A method for adjusting a radiation dose during imaging of an object within a subject is provided. The method includes identifying a task in a first frame that contains the object, the first frame generated via exposing the subject to a radiation beam; and adjusting the radiation beam based at least in part on the task prior to generating a second frame that contains the object, the second frame generated via exposing the subject to the radiation beam.

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.

A radiographing system includes a mobile terminal configured to store an examination time of a subject that is based on examination-related information about the subject, a radiographing apparatus configured to take a radiation image of the subject based on the examination-related information and to store an imaging time of the radiation image, and an association unit configured to associate the radiation image with the examination-related information based on the imaging time and the examination time.

A peer-review flagging system is operable to train a computer vision model and to generate automated assessment data by performing an inference function on a first medical scan by utilizing the computer vision model. Human assessment data is generated based on a first medical report written by a medical professional in conjunction with review of the first medical scan. First consensus data is generated based on the automated assessment data, the human assessment data, and a first threshold, and the first medical scan is determined to be flagged based on the first consensus data. A second threshold is selected use in generating second consensus data for a second medical scan and a second medical report written by the medical professional in conjunction with review of the second medical scan, and is selected to be stricter than the first threshold based on determining to flag the first medical scan.

In the present embodiments, a statement related to an image point or an image region in a reconstructed x-ray image is made in relation to the reliability of the reconstructed grayscale value for the image points of a 2D/3D x-ray image. A confidence level is formed for the grayscale value from a first number of the available x-ray images in relation to a second number of required x-ray images for a complete reconstruction of the respective grayscale value of the 2D/3D x-ray image to be imaged.

A computer-implemented method for providing a scene with synthetic contrast includes receiving preoperative image data of an examination region containing a hollow organ, wherein the medical image data images a contrast agent flow in the hollow organ; receiving intraoperative image data of the examination region of the examination subject, wherein the intraoperative image data images a medical object at least partially disposed in the hollow organ, generating the scene with synthetic contrast by applying a trained function to input data, wherein the input data is based on the preoperative image data and the intraoperative image data, wherein the scene with synthetic contrast images a virtual contrast agent flow in the hollow organ taking into account the medical object disposed therein, wherein at least one parameter of the trained function is based on a comparison between a training scene and a comparison scene; and providing the scene with synthetic contrast.

In displaying a tomographic image in a slice in a three-dimensional (3D) medical image, for the purpose of achieving better recognition of a vascular structure contained in the slice without degrading spatial resolution of the slice, there is provided an image processing apparatus comprising: identifying section for identifying a slice of interest in a 3D medical image representing an anatomical part including a blood vessel; and projecting section for applying projection processing to pixel values in a slice axis direction of the slice for a region in the 3D medical image including the slice and wider than a slice width of the slice.

An X-ray CT apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to detect X-rays that have passed through a subject by using a detector and to acquire projection data on a basis of a detection result. The processing circuitry is configured to obtain position information of a highly X-ray absorbent member in the body of the subject. The processing circuitry is configured to derive information about transmission paths of the X-rays in accordance with a processing effect of an artifact reducing process performed on the highly X-ray absorbent member, on the basis of the position information of the highly X-ray absorbent member.

In the present invention, a method and associated system is provided that produces a new sequence of combined X-ray/fluoro images obtained in synchrony with intravascular dataset/images. This synchronization is based on the time tags recorded at the acquisition of one dataset of the X-ray/fluoroscopic images and the intravascular images/datasets and the cardiac cycle correspondence between the combined X-ray/fluoro datasets/images. The combined X-ray/fluoro and intravascular sensor images provided in the method for each position of intravascular measurement/slice along the blood vessel allows the physician the ability to determine the planned position of the treatment, e.g., a stent, in the X-ray/fluoro images based on the intravascular images, and allows an accurate assessment of the target/lesion location in the X-ray/fluoro images during treatment.

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.