Abstract: A joint image unfolding apparatus, a joint image unfolding method, and a non-transitory computer readable recording medium storing a joint image unfolding program are provided to make it possible to check information regarding the entire cartilage in a joint with high accuracy. An image obtaining unit (21) obtains a three-dimensional image of a joint having cartilage. An unfolding unit (23) unfolds the cartilage included in the three-dimensional image with reference to a specific reference axis in the joint to generate an unfolded image.

Abstract: A processor acquires a surgical field image of a surgical field containing a target area inside the body and an ultrasound probe; acquire a first three-dimensional image based on an ultrasound image group; derive first positional relationship information indicating a position and orientation of the first three-dimensional image within the surgical field image; derive second positional relationship information indicating a positional relationship between a position within the first three-dimensional image and a position within a second three-dimensional image by performing image analysis on the first three-dimensional image and the second three-dimensional image, the second three-dimensional image having been generated on the basis of a tomographic image group; and generate a composite image with preparation information superimposed onto a corresponding position that corresponds to the target area within the surgical field image on the basis of the first positional relationship information and the second posit

Abstract: A processor of a medical support device is configured to acquire a captured image that is captured by an extracorporeal camera provided outside a body of a subject and in which a medical device whose insertion portion is inserted into the body of the subject and a marker which is provided at a portion of the medical device excluding the insertion portion and is image-recognizable are included in an imaging range; derive position and posture information including at least one of a position or a posture of the medical device in the captured image based on the marker; and execute a control of displaying, on a display unit, a composite image in which medical support information is superimposed at a position specified in the captured image based on the position and posture information.

Abstract: Provided are a medical image diagnosis system, a medical image diagnosis method, and a program which reduce a burden on a doctor in a case of performing image diagnosis on a large number of medical images, such as a health checkup. The problem is solved by a medical image diagnosis system including at least one processor, and at least one memory that stores a command to be executed by the at least one processor, in which the at least one processor performs first determination of determining whether or not a medical image obtained by imaging a subject is normal, and performs second determination of determining presence or absence of an abnormality from the medical image in a case in which it is determined that the medical image is not normal in the first determination.

Abstract: Provided are a medical image diagnosis system, a medical image diagnosis method, and a program which reduce a burden on a doctor in a case of performing image diagnosis on a large number of medical images, such as a health checkup. The problem is solved by a medical image diagnosis system including at least one processor, and at least one memory that stores a command to be executed by the at least one processor, in which the at least one processor performs first determination of determining presence or absence of an abnormality from a medical image obtained by imaging a subject, and performs second determination of determining whether or not the medical image is normal in a case in which it is determined that the abnormality is absent in the first determination.

Abstract: A first discrimination result (24A) is acquired from a first discrimination device (16A), a second discrimination result (24B) is acquired from a second discrimination device (16B) that executes second discrimination intended for the same site and the same lesion as those for which discrimination of the first discrimination device is intended, an integrated discrimination result (26) in which the first discrimination result and the second discrimination result are integrated is derived, and a degree of contribution of the first discrimination device to the integrated discrimination result and a degree of contribution of the second discrimination device to the integrated discrimination result are derived based on the integrated discrimination result and a definitive diagnosis result by a doctor.

Abstract: A processor acquires at least one finding about at least one region of interest included in a medical image, derives correspondence information in which the at least one finding and medical image information about the region of interest are associated with each other, and registers the correspondence information in a database.

Abstract: An information processing apparatus comprising at least one processor, wherein the at least one processor is configured to: acquire a document describing a subject; extract document finding information indicating a finding of the subject included in the document; and specify a finding extraction process for extracting image finding information indicating the finding indicated by the document finding information from a first image obtained by imaging the subject, among a plurality of types of finding extraction processes for extracting image finding information indicating a plurality of different types of findings that are able to be included in the first image.

Abstract: A processor encodes a target image to derive at least one first feature amount indicating an image feature for an abnormality of a region of interest included in the target image. In addition, the processor encodes the target image to derive at least one second feature amount indicating an image feature for an image in a case in which the region of interest included in the target image is a normal region.

Abstract: A brain image normalization apparatus, having a processor configured to: detect at least four reference landmarks of a left eye, a right eye, a diencephalon, a fornix, a corpus callosum, a left hippocampus, and a right hippocampus from a brain image including a brain of a subject; perform registration between the detected reference landmarks and reference landmarks corresponding to the detected reference landmarks included in a standard brain image; and normalize the brain image based on a result of the registration.

Abstract: A joint image unfolding apparatus, a joint image unfolding method, and a non-transitory computer readable recording medium storing a joint image unfolding program are provided to make it possible to check information regarding the entire cartilage in a joint with high accuracy. An image obtaining unit (21) obtains a three-dimensional image of a joint having cartilage. An unfolding unit (23) unfolds the cartilage included in the three-dimensional image with reference to a specific reference axis in the joint to generate an unfolded image.

Abstract: In a magnetic field distortion calculation apparatus, method, and program, information of magnetic field distortion inside a subject can be accurately acquired. An image acquisition unit acquires a reference image and a three-dimensional image of the head of the subject. A feature point detection unit detects a plurality of feature points from the three-dimensional image, and a virtual feature point estimation unit estimates a plurality of virtual feature points, which are to be present in the brain in the three-dimensional image, using the plurality of feature points. A magnetic field distortion information acquisition unit acquires magnetic field distortion information, which indicates spatial magnetic field distortion caused by a three-dimensional image capturing apparatus included in the three-dimensional image, by performing registration between the plurality of feature points and the plurality of virtual feature points and a plurality of reference points.

Abstract: A brain image normalization apparatus, having a processor configured to: detect at least four reference landmarks of a left eye, a right eye, a diencephalon, a fornix, a corpus callosum, a left hippocampus, and a right hippocampus from a brain image including a brain of a subject; perform registration between the detected reference landmarks and reference landmarks corresponding to the detected reference landmarks included in a standard brain image; and normalize the brain image based on a result of the registration.

Abstract: Scanning a subject with an ultrasonic probe and obtaining an ultrasonic image of the subject. Obtaining a cross-sectional image of a cross-section of a three-dimensional image corresponding to the ultrasonic image from the three-dimensional image, the three-dimensional image including a puncture line set for a puncture needle and a superimposed columnar index having a central axis line on the puncture line and opacity which is reduced with the distance from the central axis line. Displaying the ultrasonic image and the cross-sectional image. In this case, the thickness, opacity, and cross-sectional shape of the index displayed on the cross-sectional image vary according to the positional relationship between the scan plane of the ultrasonic probe and the cross-section in which the puncture line is set.

Abstract: A camera 14 acquires a background image B0, and a virtual object acquisition unit 22 acquires a virtual object S0. A display information acquisition unit 23 acquires display information indicating a position, at which the virtual object S0 is displayed, from the background image B0, and a display control unit 24 displays the virtual object S0 on a display 15 based on the display information. A change information acquisition unit 25 acquires change information for changing the display state of the virtual object S0 according to the relative relationship between a reference marker image 36 and each of the other marker images 37, among a plurality of marker images 36 and 37 for changing the display state of the virtual object S0 that are included in the background image B0. A display state change unit 26 changes the display state of the virtual object according to the change information.

Abstract: A structure extraction unit extracts a heart region from a three-dimensional image of a chest, an image display control unit displays a volume rendering of the extracted heart region, an information adding unit adds additional information such as text and voice to a VR image displayed according to desired display conditions which include an image orientation. The display conditions when the additional information is added are stored with the additional information as designated display conditions. An allowable range setting unit sets a predetermined allowable range for the designated display conditions. During subsequent display of the VR image, an information reproducing unit enables the added information to be reproduced when display conditions are within the allowable range of the designated display conditions.

Abstract: In a magnetic field distortion calculation apparatus, method, and program, information of magnetic field distortion inside a subject can be accurately acquired. An image acquisition unit acquires a reference image and a three-dimensional image of the head of the subject. A feature point detection unit detects a plurality of feature points from the three-dimensional image, and a virtual feature point estimation unit estimates a plurality of virtual feature points, which are to be present in the brain in the three-dimensional image, using the plurality of feature points. A magnetic field distortion information acquisition unit acquires magnetic field distortion information, which indicates spatial magnetic field distortion caused by a three-dimensional image capturing apparatus included in the three-dimensional image, by performing registration between the plurality of feature points and the plurality of virtual feature points and a plurality of reference points.

Abstract: A diagnostic endoscopic imaging support apparatus includes a three-dimensional image data obtaining section that obtains three-dimensional image data of a subject, a tubular tissue shape data obtaining section that extracts and obtains tubular tissue shape data representing a shape of a tubular tissue in the subject from the three-dimensional image data obtained by the three-dimensional image data obtaining section, an endoscope route data obtaining section that obtains endoscope route data representing a route of an endoscope inserted into the subject, and a matching section that performs matching between the tubular tissue shape data and the endoscope route data.

Abstract: A region extraction unit extracts first and second shape-invariant regions corresponding to each other from first and second three-dimensional images acquired by an MRI apparatus. A first registration unit acquires a first deformation vector by performing rigid registration between the first and second shape-invariant regions. A second registration unit acquires a second deformation vector by performing non-rigid registration between the first and second three-dimensional images in each shape-invariant region. A magnetic field distortion vector calculation unit calculates a magnetic field distortion vector, which represents relative magnetic field distortion between the first and second three-dimensional images based on the first and second deformation vectors.

Abstract: A second registration unit performs registration between an intraoperative live view obtained by an image obtaining unit and an associated image obtained by an associated image obtaining unit. At this time, the second registration unit extracts a plurality of feature points corresponding to one another from a registered intraoperative image registered with the associated image and a newly obtained intraoperative image, sets priority levels on the feature points corresponding to one another based on the associated image, obtains positional information indicating a relative positional difference between the registered intraoperative image and the newly obtained intraoperative image based on the feature points with the priority levels set thereon, and performs registration between the associated image and the newly obtained intraoperative image based on the positional information.