Preoperative planning techniques are described such as for hip surgery. Rather than pre-operatively planning by reorienting a model of the boundaries of the acetabulum derived from a 3D medical image, the proposed solution reorients portions of the 3D medical image itself and simulates one or more x-ray images using the reoriented 3D data. Optionally, simulated x-ray(s) of the un-modified CT scan may also be generated for comparison purposes. The user then measures acetabular metrics on the simulated x-ray(s) in order to determine the radiographic outcomes that a given magnitude and direction of reorientation would achieve. By iteratively selecting a reorientation and measuring the simulated x-ray(s), an optimal reorientation plan is determined by the user.

A system and method for reconstructing locations of sensors in radiopaque images may estimate sensor locations in two groups of good radiographic images and use them to estimate candidate sensor locations in a group of bad radiographic images B1, . . . , Bn in which many sensors are indiscernible. A first iterative process pervading from the first image B1 to the last image Bn may determine a first set of candidate sensor locations, and a second iterative process pervading from the last image Bn to the first image B1 may determine a second set of candidate sensor location for each image. Location of a sensor in each image Bi may be estimated based on the pertinent first and second candidate sensor locations related, or determined for, the particular sensor in the particular image. Sensor locations still missing in the series of images are, then, estimated using the already estimated sensor locations.

A procedure is performed with respect to a skeletal portion within a body with a tool mounted upon a steerable arm. 3D image data is acquired of the skeletal portion. First and second x-ray images of the tool and the skeletal portion are acquired from respective first and second views. A computer processor (22) (i) registers the first and second images to the image data, (ii) identifies a location of the tool with respect to the skeletal portion, within the first and second images, (iii) determines the tool's location with respect to the image data, (iv) compares the tool's location with a designated locational element, (v) calculates the 3D difference between the tool's location and the locational element, and (vi) generates steering instructions for the arm such that the tool's location matches the locational element. Other applications are also described.

An apparatus provides a patient specific 3D model of a body part. At least one 2D X-ray image including 2D X-ray image data of a vascular structure of a patient's body part is provided. A 3D model of the body part is provided, the 3D model including a 3D modelled vascular structure. At least one parameter commands an appearance of the 3D modelled vascular structure. The 3D modelled vascular structure is compared with the 2D X-ray image data of the vascular structure to determine the at least one parameter. The 3D model is updated as a function of the determined at least one parameter. A medical report is generated based on information determined from the 3D model.

An image processing apparatus includes at least one processor. The processor is configured to execute processing of acquiring a first image as a radiographic image including an image of a subject generated by radioscopy for continuously irradiating the subject with radiation to perform imaging, acquiring a second image different from the radiographic image including the image of the subject before acquiring the first image, specifying a subject region as a region where the image of the subject is formed in the first image, based on the second image, and executing image processing of enhancing contrast of the specified subject region on the first image and outputting the first image after the image processing.

The disclosure is related to a panoramic radiography device. The panoramic radiography device may include an image processor and a viewer module. The image processor may be configured to produce a primary panoramic image using a first image layer and a secondary panoramic image using a secondary image layer based on a plurality of image frame data, wherein the second image layer is different from the first image layer in at least one of a number, a position, a shape, an angle, and a thickness. The viewer module may be configured to i) provide a graphic user interface having a primary display area and a secondary display area arranged at a predetermined position of the primary display area, ii) display the primary panoramic image at the primary display area, and iii) display a part of the secondary panoramic image at the secondary display area, wherein the part of the secondary panoramic image corresponds to the predetermined position.

A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements representing the secondary anatomical elements; acquiring at least one trajectory, referred to as primary trajectory, based on the 4D-CT, the at least one primary trajectory describing a path of the at least one first image element as a function of time; acquiring trajectories of the second image elements, referred to as secondary trajectories, based on the 4D-CT; for the image elements of the undynamic CT, determining trajectory similarity values based on the at least one primary trajectory and the secondary trajectories, the trajectory similarity values respectively describing a measure of similarity between a respective one of the secondary trajectories and the at least one primary trajectory; determining the dynamic DRR by using the determined trajectory similarity values, and, in case the planning CT is acquired independently from the 4D-CT, further using a transformation referred to as planning transformation from the undynamic CT to the planning CT, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values.

An image display control system includes a hardware processor that acquires data of a static image of a subject, and data of a dynamic image of the subject including a plurality of frame images, analyzes the dynamic image that is acquired, and creates analysis result data based on an analysis result, and selects, on a basis of a purpose of checking of data, at least one of the data among the data of the static image that is acquired, a part of the data of the dynamic image that is acquired, and the analysis result data that is created.

A method and system for 3D/3D medical image registration. A digitally reconstructed radiograph (DRR) is rendered from a 3D medical volume based on current transformation parameters. A trained multi-agent deep neural network (DNN) is applied to a plurality of regions of interest (ROIs) in the DRR and a 2D medical image. The trained multi-agent DNN applies a respective agent to each ROI to calculate a respective set of action-values from each ROI. A maximum action-value and a proposed action associated with the maximum action value are determined for each agent. A subset of agents is selected based on the maximum action-values determined for the agents. The proposed actions determined for the selected subset of agents are aggregated to determine an optimal adjustment to the transformation parameters and the transformation parameters are adjusted by the determined optimal adjustment. The 3D medical volume is registered to the 2D medical image using final transformation parameters resulting from a plurality of iterations.

A mammography apparatus (radiographic imaging apparatus) includes: a total irradiation time acquisition unit that acquires the total irradiation time of X-rays (radiation); a divided irradiation time calculation unit that calculates a divided irradiation time by dividing the total irradiation time; an imaging controller that obtains a plurality of time-division images by time-division imaging in which radiographic imaging is performed multiple times according to the divided irradiation time; a feature point recognition unit that recognizes feature points for each of the time-division images; a time-division image selection unit that selects some or all of the time-division images from the plurality of time-division images using the feature points; and a composite image generation unit that generates a composite image using the selected time-division images.