Olympus Corporation

Olympus Medical Systems Corporation

Olympus Optical Company, Ltd.

Tetsuo Nonami

Hirokazu Nishimura

Jun Hasegawa

Ryoko Inoue

Takao Tsuruoka

Makoto Igarashi

Kazunari Nakamura

Akira Taniguchi

Yutaka Konomura

Keiichi Hiyama

Akihiko Yajima

Hiroshi Ishii

Kazuhiko Takahashi

Hiroki Moriyama

Kazutaka Tsuji

Masahiko Sasaki

Fumiyuki Onoda

Takeshi Kawabata

Hideki Tanaka

Yasuo Hirata

Sumihiro Uchimura

Yoshinao Oaki

Yoshitaka Umemoto

Katsuyoshi Sasagawa

Kenji Taira

Chieko Aizawa

Takayasu Miyagi

Masanao Hara

Tsugio Okazaki

Seiki Toriyama

Yasuhiro Yoshizawa

Shinichi Kato

Yamato Kanda

Kenji Yamazaki

Masahide Kanno

Hiroki Hibino

Masashi Hirota

Kazuhiro Gono

Masahiro Yamaguchi

Masakazu Nakamura

Masao Uehara

Hiromasa Suzuki

Takashi Tsukaya

Katsumi Hirakawa

Yuji Ikuno

Kenichi Tanaka

Akihiko Miyazaki

Kenichi Kikuchi

Kazuo Sonobe

Sawako Shibata

Nagaaki Oyama

Kenji Kasama

Yoshikazu Ichikawa

Ryoko Inque

An image processing apparatus includes: a narrowband image acquisition unit configured to acquire a narrowband image showing inside of a lumen; a white light image acquisition unit configured to acquire a white light image showing the inside of the lumen; and a composite image generation unit configured to combine information of the narrowband image to the white light image, according to a depth of a submucosal object, to generate a composite image for display.

Image processing apparatus, image processing method, and image processing program

An endoscope apparatus includes: a light source device radiating at least one or more illumination lights having a predetermined wavelength band to a subject; a CCD picking up an image of a return light from the subject based on radiation of the illumination light from the light source device; an image processing section outputting a first image signal of a first wavelength band having a peak wavelength of spectral characteristic, between a wavelength band including a maximum value and a wavelength band at a minimum value with regard to an absorption characteristic of living tissue, after image pickup by the CCD; and an observation monitor performing image display on the basis of the first image signal.

Endoscope apparatus for outputting signals corresponding to first and second narrowband wavelength bands

An endoscope apparatus includes a light source device, an image pickup device, and an observation monitor. The video processor applies, on the basis of a difference between a first image signal having a peak wavelength of a spectral characteristic and a second image signal having a peak wavelength of the spectral characteristic that a value in the absorption characteristic is lower than the value in the absorption characteristic of the first image signal and a scattering characteristic of the living tissue is suppressed more than the scattering characteristic of the first image signal between a wavelength band including a maximum value and a wavelength band at a minimum value in an absorption characteristic of a living tissue, processing for enhancing the first image signal and generates an enhanced and corrected image signal.

Endoscope apparatus

The position of an antenna incorporated in a capsule-type endoscopethat moves in a body is estimated using a plurality of antennae, and where the distance dij between two positions Pti and P(t&#x2212;1)j estimated at adjacent times falls within a predetermined value, pieces of information for these positions are related to each other and stored in a memory as connection information. Subsequently, processing for searching for a route from the connection information stored in the memory and calculating a track is performed.

Capsule-type medical device

An endoscope system includes a light source device, a CCD, a video processor, and an observation monitor, wherein the video processor includes: a band decomposition processing section that performs a decomposition processing for decomposing into a plurality of spatial frequency bands on a signal of an image picked up by the CCD, to generate a plurality of band images; an enhancement processing section that performs an enhancement processing on selected band images based on an enhancement amount set for a region where an observation target in a subject is distributed in a feature space formed with wavelength bands or spatial frequency bands of the band images selected among the plurality of band images as axes; and an image generation section that integrates the plurality of band images subjected to the color conversion processing, for each wavelength image, to generate an image.

Image processing apparatus and endoscope system

A medical image processing apparatus includes a selection portion that selects a pixel of interest from an image composed of a plurality of pixels and obtained by picking up an image of a living tissue, a first feature value calculation portion that calculates a first feature value on the basis of color tone of the pixel of interest and color tones of surrounding pixels, a second feature value calculation portion that calculates a second feature value on the basis of the color tone of the pixel of interest and the color tones of surrounding pixels, an evaluation value calculation portion that calculates an evaluation value on the basis of the first feature value and the second feature value, and an evaluation value judgment portion that judges whether the pixel of interest is a pixel constituting the linear structure, on the basis of the evaluation value.

Medical image processing apparatus and method for controlling medical image processing apparatus

When an operation instruction is input by a first (second) control output instruction input device, locus calculation means calculates a locus of movement of a first (second) therapeutic device on the basis of any one of joint sections, which is instructed to operate. On the basis of a calculation result by the locus calculation means, therapeutic device operation control means controls an operation of the first (second) therapeutic device by a first (second) active mechanism. Thereby, there is provided an endoscope apparatus which can improve the operational efficiency and positional precision of the therapeutic device.

Provided are an endoscopic diagnosis support method, an endoscopic diagnosis support apparatus, and an endoscopic diagnosis support program, all of which are capable of extracting an image picking up a bleeding region easily and accurately from among a large number of endoscopic images picked up by an endoscope observation apparatus by calculating a tone from a color signal of each of plural image zones obtained by dividing the endoscopic image; and discerning an image zone including a bleeding region by judging a difference among each of the plural image zones based on a tone of the calculated each image zone in the endoscopic diagnosis support apparatus for supporting an endoscopic diagnosis performed based on an endoscopic image picked up by an endoscope observation apparatus.

Endoscopic diagnosis support method, endoscopic diagnosis support apparatus and endoscopic diagnosis support program

A medical device system includes a manipulator including a plurality of joints, a parameter storing portion for storing joint parameters, including a largest available force, of each joint of the plurality of joints, a trajectory inputting portion for inputting, as a trajectory plan, trajectories for moving a distal end of the manipulator from a current position and attitude to a target position and attitude, a trajectory setting portion for setting a joint angle trajectory for each joint providing a largest available force from among joint angle trajectories which allow movement to the target position and attitude with a minimum number of driven joints based on a largest available force parameter for the each joint stored in the parameter storing portion and the trajectory plan.

Manipulator apparatus and medical device system

A plurality of images inputted in an image signal input portion are divided into a plurality of regions by an image dividing portion, and a feature value in each of the plurality of regions is calculated by a feature value calculation portion and divided into a plurality of subsets by a subset generation portion. On the other hand, a cluster classifying portion classifies a plurality of clusters generated in a feature space into any one of a plurality of classes on the basis of the feature value and occurrence frequency of the feature value. And a classification criterion calculation portion calculates a criterion of classification for classifying images included in one subset on the basis of a distribution state of the feature value in the feature space of each of the images included in the one subset.

Image processing device and image processing method in image processing device for identifying features in an image

A hemorrhage edge candidate area extraction section extracts a candidate area for the outline part of a hemorrhage area, based on an image signal of a medical image constituted by multiple color signals obtained by capturing an image of a living body. A feature quantity calculation section calculates a feature quantity of the hemorrhage area based on calculation of the amount of change in the image signal in a small area including the candidate area, among multiple small areas obtained by dividing the medical image. A hemorrhage edge determination section determines whether or not the candidate areas are the outline part of the hemorrhage area based on the feature quantity.

Image processing apparatus, image processing method and image processing program

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Hino, Japan

Tetsuo Nonami