A system and method is provided for controlling against artifacts in medical imaging. The system includes an array of ultrasound sensors, each ultrasound sensor in the array of ultrasound sensors located at a variety of different spatial locations on a subject being imaged by an imaging system configured to generate medical imaging data and each ultrasound sensor configured to receive ultrasound sensor data. The system also includes a processor configured to receive the ultrasound sensor data from the array of ultrasound sensors, multiplex the ultrasound sensor data, generate anatomical information from the multiplexed ultrasound sensor data and correlated to the imaging system, and deliver the anatomical information to the imaging system in a form for use by the imaging system to either acquire the imaging data using the anatomical information or reconstruct the imaging data using the anatomical information.

A method for reconstructing target cardiac images is provided. The method may include: obtaining a plurality of projection data corresponding to a plurality of cardiac motion phases; determining a plurality of cardiac motion parameters corresponding to at least a portion of the plurality of cardiac motion phases based on the plurality of projection data; determining a phase of interest based on the plurality of cardiac motion parameters; and/or reconstructing the one or more target cardiac images of the phase of interest

A medical image processing apparatus comprises processing circuitry configured to select a reference image from blood vessel images based on contrast images acquired in time series and conduct a transformation process on other blood vessel images such that blood vessel shapes in the other blood vessel images match a blood vessel shape in the reference image, generate a color image where a color that corresponds to a temporal change in a pixel value is assigned to each pixel based on the blood vessel images after the transformation process, and display the color image on a display.

A method for gating in tomographic imaging system includes steps of: (a) performing a tomographic imaging on an object for acquiring a plurality of projection images at different projection angles, wherein a target of the object moves periodically; (b) obtaining a projected position of the target on each of the projection images, wherein the projected position is a center of a target zone on each of the projection images; (c) calculating a parameter value of pixel values in the target zone on each of the projection images, and obtaining a curve of a moving cycle of the target according to the parameter values of the projection images; and (d) selecting the projection images under the same state in the moving cycle for image reconstruction according to the curve of the moving cycle of the target.

A computer implemented method for determining a two dimensional DRR referred to as dynamic DRR based on a 4D-CT, the 4D-CT describing a sequence of three dimensional medical computer tomographic images of an anatomical body part of a patient, the images being referred to as sequence CTs, the 4D-CT representing the anatomical body part at different points in time, the anatomical body part comprising at least one primary anatomical element and secondary anatomical elements, the computer implemented method comprising the following steps: acquiring the 4D-CT; acquiring a planning CT, the planning CT being a three dimensional image used for planning of a treatment of the patient, the planning CT being acquired based on at least one of the sequence CTs or independently from the 4D-CT, acquiring a three dimensional image, referred to as undynamic CT, from the 4D-CT, the undynamic CT comprising at least one first image element representing the at least one primary anatomical element and second image elements representing the secondary anatomical elements; acquiring at least one trajectory, referred to as primary trajectory, based on the 4D-CT, the at least one primary trajectory describing a path of the at least one first image element as a function of time; acquiring trajectories of the second image elements, referred to as secondary trajectories, based on the 4D-CT; for the image elements of the undynamic CT, determining trajectory similarity values based on the at least one primary trajectory and the secondary trajectories, the trajectory similarity values respectively describing a measure of similarity between a respective one of the secondary trajectories and the at least one primary trajectory; determining the dynamic DRR by using the determined trajectory similarity values, and, in case the planning CT is acquired independently from the 4D-CT, further using a transformation referred to as planning transformation from the undynamic CT to the planning CT, at least a part of image values of image elements of the dynamic DRR being determined by using the trajectory similarity values.

Exemplary embodiments of the present invention provide a CT imaging method of coronary artery and a computer-readable storage medium, the method comprising: generating and outputting a global optimal phase image of a coronary artery; and generating and outputting a local optimal phase image of a particular trunk of the coronary artery based on a trunk selection command.

A method is for checking a characteristic variable of an application procedure of an X-ray based medical imaging application, each patient model, of a plurality of patient models stored in a database, is characterized by at least one model parameter. In addition, a subset of the plurality of patient models is selected based upon the at least one model parameter assigned to a patient model or based upon the X-ray based medical imaging application. In addition, a number of simulated application procedures of the X-ray based imaging application are performed based upon the selected subset of patient models, at least one patient model being input into each performed simulated application procedure. Furthermore, a value of the characteristic variable is ascertained for each performed simulated application procedure. In addition, the value of the characteristic variable ascertained is output or is automatically evaluated based upon a specified target for the characteristic variable.

A method for reconstructing target cardiac images is provided. The method may include: obtaining projection data, the projection data including a plurality of sub-sets of projection data, each sub-set of projection data corresponding to a cardiac motion phase; obtaining a plurality of sampled cardiac motion phases; generating a plurality of cardiac images of the plurality of sampled cardiac motion phases by reconstructing, based on the one or more sub-sets of projection data corresponding to the each sampled cardiac motion phase, one or more cardiac images of the each sampled cardiac motion phase; determining a plurality of cardiac motion parameters corresponding to the plurality of sampled cardiac motion phases based on the plurality of cardiac images; determining a mean phase based on the plurality of cardiac motion parameters corresponding to the plurality of sampled cardiac motion phases; and reconstructing the one or more target cardiac images of the mean phase.

A method for evaluating image quality is provided. The method may include: obtaining an image, the image including a plurality of elements, each element of the plurality of elements being a pixel or voxel, each element having a gray level; determining, based on a maximum gray level of the plurality of elements, one or more thresholds for segmenting the image; determining one or more sub-images of a region of interest by segmenting, based on the one or more thresholds, the image; and determining, based on the one or more sub-images of the region of interest, a quality index for the image.

A dynamic analysis system includes a hardware processor and an output device. The hardware processor obtains a cycle of temporal change in a feature amount relevant to a function to be diagnosed from each of dynamic images obtained by imaging of a dynamic state of a living body with radiation. The hardware processor further adjusts the obtained cycle, thereby generating a plurality of cycle-adjusted data having cycles of the temporal change in the feature amount being equal to one another. The hardware processor further generates difference information at each phase in the plurality of cycle-adjusted data. The output device outputs the difference information.