A computer tomography scanner (102) includes a radiation source (112) configured to emit x-ray radiation, a detector array (116) configured to detect x-ray radiation and generate a signal indicative thereof, and a reconstructor (118) configured to reconstruct the signal and generate sequential spares time line perfusion volumetric image data. The computer tomography scanner further includes a processor (132) configured to process the sequential spares time line perfusion volumetric image data using a trained neural network of a perfusion data enhancing module (136) to produce sequential dense time line perfusion volumetric image data.

A method of estimating artifacts in 3D imaging by providing a 3D mask representing an object. X-rays of an X-ray source-detector pair are simulated through the object in a plurality of projection positions of the X-ray source-detector pair moving along a pregiven trajectory. An artifact value is assigned to each voxel of a 3D artifact image depending on respective path lengths of the X-rays through the 3D mask. Visualizing a respective artifact map for a current C-arm tilt enables an interactive optimization of a C-arm tilt.

Systems and methods for transforming three-dimensional computed tomography (CT) data into two dimensional images are provided. Such a method is provided including retrieving three-dimensional CT imaging data, where the three-dimensional CT imaging data comprises projection data acquired from a plurality of angles about a central axis. Once the three-dimensional CT imaging data is retrieved, the imaging data is processed as a three-dimensional image and the method proceeds to generate a two-dimensional image by tracing rays from a simulated radiation source outside of the three-dimensional image. The two-dimensional image is then presented to a user as a simulated X-Ray.

An image processing apparatus includes a CPU. The CPU acquires a series of a plurality of projection images or a plurality of tomographic images obtained by performing tomosynthesis imaging by irradiating a breast with radiation having a first energy; acquires a plurality of normal two-dimensional images captured by irradiating the breast with radiation having a second energy, which is higher than the first energy, a plurality of times; calculates, for each of the plurality of normal two-dimensional images, a virtual projection position, which is a position at which the breast is virtually projected during the tomosynthesis imaging, from a position of a radiation source in a case in which the normal two-dimensional image is captured; generates a composite two-dimensional image from the plurality of projection images or the plurality of tomographic images based on the virtual projection position calculated for each of the plurality of normal two-dimensional images; and generates a difference image between each of the plurality of normal two-dimensional images and each of the composite two-dimensional images generated for each of the plurality of normal two-dimensional images.

A system and method for producing a computed tomography (CT) medical image includes receiving x-rays passing through an object with a photon-counting detector system, which includes a plurality of detector pixels configured to generate a photon-counting signal in response to receiving each photon of the x-rays having passed through the object. The method also includes summing a charge associated with each photon received at a given detector pixel of the plurality of pixels to generate a charge integration signal, utilizing the charge integration signal to correct a count of the photon-counting signal for pileup-induced count losses to create a corrected photon-counting signal, and reconstructing an image of the object using the corrected photon-counting signal.

A method for operating an X-ray facility for recording a three-dimensional (3D) image data set of a target area of a patient is provided. A recording arrangement including an X-ray detector and an X-ray source may be rotated about an axis of rotation for recording two-dimensional projection images based on the image data set. A model instance of a parameterizable patient model that is patient-specific and 3D is determined. Target area information describing the target area is determined in the model instance from default information. At least two at least partially different partial recording areas of the target area are determined from the target area information. The partial recording areas cover the target area along the axis of rotation. One projection image set is recorded for each of the partial recording areas, and the image data set is reconstructed from the projection image sets.

The present disclosure provides methods and systems for X-ray imaging. The methods may include obtaining pre-scan imaging data relating to a target section of a target subject. The methods may include determining, based on the pre-scan imaging data, a chord length of at least one chord of the target section. The methods may also include determining, based on the chord length of the at least one chord of the target section, exposure parameters to be used by the X-ray imaging device in a target scan of the target subject. The methods may further include reconstructing a target image of the target subject based on scan data collected by the X-ray imaging device in the target scan.

Methods and systems for signal processing in molecular imaging. The system may include at least one storage device including a set of instructions and at least one processor in communication with the storage device. The at least one processor may obtain a first signal that is acquired by sampling, according to a first sampling frequency, an electrical signal of a detector. The at least one processor may also generate, based on the first signal and a target machine learning model, a second signal, the second signal corresponding to a second sampling frequency that is different from the first sampling frequency. The target machine learning model may specify a target mapping between the first signal and the second signal. The at least one processor may further generate an image based on the second signal.