A system and method include acquisition of a plurality of event data associated with an object, each of the plurality of event data associated with a position and a time, assigning of each event data to one of a plurality of time-based frames based on a time associated with the event data, each of the plurality of time-based frames associated with a respective time period, assigning of each event data to one of a plurality of motion-based frames based on a time associated with the event data, each of the plurality of motion-based frames associated with a respective time period associated with a respective motion state, determination of a confidence score based on the plurality of time-based frames of event data and on the plurality of motion-based frames of event data, and presentation of the confidence score and a control selectable to initiate motion-correction of the event data.

(DSA) enables the vascular structure around a heart to be displayed using the injection of a contrast medium whilst the heart is being observed by an X-ray apparatus. The quality of a DSA sequence can be affected by the breathing of the patient, when under examination. This is because the images forming a DSA sequence are gathered using an X-ray modality, and therefore the independent movement of transparent tissues inside a patient causes motion artefacts to appear in DSA images. According to an aspect of the present invention, a method, device, X-ray system, computer program element, and a computer readable medium are provided which can correct artefacts appearing in DSA images which originate from to the motion of the heart and the motion caused by breathing in a patient.

A tomography apparatus includes a data obtainer and an image processor. The data obtainer performs a tomography scan on a moving object and obtains raw data of the object The image processor reconstructs a first tomography image of the object for a first slice section in a first phase from the raw data and reconstructs a second tomography image in a second phase, which is different from the first phase, for the first slice section of the object by using the raw data. The image processor also generates motion information indicating a three-dimensional (3D) motion of the object. The second phase is a phase beyond a phase range of the raw data.

A method includes re-sampling current image data representing a reference motion state into a plurality of different groups, each group corresponding to a different motion state of moving tissue of interest, forward projecting each of the plurality of groups, generating a plurality of groups of forward projected data, each group of forward projected data corresponding to a group of the re-sampled current image data, determining update projection data based on a comparison between the forward projected data and the measured projection data, grouping the update projection data into a plurality of groups, each group corresponding to a different motion state of the moving tissue of interest, back projecting each of the plurality of groups, generating a plurality of groups of update image data, re-sampling each group of update image data to the reference motion state of the current image, and generating new current image data based on the current image data and the re-sampled update image data.

A system and method for image-guided radiotherapy are provided. The system may include a treatment assembly and an imaging assembly. The treatment assembly may include a first radiation source configured to deliver a treatment beam. The treatment assembly may have a treatment region relating to an object. The imaging assembly may include a second radiation source and a radiation detector. The second radiation source may be configured to deliver an imaging beam, and the radiation detector may be configured to detect at least a portion of the imaging beam. The imaging assembly may have an imaging region relating to the object. The first radiation source may be rotatable in a first plane, and the second radiation source may be rotatable in a second plane different from the first plane, such that the treatment region and the imaging region at least partially overlap.

The present invention relates to vascular treatment outcome visualization. To provide an enhanced possibility to check that a vascular treatment has been correctly performed, it is proposed to provide (112) a first image data (114) of a region of interest of a vascular structure at a first point in time, and to provide (116) at least one second image data (118) of the region of interest of the vascular structure at a second point in time, wherein a vascular treatment has been applied to the vascular structure between the first point in time and the second point in time. Further, the first and the at least one second image data are combined (120) generating a joint outcome visualization image data (122) and the joint outcome visualization image data is displayed (124).

Embodiments provide a method for denoising time series images of a moved structure for a medical device. A movement detector detects the moved structure. The movement detector obtains a measurement of the similarity of two images that each represent the same section of the moved structure. The two images originate from two different time series images. A ratio between spatial and temporal denoising is defined for the section as a function of the measurement of the similarity.

Motion correction of a three-dimensional (3D) image dataset reconstructed from a plurality of two-dimensional (2D) projection images acquired by an X-ray device is provided. In order to acquire the projection images, each of two acquisition assemblies covers an angular range of projection angles, and pairs of projection images of a region under examination are acquired at least substantially simultaneously at each acquisition time instant. For each pair of projection images, at least one marker object lying in the region under examination is automatically localized in order to determine 2D location information. 3D position information about the marker object is determined using acquisition geometries of the respective pair of projection images. Motion information describing a motion profile of the marker object over the acquisition period is ascertained from the position information at different acquisition time instants, and the motion information is used for motion correction of the image dataset.

Provided is an image processing device including a hardware processor. The hardware processor: obtains a static image and a dynamic image of a same subject by radiographic imaging; detects, on the static image, a first analysis target area; detects, on the dynamic image, a second analysis target area corresponding to the first analysis target area; analyzes the second analysis target area of the dynamic image to generate a functional information representative from change caused by biological motion; deforms and positions the second analysis target area so that the second analysis target area corresponds to the first analysis target area; overlays the functional information representative of the deformed and positioned second analysis target area on the static image.

For controlling reconstruction in emission tomography, the quality of data for detected emissions and/or the application controls the settings used in reconstruction. For example, a count density of the detected emissions is used to control the number of iterations in reconstruction to more likely avoid over and under fitting. The count density may be adaptively determined by re-binning through pixel size adjustment to find a smallest pixel size providing a sufficient count density. As another example, the detected data may have poor quality due to motion or high body mass index (BMI) of the patient, so the reconstruction is set to perform differently (e.g., less smoothing for high motion or a different number of iterations for high BMI). The quality of the data may be used in conjunction with the application or task for imaging the patient to control the reconstruction.