A radiation imaging apparatus is provided. The radiation imaging apparatus comprises a plurality of pixels used to acquire a radiation image, and a readout circuit configured to read out a signal from each of the plurality of pixels. Correction image data used for performing offset correction is acquired from the plurality of pixels in an acquisition mode associated with an estimated value of the signal and system noise generated when the readout circuit reads out the signal, the estimated value and the system noise being set according to an imaging mode by a user.

A body thickness conversion unit converts a body thickness from a distance image imaged by a distance measurement camera to acquire the body thickness. A setting unit sets a gradation transformation function for use in gradation transformation processing to a radiographic image corresponding to the body thickness. A radiographic image acquisition unit acquires the radiographic image output from a radiation detector in radioscopy. A gradation transformation processing unit starts the gradation transformation processing with the gradation transformation function set by the setting unit.

A method and breast imaging system for processing breast tissue image data includes feeding image data of breast images to an image processor, identifying image portions depicting breast tissue and high density elements and executing different processing methods on input images. A first image processing method involves breast tissue enhancement and high density element suppression, whereas the second image processing method involves enhancing high density elements. Respective three-dimensional sets of image slices may be generated by respective image processing methods, and respective two-dimensional synthesized images are generated and combined to form a two-dimensional composite synthesized image which is presented through a display of the breast imaging system. First and second image processing may be executed on generated three-dimensional image sets or two-dimensional projection images acquired by an image acquisition component at respective angles relative to the patient's breast.

The embodiments of the present disclosure disclose methods and systems for determining a ring artifact. The method for determining the ring artifact may include: obtaining an original image; mapping a plurality of pixels in the original image to a polar coordinate image; determining a protection region in the polar coordinate image; obtaining a smooth image by smoothing at least one region in the polar coordinate image other than the protection region; generating a residual image based on the polar coordinate image and the smooth image; determining a location of the ring artifact in the original image based on the residual image. In the present disclosure, the original image may be mapped to a trapezoidal region or a triangular region in the polar coordinate image, and the gradient angle image may be used for image processing, which may reduce the influence of noise. An accurate location of the ring artifact may be determined, and information for imaging device detection and air correction may be provided.

A general workflow for deep learning based image restoration in X-ray and fluoroscopy/fluorography is disclosed. Higher quality images and lower quality images are generated as training data. This training data can further be categorized by anatomical structure. This training data can be used to train a learned model, such as a neural network or deep-learning neural network. Once trained, the learned model can be used for real-time inferencing. The inferencing can be more further improved by employing a variety of techniques, including pruning the learned model, reducing the precision of the learned mode, utilizing multiple image restoration processors, or dividing a full size image into snippets.

A radiography control apparatus includes a storage; a communicator that obtains irradiation information from an irradiation apparatus; and a hardware processor that: upon determining that the communicator obtains the irradiation information before a specific timing, executes image processing based on the irradiation information obtained from the communicator; and upon determining that the communicator does not obtain the irradiation information before the specific timing, executes the image processing based on information stored in advance in the storage.

Presented herein are systems and methods that provide for improved computer aided display and analysis of nuclear medicine images. In particular, in certain embodiments, the systems and methods described herein provide improvements to several image processing steps used for automated analysis of bone scan images for assessing cancer status of a patient. For example, improved approaches for image segmentation, hotspot detection, automated classification of hotspots as representing metastases, and computation of risk indices such as bone scan index (BSI) values are provided.

A radiation imaging system comprises: an image obtaining unit including a radiation detecting unit in which pixels configured to output signals according to a dose of irradiated radiation are arranged in a two-dimensional area, and configured to obtain a radiation image based on the signals; a correction unit configured to correct the radiation image using an input/output characteristic of a pixel, which represents a relationship between the dose of radiation on the pixel and the signal output from the pixel and is obtained using gain data based on a plurality of gain images obtained under different doses; and an updating unit configured to update the gain data using an updating coefficient obtained based on the gain data and a gain image newly obtained by the image obtaining unit.

A circuit for receiving signals from a photodetector array arranged to detect signals generated by a crystal includes a plurality of summing circuits having weighting circuits, the summing circuits being configured to produce outputs corresponding to a total energy of the signals, a position of the signals in a first dimension of the photodetector array, a position of the signals in a second dimension of the photodetector array, and a radius of a charge distribution of the signals.

A method for automated analysis of data obtained from biologic, or non-biologic, material is provided. The method includes extracting, in a visualization of the material, first shapes that combine to form a target shape. The method also includes registering the first shape of the target shape to second shapes of a generic shape, and identifying variations between the first shapes and the second shapes. A system for analyzing biologic material is provided that includes an extraction engine a registration engine an identification engine a display an atlas adapted to provide the generic shape and a database for storing the visualization of the target shape. A non-transitory computer-readable medium storing a program for analyzing biologic material is provided. The program includes instructions that, when executed by a processor, causes a processor to execute the method.