An image acquisition unit acquires a plurality of projection images corresponding to a plurality of radiation source positions at the time of tomosynthesis imaging, the plurality of projection images being generated by causing an imaging apparatus to perform tomosynthesis imaging. A positional shift amount derivation unit derives a positional shift amount between the plurality of projection images based on body movement of the subject with a reference projection image generated at a radiation source position where an optical axis of the radiation emitted from the radiation source is perpendicular to a detection surface of the detection unit, among the plurality of projection images, as a reference. A reconstruction unit generates a tomographic image of at least one tomographic plane of the subject by reconstructing the plurality of projection images while correcting the positional shift amount.

An X-ray image processing method, including obtaining a first X-ray image of an object including a plurality of materials including a first material and a second material; obtaining a first partial image generated by imaging the first material and a second partial image generated by imaging the first material overlapping the second material from the first X-ray image; obtaining first information related to a stereoscopic structure of the first material, based on the first partial image included in the first X-ray image; and obtaining second information about the second material based on the first information and the second partial image.

The angle error estimating apparatus 310 comprises a storing section 315 for storing a series of projection data of an X-ray CT and control values of projection angles respectively associated with the projection data, a temporary correction section 330 for correcting the control values of the projection angles to temporary correction values with an error model using an assumed parameter, a temporary reconstruction section 332 for reconstructing a plurality of temporarily corrected images using the temporary correction values of the projection angles for each of different projection data sets composed of a part of the series of projection data, a consistency evaluating section 340 for evaluating consistency of the plurality of temporarily corrected images, and a parameter determining section 345 for determining an optimum parameter used for the error model based on the evaluated consistency.

An X-ray CT apparatus of an embodiment acquires projection data of a subject based on X-ray detection data according to biometric information synchronous scanning and generates a CT image of the subject based on the projection data. The X-ray CT apparatus includes a first acquisition unit, a determination unit, and a second acquisition unit. The first acquisition unit acquires biometric information of the subject at a timing when the biometric information synchronous scanning has been performed. The determination unit determines, as priority data, detection data that is a target for which data transfer will be preferentially performed among X-ray detection data acquired in the biometric information synchronous scanning based on the biometric information. The second acquisition unit acquires the priority data from a storage device that holds the detection data.

Systems and methods for data transmission may be provided. The system may at least include a data transmission module. The system may obtain MR signals from one or more RF coils. The system may generate, via a first portion of the data transmitting module, first data based on the MR signals. The system may generate, via a second portion of the data transmitting module, second data based on the first data. The second portion of the data transmitting module may connect to the first portion of the data transmitting module wirelessly. The system may further store the second data in a non-transitory computer-readable storage medium.

A geometric calibration apparatus detects points from projection regions onto which markers disposed on a phantom are projected, and calculates an output vector representing a probability distribution that gives a probability with which each point is a projection of each marker, by inputting data corresponding to each point to a learning model. The geometric calibration apparatus extracts a predetermined number of samples based on the probability distribution, obtains a candidate projection matrix by transforming correspondences between markers determined based on the samples among the markers and points determined based on the samples among the points, calculates points into which the markers are transformed by the candidate projection matrix, calculates a difference between a set of the transformed points and a set of the detected points, and designates the candidate projection matrix as a projection matrix when the difference is less than or equal to a threshold.

Methods and systems are provided for increasing a quality of computed tomography (CT) images reconstructed from high helical pitch scans. In one embodiment, the current disclosure provides for a method comprising generating a first computed tomography (CT) image from projection data acquired at a high helical pitch; using a trained multidimensional statistical regression model to generate a second CT image from the first CT image, the multidimensional statistical regression model trained with a plurality of target CT images reconstructed from projection data acquired at a lower helical pitch; and performing an iterative correction of the second CT image to generate a final CT image.

A method includes generating a real-time ultrasound image of anatomy of interest. At least a sub-portion of the anatomy of interest is deformed from an initial location to a different location by pressure applied by an external force. The method further includes obtaining a 2-D slice, which corresponds to a same plane as the real-time ultrasound image, from 3-D reference image data, wherein a corresponding sub-portion is at the initial location. The method further includes determining displacement fields for the sub-portion from the sub-portion, the corresponding sub-portion and other anatomy not-deformed in the real-time ultrasound image and the 3-D reference image data. The method further includes deforming the 3-D reference image data using the displacement fields, which creates deformed 3-D reference image data based on the different location.

The present disclosure is directed to systems and methods of multiphase pseudo-continuous arterial spin labeling.

A system and method for generating a parametric map of a subject's brain includes receiving non-contrast computed tomography (NCCT) imaging data and receiving computed tomography perfusion (CTP) data. The method further includes creating a baseline image by utilizing the NCCT data and generating a parametric map using the CTP data and the baseline image.