Abstract: A program causes a computer communicatively connected to an endoscope apparatus provided with a master endoscope and a slave endoscope to execute processing, including acquiring a master endoscope image of a subject from the master endoscope, acquiring a slave endoscope image of the subject from the slave endoscope, and correcting a color tone of at least either one endoscope image of the master endoscope image and the slave endoscope image so as to reduce a difference in color tone between the master endoscope image and the slave endoscope image that have been acquired.

Abstract: An endoscope processor according to one aspect includes an image acquisition unit that acquires a captured image from an endoscope, a first correction unit that corrects the captured image acquired by the image acquisition unit, a second correction unit that corrects the captured image acquired by the image acquisition unit, and an output unit that outputs an endoscopic image based on the captured image corrected by the first correction unit and a recognition result using a trained image recognition model in which the recognition result is output in a case where the captured image corrected by the second correction unit is input.

Abstract: Provided are an endoscope system, a processor, a diagnostic support method, and a computer program. A plurality of images are captured at different focal positions on an object, an evaluation value indicating a degree of focus is calculated for each of corresponding sub-regions among the plurality of captured images, a captured image including a sub-region having the highest degree of focus is determined among the plurality of captured images based on the calculated evaluation value, a distance to a region on the object corresponding to the sub-region is calculated, distance information is generated by calculating a distance to a plurality of regions on the object corresponding to the sub-region, a feature region is extracted from the captured image, diagnostic support information for the object is generated based on the distance information and a feature parameter associated with the feature region, and the generated diagnostic support information is output.

Abstract: A program causes a computer to execute processing including acquiring endoscopic images obtained by capturing images of a subject by a plurality of imaging units arranged on an end surface and a peripheral surface of a tubular distal end portion provided in an insertion portion of an endoscope, generating a composite image obtained by combining a plurality of the captured endoscopic images so as to form a view of an entire circumferential direction including a front visual field and a rear visual field with respect to the distal end portion, acquiring an insertion distance and a rotation angle of the endoscope inserted into a body of the subject at a time point when the endoscopic images are captured, and outputting the composite image in association with the acquired insertion distance and rotation angle of the endoscope.

Abstract: A program causes a computer to perform processing of: acquiring an endoscopic image obtained by capturing a subject using an endoscope; extracting region-of-interest information from the acquired endoscopic image; acquiring a three-dimensional medical image obtained by capturing an inside of a body of the subject using at least one of X-ray CT, X-ray cone beam CT, MRI-CT, and an ultrasonic diagnostic device; deriving position information in a coordinate system of the three-dimensional medical image specified by the region-of-interest information and the three-dimensional medical image; and storing the region-of-interest information and the three-dimensional medical image in association with each other based on the derived position information and a capturing time point of each of the endoscopic image and the three-dimensional medical image.

Abstract: An endoscope includes: an image sensor in which a color filters having two or more colors is disposed at an imaging position and has a predetermined array pattern; and a correction processing unit configured to repeatedly perform processing of changing a target pixel value at a target imaging position to a median value between a neighboring pixel value and the target pixel value, while changing the target imaging position, when a pixel value at a neighboring imaging position near the target imaging position including at least two most neighboring imaging positions on a row closest to the target imaging position with the target imaging position interposed therebetween at an imaging position of a color filter, which is on a row along one direction identical to the target imaging position in image data output from the image sensor, and has a same color as a color filter at the target imaging position, is set as a neighboring pixel value.

Abstract: In order to reduce a driving frequency of a wiper configured to wipe a surface of an optical member on a front surface of a photographing lens, an imaging device includes: a lens; an optical member provided on a front surface side of the lens; a wiper configured to wipe a surface of the optical member, and at least one processor or circuit which functions as a detection unit configured to detect at least one of a focal length of the lens, an aperture value, and a subject size; and a control unit configured to drive the wiper so that a driving frequency of the wiper is reduced as the focal length becomes longer, the aperture value becomes smaller, or the subject size becomes larger.

Abstract: There is provided a program causing a computer to execute processing including: acquiring an endoscopic image of a subject from an endoscope; acquiring a three-dimensional medical image obtained by capturing an image of an internal body portion of the subject by means of X-ray CT, X-ray cone beam CT, MRI-CT, or an ultrasonic diagnosis apparatus configured to capture a three-dimensional image of an internal body portion of the subject; generating a virtual endoscopic image reconfigured from the three-dimensional medical image, based on the acquired endoscopic image; calculating distance image information in the endoscopic image based on the virtual endoscopic image and the endoscopic image; and outputting operation assistance information on an operation of the endoscope based on the distance image information and the three-dimensional medical image.

Abstract: A program causes a computer to execute processing including: acquiring an endoscope image captured by an endoscope; inputting the acquired endoscope image into a plurality of learning models learned so as to output diagnosis support information regarding a lesion included in the endoscope image; acquiring a plurality of pieces of diagnosis support information output from each of the learning models; and outputting a plurality of pieces of the acquired diagnosis support information and information regarding each of the learning models in association with each other. Alternatively, the program causes the computer to execute the processing of inputting the acquired endoscope image into one learning model, executing a plurality of determination logics to acquire a plurality of pieces of output diagnosis support information, and outputting a plurality of pieces of the acquired diagnosis support information and information regarding each of the learning models in association with each other is executed.

Abstract: Provided are an endoscope system, a processor, a diagnostic support method, and a computer program. A plurality of images are captured at different focal positions on an object, an evaluation value indicating a degree of focus is calculated for each of corresponding sub-regions among the plurality of captured images, a captured image including a sub-region having the highest degree of focus is determined among the plurality of captured images based on the calculated evaluation value, a distance to a region on the object corresponding to the sub-region is calculated, distance information is generated by calculating a distance to a plurality of regions on the object corresponding to the sub-region, a feature region is extracted from the captured image, diagnostic support information for the object is generated based on the distance information and a feature parameter associated with the feature region, and the generated diagnostic support information is output.

Abstract: A processor for an endoscope includes: an endoscopic image acquisition unit that acquires an endoscopic image of a patient from the endoscope; a virtual endoscopic image acquisition unit that acquires a virtual endoscopic image reconstructed on the basis of a three-dimensional medical image obtained by capturing an image of the patient in advance; a virtual endoscopic image reconstruction unit that reconstructs a corrected virtual endoscopic image that matches most with the endoscopic image on the basis of the degree of matching between the virtual endoscopic image and the endoscopic image; and a diagnosis support information output unit that outputs diagnosis support information based on a feature parameter corrected according to a correspondence between each pixel of the endoscopic image and a distance image obtained from the corrected virtual endoscopic image.

Abstract: An endoscope processor according to one aspect includes an image acquisition unit that acquires a captured image from an endoscope, a first correction unit that corrects the captured image acquired by the image acquisition unit, a second correction unit that corrects the captured image acquired by the image acquisition unit, and an output unit that outputs an endoscopic image based on the captured image corrected by the first correction unit and a recognition result using a trained image recognition model in which the recognition result is output in a case where the captured image corrected by the second correction unit is input.

Abstract: In order to reduce a driving frequency of a wiper configured to wipe a surface of an optical member on a front surface of a photographing lens, an imaging device includes: a lens; an optical member provided on a front surface side of the lens; a wiper configured to wipe a surface of the optical member, and at least one processor or circuit which functions as a detection unit configured to detect at least one of a focal length of the lens, an aperture value, and a subject size; and a control unit configured to drive the wiper so that a driving frequency of the wiper is reduced as the focal length becomes longer, the aperture value becomes smaller, or the subject size becomes larger.

Abstract: A lens barrel that achieves modes with and without an optical element while reducing a size in an optical axis direction. A first drive mechanism moves a first optical element in the optical axis direction. A second optical element is located at an image surface side of the first optical element and is selectively inserted in an optical path. A second drive mechanism moves a holding member that holds the second optical element in a direction different from an optical axis. A control unit controls the first drive mechanism to move the first optical element to an object side to a position where the first optical element and the holding member are not in an overlap state when viewing in a direction perpendicular to the optical axis, controls the second drive mechanism to remove the second optical element from the optical path, when they are in the overlap state.

Abstract: A lens barrel that achieves modes with and without an optical element while reducing a size in an optical axis direction. A first drive mechanism moves a first optical element in the optical axis direction. A second optical element is located at an image surface side of the first optical element and is selectively inserted in an optical path. A second drive mechanism moves a holding member that holds the second optical element in a direction different from an optical axis. A control unit controls the first drive mechanism to move the first optical element to an object side to a position where the first optical element and the holding member are not in an overlap state when viewing in a direction perpendicular to the optical axis, controls the second drive mechanism to remove the second optical element from the optical path, when they are in the overlap state.

Abstract: A lens barrel includes a movable lens unit movable in an optical-axis direction, an actuator configured to move the movable lens unit in the optical-axis direction, a guide member configured to guide the movable lens unit in the optical-axis direction, and a guide-member-holding portion holding the guide member. The guide member is held by the guide-member-holding portion with one end thereof being in a press-fitted state and the other end thereof being in a non-press-fitted state.

Abstract: The present invention aims to realize an improvement in image quality of a two-dimensional display extracted from a three-dimensional display image such as continuous tomographic images which tomographic images at a conventional scan or the like of an X-ray CT apparatus having a two-dimensional X-ray area detector of a matrix structure typified by a multi-row X-ray detector or a flat panel X-ray detector are arranged in a z direction corresponding to an imaging table travel direction. For the purpose, an image display apparatus of the present invention comprises image filter processing device for preforming a image filter processing on the three-dimensional image, wherein said image filter process varies depending on a cross sectional direction of said two-dimensional image to be displayed.

Abstract: The present invention is intended to improve the quality of a three-dimensional display image, an MPR display image, or an MIP display image presented by an X-ray CT system that performs a conventional (axial) scan, a cine scan, or a helical scan. The X-ray CT system includes an image reconstruction unit or an image display unit. The image reconstruction unit or image display unit measures deviations of tomographic images in an x direction that is a horizontal direction and deviations thereof in a y direction that is a vertical direction according to the continuity in a z direction of an object that exhibits high CT numbers and that is visualized as a reference in the tomographic images; such as, a cradle, a head holder, the surface of a subject's body, or a bone. The image reconstruction unit or image display unit then compensates the deviations.

Abstract: An X-ray CT apparatus includes an X-ray irradiation unit for applying X-rays based on a first X-ray tube voltage and X-rays based on a second X-ray tube voltage to a subject by being switched every one view, a projection data acquisition unit for acquiring projection data by which X-ray tube voltage information about the applied X-rays are identified, and an image reconstruction unit for identifying first energy projection data based on the first X-ray tube voltage, second energy projection data based on the second X-ray tube voltage, and transient energy projection data acquired upon switching between the first and second X-ray tube voltages based on the X-ray tube voltage information, the image reconstruction unit including a conversion processor that converts the transient energy projection data to another data using the transient energy projection data and performs image reconstruction using the data subsequent to the conversion process.

Abstract: For the purpose of providing an X-ray tomographic imaging apparatus for displaying a dual-energy image to facilitate diagnosis by an operator, an X-ray tomographic imaging apparatus (10) comprises: an image comparison information calculating section (24) for calculating image comparison information between said first-energy projection dataset(LD) or first-energy tomographic image(LT) and said second-energy projection dataset(HD) or second-energy tomographic image(HT); a region-of-interest defining section (23) for defining a region of interest; a weighting factor determining section (25-2) for determining a weighting factor for use in weighted subtraction processing between said first-energy projection dataset or first-energy tomographic image and said second-energy projection dataset or second-energy tomographic image, such that said image comparison information in said region of interest can be substantially eliminated by conducting said weighted subtraction processing; and a dual-energy image reconstructin