A radiographic image detection device subtracts a first offset image from a radiographic image to generate a primary corrected image, subtracts a second offset image from an immediately preceding offset image to generate an offset difference image, performs gain correction on the primary corrected image on the basis of a first gain image to generate a secondary corrected image, performs gain correction on the offset difference image on the basis of a second gain image to generate a gain-corrected offset difference image, performs a low-pass filtering process on the gain-corrected offset difference image, and subtracts the gain-corrected offset difference image subjected to the low-pass filtering process from the secondary corrected image to generate a tertiary corrected image.

A correction image acquisition process includes: a first gain image acquisition process of reading a pixel signal from a pixel region irradiated with radiation in a state in which a subject is not placed to acquire a first gain image; a pre-irradiation image acquisition process of reading the pixel signal from the pixel region in a state in which the subject is not placed and the radiation is not emitted to acquire a pre-irradiation image; a discarding process of discarding charge accumulated in a pixel of the pixel region after a dose of radiation that saturates the charge is emitted in a state in which the subject is not placed; a post-irradiation image acquisition process of reading the pixel signal from the pixel region to acquire a post-irradiation image after the discarding process is performed; and a second gain image acquisition process of subtracting the pre-irradiation image from the post-irradiation image to acquire a second gain image.

A method is for computed tomography imaging. In an embodiment, the method includes provisioning a CT data set of an object, the CT data set being previously recorded via a multispectral recording method; suppressing a contrast, caused by a tissue type, and generating a contrast-suppressed data set from the CT data set provisioned; and analyzing at least the contrast-suppressed data set generated or a data set generated via a machine learning algorithm based on the contrast-suppressed data set, the analyzing being configured to identify at least one change in the tissue type. A corresponding device, a control device for a computed tomography system or a diagnosis system, and a diagnosis system and a computed tomography system are also disclosed.

Provided is an image processing apparatus for a C-arm, including: a movement control unit which moves a C-arm which irradiates a radiation onto a bone of a subject located on a table and detects the radiation which penetrates the bone to generate a projection image for the bone, along a predetermined route; an image acquiring unit which acquires a plurality of projection images generated by the moving C-arm at every predetermined interval; and an image processing unit which generates a combined projection image in which the plurality of acquired projection images is combined, and the predetermined interval may be an interval at which a continuous panoramic image may be generated by connecting the plurality of acquired projection images.

Provided in the invention is a method and a device of Correction of a ring artifact in a CT image and a computer program medium. The method of correction comprises: pre-processing original detection data; marking a bad detector according to data in the pre-processed original sinogram; acquiring a replacing detection value corresponding to the bad detector by means of a first averaging processing; and performing a CT image reconstruction using a sinogram data after the first averaging processing. The device comprises: a pre-processing unit configured to pre-process original detection data; a marking unit configured to mark a bad detector according to data in the pre-processed original sinogram; a first averaging processing unit configured to acquire a replacing detection value corresponding to the bad detector by means of a first averaging processing; and an image reconstruction unit. The invention is able to effectively eliminate the ring artifact in the CT image, and at the same time ensure that there is little loss of the spatial resolution of the CT image.

Provided is a method for determining tube electrical parameters. The method includes: acquiring target projection data of an imaging device in scanning a target object at a first scan angle; acquiring target noise data corresponding to the target object; determining current noise data corresponding to the target projection data; and determining, based on the target noise data and the current noise data, the tube electrical parameters of the imaging device in scanning the target object at a second scan angle.

A dynamic imaging quality control device performs quality control of dynamic imaging in which a dynamic state of a subject is imaged by irradiating the subject with radiation. The device includes a hardware processor that: determines a target frame image as a target of quality control from among multiple frame images constituting a dynamic image obtained by the dynamic imaging; generates quality information regarding quality of the dynamic imaging by using the determined target frame image; and outputs the quality information

A method for vascular assessment is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method, in some embodiments, further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.

According to one embodiment, an X-ray computed tomography apparatus includes an X-ray tube, a detector, and processing circuitry. The X-ray tube emits X-rays. The detector detects X-rays that have been emitted from the X-ray tube and have passed through the subject. The processing circuitry sets an imaging condition. The processing circuitry evaluates the imaging condition based on information on a lower limit range of a count value of the detected X-rays that may cause image degradation.

The present disclosure provides a system for active noise cancellation for a subject placed in a scanning bore of a medical imaging apparatus. The system may be directed to perform operations including detecting first noise signals by a first array of noise detection units disposed in the scanning bore, at least part of the first noise signals resulting from an operation of gradient coils of the medical imaging apparatus. The system may also be directed to perform operations including detecting, by a second array of noise detection units, second noise signals near a target position associated with the subject. The system may further be directed to perform operations including determining anti-noise signals based on the first noise signals, the second noise signals and excitation signals used for the operation of the medical imaging apparatus.