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3-D multimodal cardiac data superimposition using 2-D image registration and 3-D reconstruction from multiple views

机译:使用2-D图像配准和多视图的3-D重建的3-D多模态心脏数据叠加

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Tomoscintigraphy (3-D data representing the myocardium perfusion) and coronarography (X-ray image sequences acquired from several viewpoints and providing information about the coronary artery tree state) are widespread examinations used standardly for the diagnosis of cardiovascular diseases. Currently, the data of both examinations are separately analyzed by the specialists who are often not able to visually link the information of the two modalities. The aim of this work is to facilitate the diagnosis by providing the specialist with 3-D representations highlighting the relationship between stenoses (artery narrowing, disease cause) and perfusion defaults (muscle necrosis, consequence). In such representations, the structure of a schematic artery tree and the stenosis positions are 3-D reconstructed and set onto the perfusion volume. The reconstruction algorithm starts with the projection of the perfusion volume on planes parallel to the X-ray images. In this way, 2-D tomographic images are generated for each viewpoint of the coronarography. The borders of the myocardium shadow visible in the X-ray images are then segmented with an active contour method. These contours are registered with their homologuous structures from the corresponding 2-D tomographic images. The geometrical transformations obtained for each coronarographic viewpoint are used to place artery points marked by cardiologists in the X-ray images (stenoses, artery beginnings, ends and bifurcations) in their corresponding positions in the tomographic images. Finally, the schematic artery tree is set on the perfusion volume using the homologous points of the different viewpoints and a parallel projection model. The main advantage of this method is that the clinical acquisition protocols remain unchanged, no calibration of the acquisition systems being needed. Results are given for a phantom and a database of patients in order to validate the proposed method.
机译:体层摄影术(代表心肌灌注的3-D数据)和冠状动脉造影术(从多个角度获取并提供有关冠状动脉树状状态的信息的X射线图像序列)是诊断心血管疾病的标准检查方法。当前,两种检查的数据由通常不能在视觉上链接这两种方式的信息的专家分别分析。这项工作的目的是通过为专家提供3D表示来突出诊断狭窄(动脉狭窄,疾病原因)和灌注缺损(肌肉坏死,后果)之间的关系,从而促进诊断。在这样的表示中,示意性的动脉树的结构和狭窄位置被3-D重建并设置在灌注体积上。重建算法从在与X射线图像平行的平面上投影灌注量开始。以这种方式,针对冠状动脉造影的每个视点生成二维断层图像。然后使用主动轮廓法对X射线图像中可见的心肌阴影的边界进行分割。这些轮廓与其对应的二维断层图像的同源结构对齐。从每个冠状图视点获得的几何变换都用于将心脏科医师标记的动脉点放置在X射线图像中(狭窄,动脉的起点,末端和分叉处)在层析图像中的相应位置。最后,使用不同视点的同源点和平行投影模型在灌注量上设置示意性的动脉树。该方法的主要优点是临床采集方案保持不变,无需校准采集系统。给出了幻像和患者数据库的结果,以验证所提出的方法。

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