Hoya Corporation

Takao Makino

Yousuke Ikemoto

Yoshihiro Hayashi

Ryohei Koizumi

Jurgen Glatz

A processor for an endoscope includes an image processing unit that obtains a severity of a lesion in which a degree of progression is represented by one value, wherein the image processing unit includes a feature amount calculation unit configured to calculate a first pixel evaluation value indicating a degree of a first feature of appearance appearing in a lesion part, a representative value calculation unit configured to calculate a first representative evaluation value by integrating the first pixel evaluation values, and an integration unit configured to adjust an influence degree of the first representative evaluation value indicating a change in the severity with respect to a change in the first representative evaluation value based on information on a color component of an image, and calculate the severity of the lesion based on at least the first representative evaluation value by using the adjusted influence degree.

Endoscope processor and endoscope system

An endoscope system includes: a light source device; an electronic endoscope including an image sensor that images a biological tissue by a rolling shutter method; and a processor including an adjustment unit that is a part adjusting luminance of the frame image by combining adjustment of an exposure time of the image sensor with at least one of adjustment of light intensity of the illumination light and gain adjustment for determining a signal level of the frame image obtained from the image sensor, the adjustment unit determining whether or not a motion amount of an object image in the captured image or information regarding a blurring amount satisfies an adjustment condition and performing the adjustment processing by adjusting an adjustment level representing a degree of strength of the adjustment processing by a magnitude of a value according to at least the determination result.

Endoscope system which displays a captured image of biological tissue on a screen

An aspect of the present invention is a processor for an electronic endoscope that acquires a captured image of a living tissue and performs enhancement processing. The processor includes: a region detection unit configured to detect an enhancement processing target region in the captured image from pixel information of the captured image of the living tissue; and an enhancement processing unit configured to perform enhancement processing on the enhancement processing target region detected by the region detection unit. The region detection unit detects the enhancement processing target region based on a difference in signal level between a pixel of interest in the captured image and a pixel surrounding the pixel of interest, and the enhancement processing unit performs enhancement processing on the enhancement processing target region such that enhancement is weakened as the difference in signal level is larger and enhancement is strengthened as luminance is higher.

Processor for electronic endoscope and electronic endoscopic system

An image processing unit of a processor for an endoscope includes: an emphasis processing calculation unit performing nonlinear gradation conversion for a pixel value of a pixel of interest, using each pixel of a captured image as the pixel of interest; and a preprocessing unit setting a reference upper limit characteristic line and a reference lower limit characteristic line in order to adjust an output pixel value after the nonlinear gradation conversion and calculating a degree of variation in pixel values in a partial setting region around the pixel of interest. The emphasis processing calculation unit calculates an output ratio of the output pixel value to a maximum pixel value that can be taken by the captured image, an adjustment upper limit value and an adjustment lower limit value, and an emphasis-processed pixel value, using the adjustment upper limit value, the adjustment lower limit value, and the output ratio.

Processor for endoscope and endoscopic system

An electronic endoscope system is provided with an electronic endoscope, a processor provided with a still image acquisition unit that acquires a part of a moving image imaged by the electronic endoscope as a still image, an association processing unit that associates place information regarding an imaging place of living tissue in a lumen with the still image, and a recording unit, a monitor, and an input operation device that transmits a capture instruction for acquiring the still image from the moving image to the still image acquisition unit in response to an operation of determining one place out of a plurality of places in the lumen set in advance as a selected place as a trigger, and further transmits information of the selected place to the association processing unit as the place information regarding the imaging place during an imaging period of the moving image.

Electronic endoscope system

An endoscope system comprising: a light source device configured to emit illumination light; an electronic endoscope; a processor that includes an image processing unit; and a monitor. The image processing unit includes: a detection unit configured to generate a first blood vessel detection image and a second blood vessel detection image; a separation unit configured to separate the first blood vessel detection image and the second blood vessel detection image into a shallow blood vessel image and a deep blood vessel image; a feature amount calculation unit configured to calculate a shallow blood vessel feature amount regarding the shallow blood vessel image and a deep blood vessel feature amount regarding the deep blood vessel image; and an evaluation unit configured to calculate severity of a lesion of a biological tissue by using the shallow blood vessel feature amount and the deep blood vessel feature amount.

Endoscope system

An electronic endoscope system includes an electronic endoscope, a processor that includes an evaluation unit, and a monitor. The evaluation unit includes an evaluation value calculation unit that calculates a lesion evaluation value indicating the intensity of lesion in the living tissue in each of the images, an imaging position information acquisition unit that acquires information on the imaging position of each image, a lesion position calculation unit that determines the presence or absence of the lesion based on whether the lesion evaluation value exceeds a predetermined threshold and obtains a start position and an end position of a region of a lesion portion, and an organ lesion evaluation unit that evaluates a degree of lesion in the organ using a length of the lesion portion calculated from the start position and the end position and a representative value of the lesion evaluation value.

An endoscope processor or the like is provided which has a high ability to detect lesions. The endoscope processor includes an image acquisition unit that acquires a captured image taken by an endoscope, a first image processing unit that generates a first processed image based on the captured image acquired by the image acquisition unit, a second image processing unit that generates a second processed image based on the captured image, and an output unit that outputs an acquired disease status using a learning model, which outputs a disease status, when the first processed image generated by the first image processing unit and the second processed image generated by the second image processing unit are input.

Endoscope processor, information processing device, and program

An electronic endoscope system includes an electronic endoscope, a processor that includes an evaluation unit, and a monitor. The evaluation unit includes an image evaluation value calculation unit that calculates an image evaluation value indicating an intensity of lesion in the living tissue for each of a plurality of images of the living tissue, and a lesion evaluation unit that calculates a representative evaluation value of the image evaluation value from the image evaluation values of the plurality of images corresponding to a plurality of sections for each of the plurality of sections in which a region of the organ is divided using information of an imaging position in the organ whose image is captured and evaluates an extent of the lesion in a depth direction inside the organ using the representative evaluation value.

Electronic endoscope system and data processing device

An electronic endoscope processor includes a converting means for converting each piece of pixel data that is made up of n (n&#x2265;3) types of color components and constitutes a color image of a biological tissue in a body cavity into a piece of pixel data that is made up of m (m&#x2265;2) types of color components, m being smaller than n; an evaluation value calculating means for calculating, for each pixel of the color image, an evaluation value related to a target illness based on the converted pieces of pixel data that are made up of m types of color components; and a lesion index calculating means for calculating a lesion index for each of a plurality of types of lesions related to the target illness based on the evaluation values calculated for the pixels of the color image.

Electronic endoscope processor and electronic endoscopic system

An electronic endoscope system includes an image processing unit that uses a numerical value to evaluate an appearance feature appearing in a biological tissue by using an images captured by an electronic endoscope. The image processing unit calculates a first pixel evaluation value indicating a degree of a first feature, which is featured by a first color component or a first shape appearing in an attention area in the biological tissue, and which relates to the first color component or the first shape, for each pixel from the image, and calculates a first representative evaluation value relating to the first feature by integrating the first pixel evaluation value. Furthermore, the image processing unit evaluates a degree of a second feature that shares the first color component or the first shape with the first feature.

An electronic endoscope system includes a plotting unit which plots pixel correspondence points, which correspond to pixels that constitute an intracavitary color image that has a plurality of color components, on a target plane according to color components of the pixel correspondence points, the target plane intersecting the origin of a predetermined color space; an axis setting unit which sets a reference axis in the target plane based on pixel correspondence points plotted on the target plane; and an evaluation value calculating unit which calculates a prescribed evaluation value with respect to the captured image based on a positional relationship between the reference axis and the pixel correspondence points.

Evaluation value calculation device and electronic endoscope system

An electronic endoscope system includes a plotting unit which plots pixel correspondence points, which correspond to pixels that constitute a color image that has multiple color components, on a first color plane according to color components of the pixel correspondence points, the first color plane intersecting the origin of a predetermined color space; an axis setting unit which sets a predetermined reference axis in the first color plane; a transform unit which defines a second color plane that includes the reference axis, and subjecting the pixel correspondence points on the first color plane to projective transformation onto the second color plane; and an evaluation value calculating unit which calculates a prescribed evaluation value with respect to the color image based on the pixel correspondence points subjected to projective transformation onto the second color plane.

An endoscope system includes a processor including an image processing unit that obtains an inflammation evaluation value in which a degree of inflammation of a biological tissue is digitized on the basis of information of a color component of an image of the biological tissue, from the image that is obtained by imaging the biological tissue, and a monitor displaying the inflammation evaluation value. The image processing unit includes a blood vessel region determination unit obtaining certainty of a blood vessel region of the biological tissue in the image, a pixel evaluation value generation unit obtaining a pixel evaluation value by performing digitization processing with respect to each of the pixels of the image, a pixel evaluation value adjustment unit calculating an adjustment value in which the pixel evaluation value is reduced as the certainty of the blood vessel region increases.

Growing community of inventors

Tokyo, Japan

Takao Makino