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: An ophthalmological image processing apparatus includes an image obtaining portion for obtaining ophthalmological image data, which is captured by an imaging unit, of a subject eye, and an image processing portion for processing the ophthalmological image data. The image processing portion uses a first front image of the subject eye in a first depth region to correct a second front image of the subject eye captured in a second depth region which is different from the first depth region. The first front image and the second front image are constructed based on the ophthalmological image data. The ophthalmological image processing apparatus can reduce an artifact which is generated in an ophthalmological image.

Abstract: An OCT data processing device includes a processor that performs acquiring three-dimensional OCT data. The three-dimensional OCT data is OCT data of a tissue of a subject's eye acquired by an OCT device and is obtained by irradiating measurement light on a two-dimensional measurement region. The two-dimensional measurement region extends in a direction intersecting an optical axis of the measurement light. The processor further preforms setting a line pattern, from among a plurality of types of line pattern, with respect to the two-dimensional measurement region for which the three-dimensional OCT data is obtained, at least one of an arrangement, a number, or a shape of one or more lines being different for the plurality of types of line pattern, and extracting, from the three-dimensional OCT data, a two-dimensional tomographic image of a cross section intersecting each of the one or more lines of the set line pattern.

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: A target image to be corrected is generated by arranging partial images acquired by scanning a tissue of a living body with light and temporally continuously receiving the light from the tissue. A processor of a medical image processing device performs detecting position shift amounts, acquiring a component, and correcting. In the process of detecting position shift amounts, the processor detects the position shift amounts between the partial images (S3). In the process of acquiring, the processor acquires an assumed result of at least one of a component in the position shift amount caused by movement of the tissue, and a component in the position shift amount caused by a shape of the tissue (S4). In the process of correcting, the processor corrects a position of each of the partial images based on the component in the position shift amount (S7).

Abstract: An ophthalmological image processing apparatus acquires a plurality of images of a subject eye photographed in a scanning-type imaging optical system, sets any one of the plurality of images as a template, sets corresponding points or corresponding regions between an image of the subject eye and the template at a plurality of positions of each of the image of the subject eye and the template, calculates a movement amount of each of the corresponding points or each of the corresponding regions, and corrects a distortion of the image of the subject eye with respect to the template based on the movement amount of each of the corresponding points or each of the corresponding regions.

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: An image processing device processes an image of a subject eye. The image processing device includes an image acquisition unit that acquires an image of the subject eye, a diagnosis unit that obtains a diagnosis result of the subject eye based on the image acquired by the image acquisition unit, and a display control unit that changes a display mode of a display unit based on the diagnosis result.

Abstract: An OCT apparatus includes an OCT optical system that has a light splitter splitting light from an OCT light source to light travelling to a measurement light path and light travelling to a reference light path and a detector detecting a spectrum interference signal of measurement light guided to a subject eye through the measurement light path and reference light from the reference light path, and a processing unit that processes the spectrum interference signal to generate OCT data. The processing unit performs at least complementary processing on an overlapping region of a real image and a virtual image in OCT data based on a plurality of OCT data obtained with different optical path lengths when detecting the spectrum interference signal, and generates OCT data subjected to the complementary processing.

Abstract: An OCT motion contrast data analysis apparatus includes: a processor; and memory storing computer readable instructions, when executed by the processor, causing the OCT motion contrast data analysis apparatus to execute: acquiring OCT motion contrast data of a subject by an optical coherence tomography; and performing an analysis process with respect to the OCT motion contrast data based on an analysis chart set on image data different from the OCT motion contrast data.

Abstract: An ocular fundus image processing device includes a processor. The processor acquires an ocular fundus image of a subject's eye photographed using an ocular fundus image photographing unit. The processor also acquires a detection result of an artery and a vein in at least a part of the ocular fundus image, by inputting at least the part of the ocular fundus image into a mathematical model trained using a machine learning algorithm.

Abstract: An ophthalmic analysis device for analyzing OCT motion contrast data including blood vessel information of a subject eye acquired by an ophthalmic OCT, includes: a processor; and memory storing computer readable program, when executed by the processor, causing the ophthalmic analysis device to execute: an analysis process of analyzing the OCT motion contrast data to acquire a measurement result related to a capillary area of the subject eye. The analysis process executes an alleviating process for alleviating the influence of great blood vessels having blood vessel diameters larger than those of capillaries on the measurement result to acquire the measurement result related to the capillary area.

Abstract: An OCT motion contrast data analysis apparatus includes: a processor; and memory storing computer readable instructions, when executed by the processor, causing the OCT motion contrast data analysis apparatus to execute: acquiring OCT motion contrast data of a subject by an optical coherence tomography; and performing an analysis process with respect to the OCT motion contrast data based on an analysis chart set on image data different from the OCT motion contrast data.

Abstract: An OCT data processing device includes a processor that performs acquiring three-dimensional OCT data. The three-dimensional OCT data is OCT data of a tissue of a subject's eye acquired by an OCT device and is obtained by irradiating measurement light on a two-dimensional measurement region. The two-dimensional measurement region extends in a direction intersecting an optical axis of the measurement light. The processor further preforms setting a line pattern, from among a plurality of types of line pattern, with respect to the two-dimensional measurement region for which the three-dimensional OCT data is obtained, at least one of an arrangement, a number, or a shape of one or more lines being different for the plurality of types of line pattern, and extracting, from the three-dimensional OCT data, a two-dimensional tomographic image of a cross section intersecting each of the one or more lines of the set line pattern.

Abstract: An ophthalmological image processing apparatus includes an image obtaining portion for obtaining ophthalmological image data, which is captured by an imaging unit, of a subject eye, and an image processing portion for processing the ophthalmological image data. The image processing portion uses a first front image of the subject eye in a first depth region to correct a second front image of the subject eye captured in a second depth region which is different from the first depth region. The first front image and the second front image are constructed based on the ophthalmological image data. The ophthalmological image processing apparatus can reduce an artifact which is generated in an ophthalmological image.

Abstract: An OCT motion contrast data analysis apparatus includes: a processor; and memory storing computer readable instructions, when executed by the processor, causing the OCT motion contrast data analysis apparatus to execute: acquiring OCT motion contrast data of a subject by an optical coherence tomography; and performing an analysis process with respect to the OCT motion contrast data based on an analysis chart set on image data different from the OCT motion contrast data.

Abstract: An ophthalmologic information processing device includes a processor and a memory that stores computer-readable instructions. The computer-readable instructions, when executed by the processor, cause the ophthalmologic information processing device to perform processes that include setting a target position on an ocular fundus of a patient's eye, determining a position of one of a ganglion cell corresponding to a photoreceptor cell present at the target position and a photoreceptor cell corresponding to a ganglion cell present at the target position, and obtaining a first analysis result of a retina at the determined position based on one of a second analysis result and a third analysis result. The second analysis result includes an analysis result of the retina at a center point of the determined position and an analysis result of the retina at an auxiliary point. The third analysis result includes an analysis result of the retina in an analysis region.

Abstract: An OCT data processing device for processing OCT data of a subject eye includes: a processor; and memory storing computer readable program, when executed by the processor, causing the OCT data processing device to execute: acquiring OCT data from an OCT optical system; and analyzing the acquired OCT data to acquire arteriovenous information on the blood vessel based on image information on a blood vessel scan area including a blood vessel of the subject eye.

Abstract: An OCT data processing device for processing OCT data of a subject eye includes: a processor; and memory storing computer readable program, when executed by the processor, causing the OCT data processing device to execute: acquiring OCT data from an OCT optical system; and analyzing the acquired OCT data to acquire arteriovenous information on the blood vessel based on image information on a blood vessel scan area including a blood vessel of the subject eye.

Abstract: An ophthalmic analysis device for analyzing OCT motion contrast data including blood vessel information of a subject eye acquired by an ophthalmic OCT, includes: an analysis processing means configured to analyze the OCT motion contrast data to acquire a measurement result related to a capillary area of the subject eye, wherein the analysis processing means an alleviating process for alleviating the influence of great blood vessels having blood vessel diameters larger than those of capillaries on the measurement result to acquire the measurement result related to the capillary area.