A radiographic control apparatus includes an obtaining unit configured to obtain position information about a transmission unit configured to transmit a radio wave based on a radio field intensity of the transmission unit and position information about a reception unit configured to receive the radio wave, the transmission unit being disposed on a radiographic apparatus configured to generate a radiographic image of a subject based on radiation emitted from a radiation generation apparatus, and a correction unit configured to correct the position information about the transmission unit using depth information about an area to which the radiographic apparatus belongs in an optical image captured by an imaging apparatus, the depth information being obtained from the optical image.

A method and system for facilitating identification and marking of a target in a displayed Fluoroscopic Three-Dimensional Reconstruction (F3DR) of a body region of a patient. The system includes a display and a storage device storing instructions for receiving an initial selection of the target in the F3DR, fining the F3DR based on the initial selection of the target, displaying the fined F3DR on the display, and receiving a final selection of the target in the fined F3DR via a user selection. The system further includes at least one hardware processor configured to execute said instructions. The method and instructions may also include receiving a selection of a medical device in two two-dimensional fluoroscopic images, where the medical device is located in an area of the target, and initially fining the F3DR based on the selection of the medical device.

Disclosed is a medical imaging conversion method, automatically converting: at least one or more real x-ray images of a patient, including at least a first anatomical structure of the patient and a second anatomical structure of the patient, into at least one digitally reconstructed radiograph (DRR) of the patient representing the first anatomical structure without representing the second anatomical structure, by a single operation using either one convolutional neural network (CNN) or a group of convolutional neural networks (CNN) which is preliminarily trained to, both or simultaneously: differentiate the first anatomical structure from the second anatomical structure, and convert a real x-ray image into at least one digitally reconstructed radiograph (DRR).

According to some embodiments, an image processor includes an image generator, a region acquirer, and a label applicator. The region acquirer acquires at least one two-dimensional region designated on at least one first perspective image generated from three-dimensional volume data of a target. The label applicator applies a label on at least one first three-dimensional region. The at least one first three-dimensional region is a part of a second three-dimensional region. The second three-dimensional region is defined by the at least one two-dimensional region, a point and a surface which is defined by a set of straight lines between the point and the boundary of the two-dimensional region. The first three-dimensional region is defined to be a first overlapping region where the three-dimensional volume data and the second three-dimensional region overlap.

The disclosed method encompasses reconstruction of a three-dimensional position of a tracking structure (which may comprise a target of radiation treatment) as reconstructed tracking structure data from pairs of two-dimensional tracking images which are input as tracking image data. Each tracking image contained in a pair of tracking images is compared to a tracking representation of the tracking structure contained in a search template image generated from the same perspective onto the tracking structure as the associated tracking image and input as search template data. The tracking image having the highest at local degree of similarity to its associated search template image is selected as a starting point (the first tracking image) for computing a corresponding image position (a complement point) in the other tracking image (the second tracking image) on the basis of applying epipolar geometry outgoing from the position in the first tracking image associated with the highest local degree of similarity. The method then continues with determining whether there is a point in the second tracking image having a higher degree of similarity than the complement point. Depending on the result of this analysis, an accumulated value of similarity is determined for each pair of tracking images depending on the sum of similarity values of the maximum similarity points in the first and second tracking images so determined. The position of the tracking structure is determined as the intersection of back-projection lines of the points being associated with the highest sum of associated similarity values. Thereby, the reliability of position determination from stereoscopic two-dimensional x-ray images can be enhanced.

Systems and methods for image registration are provided. The method may include obtaining a reference image of an object (510); the object includes a target volume; determining a registration mask associated with a region of interest (ROI) based on the reference image (520), the ROI includes at least a portion of the target volume; obtaining a target image of the object (530); and performing an image registration on the reference image and the target image based on the registration mask (540).

3D image data of a skeletal portion is acquired. A location of a proximal portion of a tool is calculated and a location is derived of a distal portion of the tool with respect to the skeletal portion, with respect to the 3D image data. A display indicates the derived location. First and second 2D images of the distal portion of the tool are acquired from two different poses of a 2D imaging device with respect to the subject and registered with the 3D image data. The location of the distal portion with respect to the 3D image data of the skeletal portion is determined based on the registration and an identified location of the distal portion within the 2D x-rays. Based upon the determined location, the display updates the indicated location of the distal portion. Other embodiments are also described.

A method for registering a three-dimensional image data record of a target region of a patient with a two-dimensional x-ray image is provided. The method includes selecting at least one rigid reference structure with an associated contour; establishing a two-dimensional gradient x-ray image and a three-dimensional gradient data record of the image data record; finding a neighborhood in the gradient x-ray image from a plurality of neighborhoods extending about test points for a plurality of contour points; establishing local two-dimensional displacement information by comparison of the contour points with the associated comparison points; establishing movement parameters of a three-dimensional movement model describing a movement of the target region between recording of the image data record and the x-ray image from the local two-dimensional displacement information; and establishing a registration transformation describing the registration by correcting the test transformation based on the movement parameters.

The present disclosure discloses an image display method in a CT system. The method comprises: implementing CT scanning on an inspected object, to obtain CT projection data; organizing the CT projection data according to a predetermined interval; extracting basic data from the organized CT projection data by using a fixed angle as a start angle and using 360 degrees as an interval; forming a DR image based on the extracted basic data; reconstructing a three-dimensional image of the inspected object from the CT projection data; and displaying the DR image and the reconstructed three-dimensional image on a screen at the same time. In the solution, the CT data is processed to obtain DR data. After the DR data is obtained, a DR image is obtained directly using a DR data processing algorithm. This enables an image recognizer to more accurately and more rapidly inspect goods carried by a passenger using the existing experience in image recognition of the DR image.

A processing device for a radiation device is configured to carry out the steps of retrieving, from a data storage, volume data of a subject that was generated by imaging an internal structure of the subject, determining a position of an object in the subject based on the retrieved volume data of the subject, obtaining geometry information including a position of a radiation source and a position of a radiation detector, and obtaining a direction of the radiation detector, and determining a condition for imaging with the radiation source, so that the object can be captured through the imaging, based on the volume data, the position of the object, the position of the radiation source, the position of the radiation detector, and the direction of the radiation detector.