Universiteit Antwerpen

Imec Vzw

Universiteit Gent

Katholieke Universiteit Leuven

Agfa Healthcare Nv

Agfa Healthcare

Iminds Vzw

Agfa Nv

Jan Sijbers

Wilfried B Vandervorst

Jan De Beenhouwer

Jeroen Cant

Kees Joost Batenburg

Pieter Verboven

Bart Nicolai

Luc Van Hoorebeke

Toon Huysmans

Jan Jozef Victor De Beenhouwer

Mattias Van Dael

Bart Nicolaï

Jelle Dhaene

Linda Plantagie

Ben Jeurissen

Yu-Ting Ling

A method for determining a three-dimensional atomic distribution of a sample having a tip, during an atom probe tomography process. The method accounts for the tip not being axial symmetric and not having a hemispherical shaped apex throughout the evaporation process.

Reconstruction method for atom probe tomography

A computer-implemented method for obtaining dark-field X-ray projection data of an object includes: obtaining a first set of X-ray projection data of the object at a first energy spectrum; the first set of X-ray projection data having a first attenuation component, a first phase component, and a first dark-field component; obtaining a second set of X-ray projection data of the object acquired at a second energy spectrum having a higher effective energy than the first energy spectrum; and extracting the dark-field projection data from the first set of X-ray projection data by the second set of X-ray projection data having a lower dark-field component contribution than the first set of X-ray projection data.

Phase-contrast X-ray imaging system for obtaining a dark-field image and a method therefor

Example embodiments describe a computer implemented method for obtaining parameterized characteristics of a tissue comprising obtaining at least two weighted MRI volume scans of the tissue, and transforming the two weighted MRI volume scans into parameters of a parameterized voxel-based model of the tissue by combined performing, by a super-resolution imaging technique, constructing a volume comprising voxels of the parameterized voxel-based model, and, by a quantitative MRI modelling technique, constructing the parameters for the respective voxels of the parameterized voxel-based model.

Determination of parametrized characteristics of a tissue

A method is provided for inspection of an item comprising acquiring a projection image of the item using a radiation imaging system and obtaining a plurality of simulated projection images of the item or a component thereof, based on a simulation of a numerical three-dimensional model. A relative orientation of the item with respect to the imaging system is determined by comparing the projection image to the plurality of simulated images, and at least one angle of rotation is determined by taking into account a viewing angle and the relative orientation. The method further comprises moving the item and/or the imaging system in accordance with the at least one angle of rotation and acquiring a further projection image of the item.

Item inspection by dynamic selection of projection angle

A method and system for inspection of an item, and a use thereof, are presented. The method comprises acquiring a plurality of projection images of an item at a plurality of projection angles for performing a tomographic reconstruction of the item. A plurality of objects are detected in the tomographic reconstruction and each object has a generic shape described by a parametric three-dimensional numerical model. Said detection comprises determining initial estimates of position and/or orientation of each object and at least one geometrical parameter of the three-dimensional model for each object. The initial estimates are iteratively refining by using a projection-matching approach, in which forward projection images are simulated for the objects according to operating parameters of the radiation imaging device and a difference metric between acquired projection images and simulated forward projection images is reduced at each iteration step.

Item inspection by radiation imaging using an iterative projection-matching approach

A method and system to correct for alignment errors between assumed and actual geometric parameters of an acquisition geometry during image reconstruction in a chest tomosynthesis application includes receiving at least 2 raw projection images acquired on at least 2 different positions in a known acquisition geometry, determining an actual geometric parameter value by determining the minimum of a redundant planes cost function which is calculated for a varying range of the geometric parameter values, and which is determined by: a) at least one plane which intersects an X-ray source trajectory with at least two points, b) an intersection between the planes and a detector surface for which points the source positions are determined, and c) for which the parameters determining the intersection (&#x3bb;, &#x3bc;, l) are used for the construction of the cost function, applying the calculated actual geometric parameter value of the acquisition geometry for the image reconstruction of the plurality of images, characterized in that, a weighting function is applied to the plurality of acquired images prior to calculating the cost function.

Geometric misalignment correction method for chest tomosynthesis reconstruction

A system for imaging a target object comprises a first unmanned vehicle including a source of penetrating radiation. The first vehicle positions the source such as to direct the radiation toward the target object. A second unmanned vehicle comprises an image detector for registering a spatial distribution of the radiation as an image, in which the second vehicle positions the detector to register the distribution of radiation when transmitted through the target object. These unmanned vehicles are autonomous vehicles adapted for independent propelled motion, and comprise a positioning unit for detecting a position of the vehicle. A processing unit controls the motion of the unmanned vehicles to acquire at least two images corresponding to at least two different projection directions of the radiation through the target object. The processing unit is adapted for generating data representative of an internal structure of the target object from the at least two images.

Mobile imaging of an object using penetrating radiation

A non-destructive inspection method for inline inspection of an object comprises moving an object in between a radiation source and an image detector and through a three-dimensional scanner field of view, imaging the object using the image detector to obtain a projection radiograph of an internal structure of the object, scanning an exterior surface of the object using the 3D scanner, fitting a shape model of the object to a point cloud provided by the 3D scanner to obtain a surface model of the exterior surface, creating a solid model of the surface model by taking a grey value distribution of a reference object into account, simulating a reference radiograph from the solid model and comparing the reference and projection radiographs to detect internal deviations of the object.

Automated quality control and selection

A computerized tomographic image exposure and reconstruction method wherein an object is subjected to irradiation during a relative movement of a source of radiation, the object, and a radiation detector and wherein a digital representation of the radiation image of the object is computed by applying a tomographic reconstruction algorithm to image data read out of the irradiated radiation detector. A number of projection images are generated, each of the projection images being generated by integrating X-ray beams continuously emitted during the relative movement through a predefined movement path, and the created projection images are modeled in a tomographic reconstruction algorithm.

Computerized tomographic image exposure and reconstruction method

A method for applying a filter component for an analytical tomographic reconstruction technique, e.g. filtered backprojection, used in tomographic comprises providing an algebraic reconstruction algorithm for reconstructing a spatial representation of a volume of interest from a projection data set. It thereby takes into account a geometry of the tomographic imaging. The method also comprises applying the algebraic reconstruction algorithm to a plurality of virtual projection data sets&#x2014;corresponding with a basis vector of a basis for the projection space&#x2014;to produce a plurality of reconstructed spatial representations and determining the filter component using the plurality of reconstructed spatial representations, and applying the filter. Applying the analytical reconstruction technique with the determined filter component may inherit beneficial properties from the algebraic reconstruction algorithm, e.g. versatility and robustness to noise, without incurring the associated computational cost.

Filter for tomographic reconstructions

A method for determining a projection angle for use in tomographic imaging comprises obtaining projection data including at least one projection view from at least one projection angle. The at least one projection view is generated by scanning a test object with a tomographic imaging device. Each projection view comprises at least one observation value obtained at least one detection location, providing a plurality of candidate projection angles, for each candidate projection angle, calculating a function value indicative of an amount of information that may be gained by adding to the projection data a further projection view generated by scanning of the test object with the tomographic imaging device from the candidate projection angle, and selecting a candidate projection angle from the plurality of candidate projection angles taking into account the function values. A corresponding system and computer program product also is provided.

Dynamic tomography angle selection

Methods of cylindrical surface parameterization, such as colon flattening are provided for parameterizing tubular surfaces onto a cylinder, wherein the length of the cylinder is modified so that parameterization distortion is reduced.

Growing community of inventors

Duffel, Belgium

Jan Sijbers