11.
    发明专利
    未知

    公开(公告)号:DE602006003077D1

    公开(公告)日:2008-11-20

    申请号:DE602006003077

    申请日:2006-03-09

    Abstract: The invention relates to a method and a device for the iterative reconstruction of cross-sectional images of the heart (7) of a patient based on projections (P1, . . . P5) from different directions which are for example generated with a helical cone-beam CT scanner. A cardiac weight function (f) quantifies how near the projections (P1, . . . ) are to a given observation phase (To) of the heart cycle based on simultaneously recorded electrocardiographic signals (ECG). The whole set of projections (P1, . . . ) is divided into subsets (S1, . . . ) which each contain only projections corresponding to a similar cardiac weight (f), and an iterative reconstruction algorithm like ART uses in one update or iteration step all projections of such a subset (S1, . . . ) simultaneously.

    12.
    发明专利
    未知

    公开(公告)号:DE60322673D1

    公开(公告)日:2008-09-18

    申请号:DE60322673

    申请日:2003-01-30

    Abstract: The invention relates to a computed tomography method in which an examination zone is irradiated from two mutually offset, preferably circular trajectories. In an intermediate region the absorption distribution is reconstructed by means of measuring values from both trajectories, the weight with which the measuring values are used being larger as the distance between the voxel to be reconstructed and the relevant trajectory is smaller.

    Producing 4D image data records of moving tubular structure involves recording 3D central line points projected into second 2D images to obtain 2D central line points, iterating for more phases

    公开(公告)号:DE10247832A1

    公开(公告)日:2004-04-22

    申请号:DE10247832

    申请日:2002-10-14

    Abstract: The method involves determining central 2D central line points in 2D projection images of a first movement phase, modeling first 3D central line points in the same phase, projecting the first 3D central line points into second 2D images of a second phase, recording the 3D central line points projected into the second 2D images to obtain 2D central line points, iterating, determining the profile in the 2D images and reconstructing 3D images. The method involves determining central 2D central line points in at least two 2D projection images acquired in the same first movement phase (S1), modeling first 3D central line points in the same first phase (S2), projecting the first 3D central line points into at least two second 2D images acquired in a second phase (S3), recording the 3D central line points projected into the second 2D images to obtain 2D central line points (S4), iterating for more phases, determining the profile of the tubular structure element in the 2D images (S6) and reconstructing 3D images in different phases (S7). Independent claims are also included for the following: (a) an arrangement for producing four-dimensional image data records of a moving tubular structure (b) a computer program with a computer program arrangement for causing a computer to implement the inventive method.

    SEQUENTIAL COMPUTED TOMOGRAPHY METHOD

    公开(公告)号:AU2003202731A1

    公开(公告)日:2003-09-02

    申请号:AU2003202731

    申请日:2003-01-30

    Abstract: The invention relates to a computed tomography method in which an examination zone is irradiated from two mutually offset, preferably circular trajectories. In an intermediate region the absorption distribution is reconstructed by means of measuring values from both trajectories, the weight with which the measuring values are used being larger as the distance between the voxel to be reconstructed and the relevant trajectory is smaller.

    ITERATIVE RECONSTRUCTION OF POLYHEDRAL OBJECTS FROM FEW PROJECTIONS
    19.
    发明申请
    ITERATIVE RECONSTRUCTION OF POLYHEDRAL OBJECTS FROM FEW PROJECTIONS 审中-公开
    用多项投影迭代重建多面体物体

    公开(公告)号:WO2009083864A3

    公开(公告)日:2009-10-29

    申请号:PCT/IB2008055348

    申请日:2008-12-16

    CPC classification number: G06T11/006 G06T17/20

    Abstract: A method for fully automatic modelling of medical structures with homogeneous attenuation function from few projections is provided. The object of interest is modelled as a polyhedron with triangular surface mesh. The optimization of both the coordinates of the polyhedral model and the attenuation value of the polyhedral model is performed during a data reconstruction. This results in an attenuation value together with a three-dimensional surface model of the physical structure imaged. Combining several polyhedral models into one compound model, the method may allow for fully automatic modelling of medical structures with piecewise constant attenuation function.

    Abstract translation: 提供了一种从少量投影的全自动建模具有均匀衰减功能的医学结构的方法。 感兴趣的对象被建模为具有三角形表面网格的多面体。 在数据重建期间执行多面体模型的坐标和多面体模型的衰减值的优化。 这导致衰减值与成像的物理结构的三维表面模型一起。 将多个多面体模型组合成一个复合模型,该方法可以允许使用分段恒定衰减功能的医学结构的全自动建模。

    PROJECTION-BASED REMOVAL OF HIGH-CONTRAST OBJECTS
    20.
    发明申请
    PROJECTION-BASED REMOVAL OF HIGH-CONTRAST OBJECTS 审中-公开
    基于投影的高对比度物体的去除

    公开(公告)号:WO2009024894A2

    公开(公告)日:2009-02-26

    申请号:PCT/IB2008053229

    申请日:2008-08-12

    Abstract: A system (900) and method for automatic projection-based removing of high-contrast artificial objects from a medical image is provided. The method comprises performing a low-pass filtering (1100) to the two-dimensional image (100, 500, 1000) using a filter width range (1110) corresponding to structures of a line-shaped artificial object to generate a low-pass filtered intensity image and performing an evaluation of the Hessian matrix of each pixels of the low-pass filtered intensity image for locating and enhancing the structure of the line-shaped artificial object to generate a multi-scale filtered intensity image, wherein predefined scaling widths are used in order to avoid the locating and enhancing of larger structures.

    Abstract translation: 提供了一种用于从医学图像自动投影去除高对比度人造物体的系统(900)和方法。 该方法包括使用对应于线状人造物体的结构的滤波器宽度范围(1110)对二维图像(100,500,1000)进行低通滤波(1100),以生成低通滤波 强度图像,并对低通滤波强度图像的每个像素的Hessian矩阵进行评估,以定位和增强线状人造物体的结构,以生成多尺度滤波强度图像,其中使用预定义的缩放宽度 以避免更大的结构的定位和增强。

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