A dynamic image processing device including: a receiver configured to receive order information of dynamic image photography; an acquirer configured to acquire a dynamic image that is obtained by performing the dynamic image photography; and a hardware processor configured to select a scattered radiation component removal process to be used in the dynamic image, based on the order information.

A radiological imaging apparatus is provided that includes a radiation source for emitting radiation, a radiation detector positioned to receive radiation emitted by the radiation source and generate radiation data, wherein the radiation data comprises a primary component and a secondary component, and a data processing system. The data processing system is configured to apply image transforms to the primary component using generating functions, build a scatter model basis using the transforms, adjust parameters in the scatter model to fit scatter using the scatter model basis, generate an estimated scatter image by using the fitted scatter model, and modify the radiation data using the scatter image to decrease the scatter in the radiation data thereby generating a scatter corrected image.

A nuclear medicine diagnosis apparatus according to an embodiment includes a processing circuit. The processing circuit is configured: to obtain coincidence data including a direct incidence event to a gamma ray detector and a scattering event in a subject; to obtain an electron density function of the subject and geometric information of the gamma ray detector; to estimate a first probability value corresponding to the direct incidence event in the subject and a second probability value corresponding to the scattering event, based on one or both of the electron density function and the geometric information; and to reconstruct a Positron Emission Tomography (PET) image based on the first probability value, the second probability value, and the coincidence data. The processing circuit is configured to reconstruct the PET image based on a system matrix that is based on the first probability value and the second probability value.

Method include emitting x-rays from an x-ray source, directing a first portion of the x-rays through an object grating situated adjacent to an object while the object is scanned relative to the object grating along a scan direction, directing a second portion of the x-rays through the object and subsequently through a detector grating without transmitting through the object grating, wherein the object grating and detector grating are adjacently arranged in a field of view of the x-rays sequentially with respect to each other in the scan direction, and receiving the first portion transmitted through the object and object grating with a first portion of a detector and receiving the second portion transmitted through the object and the detector grating with a second portion of the detector adjacent to the first portion of the detector. Systems are also disclosed, along with related techniques for beam hardening correction.

The disclosure relates to an X-ray imaging system for acquiring two-dimensional or three- dimensional images of a subject. A relative position of an X-ray emitting region, as seen in a coordinate system which is stationary relative to an anti-scatter arrangement and/or an X-ray sensitive surface is controlled so that a first and a second image are acquired at different relative positions of the X-ray emitting region relative to the anti-scatter arrangement and/or the X-ray sensitive surface (10). A data processing system of the imaging system generates an output image, based on each of the images. In the output image, artefacts generated by the anti-scatter arrangement, are reduced, suppressed or eliminated compared to the first and the second image.

A method, system, and computer readable medium to perform nuclear medicine scatter correction estimation, sinogram estimation and image reconstruction from emission and attenuation correction data using deep convolutional neural networks. In one embodiment, a Deep Convolutional Neural network (DCNN) is used, although multiple neural networks can be used (e.g., for angle-specific processing). In one embodiment, a scatter sinogram is directly estimated using a DCNN from emission and attenuation correction data. In another embodiment a DCNN is used to estimate a scatter-corrected image and then the scatter sinogram is computed by a forward projection.

A radiation diagnostic device according to an aspect of the present invention includes a first detector, a second detector, and processing circuitry. The first detector detects Cherenkov light that is generated when radiation passes. The second detector is disposed to be opposed to the first detector on a side distant from a generation source of the radiation, and detects energy information of the radiation. The processing circuitry specifies Compton scattering events detected by the second detector, and determines an event corresponding to an incident channel among the specified Compton scattering events based on a detection result obtained by the first detector.

Methods and systems are provided for molecular breast imaging. In one embodiment, a method for nuclear medicine imaging comprises: during an acquisition of emission data from an anatomy of interest, calculating an average counts per pixel in non-target tissue; and responsive to the average counts per pixel reaching a threshold, automatically stopping the acquisition. In this way, an amount of time spent by a patient undergoing an MBI procedure is optimized for the patient.

When performing processing for eliminating scattered radiation included in radiation transmitted through a subject on a radiation image captured by irradiating the subject with radiation, an imaging condition acquisition unit acquires imaging conditions, and a distance information acquisition unit acquires distance information representing the distance between the subject and a radiation detector. A scattered radiation information acquisition unit acquires scattered radiation component information representing a scattered radiation component of radiation included in the radiation image based on at least the imaging conditions, and a correction unit corrects the scattered radiation component information based on the distance information. A scattered radiation elimination unit performs scattered radiation elimination processing of the radiation image based on the corrected scattered radiation component information.

A frequency resolution unit performs frequency resolution of a radiographic image to generate band images representing frequency components in a plurality of frequency bands. A reference image generation unit generates a reference image representing information associated with scattered radiation included in the radiographic image, and generates a plurality of band reference images corresponding to a plurality of frequency bands from the reference image. A band image conversion unit performs conversion between the corresponding pixels of the band reference images and the band images in the corresponding frequency bands to generate converted band images. A synthesis unit synthesizes the converted band images to generate a processed radiographic image with converted contrast.