Nidek Co., Ltd.

Ryosuke Shiba

Yoshiki Kumagai

Naoki Takeno

Tetsuya Kano

Sohei Miyazaki

Yukihiro Higuchi

Yusuke Sakashita

Yasuhiro Furuuchi

Kazuki Okada

Masaaki Hanebuchi

Norimasa Satake

Naoto Honda

Yuji Murase

Hajime Namiki

Shinya Iwata

Junpei Nishiyama

Ai Takaya

Kenshiro Fujiu

Tomohiro Miyagi

Hirofumi Yogo

Yuki Kuno

Hideki Aono

Shohei Ito

An ophthalmic image processing device processes an ophthalmic image of a subject eye. The ophthalmic image processing device includes a controller which acquires an ophthalmic image including a tomographic image of a plurality of tomographic planes in a subject eye, acquires a probability distribution for identifying two or more tissues included in a plurality of tissues in the tomographic image, by inputting the ophthalmic image into a mathematical model trained with using a machine learning algorithm, generates a structural abnormality degree map showing a two-dimensional distribution of a degree of abnormality of a structure in the tissue, for each of the two or more tissues, based on the probability distribution, and simultaneously displays two or more structural abnormality degree maps generated for each of the two or more tissues side by side on a display device.

Ophthalmic image processing device and ophthalmic image processing method

In this invention, a control unit in an ophthalmic image processing device acquires an ophthalmic image captured by an ophthalmic image capture device (S). 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 (S). On the basis of the acquired probability distribution, the control unit detects the specific boundary and/or the specific site (S, S).

Ophthalmic image processing device, OCT device, and non-transitory computer-readable storage medium

A control section of an ophthalmologic image processing apparatus acquires an ophthalmologic image captured by an ophthalmologic image capturing apparatus. The control section acquires, for the acquired ophthalmologic image, evaluation information indicating an appropriateness for acquiring medical data including at least any of an analysis result relating to a disease of a subject eye, an analysis result relating to the structure of the subject eye, and an image converted from the acquired ophthalmologic image. The control section acquires the medical data based on the acquired ophthalmologic image. The control section changes a medical data acquisition method according to whether or not the evaluation information on the ophthalmologic image satisfies a criterion.

Ophthalmic image processing device, ophthalmic image processing program, and ophthalmic image processing system

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.

Ophthalmologic image processing device and non-transitory computer-readable storage medium storing computer-readable instructions

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 (S). 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 (S, S). 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 (S).

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.

Ophthalmologic information analysis apparatus and ophthalmologic information analysis program

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.

Ophthalmologic image processing method and OCT apparatus

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 (S). 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 (S). 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 (S).

Medical image processing device, oct device, and non-transitory computer-readable storage medium storing computer-readable instructions

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.

Ophthalmological image processing apparatus

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.

Image processing device and non-transitory computer-readable recording medium

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.

OCT apparatus

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.

Ophthalmological image processing apparatus and storage medium

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.

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Aichi, Japan

Ryosuke Shiba