Abstract:
The invention proposes a 3D reconstruction of a body and a body contour from transversally truncated projections using a polyhedral object model. Possible clinical applications arise in the field of guided biopsies on acquisition systems equipped with a flat panel detector, where truncated projections cannot be avoided in thorax and abdominal scan protocols. From, for example, a rotational run both a 3D volume reconstruction and a surface mesh reconstruction of a patient's shape is generated and then visualized simultaneously in order to help the physician guide the biopsy device and judge the distance from the patient's skin to the tissue of interest inside the reconstructed volume.
Abstract:
A method and an apparatus for acquiring 3-dimensional images of coronary vessels (11), particularly of coronary veins, is proposed. 2-dimensional X-ray images (13) are acquired within a same phase of a cardiac motion. Then, a 3-dimensional centerline model (15) is generated based on these 2-dimensional images. From 2-dimensional projections of the centerline model into respective projection planes, the local diameters (w) of the vessels in the projection plane can be derived. Having the diameters, a 3-dimensional hull model of the vessel system can be generated and, optionally, 4-dimensional information about the vessel movement can be derived.
Abstract:
The present invention relates to thermoplastic vulcanizates (TPVs) based on low Mooney, optionally hydrogenated nitrile butadiene rubber and polyamides. The present invention also relates to TPVs based on low Mooney, optionally, hydrogenated nitrile terpolymers and polyamides. TPVs prepared according to the present invention have improved morphology, smaller rubber particle size, and improved processability compared to TPVs containing non-low Mooney, optionally hydrogenated nitrile butadiene rubber.
Abstract:
The analysis of a stenosis of a coronary vessel in three dimensions requires a motion compensated reconstruction. According to an exemplary embodiment of the present invention, an examination apparatus for local motion compensated reconstruction data set is provided, wherein the local motion compensated reconstruction vectors relating to a start point and an end point of the stenosis.
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:
A method and apparatus are provided to reconstruct projection data obtained from CT imaging devices with offset detector geometries. According to one aspect of the present invention, a method is provided to reconstruct projection data obtained from CT imaging devices with offset detector geometries that includes the following steps: (i) matching projection data measured at opposing sides of the acquisition trajectory and splicing them together to generate a full, non-truncated projection data set; (ii) differentiation of the projection data; (iii) filtering the differentiated projection data with a filter, such as for example a Hilbert filter; (iv) applying redundancy weighting to the filtered projection data; and (v) back-projecting the redundancy weighted projection data to generate image data.
Abstract:
Computed tomography (CT) reconstruction includes reconstructing an axially extended reconstructed image from a measured cone beam x-ray projection data set (Pm), optionally having an off-center geometry. The reconstructing is performed for an extended volume (eFOV) comprising a reconstructable volume (rFOV) of the measured cone beam x ray data set that is extended along the axial direction. The projection data set may be weighted in the volume domain. Iterative reconstruction may be used, including initializing a constant volume and performing one or more iterations employing a first iterative update followed by one or more iterations employing a second, different iterative update. Alternatively, backprojection filtration (BPF) reconstruction may be used, including transforming the projection data set to a new geometry including finite differences between neighboring projection views and performing BPF using Hilbert filtering along a plurality of different directions and averaging the resultant reconstructed images to generate the final reconstructed image.
Abstract:
The present invention relates to an apparatus for generating an image of a moving object, wherein a movement of the object comprises a multiple of moving phases. The apparatus comprises a measured detection data providing unit (20) for providing measured detection data of the moving object, which have been detected by using a detection process and which are assigned to the moving phases. The apparatus comprises further a reconstruction unit (13) for reconstructing an image object of the object from the provided measured detection data and an adaptation unit (18) for adapting the image object for different moving phases such that simulated detection data are adapted to the measured detection data of the respective moving phase, wherein the simulated detection data are determined by simulating the detection process, which has been used for detecting the measured detection data assigned to the respective moving phase, with the image object.
Abstract:
The present invention relates to an image reconstruction device and a corresponding method for reconstructing a 3D image of an object (7) from projection data of said object (7). In order to obtain 3D images having sharp high-contrast structures and almost no image blur, and in which streak artifacts (and noise in tissue-like regions) are strongly reduced, an image reconstruction device is proposed comprising: a first reconstruction unit (30) for reconstructing a first 3D image of said object (7) using the original projection data, an interpolation unit (31) for calculating interpolated projection data from said original projection data, —a second reconstruction unit (32) for reconstructing a second 3D image of said object (7) using at least the interpolated projection data, a segmentation unit (33) for segmentation of the first or second 3D image into high-contrast and low-contrast areas, a third reconstruction unit (34) for reconstructing a third 3D image from selected areas of said first and said second 3D image, wherein said segmented 3D image is used to select image values from said first 3D image for high-contrast areas and image values from said second 3D image for low-contrast areas.
Abstract:
A method for generating or reconstruction of three-dimensional (3D) images corresponding to a structure of interest (60) including: acquiring a plurality of image projections corresponding to a structure of interest (60); applying a shape model (66) at a selected 3D seed point (64); and adapting the shape model (66) to represent the structure of interest (60), yielding an adapted shape model. A system for generation and reconstruction of three-dimensional (3D) images. The system (10) includes: an imaging system (12) configured to provide projection data corresponding to a structure of interest (60); and a controller (50) in operable communication with the imaging system (50). The controller (50) is configured to: receive the projection data, (64); apply a shape model (66) at a selected 3D seed point (64); and adapt the shape model (66) to represent the structure of interest (60), thereby yielding an adapted shape model.