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    • 2. 发明申请
    • 3D-ORIGINATED CARDIAC ROADMAPPING
    • 3D原版CARDIAC ROADMAPPING
    • US20130116551A1
    • 2013-05-09
    • US13810292
    • 2011-07-15
    • Raoul FlorentVincent AuvrayMichael GrassDirk SchaeferGert Schoonenberg
    • Raoul FlorentVincent AuvrayMichael GrassDirk SchaeferGert Schoonenberg
    • A61B6/02
    • A61B6/022A61B6/12A61B6/4441A61B6/463A61B6/487A61B6/504A61B6/5223A61B6/5235A61B2090/364A61B2090/367
    • The present invention relates to 3D-originated cardiac roadmapping. In order to improve the accuracy of the information provided to the user as navigation information, without any additional burden to the patient such as additional X-ray dose, a method is described comprising the steps of a) providing 3D+t image data of a vascular structure of an object; b) acquiring two-dimensional image data of the object, which object comprises the vascular structure, the 2D image data comprising at least one 2D image; c) projecting the vascular structure, thereby generating a plurality of mask images on the basis of a 3D+t image data; d) registering the at least one 2D image with one of the plurality of the mask images, wherein the registration comprises finding the maximum of a similarity factor between the mask images and the at least one 2D image; e) generating a combination of the at least one 2D image and a projection of the vascular structure on the basis of the 3D+t image data according to the registration; and f) displaying the combination as a guiding vessel tree projection. Thus improved cardiac roadmapping in form of a topographical roadmapping is provided since the roadmapping is based on three-dimensional data.
    • 本发明涉及3D起源的心脏路线图。 为了提高作为导航信息提供给用户的信息的准确性,对病人没有任何额外的负担,例如额外的X射线剂量,描述了一种方法,其包括以下步骤:a)提供一个 物体的血管结构; b)获取所述对象的二维图像数据,所述对象包括所述血管结构,所述2D图像数据包括至少一个2D图像; c)投影血管结构,从而基于3D + t图像数据生成多个掩模图像; d)使用所述多个掩模图像之一登记所述至少一个2D图像,其中所述注册包括找到所述掩模图像与所述至少一个2D图像之间的相似性因子的最大值; e)根据所述注册,基于所述3D + t图像数据生成所述至少一个2D图像和所述血管结构的投影的组合; 以及f)将组合显示为引导血管树投影。 因此,由于路线图基于三维数据,所以提供了形成路面图的形式的改进的心脏路线图。
    • 4. 发明申请
    • ADAPTIVE ROADMAPPING
    • 自适应路线
    • US20130322724A1
    • 2013-12-05
    • US13810680
    • 2011-07-15
    • Raoul FlorentVincent AuvrayMichael GrassDirk SchaeferGert Schoonenberg
    • Raoul FlorentVincent AuvrayMichael GrassDirk SchaeferGert Schoonenberg
    • G06T7/00
    • G06T7/0012A61B6/12A61B6/463A61B6/487A61B6/504A61B6/5235A61B90/37A61B2090/364A61B2090/365A61B2090/3764G06T7/32G06T19/00G06T2207/10121G06T2207/30101
    • The invention relates to adaptive roadmapping providing improved information to the user, comprising the following steps: providing pre-navigation image data representing at least a part of a vascular structure comprising a tree-like structure with a plurality of sub-trees; generating a vessel representation on the basis of pre-navigation image data; acquiring live image data of the object, which object comprises the vascular structure; wherein the vascular structure contains an element of interest; determining spatial relation of the pre-navigation image data and the live image data; analysing the live image data by identifying and localizing the element in the live image data; determining a sub-tree in which the element is positioned, wherein the determining is based on the localization of the element and on the spatial relation; and selecting a portion of the vascular structure based on the determined sub-tree; generating a combination of the live image data and an image of the selected portion of the vascular structure; and displaying the combination as a tailored roadmap. The element may be physical object, for example an interventional tool or device.
    • 本发明涉及向用户提供改进信息的自适应路线图,包括以下步骤:提供表示包括具有多个子树的树状结构的血管结构的至少一部分的导航前图像数据; 基于导航前图像数据生成船舶表示; 获取对象的实时图像数据,该对象包括血管结构; 其中所述血管结构含有感兴趣的元件; 确定所述导航前图像数据和实况图像数据的空间关系; 通过识别和定位实时图像数据中的元素来分析实况图像数据; 确定所述元素所在的子树,其中所述确定基于所述元素的定位和所述空间关系; 以及基于所确定的子树选择所述血管结构的一部分; 生成活体图像数据和血管结构的所选部分的图像的组合; 并将该组合显示为定制的路线图。 该元件可以是物理对象,例如介入工具或设备。
    • 5. 发明申请
    • SPATIAL CHARACTERIZATION OF A STRUCTURE LOCATED WITHIN AN OBJECT BY IDENTIFYING 2D REPRESENTATIONS OF THE STRUCTURE WITHIN SECTION PLANES
    • 通过识别部分平面中的结构的二维表示,在对象中定位的结构的空间特征
    • US20100099979A1
    • 2010-04-22
    • US12444057
    • 2007-09-20
    • Gert SchoonenbergOnno WinkBabak Movassaghi
    • Gert SchoonenbergOnno WinkBabak Movassaghi
    • A61B5/05G06K9/62G01N23/04
    • G06T7/0012G06T19/00G06T2207/30101G06T2219/008
    • It is described a virtual pullback as a visualization and quantification tool that allows an interventional cardiologist to easily assess stent expansion. The virtual pullback visualizes the stent and/or the vessel lumen similar to an Intravascular Ultrasound (IVUS) pullback. The virtual pullback is performed in volumetric data along a reference line. The volumetric data can be a reconstruction of rotational 2D X-ray attenuation data. Planes perpendicular to the reference line are visualized as the position along the reference line changes. This view is for interventional cardiologists a very familiar view as they resemble IVUS data and may show a section plane through a vessel lumen or a stent. In these perpendicular section planes automatic measurements, such as minimum and maximum diameter, and cross sectional area of the stent can be calculated and displayed. Combining these 2D measurements allows also volumetric measurements to be calculated and displayed.
    • 它被描述为虚拟回拉作为可视化和量化工具,允许介入心脏病专家轻松评估支架扩张。 虚拟回拉可视化与血管内超声(IVUS)回撤相似的支架和/或血管腔。 沿着参考线的体积数据执行虚拟回调。 体积数据可以是旋转2D X射线衰减数据的重建。 垂直于参考线的平面可视化为沿着参考线的位置发生变化。 这种观点对于介入心脏病专家来说非常熟悉,因为它们类似于IVUS数据,并且可以通过血管腔或支架显示剖面。 在这些垂直截面中,可以计算和显示自动测量,例如支架的最小和最大直径以及横截面面积。 结合这些2D测量,还可以计算和显示体积测量。