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

In a method and an evaluation device for the evaluation of projection data of an object being examined, which are determined along a trajectory in a multiplicity of projection positions relative to a co-ordinate origin, a particular trajectory function is determined for the projection positions, for each of a multiplicity of positions from a reconstruction region of dimension n by establishing an offset (d) and a direction vector at the co-ordinate origin, establishing a hyperplane of dimension n−1 which runs perpendicular to the direction vector and has an offset to the co-ordinate origin, establishing a number of intersection points where the hyperplane intersects the trajectory, establishing a derivative vector of the trajectory according to its trajectory path and calculating the derivative vector in the projection position, and establishing an absolute value of a scalar product between the derivative vector and the position and dividing the absolute value by the number. The determined trajectory functions are transformed to a frequency domain of dimension n and the projection data are evaluated by means of the transformed trajectory functions.

The present disclosure relates to the field of a cabinet x-ray incorporating an x-ray tube, an x-ray detector, and an optical camera for the production of organic and non-organic images. The computing device receives data including video data from an optical camera, a laser detector, an infrared detector, an ultrasonic detector, or a weight scale or pressure sensor, and determines automatically, based on the resultant data, if a sample/specimen has been left in the sample chamber. In particular, the disclosure relates to a system and method with corresponding apparatus for automatic detection if a sample/specimen has been left in the sample chamber without having to open the chamber door.

The present invention relates to a method for reconstructing an image and an apparatus using the same Particularly, according to the method of the present invention, when a series of first slice images of a subject are inputted in a computing device, the computing device generates, from the first slice images, second slice images having a second slice thickness different from a first thickness, which is the slice thickness of the first slice image, and provides the generated second slice images.

The present disclosure is related to methods and systems for image reconstruction including accelerated forward transformation with an Artificial Neural Network (ANN).

A tomographic method of determining a 3D map of a charge collection efficiency in a volume of investigation of a sample and an apparatus for performing the method. The sample has a charge carrier selecting structure and the method comprises the steps of: Arranging the sample in a beam path of a probe beam, wherein the probe beam propagates in a beam-direction which defines an axis in a laboratory frame coordinate system, Scanning the volume of investigation with an analyzing spot of the probe beam and simultaneously measuring the beam induced current and/or voltage, wherein a position of the sample arranged on a sample stage is defined by the coordinates z, y and r and a value of the beam induced current and/or voltage is determined for every position of the sample during the scanning action and Assigning every coordinate point (z, y, r) in the laboratory frame coordinate system, at which the analyzing spot of the probe beam hits the sample to a value of the beam induced current and/or voltage, which is measured for this point (z, y, r), reconstructing the 3D map of the charge collection efficiency by processing the values of the beam induced current and/or voltage determined for the coordinates (z, y, r) in the laboratory frame coordinate system with a tomographic image reconstruction algorithm so as to determine the 3D map of the charge collection efficiency in a coordinate system of the sample.

The present disclosure relates to a system, method and storage medium for generating an image. At least one processor, when executing instructions, may perform one or more of the following operations. When raw data is received, a plurality of iterations may be implemented. During each iteration, a first voxel value relating to a first voxel in an image is calculated; at least a portion of a second voxel may be continuously changed with respect to at least a portion of the first voxel value; the image may be transformed to a projection domain to generate an estimated projection based on the first voxel value and the second voxel value; a projection error may be obtained based on the estimated projection and the raw data; and the image may be corrected or updated based on the projection error.

The present disclosure directs to a system and method for CT imaging. The method may include acquiring computed tomography (CT) data, wherein the CT data is generated by scanning a subject using a CT scanner, the CT scanner including a focal spot and a detector, and the detector including a plurality of detector units. The method may also include obtaining a forward projection model and a back projection model, wherein the forward projection model and the back projection model are associated with sizes of the detector units and a size of the focal spot of the CT scanner. The method may further include reconstructing a CT image of the subject iteratively based on the CT data, the forward projection model, and the back projection model.

A method for rapid reconstruction of a woven composite material microstructure based on topological features is provided. First, geometric modeling is performed according to the topological features of fiber bundles and matrix in a woven composite structure, then the topological features are identified on the basis of a μ-computed tomography (CT) sequence image, the change laws of the features are extracted, and finally, a geometric model is reconstructed to complete the modeling of a microstructure. Compared with the structure modeling method based on weaving process parameters, the consistency between the reconstructed model and a real woven structure is improved, facilitating the improvement of the accuracy of the subsequent calculation of the mechanical properties of the material; and compared with the method for structure reconstruction directly on the basis of a μCT image, a tedious point cloud data process is simplified and calculation costs are greatly reduced.

The present invention relates to a three-dimensional reconstructing method of a 2D medical image. A three-dimensional reconstructing device includes: a communicator for receiving sequential 2D images with an arbitrary slice gap; a sliced image generator for generating at least one sliced image positioned between the 2D images based on a feature point of the adjacent 2D images; and a controller for reconstructing the 2D image into a 3D image by use of the generated sliced image and providing the 3D image.