申请号：US567185
申请日：1975-04-11
申请人： William S. Kerwin , John Rodney Nelson , Hans Robert Toll
发明人： William S. Kerwin , John Rodney Nelson , Hans Robert Toll
IPC分类号： B24B31/06 , B29C37/02 , B24B1/00
CPC分类号： B29C37/02 , B24B31/06
摘要： Apparatus for removal of flash from small molded plastic and rubber parts, including a specially configured cryogenic shaking vessel and support and drive means for imparting a reciprocating rotational movement thereto. In the preferred embodiment the generally elongated shaker vessel has rounded ends and bottom, and the vessel is oscillated about an axis perpendicular to the longitudinal axis of the vessel, so that a maximum mixing of the product and the deflashing media, which may be sharply pointed objects such as chrome plated tacks, occurs within the shaking vessel.
摘要翻译：用于从小的模制塑料和橡胶部件去除闪光的装置，包括专门构造的低温摇动容器以及用于对其进行往复旋转运动的支撑和驱动装置。在优选实施例中，大体上细长的摇动器容器具有圆形端部和底部，并且容器围绕垂直于容器的纵向轴线的轴线振荡，使得产品和可能尖锐尖锐的粉碎介质的最大混合诸如镀铬钉的物体发生在震动容器内。

4. 发明申请

US20110245650A1 Method and System for Plaque Lesion Characterization 审中-公开
标题翻译：斑块病变表征的方法与系统
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。

5. 发明授权

US07340083B2 Method and system for atherosclerosis risk scoring 有权
标题翻译：动脉粥样硬化风险评分方法与系统
公开(公告)号：US07340083B2
公开(公告)日：2008-03-04
申请号：US11172415
申请日：2005-06-29
申请人： Chun Yuan , Thomas S. Hatsukami , Renu Virmani , Jianming Cai , William S. Kerwin , Marina S. Ferguson
发明人： Chun Yuan , Thomas S. Hatsukami , Renu Virmani , Jianming Cai , William S. Kerwin , Marina S. Ferguson
IPC分类号： G06K9/00 , G06F7/60 , G06F17/10
CPC分类号： G06T7/0012 , A61B5/02007 , A61B5/055 , A61B5/7275 , A61B6/504 , A61B8/0833 , G06F19/00 , G06T2207/30101
摘要： A method for characterizing the risk associated with atherosclerosis is disclosed. The method uses one or more images of cross-sections of the artery or other vessel of interest to identify and locate components of the atherosclerotic deposit, including any hemorrhage, necrotic core, and calcification, and to determine the status and composition of the fibrous cap. In one embodiment, high resolution MRI images are utilized, although other imaging modalities may alternatively be used. A simple scoring system is applied that accounts for the presence of these components and more heavily weights the presence of these components in the juxtaluminal portion of the deposit. The status of the fibrous cap (intact or ruptured) and the composition of the fibrous cap (collagen or mixed tissue) are also incorporated into a final atherosclerosis risk score.
摘要翻译：公开了描述与动脉粥样硬化相关的风险的方法。该方法使用动脉或其他所需血管的横截面的一个或多个图像来识别和定位动脉粥样硬化沉积物的组分，包括任何出血，坏死核心和钙化，并确定纤维帽的状态和组成。在一个实施例中，利用了高分辨率MRI图像，但是也可以使用其它成像模式。应用一个简单的评分系统来解释这些组件的存在，并且更重地将这些组件的存在权重存放在存款的两个部分中。纤维帽（完整或破裂）的状态和纤维帽（胶原蛋白或混合组织）的组成也被纳入最终的动脉粥样硬化风险评分。

6. 发明申请

US20080009702A1 Automated in vivo plaque composition evaluation 有权
标题翻译：自动体内斑块组成评估
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。

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