Fujifilm Corporation

Wataru Fukuda

Junya Morita

Takao Kuwabara

An image processing apparatus includes at least one processor that is configured to: acquire a low-energy image captured by a radiography apparatus by emitting radiation having first energy to a subject into which a contrast medium has been injected, and a plurality of high-energy images captured by the radiography apparatus by emitting radiation having second energy higher than the first energy at a plurality of different imaging timings after the injection of the contrast medium, and generate a second difference image showing a difference between a plurality of first difference images showing a difference of the low-energy image and each of the plurality of high-energy images to remove a pixel value corresponding to the contrast medium that has permeated outside a region of interest.

Image processing apparatus, image processing method, and image processing program

A processor of an image processing device acquires a low-energy image captured by irradiating an object, into which a contrast medium has been injected, with radiation having first energy emitted from a radiation source and detecting the radiation with a radiation detector, a high-energy image captured by irradiating the object with radiation having second energy higher than the first energy emitted from the radiation source and detecting the radiation with the radiation detector, and a first difference image indicating a difference between the high-energy image and the low-energy image, specifies an artifact region including an artifact from the first difference image, and generates a second difference image which indicates the difference between the high-energy image and the low-energy image and in which an influence of an artifact component caused by the artifact has been suppressed on the basis of the artifact region.

Image processing device, image processing method, and image processing program to reduce influence of artifacts in contrast imaging

An information processing apparatus includes at least one processor that is configured to: acquire a low-energy image captured by a radiography apparatus by emitting radiation having first energy to a subject into which a contrast medium has been injected, and each of a plurality of high-energy images captured by the radiography apparatus at different timings by emitting radiation having second energy higher than the first energy to the subject into which the contrast medium has been injected, and generate a plurality of difference images showing a difference between the low-energy image and each of the plurality of high-energy images.

Information processing apparatus, information processing method, and information processing program

An image processing device acquires a plurality of projection images, inputs the acquired plurality of projection images to a tomographic image estimation model, which is a trained model generated by performing machine learning on a machine learning model using learning data composed of a set of correct answer data that is three-dimensional data indicating a three-dimensional structure and of a plurality of virtual projection images, onto which the three-dimensional structure has been projected by performing pseudo-projection on the three-dimensional structure with radiation at a plurality of virtual irradiation positions using the three-dimensional data, and which receives the plurality of projection images as an input and outputs an estimated tomographic image group, and acquires the estimated tomographic image group output from the tomographic image estimation model.

Image processing device, learning device, radiography system, image processing method, learning method, image processing program, and learning program

A control apparatus including at least one processor that is configured to: capture a low-energy image by a radiography apparatus by emitting radiation having first energy to a subject into which a contrast medium has been injected, and then sequentially acquires each of a plurality of high-energy images captured by the radiography apparatus at different timings by emitting radiation having second energy higher than the first energy to the subject into which the contrast medium has been injected, sequentially derive a body movement amount of the subject from each of the plurality of high-energy images, and perform, in a case in which the derived body movement amount exceeds a threshold value, control of causing the radiography apparatus to re-capture the low-energy image before a next high-energy image is captured.

Control apparatus, control method, and control program

An image processing apparatus acquires a first low-energy image and a first high-energy image captured in a state in which a grid for removing scattered rays is inserted between a radiation source and a radiation detector, and the radiation source is disposed at a first position at which an incidence direction of radiation is a normal direction with respect to the grid, acquires a second low-energy image and a second high-energy image captured in a state in which the grid retreats from between the radiation source and the radiation detector, and the radiation source is disposed at a second position, estimates a thickness of the subject from the first low-energy image and the first high-energy image, and generates a difference image indicating a difference between the second high-energy image and the second low-energy image from the second low-energy image and the second high-energy image based on the thickness.

A CPU of a console acquires a plurality of projection images, acquires a plurality of tomographic images which are generated using the plurality of projection images and which correspond to each of a plurality of tomographic planes of a breast, performs pseudo-projection at set irradiation positions corresponding to each of the irradiation positions of the plurality of projection images, using a group of tomographic images other than a tomographic image including a reference object image indicating a reference object which is used as a reference for deriving a positional deviation amount between the projection images among the plurality of tomographic images, to generate a plurality of pseudo-projection images without a reference object which do not include the reference object image, and derives the positional deviation amount between the projection images on the basis of component-removed images which include the reference object image and which are obtained by removing components of the plurality of pseudo-projection images without a reference object from the plurality of projection images.

Image processing device, radiography system, image processing method, and image processing program

An image processing apparatus including: an acquisition unit that acquires a first radiographic image captured by irradiating a subject, in which a contrast agent is administered, with radiation of a first energy and a second radiographic image captured by irradiating the subject with radiation of a second energy; a generation unit that generates a difference image between the first and the second radiographic image; and a correction unit that performs a correction on either one of the first and second radiographic images or the difference image to remove an artifact component which generates an artifact predetermined as an appearance similar to that of a contrast agent imaging by the contrast agent, wherein, in a case in which the correction unit performs the correction on the first and the second radiographic image, the generation unit generates a difference image between the corrected first and second radiographic image.

A CPU acquires projection images captured at each irradiation position in a state in which a marker is disposed and set irradiation positions set as the irradiation positions of the projection images, generates a tomographic image from the projection images using the set irradiation positions, derives the coordinates of a three-dimensional position where the marker is disposed from the tomographic image, derives a first two-dimensional position of the marker projected onto the projection plane from the set irradiation positions and the coordinates of the three-dimensional position of the marker, and estimates the irradiation positions on the basis of the first two-dimensional position and a second two-dimensional position of the marker in the projection plane which is specified from a marker image indicating the marker included in each of the projection images.

An image processing device generates a tomographic image group from a plurality of projection images, inputs the generated tomographic image group to a tomographic image estimation model, which is a trained model generated by performing machine learning on a machine learning model using learning data composed of a set of correct answer data that is three-dimensional data indicating a three-dimensional structure and of a virtual tomographic image group generated from a plurality of virtual projection images, onto which the three-dimensional structure has been projected by performing pseudo-projection on the three-dimensional structure with radiation at a plurality of virtual irradiation positions using the three-dimensional data, and which receives the tomographic image group as an input and outputs an estimated tomographic image group, and acquires the estimated tomographic image group output from the tomographic image estimation model.

A CPU of a console acquires a plurality of projection images, performs an optimization process on a forward projection model, which has, as parameters, an absorption coefficient assigned to each voxel of a three-dimensional model that is virtually set in a three-dimensional space in which the object is disposed and has a plurality of voxels as constituent units, an intersection length of each voxel where a path of radiation emitted at an irradiation position intersects the three-dimensional model, and an amount of movement of the object, on the basis of the projection images at each of a plurality of irradiation positions, and generates a tomographic image of the object using the optimized parameters.

An image interpretation support apparatus includes an acquisition unit, an acceptance unit, and a specifying unit. The acquisition unit acquires a two-dimensional standard image having information on a breast, and a plurality of tomographic images in a plurality of tomographic planes of the breast which are obtained by tomosynthesis imaging of the breast. The acceptance unit accepts a selection instruction of a location on the two-dimensional standard image. In a case where the selection instruction is accepted in the acceptance unit, the specifying unit specifies a corresponding tomographic plane corresponding to a selected location which is the location of which the selection instruction is accepted in the acceptance unit, from among the plurality of tomographic planes on the basis of the plurality of tomographic images.

Image interpretation support apparatus, and operation program and operation method thereof

A combination unit generates a plurality of composite two-dimensional images from a plurality of tomographic images acquired by performing tomosynthesis imaging on an object using different generation methods. In this case, the combination unit generates a first composite two-dimensional image having a quality corresponding to a two-dimensional image acquired by simple imaging or a second composite two-dimensional image in which a structure included in the object has been highlighted as at least one of the plurality of composite two-dimensional images.

Image processing device, image processing method, image processing program, image display device, image display method, and image display program

An image processing system comprising includes: an acquisition unit that acquires a plurality of projection images obtained by tomosynthesis imaging in which radiation is emitted from a radiation source to a breast at different irradiation angles and a projection image is captured at each irradiation angle by a radiation detector; a tomographic image generation unit that generates a plurality of tomographic images in each of a plurality of tomographic planes of the breast, from the plurality of projection images; a composite two-dimensional image generation unit that generates a composite two-dimensional image from a plurality of images selected from among the plurality of projection images and the plurality of tomographic images; an information generation unit that generates correspondence relationship information representing a correspondence relationship between a position in the composite two-dimensional image and a depth of a tomographic plane corresponding to the position; a display controller that performs control of causing a display device to display the composite two-dimensional image; an acceptance unit that accepts region information representing a designated region designated with respect to the composite two-dimensional image displayed on the display device; and a designated tomographic image generation unit that generates, as a designated tomographic image, a tomographic image in a tomographic plane at a depth which corresponds to the designated region in the composite two-dimensional image and is specified on the basis of the correspondence relationship information, in a case where the acceptance unit accepts the region information, wherein in a case where the designated tomographic image is generated, the display controller further performs control of causing the display device to display the generated designated tomographic image.

Image processing system, image processing method, and image processing program

A display control unit displays, on a display unit, at least some of a plurality of images included in each of a plurality of image sets of the same object which have been captured at different imaging dates and times and each of which consists of the plurality of images including at least a plurality of tomographic images acquired by performing tomosynthesis imaging for the object. A setting unit sets at least one past image set, which was acquired at an imaging date and time before the latest imaging date and time and includes images at least some of which have been displayed, among the plurality of image sets as having been displayed.

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Kanagawa, Japan

Wataru Fukuda