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.

In an implementation, a processing device receives first intraoral scan data generated at a first time and analyzes the first intraoral scan data to determine a first representation of a caries from the first intraoral scan data. The processing device receives second intraoral scan data generated at a second time and analyzes the second intraoral scan data to determine a second representation of the caries from the second intraoral scan data. The processing device compares the second representation of the caries to the first representation of the caries and tracks the caries over time based on a difference between the second representation of the caries and the first representation of the caries.

A method and system is disclosed for acquiring image data of a subject. The image data can be collected with an imaging system in a selected manner and/or motion. More than one projection may be combined to generate and create a selected view of the subject.

A method, an apparatus and a system for conveniently measuring coronary artery vascular evaluation parameters are provided by the disclosure. The measurement method includes: measuring a pressure P.sub.d at a distal end of coronary artery stenosis and/or a pressure P.sub.a at a coronary artery inlet via a pressure guide wire (S100); performing coronary angiography for a blood vessel to be measured (S200); selecting an angiogram image of a first body position and an angiogram image of a second body position of the blood vessel to be measured (S300); selecting a segment of blood vessel from a proximal end to a distal end of the coronary artery for segmentation, and obtaining a three-dimensional coronary artery vascular model by three-dimensional modeling (S400); injecting a contrast agent, and obtaining an average time T.sub.a taken for the contrast agent passing from an inlet to an outlet of the segment of blood vessel (S500); obtaining a time T.sub.max taken for the contrast agent passing from the inlet to the outlet of the segment of blood vessel in a maximum dilated state according to hydrodynamic formulas (S600); obtaining coronary artery vascular evaluation parameters (S700).

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.

An image processing apparatus comprises a generating unit configured to generate, using a plurality of radiation images corresponding to mutually different radiation energies, a first material decomposition image that indicates a thickness of a first material and a second material decomposition image that indicates a thickness of a second material that differs from the first material. The generating unit generates, using the first material decomposition image and the second material decomposition image, a thickness image in which the thickness of the first material and the thickness of the second material are added together.

To appropriately perform long-sized imaging even in the case of performing long-sized imaging using different types of radiation detectors, a radiography system for generating a long-sized image by combining a plurality of items of image data obtained from a plurality of radiation detectors 120, 122, and 124 includes a determination unit 202, which determines whether or not long-sized imaging is possible on the basis of identification information and position information of the plurality of radiation detectors 120, 122, and 124.

An apparatus includes an acquisition unit configured to acquire a first image and a second image obtained by detecting radiation of different energies, and a subtraction image generated using the first image and the second image, and an output control unit configured to control output of the first image, the second image, and the subtraction image based on examination information.

A method for providing an optimum subtraction data set includes: receiving first image data sets acquired by a medical imaging device and which map an object under examination within a first time phase; receiving at least one second image data set acquired by the same or another medical imaging device and which maps a change in the object under examination within a second time phase; dividing the at least one second image data set into a plurality of image regions; generating subtraction image regions for the plurality of image regions; determining an image quality parameter for each subtraction image region; determining an optimum subtraction image region for each image region of the plurality of image regions of the at least one second image data set by comparing the image quality parameters; generating the optimum subtraction data set from the optimum subtraction image regions; and providing the optimum subtraction data set.

An image processing apparatus is provided that includes: an obtaining unit configured to obtain a plurality of images relating to different radiation energies; and a generating unit configured to generate at least one of energy-subtraction images based on the plurality of images using a learned model, wherein the learned model is obtained using a first image obtained using a radiation and a second image obtained by improving image-quality of the first image or by adding a noise which has been artificially calculated to the first image.