Abstract: An adaptive roadmapping device and method for examination of an object include providing pre-navigation image data representing part of the object being a vascular structure including an element of interest and having a tree-like structure with a plurality of sub-trees; generating a vessel representation based on the pre-navigation image data; acquiring live image data of the object; determining spatial relation of the pre-navigation image data and the live image data; analyzing 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, where the determining is based on the localization of the element and on the spatial relation; 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.

Abstract: A 3D-originated cardiac roadmapping device and method include providing 3D+t image data of a vascular structure of an object; acquiring 2D image data of the object that includes the vascular structure, where the 2D image data includes at least one 2D image. The method further includes projecting the vascular structure, thereby generating mask images based on the 3D+t image data; and registering the at least one 2D image with one of the mask images. The registration includes finding the maximum of a similarity factor between the mask images and the at least one 2D image. The method further includes generating a combination of the at least one 2D image and a projection of the vascular structure based on the 3D+t image data according to the registration; and displaying the combination as a guiding vessel tree projection.

Abstract: 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 vasc

Abstract: The present invention relates to 3D-originated cardiac roadmapping.

Abstract: 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.