Abstract: A dynamic image analysis apparatus includes a hardware processor, and an outputter. The hardware processor obtains a dynamic image of a chest portion obtained by dynamic imaging by radiation. The hardware processor performs a first generating process in which information regarding pleural adhesion is generated based on a motion amount in a region including at least a region adjacent to a rib cage in a lung region in the dynamic image. The outputter outputs the generated information regarding the pleural adhesion.

Abstract: A dynamic image analysis apparatus includes a hardware processor; and an outputter. The hardware processor obtains a dynamic image of a chest portion obtained by dynamic imaging by radiation. The hardware processor performs a first generating process in which information regarding pleural adhesion is generated based on a motion amount in a region including at least a region adjacent to a rib cage in a lung region in the dynamic image. The outputter outputs the generated information regarding the pleural adhesion.

Abstract: An image display apparatus includes: an input-output interface that obtains medical images of a same target region taken through serial radiography along a time axis; and a hardware processor that: executes a time-series replay display of the medical images obtained by the input-output interface, and displays a position reference at a fixed position on a screen, the position reference being superimposed on each of the medical images during the replay display.

Abstract: An image analysis apparatus includes a hardware processor that: receives a dynamic image that includes a plurality of frame images taken by dynamically radiographing an expiratory state of a subject including a trachea; sets an inside of a chest cavity in each of the plurality of frame images, as an intrathoracic region; extracts tracheal walls from the plurality of frame images; and gauges a tracheal diameter from the tracheal walls in the intrathoracic region.

Abstract: Provided is a dynamic analysis apparatus that predicts a respiratory function value based on frame images showing dynamics of chest. The dynamic analysis apparatus includes a hardware processor that obtains a first lung size value of a removal target site and a second lung size value of a left or right lung field including the removal target site, calculates a proportion between the first and second lung size values as a size proportion, calculates a first feature amount concerning respiratory function of the left or right lung field including the removal target site and a second feature amount concerning respiratory function of the lung fields as a whole, calculates a proportion between the first and second feature amounts as a feature amount proportion, and calculates an expected rate of the respiratory function without the removal target site, based on a product of the size proportion and the feature amount proportion.

Abstract: An image display apparatus includes: an input-output interface that obtains medical images of a same target region taken through serial radiography along a time axis; and a hardware processor that: executes a time-series replay display of the medical images obtained by the input-output interface, and displays a position reference at a fixed position on a screen, the position reference being superimposed on each of the medical images during the replay display.

Abstract: A dynamic image control apparatus includes a hardware processor. The hardware processor obtains a plurality of frame images showing a dynamic state of a subject, identifies, from the plurality of frame images, a movement decrease region of a predetermined structure by user input or detection from the plurality of frame images, and performs control to attach accessory information to the plurality of frame images. The accessory information indicates the movement decrease region.

Abstract: An image display apparatus includes: a hardware processor that obtains frame images showing a dynamic state of a subject; and a display that displays accessory information indicating a movement decrease region with respect to the obtained frame images, the accessory information being superimposed on consecutive frame images of the frame images.

Abstract: A dynamic image analysis apparatus includes a hardware processor; and an ouputter. The hardware processor obtains a dynamic image of a chest portion obtained by dynamic imaging by radiation. The hardware processor performs a first generating process in which information regarding pleural adhesion is generated based on a motion amount in a region including at least a region adjacent to a rib cage in a lung region in the dynamic image. The outputter outputs the generated information regarding the pleural adhesion.

Abstract: A dynamic image analysis apparatus includes a hardware processor that acquires an X-ray dynamic image including continuous frame images acquired by continuously capturing a living body having a heartbeat in time series; performs logarithmic conversion for a pixel value of the acquired X-ray dynamic image to create a logarithmically converted image; sets, as a reference frame image, one frame image based on a heartbeat phase in at least one of the X-ray dynamic image and the logarithmically converted image; calculates (i) a difference or ratio between the X-ray dynamic image as the reference frame image and the X-ray dynamic image as a comparative frame image which is another frame image or (ii) a difference or ratio between the logarithmically converted image as the reference frame image and the logarithmically converted image as the comparative frame image; and generates a blood flow analysis image.

Abstract: A dynamic image processing method in a dynamic image processing device performing an image processing of a dynamic image includes a setting step of setting a reference motion, a corresponding point setting step of setting a corresponding point according to the reference motion among frame images of the dynamic image for each pixel of the dynamic image, a determination step of determining an enhancement degree of each pixel of each of the frame images of the dynamic image based on equality of a density distribution in a target time range of a small region surrounding the corresponding point set for each pixel at the corresponding point setting step; and an enhancement/attenuation processing step of performing enhancement processing or attenuation processing to each of the frame images of the dynamic image based on the enhancement degree determined at the determination step.

Abstract: A dynamic analysis apparatus includes a hardware processor. The hardware processor is configured to perform the following, calculate a prediction rate multiplied by a respiratory function value of the subject in predicting the respiratory function value when an exclusion target portion is excluded; obtain input of the exclusion target portion in an anatomical unit from the input unit, based on the anatomical unit, specify a partial region of the lung field in which a characteristic amount relating to a respiratory function in the plurality of frame images is calculated, calculate the characteristic amount related to the respiratory function in the partial region of the lung field specified from the plurality of frame images and the characteristic amount related to the respiratory function of an entire lung field, and calculate the prediction rate based on a characteristic amount ratio which is a ratio of the two calculated characteristic amounts.

Abstract: A dynamic image processing apparatus includes: a hardware processor that: extracts a lung-field region from at least one of a plurality of frame images of a chest dynamic image obtained by radiographing a dynamic state of a chest of an examinee; sets a feature point in a position that moves according to a movement of a lung field due to respiration in the lung-field region extracted by the hardware processor; searches a frame image other than a frame image in which the feature point has been set for a corresponding point that corresponds to the feature point set by the hardware processor, and estimates a correspondence relationship of each pixel in the lung-field region among the plurality of frame images in accordance with a positional relationship between the feature point set by the hardware processor and the corresponding point searched for by the hardware processor.

Abstract: A dynamic analysis apparatus includes a hardware processor. The hardware processor is configured to perform the following, calculate a prediction rate multiplied by a respiratory function value of the subject in predicting the respiratory function value when an exclusion target portion is excluded; obtain input of the exclusion target portion in an anatomical unit from the input unit, based on the anatomical unit, specify a partial region of the lung field in which a characteristic amount relating to a respiratory function in the plurality of frame images is calculated, calculate the characteristic amount related to the respiratory function in the partial region of the lung field specified from the plurality of frame images and the characteristic amount related to the respiratory function of an entire lung field, and calculate the prediction rate based on a characteristic amount ratio which is a ratio of the two calculated characteristic amounts.

Abstract: Provided is a dynamic analysis apparatus that predicts a respiratory function value based on frame images showing dynamics of chest. The dynamic analysis apparatus includes a hardware processor that obtains a first lung size value of a removal target site and a second lung size value of a left or right lung field including the removal target site, calculates a proportion between the first and second lung size values as a size proportion, calculates a first feature amount concerning respiratory function of the left or right lung field including the removal target site and a second feature amount concerning respiratory function of the lung fields as a whole, calculates a proportion between the first and second feature amounts as a feature amount proportion, and calculates an expected rate of the respiratory function without the removal target site, based on a product of the size proportion and the feature amount proportion.

Abstract: A dynamic image analysis apparatus includes a hardware processor that acquires an X-ray dynamic image including continuous frame images acquired by continuously capturing a living body having a heartbeat in time series; performs logarithmic conversion for a pixel value of the acquired X-ray dynamic image to create a logarithmically converted image; sets, as a reference frame image, one frame image based on a heartbeat phase in at least one of the X-ray dynamic image and the logarithmically converted image; calculates (i) a difference or ratio between the X-ray dynamic image as the reference frame image and the X-ray dynamic image as a comparative frame image which is another frame image or (ii) a difference or ratio between the logarithmically converted image as the reference frame image and the logarithmically converted image as the comparative frame image; and generates a blood flow analysis image.

Abstract: A dynamic image processing method in a dynamic image processing device performing an image processing of a dynamic image includes a setting step of setting a reference motion, a corresponding point setting step of setting a corresponding point according to the reference motion among frame images of the dynamic image for each pixel of the dynamic image, a determination step of determining an enhancement degree of each pixel of each of the frame images of the dynamic image based on equality of a density distribution in a target time range of a small region surrounding the corresponding point set for each pixel at the corresponding point setting step; and an enhancement/attenuation processing step of performing enhancement processing or attenuation processing to each of the frame images of the dynamic image based on the enhancement degree determined at the determination step.

Abstract: A dynamic image processing apparatus includes: a hardware processor that: extracts a lung-field region from at least one of a plurality of frame images of a chest dynamic image obtained by radiographing a dynamic state of a chest of an examinee; sets a feature point in a position that moves according to a movement of a lung field due to respiration in the lung-field region extracted by the hardware processor; searches a frame image other than a frame image in which the feature point has been set for a corresponding point that corresponds to the feature point set by the hardware processor, and estimates a correspondence relationship of each pixel in the lung-field region among the plurality of frame images in accordance with a positional relationship between the feature point set by the hardware processor and the corresponding point searched for by the hardware processor.

Abstract: An image processing apparatus of the present invention includes an image analysis unit that performs image analysis processing on a plurality of frame images constituting a base dynamic image to obtain an overall analysis value, a statistical analysis unit that performs statistical analysis processing on a diagnostic region using the overall analysis value to obtain a first analysis value, a reference statistical value generating unit that outputs a reference statistical value, and a display unit that displays the first analysis value and the reference statistical value together.

Abstract: A dynamic image processor which measures a position of a structure in a plurality of frame images obtained by dynamic imaging, the dynamic image processor including a hardware processor which calculates an evaluation value indicating similarity to the structure for each position in each of the frame images, extracts at least one position candidate of the structure from each of the frame images based on the evaluation value, extracts a plurality of position candidates from at least one of the frame images, stores a plurality of route candidates in a storage by chronologically linking the position candidate extracted from each of the frame images to be a route candidate, determines one of the route candidates as a movement route of the structure, and determines the position candidate included in the determined route as the position of the structure in each of the frame images.