Ge Sensing & Inspection Technologies, Gmbh

General Electric Company

Baker Hughes Oilfield Operations LLC

Ge Inspection Technologies, Gmbh

Waygate Technologies Usa, LP

Nils Rothe

Alexander Suppes

Eberhard Neuser

Anja Frost

Michael Hoetter

Alex Sawatzky

Andreas Fischer

Pavel Pokutnev

Eugen Trapet

Michael Hötter

Systems and methods for scatter correction of x-ray images are provided. A scatter image of an object can be corrected using partial-scatter free images acquired using an aperture plate. The plate is positioned between an object and a radiation detector and includes apertures in a grid. The original x-rays pass through the apertures and scattered x-rays can be blocked by the aperture plate. The aperture plate can be moved to different positions, allowing partial scatter-free images to be acquired at each position of the aperture plate. A full scatter-free image can be generated by combining partial scatter-free images. The scatter and scatter-free images can be further used to train scatter correction models.

Scatter correction for computed tomography imaging

A system for computed tomography inspection can include a stage, a stationary radiation source, a stationary radiation detector, and a controller. The stage can secure a target thereon and rotate about a rotation axis. The radiation source can emit a beam of penetrating radiation from a focal point that is directed upon a portion of the target. The radiation detector can include a sensing face configured to acquire measurements of radiation beam intensity incident thereon as a function of position. The controller can command the stage to translate from a first position to a second position in a direction transverse to a central axis of the radiation beam. A magnification of the target at the first and second positions can be approximately equal. The stage does not translate transverse to the central axis of the radiation beam during measurement of the radiation beam intensity by the detector.

Fast industrial computed tomography for large objects

Systems and methods for non-destructive testing by computed tomography are provided. The system can include a stationary radiation source, a stage, and a plurality of stationary radiation detectors. The source can be configured to emit, from a focal point, a beam of penetrating radiation having a three-dimensional geometry and to direct the beam in a path incident upon a target. The stationary radiation source can be positioned with respect to the plurality of stationary radiation detectors and the stage such that, a first plurality of beam segment paths is defined between the focal point and respective sensing faces of the plurality of radiation detectors and at least one second beam segment path is defined between the focal point and a predetermined gap.

Fast industrial, computed tomography for large objects

Scatter correction for tomography: for each position, two images are acquired, a first image without and a second image with a scatter reducing aperture plate (). A scatter image is calculated by subtracting the second image from the first image. The apertures () in the scatter reducing plate () are arranged hexagonally in order to optimise the packaging density of the apertures.

Imaging system and method with scatter correction

A method for imaging an object is presented. The method includes acquiring a first projection image of the object using a source and a detector, positioning a scatter rejecting aperture plate between the object and the detector, and acquiring a second projection image of the object with the scatter rejecting aperture plate disposed between the object and the detector. A scatter image of the object is generated based on the first projection image and the second projection image, and stored for subsequent imaging. A volumetric CT system for imaging an object is also presented. The system is configured to acquire a plurality of projection images of the object from a plurality of plurality of projection angles.

Method and apparatus are provided for calibration or verification of accuracy specification of a computed tomographic system. In one embodiment, the apparatus can include a base structure, a first set of test objects arranged along a first axis and coupled to the base structure, and a second set of test objects arranged along a second axis and coupled to the base structure. The first set of test objects and the second set of test objects have a first geometry. The apparatus can also include a third set of test objects and a fourth set of test objects. The third set of test objects, and the fourth set of test objects have a second geometry different from the first geometry. Locations of the first, second third and fourth set of test objects are spatially fixed with respect to the base structure. The apparatus is a test specimen adapted for calibration or accuracy verification of computed tomography system.

Computed tomographic system calibration

A method of using computed tomography for determining a volumetric representation of a sample, involving a first reconstruction for reconstructing first reconstructed volume data of the sample from first x-ray projection data of the sample taken by an x-ray system, a second reconstruction for reconstructing second reconstructed volume data of the sample from second x-ray projection data of the sample taken by an x-ray system, characterized by calculating first individual confidence measures for single voxels of the first reconstructed volume data, calculating second individual confidence measures for single voxels of the second reconstructed volume data, and calculating, in a subsequent step, at least one resulting set of individual values for each voxel based on the first individual confidence measures and the second individual confidence measures.

Computed tomography method, computer software, computing device and computed tomography system for determining a volumetric representation of a sample

A method and system for imaging an object are described herein. A scatter image of the object is generated at a projection angle. In generating the scatter image, a non-grid image of the object is acquired using a radiation source and a detector. An aperture plate is positioned between the object and the detector and a first grid image of the object is acquired. The aperture plate includes a plurality of apertures positioned on a grid. The aperture plate is moved to a second position and a second grid image of the object is acquired. A scatter image of the object is generated based on the non-grid image, the first grid image, and the second grid image and stored.

A method and system for determining geometric imaging properties of a flat panel detector in an x-ray inspection system are described herein. The method can include arranging a calibration phantom between an x-ray source and the flat panel detector, the calibration phantom including at least one discrete geometric object. Additionally, the method can include recording at least one x-ray image of the calibration phantom with the flat panel detector. At least one discrete geometric shape is generated in the x-ray image by imaging the at least one discrete geometric object of the calibration phantom. Further, the method can include determining a location-dependent distortion error of the flat panel detector from the at least one x-ray image on the basis of at least one characteristic of the at least one discrete geometric shape. All characteristics of the at least one discrete geometric shape used for determining the location-dependent distortion error are independent of the dimensions of the calibration phantom.

Method for determining geometric imaging properties of a flat panel detector, correspondingly adapted X-ray inspection system and calibration phantom

A computed tomography method for determining a volumetric representation of a sample comprising reconstruction initial volume data of the sample from x-ray projections of the sample taken by an x-ray system, determining a part of the reconstructed initial volume data to be updated, and executing an iterative update process configured to generate, using an iterative reconstruction method, updated volume data only for the part of the volume data determined to be updated. Determining the part of the sample volume to be updated comprises individually evaluating every single voxel in the reconstructed initial volume data, based on available quality information for the reconstructed initial volume data, whether or not the voxel fulfils a predetermined condition indicating that an update is required for the voxel, and the iterative update process generates the updated volume data only for the voxels which have been determined that an update is required.

Computed tomography method, and system

A method for determining confidence values for volume units includes acquiring real projections of an object in a tomography system, reconstructing an image of the object from the real projections, generating artificial projections, for each volume unit comparing the real projections with the artificial projections and generating a confidence measure for each of the volume units.

System and method for determining confidence measurements of single volume elements in computer tomography

A computed tomography method for determining a volumetric representation of a sample comprises using reconstructed volume data of the sample from x-ray projections of the sample taken by an x-ray system, computing a set of artificial projections of said sample by a forward projection from said reconstructed volume data, and determining, essentially from process data of said reconstruction including said reconstructed volume data and/or said x-ray projections, individual confidence measures for single voxels of said volume data based on calculating, for each of said measured x-ray projections, the difference between the contribution of this measured x-ray projection to the voxel under inspection and the contribution from a corresponding artificial projection to the voxel under inspection.

Embodiments of a system and method are described that automate processes to reconstruct models from two-dimensional images. In one embodiment, the systems comprise an apparatus that can acquire a plurality of images of an object and automatedly form a boundary about the object in each of the images. The boundary highlights a portion of the image that will form the basis for the model. The apparatus can also select a primary image from the images, wherein the boundary in the primary image is narrowest relative to an axis that is common to each of the images. In one example, the apparatus can select a secondary image, which is perpendicular to the primary image, and reconstruct the primary image and the second image to generate the model.

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Hannover, Germany

Nils Rothe