An artificial intelligence (AI) measurement system for an X-ray image is employed either as a component of the X-ray imaging system or separately from the X-ray imaging system to automatically scan post-exposure X-ray images to detect and locate various landmarks of the anatomy presented within the X-ray image. A set of key image features approximating the locations of the landmarks having known distance relationships to one another is overlaid onto the X-ray image. The positions of the key image features are then adjusted to correspond to the landmarks within the X-ray image. These adjustments are made relative to the prior known distance relationships between the key features, which enables the measurement system to readily calculate desired angular and length measurements between landmarks as a result.

A method includes visually presenting image data (404) in a main window (402) of a display monitor (120). The image data is processed with a first processing algorithm. The method further includes identifying tissue of interest in the image data displayed in the main window. The method further includes generating, with the processor (124), a sub-viewport (502) for the tissue of interest by determining at least one of: a location of the sub-viewport; a size of the sub-viewport; a shape of the sub-viewport; or an orientation of the sub-viewport. The method further includes visually presenting the sub-viewport over a sub-region of the image data in the main window based on one or more of the location, the size, the shape, or the orientation.

A positioning apparatus and a positioning method has a control element and function 40 includes a radiograph acquisition element 41 that acquires radiograph data detected by two radiography systems selected from a group consisting of a flat panel detector, a DRR (Digital Reconstructed Radiograph) generation element 42 that generates DRR in two different directions by virtually performing fluoroscopic projection relative to the 3-dimensional CT data obtained through the network 17, a positioning element 43 that positions a CT to the X-ray fluoroscopic radiograph obtained from two radiography systems, and a displacement distance calculation element 44 that calculates a displacement distance of the tabletop 31 based on the gap between radiographs for improved positioning. The positioning element 43 has a multidimensional optimization element 45 and a 1-dimensional optimization element 46 that optimize parameters relative to rotation and translation of the fluoroscopic projection to maximize an evaluation function that evaluates a matching degree between the DRR and the X-ray fluoroscopic radiograph.

According to one embodiment, a medical image diagnostic apparatus includes a storage memory, processing circuitry, and a display. The storage memory stores data of a plurality of FFR distribution maps constituting a time series regarding a coronary artery, and data of a plurality of morphological images corresponding to the time series. The processing circuitry converts the plurality of FFR distribution maps into a plurality of corresponding color maps, respectively. The display displays a plurality of superposed images obtained by superposing the plurality of color maps and the plurality of morphological images respectively corresponding in phase to the plurality of color maps. The display restricts display targets for the plurality of color maps based on the plurality of FFR distribution maps or the plurality of morphological images.

During the generation of a panoramic x-ray recording, the use of semi-transparent x-ray screens allows the patient's x-ray exposure to be reduced when partial x-ray images are created, in spite of relatively large overlapping areas between the partial x-ray images.

The present disclosure provides an image processing device including: a radiographic image acquisition section that acquires a radiographic image, the radiographic image generated by stitching together radiographic images of an imaging subject imaged by plural radiation detectors, each of which includes a detection face for detecting radiation; a purpose acquisition section that acquires information indicating an interpreting purpose; and an adding section that adds a predetermined assist line to the radiographic image, on the basis of at least one of a reference object corresponding to the interpreting purpose in the radiographic image acquired by the radiographic image acquisition section or the information indicating the interpreting purpose.

Cardiac data of a living being is processed by a processing unit comprising a first fractional flow reserve (FFR) providing unit (11) for providing first FFR values being indicative of the FFR of different arteries of the living being, wherein said virtual FFR values were calculated from non-invasive imaging data of arteries of the living being; a second FFR providing unit (12) for providing FFR values measured in the arteries of the living being; a correction unit (13) configured to correct the first FFR values based on the second FFR values; and a display unit (14) configured to display at least one first FFR value and a second FFR value for a corresponding position in the coronary arteries. The first and second FFR values are displayed to a cardiologist, who can base his course of action on the simulated and corrected values.

A method includes, following specification of an initial transformation as a test transformation that is to be optimized, determining a 2D gradient x-ray image and a 3D gradient dataset of the image dataset, carrying out, for each image element of the gradient comparison image, a check for selection as a contour point, and determining an environment best corresponding to a local environment of the contour point and extending around a comparison point in the gradient x-ray image for all contour points in the at least one gradient comparison image. Local 2D displacement information is determined by comparing the contour points with the associated comparison points, and motion parameters of a 3D motion model describing a movement of the target region between the acquisition of the image dataset and the x-ray image are determined from the displacement information and a registration transformation describing the registration.

An X-ray CT system and a method of processing medical images are provided that enable combining of images with reduced effect of the differences in coordinates of the pixels in the overlapped areas of a plurality of constituent images. The X-ray CT system includes a processor and a synthesizer. Based on coordinates of first pixels in a first image of a first three-dimensional region of the subject and coordinates of second pixels in a second image of a second three-dimensional region of the subject, the processor combines the first pixels with the second pixels on a one-for-one basis within a predetermined range in the rostrocaudal direction. The synthesizer generates third pixels relative to the first pixels and the second pixels and generates a third image that includes the third pixels.

A hierarchical workflow is configured to associate examination information captured using an imaging platform with contextual metadata. The examination information may include ultrasound image data, which may be associated with annotations, measurements, pathology, body markers, and/or the like. The hierarchical workflow may comprise templates associated with respective anatomical regions, locations, volumes, and/or surfaces. A template may define configuration data to automatically adapt the imaging platform to capture imaging data in the corresponding anatomical region. The template may further include guidance information for the operator, including processing steps for capturing relevant examination information. Additional examination information may be captured and included in the hierarchical workflow.