Abstract: An ophthalmic system of an embodiment includes a slit lamp microscope, three dimensional image constructing unit, rendering processor, display controller, report creating unit, and report output unit. The slit lamp microscope includes a front image acquiring unit that photographs an anterior eye segment to acquire a front image, and an image collecting unit that photographs the anterior eye segment with slit light to collect a plurality of images. The three dimensional image constructing unit constructs a three dimensional image based on the collected images. The rendering processor applies rendering to the three dimensional image to construct a rendered image. The display controller displays the front image and the rendered image on a display device. The report creating unit includes a user interface used for creating a report on information displayed. The report output unit outputs the report.

Abstract: A slit lamp microscope of some embodiment examples includes an illumination system, first photographing system, first movement mechanism, and controller. The illumination system includes a slit forming unit that forms a slit for generating slit light and projects the slit light onto an anterior segment of a subject's eye from a first direction. The first photographing system photographs the anterior segment onto which the slit light is being projected, from a second direction different from the first direction. The first movement mechanism moves a movable portion that includes at least the slit forming unit. The controller performs a first control for the first movement mechanism to move the movable portion and a second control for the first photographing system to photograph the anterior segment a plurality of times in parallel with each other.

Abstract: An OCT apparatus of an exemplary aspect includes an OCT scanner, image data generating unit, registration unit, and image data composing unit. The OCT scanner is configured to acquire three dimensional data sets by applying an OCT scan to mutually different three dimensional regions of a sample. The image data generating unit is configured to generate a plurality of pieces of image data from the three dimensional data sets. The registration unit is configured to perform a first registration between the plurality of pieces of image data by applying an image correlation calculation to each of overlap regions in the plurality of pieces of image data. The image data composing unit is configured to compose the plurality of pieces of image data based on a result of the first registration.

Abstract: The data set receiving unit 13 of the information processing apparatus 1 of an aspect example receives a data set that includes at least BIM data. The route setting processor 151 sets a route, which is arranged inside and/or outside a virtual building represented by the BIM data, based on the data set received. The virtual image set generating processor 152 generates a virtual image set of the virtual building along the route, based on the received data set and the set route. The inference model creating processor 153 creates an inference model by applying machine learning with training data that includes at least the generated virtual image set to a neural network. The inference model created is used to identify data of a building material from data acquired by measuring a building.

Abstract: The object of the present invention is to develop an ophthalmologic microscope of a new method that increases the degree of freedom in the optical design in the Galilean ophthalmologic microscope provided with an OCT optical system. The present invention provides an ophthalmologic microscope, wherein an observation optical system, an objective lens, and an OCT optical system are placed in such a way that the optical axis of the OCT optical system does not penetrate through objective lens, and the optical axis of the observation optical system and the optical axis of the OCT optical system are non-coaxial, and wherein the ophthalmologic microscope further comprises a SLO optical system that scans a light ray which is a visible ray, a near infrared ray, or an infrared ray and guides the light to the subject's eye so as to become substantially coaxial with the optical axis of the OCT optical system.

Abstract: An ophthalmic observation apparatus of an embodiment includes an illumination system, a photography system, and a focus processor. The illumination system includes a light source configured to emit illumination light and an indicator member having a plurality of indicators, and is configured to project the illumination light onto a subject's eye via the indicator member. The photography system includes an image sensor and is configured to perform photography of the subject's eye. The focus processor is configured to perform detection of a plurality of indicator images from an image acquired by the photography system, and perform a focus control of the photography system based on the plurality of indicator images.

Abstract: An ophthalmic information processing apparatus includes an acquisition unit and a normalizer. The acquisition unit is configured to acquire eye shape data or an intraocular distance of an eye of a subject. The normalizer is configured to normalize the eye shape data or the intraocular distance based on body data of the subject or a refractive power of the eye of the subject.

Abstract: An OCT apparatus of an exemplary aspect includes an OCT scanner, image data generating unit, registration unit, and image data composing unit. The OCT scanner is configured to acquire three dimensional data sets by applying an OCT scan to mutually different three dimensional regions of a sample. The image data generating unit is configured to generate a plurality of pieces of image data from the three dimensional data sets. The registration unit is configured to perform a first registration between the plurality of pieces of image data by applying an image correlation calculation to each of overlap regions in the plurality of pieces of image data. The image data composing unit is configured to compose the plurality of pieces of image data based on a result of the first registration.

Abstract: An ophthalmic observation apparatus of an embodiment example includes a moving image generating unit, a movement mechanism, an analyzing processor, and a first controller. The moving image generating unit is configured to generate a moving image by illuminating and photographing the subject's eye. The movement mechanism is configured to move the moving image generating unit. The analyzing processor is configured to sequentially analyze a plurality of still images included in the moving image generated by the moving image generating unit being moved by the movement mechanism to sequentially detect images of a predetermined site of the subject's eye. The first controller is configured to control the movement mechanism based on a change in a predetermined image parameter of the images sequentially detected by the analyzing processor.

Abstract: Disclosed is a myopia progression analysis device including: an eye axial length acquisition section that acquires an eye axial length of an eye of a subject; a reference value acquisition section that acquires a numerical value related to a physical characteristic of the subject other than the eye axial length as a reference value; a relative eye axial length calculator that calculates a relative eye axial length through relativization of the eye axial length acquired by the eye axial length acquisition section using the reference value acquired by the reference value acquisition section; a population information acquisition section that acquires population information which is a set of information about relative eye axial lengths of a plurality of comparison targets to be compared with the subject; and a relative position information calculator.

Abstract: An ophthalmic observation apparatus according to an embodiment example includes a moving image generating unit, an analyzing processor, a target position determining processor, and a display controller. The moving image generating unit is configured to generate a moving image by photographing the subject's eye. The analyzing processor is configured to analyze a still image included in the moving image to detect an image of a predetermined site of the subject's eye. The target position determining processor is configured to determine a target position for a predetermined treatment based at least on the image of the predetermined site detected by the analyzing processor. The display controller is configured to display, on a display device, the moving image and target position information that represents the target position.

Abstract: An ophthalmic observation apparatus of an embodiment includes a microscope, a processor, and a display controller. The microscope includes a pair of photography systems and is configured to acquire a pair of pieces of moving image data of a subject's eye. The processor is configured to perform first processing including at least one of a control of the microscope and image processing applied to at least one of the pair of pieces of moving image data, such that a predetermined parameter of the pair of pieces of moving image data satisfies a first condition. The display controller is configured to display a pair of moving images based on the pair of pieces of moving image data produced by the first processing on a display device.

Abstract: An ophthalmic observation apparatus according to an embodiment example includes a moving image generating unit, an analyzing processor, and a display controller. The moving image generating unit is configured to generate a moving image by photographing a subject's eye into which an artificial object has been inserted. The analyzing processor is configured to analyze a still image included in the moving image to identify a first site image corresponding to a predetermined site of the subject's eye and a second site image corresponding to a predetermined site of the artificial object. The display controller is configured to display, on a display device, the moving image, first position information that represents a position of the first site image, and second position information that represents a position of the second site image.

Abstract: An ophthalmic apparatus of an exemplary aspect performs the first and second OCT scans on a subject's eye. The first OCT scan is performed on the first region including the first site of the subject's eye, and the second OCT scan is performed on the second region including the second site. The ophthalmic apparatus acquires the first deviation information of the subject's eye prior to the first OCT scan and performs alignment, and also acquires the second deviation information of the subject's eye prior to the second OCT scan and performs alignment. The ophthalmic apparatus calculates the distance between the first site and the second site based on the first data acquired through the first OCT scan and second data acquired through the second OCT scan.

Abstract: A medical diagnostic apparatus includes a receiver circuit that receives three-dimensional volumetric data of a subject’s eye, and a processor configured to separate portions of the three-dimensional volumetric data into separate segments, perform processing differently on each of the separate segments, and combine the separately processed segments to produce an enhanced three-dimensional volumetric data set. The processor is further configured to generate at least one diagnostic metric from the enhanced three-dimensional volumetric data set, and the processor is further configured to evaluate a pathological condition based on the at least one diagnostic metric. Related methods and computer readable media are also disclosed.

Abstract: A fundus observation apparatus includes an illumination optical system, a two-dimensional image sensor, and a deflecting member. The illumination optical system is configured to illuminate a fundus of a subject's eye with line-shaped illumination light. The two-dimensional image sensor is configured to receive returning light of the illumination light from the fundus on a movable focal plane at a position substantially conjugate optically to the fundus. The deflecting member is configured to couple an optical path of the illumination light and an optical path of the returning light and to scan the fundus with the illumination light by deflecting the illumination light in synchronization with a movement of the focal plane. The deflecting member has a configuration that allows the returning light to be transmitted through a first region and to reflect the illumination light in a second region different from the first region.

Abstract: A medical system according to an aspect example includes a data acquiring unit and a data processor. The data acquiring unit is configured to acquire from a patient two or more types of data among blood oxygen saturation data, auscultatory sound data, ocular image data, and ocular blood flow data. The data processor is configured to process the two or more types of data acquired by the data acquiring unit to detect a conditional change in a circulatory system associated with an infectious disease.

Abstract: According to a medical system of an aspect example, an ophthalmic data acquiring unit includes at least one ophthalmic examination apparatus for acquiring ophthalmic data from a patient, and an internal medicine data acquiring unit includes at least one internal medicine examination apparatus for acquiring internal medicine data from the patient. An inference processor is configured to perform inference processing using a trained model constructed by machine learning using training data that includes ophthalmic data, internal medicine data, and diagnostic result data. The inference processor generates inferred diagnostic data by performing the inference processing based at least on the ophthalmic data of the patient acquired by the ophthalmic data acquiring unit and the internal medicine data of the patient acquired by the internal medicine data acquiring unit. An output unit outputs a result of the inference processing performed by the inference processor.

Abstract: In an ophthalmic system of some embodiments, ophthalmic imaging apparatuses include slit lamp microscopes, and information processing system is connected to each ophthalmic imaging apparatus via a communication path. Each ophthalmic imaging apparatus is configured to acquire a three dimensional image by photographing a subject's eye, and transmit the three dimensional image to the information processing system. The information processing system is configured to receive the three dimensional image, store three dimensional images received, perform machine learning and/or data mining based on the three dimensional images, store knowledge acquired by the machine learning and/or data mining, and generate diagnosis support information by performing inference based on a three dimensional image of a subject's eye transmitted from one of the slit lamp microscopes knowledge stored in the knowledge storage.

Abstract: One aspect example is a system for photogrammetry of a building. A memory stores design data and physical material data. The design data includes virtual material information on attributes for each of virtual materials of a virtual building. The physical material data is on the attributes for each of physical materials and generated based on measured data acquired from a physical building constructed on the basis of the design data. A material associating processor is configured to generate pairs of virtual and physical materials by determining an association between the virtual materials and the physical materials based on the virtual material information and the physical material data. An attribute associating processor is configured to determine an association between the virtual material information and the physical material data in accordance with the attributes for each of the pairs.