Abstract: A magnetic resonance imaging apparatus according to an embodiment includes a processor. The processor acquires a plurality of pieces of k-space data with undersampling in at least one of axes of k-space and in a certain axis different from the axes of k-space. The processor rearranges the pieces of k-space data into a second order different from a first order in which the pieces of k-space data are acquired. The processor performs a reconstruction process on a rearranged k-space data group to generate an image group.

Abstract: According to one embodiment, an electronic device includes circuitry. The circuitry is configured to: receive first image data for displaying a first image that comprises a plurality of regions, modify a first region of the first image by adding at least a high-frequency component based on second image data, the first region of the first image including fewer noise components than a first threshold, and output third image data for displaying the first image that comprises the plurality of regions and the modified first region.

Abstract: An electronic sphygmomanometer having a function to calculate an index value of risk of circulatory system disease from measured blood pressure information includes a CPU, a memory, and a display. The CPU calculates the blood pressure of a person being examined based on pressure changes of an air bladder as measured by a pressure sensor. The memory stores data of the measured blood pressure together with time information of the measurement. The CPU calculates an index value of risk of circulatory system disease of the person being examined based on a difference between a blood pressure value obtained from a measurement and a blood pressure value obtained from a previous measurement and an elapsed time between the measurement and the previous measurement, A display part displays the calculated index value of risk of circulatory system disease of the person being examined together with the measured blood pressure.

Abstract: An image processing apparatus according to an embodiment includes conversion circuitry, magnitude image generating circuitry and phase image generating circuitry. The conversion circuitry is configured to convert time-series k-space data into first time-series x-space data, the x-space representing a spatial position. The magnitude image generating circuitry is configured to generate a magnitude image from second time-series x-space data, the second time-series x-space data being acquired by applying a first filter to the first time-series x-space data. The phase image generating circuitry is configured to generate a phase image from third time-series x-space data, the third time-series x-space data being acquired by applying, to the first time-series x-space data, a second filter that is different from the first filter.

Abstract: According to one embodiment, an image processing apparatus includes an acquisition unit, a clustering unit, a detection unit, and a correction unit. The acquisition unit is configured to acquire a moving image including a plurality of frames. The clustering unit is configured to cluster frames having a similar scene to the same group in the moving image. The detection unit is configured to detect at least one object region from each frame clustered to the same group, and to calculate a color distribution of the object region of the each frame. The correction unit is configured to select a typical color distribution of the object region from the color distribution of the each frame, and to correct a color of the each frame clustered to the same group, based on the typical color distribution.

Abstract: According to one embodiment, an image processing apparatus includes following units. The extraction unit extracts, from image data including a plurality of pixels, wavelength signal values of the plurality of pixels. The light attenuation amount calculation unit calculates a light attenuation amount based on a ratio of a wavelength signal value of a target pixel to a representative signal value obtained from wavelength signal values of a local region around the target pixel. The pigment amount calculation unit calculates a pigment amount of a predetermined pigment component at the target pixel by resolving the light attenuation amount using an absorbance base of the predetermined pigment component.

Abstract: An image processing apparatus includes an acquisition module, a computation module and an image generator. The acquisition module acquires a first image including a substance-unapplied region of a subject and a second image including a substance-applied region of a subject. The first and second images are taken by an imager or imagers having the same sensor characteristics. The computation module computes reflection characteristic of the subject based on the first image and computes application amount of the substance applied to the subject based on the second image and the computed reflection characteristic. The image generator generates an image to be displayed based on the second image and the computed application amount.

Abstract: An apparatus includes, a unit generating a sample-texture image, a unit searching a preset-search range for similar pixels and to generate a texture image by assigning a pixel value of each of the similar pixels to a pixel value of a processing-target pixel in the texture image, the preset-search range being included in the sample-texture image and including a position corresponding to a position of the processing-target pixel to which any pixel value is not yet assigned, the similar pixels having, around the similar pixels, variation patterns similar to a pattern of pixels which are located in the texture image near the processing-target pixel and to which pixel values are assigned, and a unit combining the texture image and a base image of a same size as the texture image to obtain a synthetic image, the base image holding shades similar to shades of a transform-target image.

Abstract: According to an embodiment, an illumination apparatus includes a light source that emits at least two types of lights having different spectral distributions and a controller. The controller starts controlling of the light source. The controller sequentially performs switching-controlling of pre-set lighting-up patterns of the light source so as to switch at least one of a combination of the lights having different spectral distributions of the light source and a combination of intensities of the light source in response to the start of the control of the light source. The controller ends controlling of the light source after at least the switching-controlling of all the pre-set lighting-up patterns of the light source is performed.

Abstract: According to one embodiment, an image processing apparatus includes following units. The extraction unit extracts, from image data including a plurality of pixels, wavelength signal values of the plurality of pixels. The light attenuation amount calculation unit calculates a light attenuation amount based on a ratio of a wavelength signal value of a target pixel to a representative signal value obtained from wavelength signal values of a local region around the target pixel. The pigment amount calculation unit calculates a pigment amount of a predetermined pigment component at the target pixel by resolving the light attenuation amount using an absorbance base of the predetermined pigment component.

Abstract: According to an embodiment, a control device includes a first calculator and a second calculator. The first calculator is configured to calculate a wavelength of light to be emitted from a light source whose emission intensity is controllable and which has at least one light emitting element at predetermined time intervals in a manner that adjusts the wavelength by a predetermined amount of change within a range of a first wavelength of light to be emitted at a start of adjustment to a second wavelength of light to be emitted at an end of the adjustment, the calculated wavelength being set as a third wavelength. The second calculator is configured to calculate an emission intensity of the light emitting element at the third wavelength.

Abstract: According to one embodiment, an image processing apparatus includes an acquisition unit, a clustering unit, a detection unit, and a correction unit. The acquisition unit is configured to acquire a moving image including a plurality of frames. The clustering unit is configured to cluster frames having a similar scene to the same group in the moving image. The detection unit is configured to detect at least one object region from each frame clustered to the same group, and to calculate a color distribution of the object region of the each frame. The correction unit is configured to select a typical color distribution of the object region from the color distribution of the each frame, and to correct a color of the each frame clustered to the same group, based on the typical color distribution.

Abstract: According to an embodiment, an image processing apparatus includes a feature data calculator, a generating unit, and an adding unit. The feature data calculator calculates feature data representing changes in pixel values within a first range of an input image. The generating unit obtains a weight of a predetermined image pattern on the basis of a probability distribution and the feature data. The weight represents a pattern of changes in the pixel values. The probability distribution represents a distribution of relative values of feature data of a learning image containing a high-frequency component with respect to feature data of a learning image. The generating unit weights the predetermined image pattern with the weight so as to generate a high-frequency component with respect to the input image. The adding unit adds the high-frequency component to the input image.

Abstract: An electronic sphygmomanometer having a function to calculate an index value of risk of circulatory system disease from measured blood pressure information includes a CPU, a memory, and a display. The CPU calculates the blood pressure of a person being examined based on pressure changes of an air bladder as measured by a pressure sensor. The memory stores data of the measured blood pressure together with time information of the measurement. The CPU calculates an index value of risk of circulatory system disease of the person being examined based on a difference between a blood pressure value obtained from a measurement and a blood pressure value obtained from a previous measurement and an elapsed time between the measurement and the previous measurement, A display part displays the calculated index value of risk of circulatory system disease of the person being examined together with the measured blood pressure.

Abstract: A specifying unit specifies a pixel value at a pixel position of a reference image to a pixel of a sample enlarged image at a position relative to a pixel position of the reference image as an initial pixel value. A selecting unit selects a target pixel from pixels other than pixels having the pixel values specified therefor including the pixels having the initial pixel values are set in the sample enlarged image. An allocating unit configured to allocate the pixel value of the pixel at a similar region position of the reference image to the pixel value of the target value in the sample enlarged image when a searching unit searches the similar region position similar to a pixel value pattern including a set of already specified pixels in a spatial neighborhood of the target pixel from the reference image is provided.

Abstract: According to an embodiment, an image processing apparatus includes a generation unit. The generation unit generates a texture image by searching for a similar pixel area to a processed pixel area near a processing target pixel in the texture image from a neighboring area at a position corresponding to the processing target pixel in a sample texture image and assigning the processing target pixel a pixel value near the similar pixel area in accordance with a positional relationship between the processed pixel area and the processing target pixel. The generation unit searches for the similar pixel area based on a similarity between a pixel value in a pixel area in the neighboring area and a pixel value in the processed pixel area and a determination result indicating whether each pixel in the neighboring area expresses a same object as that expressed by the processing target pixel.

Abstract: According to an embodiment, an image processing apparatus includes a generation unit. The generation unit generates a texture image by searching for a similar pixel area to a processed pixel area near a processing target pixel in the texture image from a neighboring area at a position corresponding to the processing target pixel in a sample texture image and assigning the processing target pixel a pixel value near the similar pixel area in accordance with a positional relationship between the processed pixel area and the processing target pixel. The generation unit searches for the similar pixel area based on a similarity between a pixel value in a pixel area in the neighboring area and a pixel value in the processed pixel area and a determination result indicating whether each pixel in the neighboring area expresses a same object as that expressed by the processing target pixel.

Abstract: An image processing device includes an acquisition unit, a memory, a search unit, and a synthesis unit. The acquisition unit acquires a moving image including a plurality of images, and sets a pixel in a process image as a target pixel. The process image is to be processed in the moving image. The memory stores a fine texture image obtained by extracting a texture component in a reference image different from the process image. The search unit sets a pixel position of the target pixel as a first position, and to search a predetermined range in the fine texture image in order to find a second position corresponding to the first position. The synthesis unit synthesizes a pixel value of the second position in the fine texture image with a pixel value of the target pixel.

Abstract: An apparatus includes. a unit generating a sample-texture image, a unit searching a preset-search range for similar pixels and to generate a texture image by assigning a pixel value of each of the similar pixels to a pixel value of a processing-target pixel in the texture image, the preset-search range being included in the sample-texture image and including a position corresponding to a position of the processing-target pixel to which any pixel value is not yet assigned, the similar pixels having, around the similar pixels, variation patterns similar to a pattern of pixels which are located in the texture image near the processing-target pixel and to which pixel values are assigned, and a unit combining the texture image and a base image of a same size as the texture image to obtain a synthetic image, the base image holding shades similar to shades of a transform-target image.