Canon Medical Systems Patente

A magnetic resonance imaging apparatus according to an embodiment includes a static magnetic field magnet, an amplifier circuit, a phase control circuit, and an RF coil. The static magnetic field magnet is configured to generate a static magnetic field in a bore. The amplifier circuit is configured to amplify an input signal. The phase control circuit is configured to control a phase of a signal amplified by the amplifier circuit on a basis of gain of the amplifier circuit obtained from a signal inputted to the amplifier circuit and a signal amplified by the amplifier circuit, and on a basis of a reference gain. The RF coil is configured to transmit, to a subject placed in the bore, an RF pulse based on a signal amplified by the amplifier circuit and whose phase is controlled by the phase control circuit.

An image processing device (2) according to an embodiment includes processing circuitry (23) and a memory (22). The processing circuitry (23) displays first CT image data (90a) corresponding to a first keV value on a display (25) with a first window width and a first window level. The processing circuitry (23) determines a second window width and a second window level based on the first window width and level, respective CT values of a specific area corresponding to the first keV value and a second keV value, statistical information regarding the respective CT values of the specific area corresponding to the first and second keV values. The processing circuitry (23) displays second CT image data (90b) corresponding to the second keV value on the display (25) with the second window width and the second window level. An embodiment discloses an image processing method and a computer program.

According to one embodiment, an electrolyte detection unit includes a probe that feeds a solution sucked from one end to the other end, a vortex generation member disposed near the other end of the probe, and an electrode unit that generates potential relating to predetermined ions included in the solution that has passed through a region in which the vortex generation member is disposed.

An MRI apparatus (1) according to an embodiment includes a setting unit and a scanner. The setting unit is configured to set a pulse sequence including a plurality of sub pulse sequences to acquire a plurality of MR data each corresponding to a different one of a plurality of echo signals emitted from an object after applying a MT pulse and a RF pulse to the object, each of the plurality of sub pulse sequences corresponding to an Ultrashort Echo Time sequence. The scanner is configured to acquire the plurality of MR data based on the pulse sequence set by the setting unit. The MR data corresponding to an initial echo signal after the application of the RF pulse to the object among the plurality of echo signals in at least one of the plurality of sub pulse sequences is used for analyzing both bound water and free water in the object.

A medical image processing apparatus (102) according to an embodiment includes an image acquisition unit (112); a spatial information acquisition unit (152); a feature map generation unit (122, 132); and an execution unit (162). The image acquisition unit (112) is configured to acquire a plurality of medical images. The spatial information acquisition unit (152) is configured to acquire three-dimensional spatial information corresponding to the medical images and representing three-dimensional spatial characteristics. The feature map generation unit (122, 132) is configured to generate a feature map based on the medical images and the three-dimensional spatial information. The execution unit (162) is configured to execute processing on a target medical image based on the feature map.

A method for performing neural-network-based image enhancement in a medical imaging system, the method comprising: acquiring an image of an imaging object, the acquired image including a plurality of patches, with adjacent patches having an overlapping region; using a trained neural network to perform image enhancement on the acquired image in a patch-by-patch manner; and assembling a neural-network-enhanced image, based on an output from the trained neural network and a first blending function, wherein the assembling step performs a weighted summation for each voxel in the overlapping regions based on the first blending function, so as to mitigate checkerboard artifacts in the neural-network-enhanced image.

A magnetic resonance imaging apparatus (100) according to an embodiment includes a prepulse application unit (121) configured to perform irradiation of a saturation RF pulse as a prepulse, a readout unit (122) configured to read out a saturation magnetic resonance signal in a spatially selective manner, the saturation magnetic resonance signal corresponding to a signal excited by the saturation RF pulse, a main-acquisition unit (123) configured to perform a main acquisition including irradiation of an excitation RF pulse, after the irradiation of the saturation RF pulse, the excitation RF pulse being a different RF pulse from the saturation RF pulse; and an output unit (124) configured to output the saturation magnetic resonance signal and main-acquisition data acquired by the main acquisition.

An imaging area output apparatus according to an embodiment includes a processing circuitry. The processing circuitry acquires a template for searching an imaging area. The processing circuitry generates, based on pixel information of each of pixels, an appropriateness map representing an appropriateness degree as the imaging area for each of the pixels. The processing circuitry generates an integral map of the appropriateness map, and calculates an evaluation value as the imaging area of the template by utilizing the integral map with respect to each of disposition ranges of the template to the appropriateness map. The processing circuitry searches a specific disposition range in which the evaluation value satisfies a separately determined condition, and outputs identification data of the imaging area corresponding to the specific disposition range.

A medical information processing apparatus (100) according to an embodiment includes processing circuitry (150). The processing circuitry (150) acquires a plurality of images of a target organ (20) captured in time series. The processing circuitry (150) specifies, from each of the images, a target organ region (200) where the target organ (20) is depicted. The processing circuitry (150) specifies, from each of the images, a device region (60) where a device (30) attached to the target organ (20) is depicted. The processing circuitry (150) specifies, based on the target organ region (200) and the device region (60), an index relating to a state of the target organ (20) to which the device (30) is attached. The index is specified from change in a relative position of the device (30) with respect to the target organ (20) in a specific attention direction (D). An embodiment discloses a medical information processing method.

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An image processing apparatus according to an embodiment includes processing circuitry (9070). The processing circuitry (9070) is configured to acquire list-mode data corresponding to a plurality of detection times, generate a plurality of frames based on the list-mode data, assign at least one frame of the plurality of frames into a first frame group based on a similarity of each frame, assign at least one frame of the plurality of frames into a second frame group based on a similarity of each frame, estimate first and second frame group-specific reconstruction parameters based on frames in first frame group, and frames in the second frame group, respectively, wherein the first and second frame group-specific reconstruction parameters are different, reconstruct a first set of frame data from any frame of the first frame group based on the first frame group-specific reconstruction parameter, and reconstruct a second set of frame data from any frame of the second frame group based on the second frame group-specific reconstruction parameter.

According to one embodiment, an analysis apparatus includes a signal processing unit, a calculation unit and a display control unit. The signal processing unit generates a harmonic signal and a fundamental wave signal based on a reception signal that is collected by an ultrasound probe, the harmonic signal corresponding to a harmonic component of a reflected wave of a ultrasound generated in the subject, the fundamental wave signal corresponding to a fundamental wave component of the reflected wave. The calculation unit calculates a first index value indicating tissue properties of the subject based on the harmonic signal, and calculate a second index value indicating the tissue properties based on the fundamental wave signal. The display unit displays an analysis result based on the first index value and the second index value.

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In one embodiment, a receiving coil (20) includes a plurality of coil elements (200), wherein: at least one of the coil elements (200) includes a loop coil (210) and a modified dipole (300) disposed inside the loop coil (210); and the modified dipole (300) includes a main dipole (310) configured to receive a radio-frequency "RF" signal and output a reception signal and a parasitic element (320, 330) that includes a split ring (321, 331) having a gap (322, 332) in part of a ring shape.

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According to one embodiment, a medical information processing method generates a high-contrast image by applying conversion processing to a first medical image captured by a first diagnostic apparatus and having a first contrast in a region of interest, the high-contrast image having a contrast higher than a contrast of a second medical image obtained by a second diagnostic apparatus. The method generates a pseudo second medical image by applying image processing to the high-contrast image, the pseudo second medical image simulating the second medical image and having a second contrast lower than the first contrast. The method trains a model using the pseudo second medical image as input data and the high-contrast image as ground truth data, and generates a trained model.

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An information processing apparatus (40) according to an embodiment sets an image generation condition for photon counting computed tomography (PCCT) imaging; and includes an input unit (4422), an obtaining unit (4423), and a setting unit (4424). The input unit (4422) receives an input that specifies a radiogram interpretation target. Based on target-by-target setting information in which, for each radiogram interpretation target, energy range setting is defined which is related to an energy range meant for discriminating the photons originating from the X-rays that have passed through the subject, the obtaining unit (4423) obtains the energy range setting corresponding to the radiogram interpretation target received by the input unit (4422). The setting unit (4424) sets the energy range setting as obtained by the obtaining unit (4423).

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A medical information processing device according to an embodiment includes an ultrasound probe (5) and processing circuitry(110). The processing circuitry(110) obtains first ultrasound data obtained by execution of an ultrasound scan of a subject via the ultrasound probe (5), the first ultrasound data representing plural frames consecutive in a time direction; inputs data based on the first ultrasound data into a trained model; and obtains second ultrasound data from the trained model, the second ultrasound data representing a single frame and being higher in spatial resolution of fluid in the subject than the first ultrasound data.

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