Embodiments of the present invention relates to an X-ray contrast agent. The X-ray contrast agent has an X-ray absorption the change of which between at least two different X-ray photon energy levels differs from the change in X-ray absorption of calcium between the at least two different X-ray photon energy level. Embodiments of the present invention also relates to an X-ray imaging method. Embodiments of the present invention additionally relates to an image reconstruction device. Embodiments of the present invention further relates to an X-ray imaging system.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and/or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and/or dynamically identify one or more features, such as plaque and vessels, and/or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, and/or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and/or quantified parameters.

The disclosed feature makes it possible to accurately determine a change that has occurred in a tissue. The feature includes: a binarizing section (41) that generates, from an image to be analyzed, a plurality of binarized images having respective binarization reference values different from each other; a Betti number calculating section (42) that calculates, for each of the plurality of binarized images, a one-dimensional Betti number indicating the number of hole-shaped regions each of which is surrounded by pixels each having a first pixel value obtained by binarization and is constituted by pixels each having a second pixel value obtained by binarization; and a determining section (44) that determines a change that has occurred in the tissue, based on a binarization reference value and a one-dimensional Betti number in a binarized image in which the one-dimensional Betti number is maximized.

A document creation support apparatus includes at least one processor, and the processor specifies, with respect to a first region specified in a first image of a subject, a second region corresponding to the first region in each of a plurality of second images of the subject whose imaging time is different from that of the first image. The processor specifies a second description regarding the specified second region, which is included in a plurality of sentences related to each of the plurality of second images. The processor displays a plurality of second descriptions specified for each of the plurality of second images in a switchable manner.

A transformable imaging system configured to operate in at least two configurations. A first configuration may be open and a second configuration may be closed. The closed configuration may allow for imaging in along an arc greater than 180 degrees.

The disclosure relates to a system and method for medical imaging. The method may include: move, by a motion controller, a phantom along an axis of a scanner to a plurality of phantom positions; acquire, by a scanner of the imaging device, a first set of PET data relating to the phantom at the plurality of phantom positions; and store the first set of PET data as an electrical file. The length of an axis of the phantom may be shorter than the length of an axis of the scanner, and at least one of the plurality of phantom positions may be inside a bore of the scanner.

The present disclosure relates to a method, system and non-transitory computer readable medium. In some embodiments, the method includes: acquiring image data of a target subject positioned on a scanning table of an imaging device; determining, by a processor, first position information of the target subject by inputting the image data into a first machine learning model, the first position information of the target subject including a posture of the target subject relative to the imaging device; determining, by the processor, second position information related to a scan region of the target subject by inputting the image data into a second machine learning model, the second position information including a position of the scan region relative to the scanning table and the imaging device; and causing the imaging device to scan the target subject based on the first position information and the second position information.

Described herein are systems and methods of processing immobilization molds for application of treatment, A computing system may generate a three-dimensional mold model of immobilization mold within with a subject is to be positioned for application of a treatment. The computing system may subtract a three-dimensional scan of at least a portion of the subject from the three-dimensional mold model to define an opening therein. The computing system may remove, from the three-dimensional mold model, a first portion to define an imprint in the opening from a first axis along which the subject is to enter. The computing system may remove, from a second portion of the three-dimensional mold model remaining with the removal of the first portion, inward protrusions into the imprint of relative to the second axis intersecting the first axis.

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.

An MR-PET apparatus is provided. The MR-PET apparatus may include a supporting component, a PET detection device, an RF coil, and a signal shielding component. The PET detection device may be supported on the supporting component. The PET detection device may be configured to receive a plurality of photons. The RF coil may be configured to generate or receive a radio frequency (RF) signal. The signal shielding component may be placed between the PET detection device and the RF coil. The signal shielding component may be configured to shield the PET detection device from at least part of the RF signal.