Sony Corporation

Sony Group Corporation

Tsuneo Hayashi

Masahito Yamane

Koji Kashima

Takeshi Uemori

Daisuke Kikuchi

Takami Mizukura

Yuki Sugie

Shinji Watanabe

Hiroshi Ichiki

Tatsumi Sakaguchi

Kazuki Aisaka

Kentaro Fukazawa

Yukihiro Nakamura

Akio Furukawa

Mitsunori Ueda

Hisakazu Shiraki

Masayoshi Akita

Daisuke Tsuru

Kenta Yamaguchi

Kazuhiro Yasuda

Kenji Takahasi

Keisuke Uyama

A three-dimensional information generation unit generates a three-dimensional map (D(X, Y, Z)) (three-dimensional information) regarding a surgical field, based on a surgical field image (K(x, y)) captured by an imaging device. A region-of-interest setting unit (setting unit) then sets at least one region-of-interest in the surgical field image (K(x, y)) captured at a predetermined timing. Based on the three-dimensional map (D(X, Y, Z)) and the position of the region-of-interest set by the region-of-interest setting unit, a region-of-interest estimation unit (estimation unit) estimates an existence position of the region-of-interest from within the surgical field image (K(x, y)) captured at a timing different from the predetermined timing. Subsequently, a zoom processing unit (magnified image generation unit) generates a magnified surgical field image (L(x, y)) in which the estimated region-of-interest is magnified by a predetermined magnification, and a display control unit outputs at least the magnified surgical field image (L(x, y)).

Medical observation system, medical observation apparatus and medical observation method

An image processing apparatus includes a special light image acquisition unit that acquires a special light image having information in a specific wavelength band, a generation unit that generates depth information at a predetermined position in a living body using the special light image, and a detection unit that detects a predetermined region using the depth information. The image processing apparatus further includes a normal light image acquisition unit that acquires a normal light image having information in a wavelength band of white light. The specific wavelength band is, for example, infrared light. The generation unit calculates a difference in a depth direction between the special light image and the normal light image to generate depth information at the predetermined position. The detection unit detects a position in which the depth information is a predetermined threshold or more as a bleeding point. The present technology is applicable to an endoscope.

Image processing apparatus, image processing method, and program

A medical imaging system having an image sensor, a birefringent mask coupled to the image sensor, and processing circuitry that obtains image data from the image sensor, and performs processing on the image data based on unique optical characteristics of a coupled medical device, wherein the processing includes selecting at least one of depth of field expansion and blur improvement based on the unique optical characteristics.

Image processing device, image processing method and recording medium

A control device includes an image quality control unit configured to control image quality of an image for display on a basis of optical axis angle information with reference to a scope axis of an endoscope and an image signal acquired by an image sensor. The optical axis angle information is information detected by information obtained by acquiring light source angle information controlled by an imaging device.

Control device, endoscopic imaging device, control method, program, and endoscopic system

The present technology relates to a surgical system and a surgical imaging device enabled to reduce latency. The surgical imaging device generates a surgical image by imaging the inside of a living body, a signal processing device performs predetermined signal processing on the surgical image, and a display device displays the surgical image on which the signal processing is performed. The imaging device generates the surgical image on the basis of scan information indicating a scan order of the surgical image. The present technology can be applied to, for example, an endoscopic surgical system.

Surgical system and surgical imaging device

The present technology relates to an image processing device, an image processing method, an endoscope system, and a program that enable motion detection with higher accuracy. The endoscope system includes: a light source capable of performing a pulsed-light emission; a light-source control unit that controls the light source such that the light source performs the pulsed-light emission a plurality of times in an exposure time period of each captured image; an imaging unit that takes the captured images; and a motion detection unit that detects a motion of a photographic subject in the captured images. The present technology is applicable to the endoscope system.

Image processing device, image processing method, and endoscope system

The present technology relates to an image processing apparatus, an image processing method, and a surgical system, by which a captured image can be displayed with low latency in almost real time. A DMA controllerof a CPUdivides image data, which is input via an IF card, by the number of GPU cards--in a horizontal direction and allocates them. In each of the GPU cards--, the image data is subjected to time division processing in the vertical direction. With this, the use of the plurality of GPU cards--increases the speed of processing associated with display for the image data. High-speed display is realized due to reduction in latency. The present technology is applicable to an endoscopic camera, a surgical microscope, and the like.

Image processing apparatus, image processing method, and surgical system

Provided is a signal processing device including a determination unit that determines a state of software associated with image processing on an input image signal indicating an image captured by a medical apparatus, and an output control unit that has a first processed image signal that is the input image signal on which image processing has been performed by the software selectively outputted, on the basis of a result of determination of the state of the software.

Signal processing device and signal processing method

Provided is an medical information processing apparatus including processing circuitry that, based on surgical situation information concerning surgical characteristics at a time of observing an interior of a living body, selects at least one of a plurality of biological images each having a different wavelength range or at least one of secondary images generated from the plurality of biological images each having a different wavelength range, as a recommended image.

Information processing apparatus, information processing method, program, and medical observation system

An information processing apparatus includes: a detecting unit that detects behavior information and biological information of a user as a target; a biological information estimating unit that calculates estimated biological information by applying, to a metabolism model, the behavior information and the biological information detected by the detecting unit; and a suggesting unit that suggests, to the user, a recommended behavior calculated based on the estimated biological information calculated by the biological information estimating unit.

Information processing apparatus and information processing method

The present disclosure relates to an image processing device, an image processing method, and a surgical system that enable detection of a region including a specific living body site in an intraoperative image on the basis of a frequency of a motion vector of a living body in the intraoperative image. A motion detection unit detects the motion vector of the living body in the intraoperative image using the intraoperative images at different times. The analysis unit obtains the frequency of the motion vector detected by the motion detection unit. A frequency map generation unit detects the region including the specific living body site in the intraoperative image on the basis of the frequency obtained by the analysis unit. The present disclosure is applicable to, for example, a CCU and the like of an endoscopic surgical system.

Image processing device, image processing method, and surgical system

To solve the above problem, a first technology is an image processing device configured to estimate an approximate center of rotation of an endoscopic device based on motion detection in response to a movement of an objective lens at a distal portion of the endoscopic device by manipulating a proximal portion of the endoscopic device.

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Chiba, Japan

Tsuneo Hayashi