A medical data processing method of determining a transformation for determining a breathing state-dependent geometry of an anatomical body part of a patient's body, the method comprising: a) acquiring planning image data describing a set of tomographic medical planning images describing each a different part of the anatomical body part in the same respiratory state called reference planning respiratory state, wherein the anatomical body part is subject to respiratory movement and wherein the planning images comprise a planning image called reference planning image describing a part of the anatomical body part which is called reference planning body part; b) acquiring breathing image data describing a set of tomographic medical breathing images of the anatomical body part, wherein the breathing images comprise a reference breathing image describing the reference planning body part in a respiratory state called reference breathing respiratory state, which is different from the reference planning respiratory state, and a target breathing image describing at least another part of the anatomical body part, wherein the other part of the anatomical body part is called target body part, in a respiratory state called target respiratory state which is different from the reference planning respiratory state; c) determining, based on the planning image data and the breathing image data, reference transformation data describing a transformation, called reference transformation, between the geometry of the reference planning body part in the reference planning respiratory state and the geometry of the reference planning body part in the reference breathing respiratory state; d) acquiring scaling factor data describing a scaling factor which describes a relationship between the geometry of the reference planning body part in the reference breathing respiratory state and the geometry of the target body part in the target respiratory state; e) determining, based on the reference transformation and the scaling factor data, derived transformation data describing a transformation called derived transformation between the geometry of the target body part in the reference planning respiratory state, and the geometry of the target body part in the reference breathing respiratory state.

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.

In a method and apparatus for respiration-correlated computed tomography imaging, a patient-specific breathing curve is recorded and is evaluated online, and a CT scan, providing a number of raw images of a region of interest of a patient, is controlled synchronously with the patient-specific breathing curve according to the results of the online evaluation.

A CT image reconstructing method, a CT image reconstructing device and a CT system are provided for reducing motion artifacts in CT images in case of motion of an object. The CT image reconstructing method reconstructs CT images from projection data obtained by X-ray scanning, including a moving object position detecting step for detecting a position of a moving object in a CT image; a partial angle selecting step for selecting a view point and an angle range according to said position of the moving object and selecting data of partial angles in said projection data according to said view point and said angle range; a partial angle constraint step for generating partial angles constraint conditions according to the data of said partial angles; and an iterative reconstruction step for generating CT images by iterative reconstruction, thereby improving temporal resolution of CT images of moving objects and reducing motion artifacts.

According to one embodiment, a medical image processing apparatus includes an image storage memory, a calculation circuitry, a level decision circuitry, and an output interface circuitry. The image storage memory stores data of a plurality of images in different respiratory phases. The calculation circuitry calculates a motion amount of a region between the plurality of images for each pixel or area. The level decision circuitry decides a level concerning a severity of chronic obstructive pulmonary disease for each pixel or area. The output interface circuitry outputs information concerning the decided level.

A radiographic imaging apparatus includes an image generator configured to generate a plurality of first images and a plurality of second images, and an image processor configured to align common regions between the plurality of first images and generate a difference long image by splicing images obtained by subtracting a plurality of corrected images from the plurality of second images.

A set of first modality data (e.g., MR or CT) is provided. The set of first modality data comprises a plurality of mu-maps, a plurality of motion vectors and a plurality of gated data. Each of the mu-maps corresponds to one of the beds. A set of second modality data (e.g., PET/SPECT) is provided. The set of second modality data comprises a plurality of frames for each of the beds. Each of the plurality of frames is warped by one or more motion vectors of the plurality of motion vectors. A single-bed image is generated for each bed by summing the frames corresponding to the bed. A whole body image is generated by summing the single-bed images for each of the beds.

An X-ray imaging apparatus includes an image separator configured to extract a first tissue image having a small amount of motion of a tissue, the small amount of motion being smaller than a threshold amount of motion, and to extract a second tissue image with a large amount of motion of a tissue, the large amount of motion being larger than the small amount of motion, from a plurality of image frames, and an image processor configured to correct the second tissue image according to the large amount of motion of the tissue.

A CPU of a console acquires a plurality of projection images, performs an optimization process on a forward projection model, which has, as parameters, an absorption coefficient assigned to each voxel of a three-dimensional model that is virtually set in a three-dimensional space in which the object is disposed and has a plurality of voxels as constituent units, an intersection length of each voxel where a path of radiation emitted at an irradiation position intersects the three-dimensional model, and an amount of movement of the object, on the basis of the projection images at each of a plurality of irradiation positions, and generates a tomographic image of the object using the optimized parameters.

The present disclosure is directed to techniques for medical imaging image presentation. The techniques include obtaining, for a target area including a first target, an image of the target area that is taken without a contrast agent and an image of the target area that is taken with a contrast agent. The techniques also include subtracting the image that is taken with a contrast agent from the image that is taken without a contrast agent to obtain a subtraction image; extracting a contour of a second target from the subtraction image, to obtain a contour image of the second target; and registering, based on a same marker, the contour image of the second target and a currently-acquired (e.g. real-time) image, and then displaying the images in a superimposed manner. The technical solutions in the embodiments of the present disclosure improve the efficiency of treatment based on radiological images.