Abstract: A method for scanning a target object is provided. The method includes generating a scanning path including source poses at which a target object is scanned by a scanning source. The method also includes moving the target object along the scanning path and emitting a beam towards a region of interest (ROI) on the target object at each source pose. The method further includes receiving data characterizing the ROI based on the emitted beam and generating scanning data representing a geometrical position and an orientation of the ROI of the target object for each source pose. Pose information can be extracted based on the source poses and a 3D model of the target object can be reconstructed using the pose information and the scanning data and provided for display. Related systems and non-transitory computer readable mediums are also provided.

Abstract: A method for detecting structures is provided. The method can include receiving inspection image data characterizing a region of interest of an object being inspected. The regions of interest can include one or more structures of the object. The method can also include determining, using a computer vision algorithm, a structure within the region of interest with respect to photometric properties of pixel data in the inspection image data. The structure can be determined using a predictive model trained to determine image filter parameter values for image filters of the computer vision algorithm based on applying optimization techniques using training image data and annotation data. An indication of the structure can be provided, for example for display or storage in memory. Systems and computer-readable mediums implementing the method are also provided.

Abstract: 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.

Abstract: 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 (50). A scatter image is calculated by subtracting the second image from the first image. The apertures (48) in the scatter reducing plate (50) are arranged hexagonally in order to optimise the packaging density of the apertures.

Abstract: 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.

Abstract: 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.

Abstract: 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 (50). A scatter image is calculated by subtracting the second image from the first image. The apertures (48) in the scatter reducing plate (50) are arranged hexagonally in order to optimise the packaging density of the apertures.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: Aspects of the invention provide a solution for analyzing an object, such as a part of a turbo machine. A planar surface is generated using a curved reformat function based on a surface of a three-dimensional (3D) image of an object. A peel of the 3D image that is adjacent to the surface is determined. Based on the peel, a second planar surface is generated. These two, and/or other similarly generated planar surfaces can be analyzed to determine characteristics of the original object.

Abstract: 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.

Abstract: 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.

Abstract: Embodiments of the systems and methods of this disclosure utilize different positions, or poses, of a target object to collect images that can result in high-resolution volumetric models of the target object. In one embodiment, the object poses define a lateral position and an axial position (also “angular orientation”) of the target object relative to components of an imaging system, e.g., the source of the x-ray beam. The imaging system captures an image of the target object in the object poses. Further processing of the image data that relates to the images generates a volumetric model of the target object at higher resolution, or with fewer artifacts, as compared to similar volumetric models that arise from conventional scanning of these large parts.

Abstract: Aspects of the invention provide a solution for analyzing an object, such as a part of a turbo machine. A planar surface is generated using a curved reformat function based on a surface of a three-dimensional (3D) image of an object. A peel of the 3D image that is adjacent to the surface is determined. Based on the peel, a second planar surface is generated. These two, and/or other similarly generated planar surfaces can be analyzed to determine characteristics of the original object.

Abstract: 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.