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    Method and System for Efficient Extraction of a Silhouette of a 3D Mesh
    12.
    发明申请
    Method and System for Efficient Extraction of a Silhouette of a 3D Mesh 有权
    一种3D网格剪影效率提取的方法与系统

    公开(公告)号：US20120069017A1

    公开(公告)日：2012-03-22

    申请号：US13235802

    申请日：2011-09-19

    申请人： Yefeng Zheng ,  Yu Pang ,  Rui Liao ,  Matthias John ,  Jan Boese ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    发明人： Yefeng Zheng ,  Yu Pang ,  Rui Liao ,  Matthias John ,  Jan Boese ,  Shaohua Kevin Zhou ,  Dorin Comaniciu

    IPC分类号： G06T17/00

    CPC分类号： G06T17/20 ,  G06T7/12 ,  G06T7/181

    摘要： A method and system for extracting a silhouette of a 3D mesh representing an anatomical structure is disclosed. The 3D mesh is projected to two dimensions. Silhouette candidate edges are generated in the projected mesh by pruning edges and mesh points based on topology analysis of the projected mesh. Each silhouette candidate edge that intersects with another edge in the projected mesh is split into two silhouette candidate edges. The silhouette is extracted using an edge following process on the silhouette candidate edges.

    摘要翻译： 公开了一种用于提取表示解剖结构的3D网格的轮廓的方法和系统。 3D网格投影到两个维度。 通过基于投影网格的拓扑分析修剪边缘和网格点，在投影网格中生成剪影候选边缘。 与投影网格中的另一边缘相交的每个剪影候选边缘被分割成两个轮廓候选边缘。 使用轮廓候选边缘上的边缘跟随过程提取轮廓。

    Method and System for Generating a Personalized Anatomical Heart Model
    16.
    发明申请
    Method and System for Generating a Personalized Anatomical Heart Model 有权
    生成个性化解剖心脏模型的方法和系统

    公开(公告)号：US20100070249A1

    公开(公告)日：2010-03-18

    申请号：US12562454

    申请日：2009-09-18

    申请人： Razvan Ionasec ,  Bogdan Georgescu ,  Yefeng Zheng ,  Dorin Comaniciu

    发明人： Razvan Ionasec ,  Bogdan Georgescu ,  Yefeng Zheng ,  Dorin Comaniciu

    IPC分类号： G06G7/60 ,  G06F7/60 ,  G06F17/10

    CPC分类号： G06K9/6256 ,  G06F19/00 ,  G06F19/321 ,  G06K2209/051 ,  G06T7/12 ,  G06T7/149 ,  G06T13/20 ,  G06T17/00 ,  G06T2207/30048 ,  G06T2210/41 ,  G16H50/50

    摘要： A method and system for generating a patient specific anatomical heart model is disclosed. Volumetric image data, such as computed tomography (CT) or echocardiography image data, of a patient's cardiac region is received. Individual models for multiple heart components, such as the left ventricle (LV) endocardium, LV epicardium, right ventricle (RV), left atrium (LA), right atrium (RA), mitral valve, aortic valve, aorta, and pulmonary trunk, are estimated in said volumetric cardiac image data. A patient specific anatomical heart model is generated by integrating the individual models for each of the heart components.

    摘要翻译： 公开了一种用于产生患者特异性解剖心脏模型的方法和系统。 接收患者心脏区域的体积图像数据，例如计算机断层扫描（CT）或超声心动图像数据。 用于多个心脏组件的单独模型，例如左心室（LV）心内膜，LV心外膜，右心室（RV），左心房（LA），右心房（RA），二尖瓣，主动脉瓣，主动脉和肺动脉干， 在所述体积心脏图像数据中估计。 患者特异性解剖心脏模型是通过对每个心脏部件的各个模型进行整合来产生的。

    Method and system for measuring left ventricle volume
    17.
    发明申请
    Method and system for measuring left ventricle volume 有权
    测量左心室体积的方法和系统

    公开(公告)号：US20090080745A1

    公开(公告)日：2009-03-26

    申请号：US12228911

    申请日：2008-08-18

    申请人： Yefeng Zheng ,  Bogdan Georgescu ,  Michael Scheuering ,  Dorin Comaniciu

    发明人： Yefeng Zheng ,  Bogdan Georgescu ,  Michael Scheuering ,  Dorin Comaniciu

    IPC分类号： G06K9/00

    CPC分类号： G06T7/62 ,  G06T7/11 ,  G06T2207/10081 ,  G06T2207/30048

    摘要： A method and system for measuring the volume of the left ventricle (LV) in a 3D medical image, such as a CT, volume is disclosed. Heart chambers are segmented in the CT volume, including at least the LV endocardium and the LV epicardium. An optimal threshold value is automatically determined based on voxel intensities within the LV endocardium and voxel intensities between the LV endocardium and the LV epicardium. Voxels within the LV endocardium are labeled as blood pool voxels or papillary muscle voxels based on the optimal threshold value. The LV volume can be measured excluding the papillary muscles based on the number of blood pool voxels, and the LV volume can be measured including the papillary muscles based on the total number of voxels within the LV endocardium.

    摘要翻译： 公开了一种用于测量3D医学图像（例如CT）体积中的左心室（LV）的体积的方法和系统。 心室在CT体积中分段，至少包括LV心内膜和LV心外膜。 基于LV心内膜内的体素强度和LV心内膜与LV心外膜之间的体素强度自动确定最佳阈值。 基于最佳阈值将LV心内膜内的体素标记为血池体素或乳头肌肉体素。 基于血液池体素的数量可以除去乳头肌之外的LV体积，并且可以基于LV心内膜中的体素总数来测量LV体积，包括乳头肌。

    System and method for detecting an object in a high dimensional space
    18.
    发明授权
    System and method for detecting an object in a high dimensional space 有权
    用于检测高维空间中的对象的系统和方法

    公开(公告)号：US08009900B2

    公开(公告)日：2011-08-30

    申请号：US11856208

    申请日：2007-09-17

    申请人： Adrian Barbu ,  Yefeng Zheng ,  Jing Yang ,  Bogdan Georgescu ,  Dorin Comaniciu

    发明人： Adrian Barbu ,  Yefeng Zheng ,  Jing Yang ,  Bogdan Georgescu ,  Dorin Comaniciu

    IPC分类号： G06K9/00 ,  G06K9/62

    CPC分类号： G06K9/6292

    摘要： A system and method for detecting an object in a high dimensional image space is disclosed. A three dimensional image of an object is received. A first classifier is trained in the marginal space of the object center location which generates a predetermined number of candidate object center locations. A second classifier is trained to identify potential object center locations and orientations from the predetermined number of candidate object center locations and maintaining a subset of the candidate object center locations. A third classifier is trained to identify potential locations, orientations and scale of the object center from the subset of the candidate object center locations. A single candidate object pose for the object is identified.

    摘要翻译： 公开了一种用于检测高维图像空间中的对象的系统和方法。 接收对象的三维图像。 在对象中心位置的边缘空间中训练第一分类器，其生成预定数量的候选对象中心位置。 训练第二分类器以从预定数量的候选对象中心位置识别潜在对象中心位置和方向，并维护候选对象中心位置的子集。 训练第三分类器以从候选对象中心位置的子集中识别对象中心的潜在位置，方向和尺度。 识别对象的单个候选对象姿势。