Abstract: A controller of a medical image processing device acquires a medical image of a subject. The controller causes a display to display a pre-modification image in which at least the position or range of a lesion to be modified on the medical image is displayed. The controller receives an instruction to designate at least the position or range of the lesion to be modified in a state in which the pre-modification image is displayed on the display. When at least the position or range of the lesion is designated, the controller acquires a predicted disease image in which the lesion is modified according to the designated information on the basis of the medical image. The controller causes the display to display the predicted disease image and the pre-modification image simultaneously or in a switching manner.

Abstract: An ophthalmic apparatus includes a first optical system for acquiring information regarding an eye refractive power of a subject eye based on reflection light of measurement light reflected from a fundus of the subject eye, a second optical system for acquiring anterior segment information regarding a shape of an anterior segment of the subject eye, and a calculation controller that acquires an axial length of the subject eye based on an on-surface eye refractive power, which is the eye refractive power on a cross section on which an optical axis of the first optical system is arranged and the anterior segment information regarding the cross section.

Abstract: An eyeglass lens peripheral edge processing system includes a plurality of eyeglass manufacturing devices and a robot arm. The plurality of eyeglass manufacturing devices 1 perform mutually different steps out of a plurality of steps for processing the eyeglass lens, and include mutually different housings. The robot arm includes an arm unit and a holding unit. The arm unit has a plurality of joint portions. The holding unit is disposed in the arm unit to hold and release an object. The robot arm rotates the arm unit via the joint portion to move the object held by the holding unit. The robot arm rotates the arm unit to move the eyeglass lens between the plurality of eyeglass manufacturing devices.

Abstract: A first region is a circular region located at the centermost position. A first refractive power is uniformly added to the first region regardless of the distance from an axis of a lens part. A second region is a ring-like region located outside and adjacent to the first region. In the second region, a refractive power is increased or decreased from the first refractive power as the distance from the axis becomes larger. An outer region is a ring-like region located outside the second region. A reference refractive power for focusing on a far point is added to the outer region. An MTF curve at spatial frequency of 50 lp/mm relating to light passing through a region having a radius of 1.5 mm around the axis has one maximal value and no minimal value in a range of a defocusing value of ?0.5 D to 0.5 D.

Abstract: An eyeglasses lens processing system includes the transport robot that holds an eyeglasses lens in a holding portion to transport the eyeglasses lens, an eyeglasses lens processing device that processes the eyeglasses lens held between a pair of the lens holding shafts, a shape information acquisition unit that acquires information about a refractive surface shape of the eyeglasses lens, and a relative movement unit that changes a relative positional relationship between the eyeglasses lens held by the holding portion of the transport robot and the pair of lens holding shafts. The relative movement unit at least two-dimensionally changes the relative positional relationship, based on acquired information of the refractive surface shape, to insert the eyeglasses lens into a predetermined insertion position in a gap between the pair of lens holding shafts.

Abstract: A processor of an ophthalmologic image processing device acquires an ophthalmologic image photographed by an ophthalmologic image photographing device. The processor inputs the ophthalmologic image into a mathematical model trained by a machine learning algorithm to acquire a result of an analysis relating to at least one of a specific disease and a specific structure of a subject eye. The processor acquires information of a distribution of weight relating to an analysis by a mathematical model, as supplemental distribution information, for which an image area of the ophthalmologic image input into the mathematical model is set as a variable. The processor sets a part of the image area of the ophthalmologic image, as an attention area, based on the supplemental distribution information. The processor acquires an image of a tissue including the attention area among a tissue of the subject eye and displays the image on a display unit.

Abstract: The method is used for creating an all-in-focus image of a portion of an iridocorneal angle of an eye starting from a plurality of images (610), these images being shallow field-depth images of that portion taken with different focus planes but with a same image frame; the method comprises the steps of: A) pre-processing (620) said plurality of images so to obtain a plurality of single-channel images if the images of said plurality are color images, B) calculating (630) an initial focus map starting from said plurality of single-channel images, C) creating (640) an initial estimated all-in-focus image starting from said initial focus map and said plurality of single-channel images, D) calculating (650) an initial edge map starting from said initial focus map and said plurality of single-channel images, E) iterating (660) a regularization process until a stop regularization condition is met, wherein the regularization process comprises removing one or more edge points of the initial edge map by considering a r

Abstract: A processor of an ophthalmologic image processing device acquires intermediate information from which an influence of a position shift with respect to a first direction at each position in a second direction is excluded, for each of a first ophthalmologic image and a second ophthalmologic image (S4). The processor performs alignment with respect to the second direction between the first ophthalmologic image and the second ophthalmologic image, based on the intermediate information (S5, S6). The processor performs alignment with respect to the first direction between pixels at the same position with respect to the second direction in the first ophthalmologic image and the second ophthalmologic image for which the alignment with respect to the second direction has been performed (S7).

Abstract: There is provided a target presentation device for presenting a target to a subject eye. The target presentation device including a format setting means that sets a display format of a visual acuity value of an examination target used in an examination of the subject eye, based on an operation signal, and an output means that outputs a target to be presented to the subject eye, based on the visual acuity value represented in the display format set by the format setting means.

Abstract: An ophthalmic apparatus for examining an examinee's eye, comprising a face support member to support an examinee's face, a human detection member to detect whether or not the face is supported by the face support member, a notification member to give an announcement to an examinee or an examiner, and a control member to control the notification member based on a detection result of the human detection member.

Abstract: In this invention, a control unit in an ophthalmic image processing device acquires an ophthalmic image captured by an ophthalmic image capture device (S11). The control unit, by inputting the ophthalmic image into a mathematical model that has been trained by a machine-learning algorithm, acquires a probability distribution in which the random variables are the coordinates at which a specific site and/or a specific boundary of a tissue is present within a region of the ophthalmic image (S14). On the basis of the acquired probability distribution, the control unit detects the specific boundary and/or the specific site (S16, S24).

Abstract: A spectacle lens processing device includes a drilling tool and a processor. The processor acquires a position of a hole formed in a lens and a pantoscopic angle. The pantoscopic angle is an angle in a vertical plane between a visual axis of a user and an optical axis of the lens when the user wears spectacles in which the lens after processing is mounted and faces forward. The processor determines, based on the acquired pantoscopic angle, a relative angle between the drilling tool and the lens when the hole is formed in the lens in the position of the hole.

Abstract: There are provided an ophthalmologic information analysis apparatus and an ophthalmologic information analysis program capable of efficiently performing follow-up observation of a subject eye. There is provided: a central processing unit configured to: acquire first analysis data obtained by analyzing an analysis region of the subject eye in first OCT data including the analysis region; acquire second OCT data captured on a day different from that of the first OCT data; perform an analysis comprising: specifying the analysis region corresponding to the first analysis data from the second OCT data; and acquiring second analysis data obtained by analyzing the analysis region in the second OCT data; and control a display to display the first analysis data and the second analysis data in a comparable manner.

Abstract: In this invention, a control unit in an ophthalmic image processing device acquires an ophthalmic image captured by an ophthalmic image capture device (S11). The control unit, by inputting the ophthalmic image into a mathematical model that has been trained by a machine-learning algorithm, acquires a probability distribution in which the random variables are the coordinates at which a specific site and/or a specific boundary of a tissue is present within a region of the ophthalmic image (S14). On the basis of the acquired probability distribution, the control unit detects the specific boundary and/or the specific site (S16, S24).

Abstract: A processor of a control apparatus, which controls an eyeglasses lens machining apparatus, performs a check operation execution step (S14, S17, S19, and S21 to S23) and a result output step (S24), based on a state management program. In the check operation execution step, the processor causes the eyeglasses lens machining apparatus to execute a check operation for checking a state of the eyeglasses lens machining apparatus. In the result output step, the processor outputs information indicating a result of the executed check operation.

Abstract: A controller of an ophthalmic apparatus finely drives and roughly drives a drive unit of an optometry unit. In a case where a tilt operation of tilting the operation stick within a predetermined range is detected by an operation detection unit, the controller finely drives the drive unit by controlling the drive unit in response to the detected tilt operation, and finely changes a position of the optometry unit. In a case where at least one of a tilt operation of tilting the operation stick over a predetermined range and an operation of a rough movement operation unit is detected by the operation detection unit, the controller roughly drives the drive unit by controlling the drive unit in response to the detected operation, and roughly changes the position of the optometry unit.

Abstract: Provided are ophthalmologic image processing method, including an acquisition step of acquiring OCT data of an eye to be examined based on a spectral interference signal output from an OCT optical system, a setting step of setting a depth region including an image position of a tissue as an extraction region for data on one-direction side from a zero delay position in the OCT data, and a display control step of extracting extracted OCT data corresponding to the extraction region from the OCT data and displaying the extracted OCT data in a display region set in advance on a monitor, and an OCT apparatus that executes the method.

Abstract: An ophthalmologic imaging apparatus having an OCT optical system for acquiring OCT data of a tissue of a subject eye based on a spectral interference signal of measurement light emitted to the tissue and reference light. The apparatus further has a second optical system for acquiring a front image of the tissue; an optical element having asymmetry and arranged on a common optical path of the OCT optical system and the second optical system; and an arithmetic controller that associates an OCT data acquisition position with coordinates of the front image while taking at least a difference in distortion caused by the optical element between the OCT optical system and the second optical system into consideration.

Abstract: An ultrasonic tonometer for measuring intraocular pressure of a subject eye by using an ultrasonic wave. The ultrasonic tonometer includes an irradiation unit configured to irradiate the subject eye with a focused ultrasonic wave, and a Z-alignment detection unit configured to detect an alignment state in a working distance direction with respect to the subject eye. An appropriate Z-alignment position is set to a position that is farther from the irradiation unit than is a geometric focal position of the irradiation unit. The appropriate Z-alignment position is detected by the Z-alignment detection unit.

Abstract: A subjective optometry system includes a plurality of subjective optometry devices and a database which stores at least any data of objective measurement data and previous glass data in association with each identifier. Each of the subjective optometry devices includes a calibration optical system, an information processor, and a reader which is connected to the information processor, reads an identifier prepared for each examinee, and outputs information about the read identifier to the information processor. The information processor acquires at least one of the objective measurement data and the previous glass data corresponding to the identifier from the database based on the identifier received from the reader, and sets an initial value of the calibration optical system used on an occasion of subjectively measuring optical characteristics of a subject eye based on at least one of the objective measurement data and the previous glass data.