Ge Sensing & Inspection Technologies, Gmbh

General Electric Company

Baker Hughes Holdings LLC

Eberhard Neuser

Alexander Suppes

Nils Rothe

Anja Frost

Michael Hoetter

Peter Michael Edic

Susanne Madeline Lee

Forrest Frank Hopkins

Andreas Schmitt

Alex Sawatzky

Wolfgang Sperner

Vanita Mani

Pavel Pokutnev

Michael Hötter

Alfried Haase

A method for inspecting an object using CT is provided. In an embodiment, the method can include providing an object for an inspection. The object can be provided on a base configured to rotate the object. The method can also include acquiring a first plurality of inspection data characterizing the object during rotation through a first scan sector. The first plurality of inspection data can be acquired by a first inspection chain. The method can further include acquiring a second plurality of inspection data characterizing the object during rotation through a second scan sector. The second plurality of inspection data can be acquired by a second inspection chain. The method can also include providing the first plurality of inspection data and the second plurality of inspection data. Related systems, apparatuses, and non-transitory computer readable mediums are also provided.

Rapid high-resolution computerized tomography

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

Fast industrial computed tomography for large objects

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 cathode element for a microfocus x-ray tube includes a heatable filament formed of a wire for thermionic emission of electrons for generating an electron beam. The filament, in a source area of the electron beam, has an elongate extension in two directions perpendicular to the electron beam.

Cathode element for a microfocus x-ray tube

An apparatus is provided for a micro focus X-ray tube for a high-resolution X-ray including a housing, an electron beam source for generating an electron beam and a focusing lens for focusing the electron beam on a target. The micro focus X-ray tube includes a substantially rotationally symmetrical, ring-shaped cooling chamber configured to circulate a liquid cooling medium.

Microfocus X-ray tube for a high-resolution X-ray apparatus

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

An integrated X-ray source is provided. The integrated X-ray source includes a target for emitting X-rays upon being struck by one or more excitation beams, and one or more total internal reflection multilayer optic devices in physical contact with the target to transmit at least a portion of the X rays through total internal reflection to produce X-ray beams, wherein the optic device comprises an input face for receiving the X rays and an output face through which the X-ray beams exit the integrated X-ray source.

Integrated X-ray source having a multilayer total internal reflection optic device

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.

Inspection system and method for determining three dimensional model of an object

A system for producing at least one high flux photon beam is provided. The system includes two or more photon sources configured to produce photon beams, and at least one first stage optic device coupled to at least one of the photon sources and providing at least one focused photon beam through total internal reflection, wherein at least one of the photon beams and the focused photon beams are combined at a virtual focal spot.

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Wunstorf, Germany

Eberhard Neuser