Abstract: Provided is a technology of ensuring data consistency between an image after a CNN is applied and an image before the CNN is applied with a simple CNN configuration in a case in which Gibbs ringing in an MR image is corrected by using the CNN. An MRI apparatus includes a ringing correction unit that performs ringing correction by using a CNN, in which the ringing correction unit performs a Fourier transform on an image after the CNN is applied to restore the image to k-space data, combines a region of the k-space data corresponding to a measurement matrix region of the image before the CNN is applied with the measurement data of the image before the CNN is applied to obtain k-space data in which the measurement matrix region is replaced with the measurement data of the image before the CNN is applied. An inverse Fourier transform is performed on the k-space data to obtain a final image.

Abstract: A ringing correction unit that performs Gibbs ringing correction on an image reconstructed at a reconstruction matrix size having a predetermined matrix ratio to a matrix size of measurement data is prepared, and in image reconstruction, first, reconstruction is performed at the reconstruction matrix size in which the matrix size of the measurement data and the reconstruction matrix size have the predetermined matrix ratio, to obtain an intermediate reconstructed image. The ringing correction is performed on the intermediate reconstructed image by the ringing correction unit, and then the intermediate reconstructed image is transformed into k-space data and reconstructed at a final image reconstruction matrix size.

Abstract: Provided is a technology capable of effectively obtaining a ringing correction effect even for a two-dimensional image or a three-dimensional image with a simple CNN configuration. A CNN that has been trained to perform ringing correction for a direction of a dimension lower than a dimension of an image that is a correction target is prepared, and the CNN is applied in multiple stages to perform the ringing correction. For training the CNN, an image captured by increasing a measurement matrix size in one or two directions need only be used, thereby reducing an imaging time for acquiring training data and a burden of data processing, and enabling handling of images of various dimensions.

Abstract: Provided is a technology capable of reducing a load during a training process and an application process of a CNN, and performing effective ringing correction in accordance with a sampling pattern. An aspect of the present invention provides an MRI apparatus including, as a ringing correction unit, a CNN for each sampling pattern. The CNN is trained by using a correct answer image in which rectangular or rectangular parallelepiped ringing in has not occurred and a plurality of processed pattern images. In the application of the CNN, measurement data is reconstructed at a desired reconstruction matrix size by performing zero-filling on the measurement data, and then a CNN corresponding to the sampling pattern of the measurement data is selected and applied to perform the ringing correction in a real space.

Abstract: A camera image of a subject placed on a table for subject transport of an imaging apparatus is acquired, and the camera image is used to present an optimal disposition of equipment to be mounted on the subject from the viewpoint of image quality. Next, a camera image of the subject on which the equipment is mounted is used to determine/predict safety, such as whether or not there is a collision or entanglement between the mounted equipment or the like and a structure of the imaging apparatus or the like, and whether or not a clearance with a bore can be maintained even after the mounting, and a result is presented to an operator.

Abstract: An MRI apparatus includes a measurement point determination unit that determines each measurement point of three-dimensional k-space data. In a case where a kx direction of a three-dimensional k-space is set as a readout direction, for a plurality of measurement points on a ky-kz plane, the measurement point determination unit adjusts a first condition that an angle of a straight line connecting the measurement points and a center of the plane changes with a golden angle (?) and a distance (r) from a center point of the plane monotonically increases, and determines the measurement point to satisfy a second condition that a change in a position of the measurement point is to be non-periodicity.

Abstract: An antenna according to an embodiment of the present technology includes a loop-shaped conductor and a structure. The loop-shaped conductor is configured in a loop shape surrounding a first direction and has a gap configured using a predetermined second direction orthogonal to the first direction as a reference. The structure is electrically connected to the loop-shaped conductor and arranged orthogonally to the second direction. Accordingly, it is possible to achieve a reduction of a distance from the human body and a reduction of a clearance from a metal part, and it is very advantageous for downsizing the electronic apparatus. Moreover, it is possible to exhibit high communication performance.

Abstract: A technology is provided for ensuring safety of a subject in advance by estimating whether or not the subject is in a dangerous state based on a body motion obtained from a camera video. An image diagnostic apparatus includes a body motion analysis unit, in which the body motion analysis unit includes a body motion indicator calculation section that calculates a quantity related to a body motion of a subject by using a video from an imaging device and calculates an indicator of the body motion by using the quantity and a coefficient determined in advance based on an examination condition, and a patient state estimation section that estimates a state of the subject by using the indicator of the body motion calculated by the body motion indicator calculation section, and alert information is output to the console based on an estimation result of the patient state estimation section.

Abstract: A process of two-dimensionally disposing a plurality of candidate images obtained by performing image processing on medical imaging data by respectively combining a plurality of different candidate values of one image quality parameter type and a plurality of different candidate values of the other image quality parameter type such that the plurality of candidate images can be selected, and determining at least one of the candidate value of the one image quality parameter type or the candidate value of the other image quality parameter type corresponding to the selected candidate image, as a set value of the image quality parameter type is performed in an order of a high priority among three or more image quality parameter types.

Abstract: A camera image of a subject to be examined after mounting a reception coil, which is acquired before the subject to be examined is transported to an imaging position, information for specifying a position (target position) of an imaging site of the subject to be examined, and design information of the reception coil are collated with each other, an element of the reception coil that includes the target position is selected, and a coil region to be activated, which includes the selected element, is determined. The target position is specified by a method such as a user designation on the camera image of the subject to be examined before mounting the reception coil, or a user designation on a pre-scan image. Image reconstruction is performed using a signal received by the element in the activated coil region.

Abstract: Provided are an image processing apparatus, an operation method of an image processing apparatus, a program, and a medical image processing system, in which denoising processing corresponding to a preference of a user is realized. An image processing apparatus acquires user identification information, acquires a first imaging condition, acquires a first image to which the first imaging condition is applied, executes denoising processing on the first image by applying a first denoising strength, to generate a first denoised image, acquires, from among second signal-to-noise ratios corresponding to a plurality of second imaging conditions, a second signal-to-noise ratio corresponding to a second imaging condition that is identical to or close to the first imaging condition, as a first signal-to-noise ratio, and sets a denoising strength based on the first signal-to-noise ratio, as the first denoising strength.

Abstract: The invention provides a technique capable of effectively and appropriately removing noise from various kinds of images including noise and artifacts and images in which a noise pattern changes due to a difference in imaging conditions. Based on a noise removal technique using AI, noise characteristics including artifacts are analyzed for each image, the image is classified based on an analysis result, an optimal neural network for a noise processing is applied for each classification, and the noise and the artifacts are reduced.

Abstract: Provided is a weighted reconstruction technique of a channel for suppressing a blood flow artifact and a body movement artifact in imaging using a multi-channel reception coil. In a case of reconstructing an image of a subject by using a nuclear magnetic resonance signal collected by each of a plurality of channels of a reception coil, by using a positioning image, an organ or a region causing a blood flow artifact and a body movement artifact in the subject is specified, a weight of each channel is decided by using information on the specified organ or region, and weighted reconstruction is performed by using the weight.

Abstract: Provided is an MRI apparatus that supports re-setting of an imaging condition for preventing occurrence of aliasing in a phase encoding direction. A region in which an aliasing signal causing aliasing occurs is estimated by using a FOV set at the beginning and a positioning image, a range of the FOV to be changed or a weighting amount of each channel of a reception coil is calculated based on an estimation result, and an imaging condition is changed. Thereafter, a main scan is executed, and in a case where a weight of the reception coil is changed, channel combination is performed using the changed weight.

Abstract: Provided is a method for performing reconstruction and noise removal with high accuracy on various undersampling patterns including equidistant undersampling. An image processing unit that processes measurement data acquired by an MRI apparatus performs image reconstruction by using measurement data on respective channels measured in a predetermined undersampling pattern and sensitivity distributions of respective reception coils. At this time, denoising of a reconstructed image and a calculation for maintaining consistency between original measurement data and the measurement data on the respective channels created from denoised images are sequentially processed. Accordingly, image restoration and denoising with high accuracy are possible without depending on the undersampling pattern.

Abstract: A technology is provided for enabling accurate understanding of a movement of a region that affects imaging, particularly, processing corresponding to a sudden or non-steady movement. A body movement information processing device receives a signal from a measuring device that measures movement information of a subject disposed in an imaging device, and processes the movement information of the subject. Therefore, the body movement of the subject is calculated using the signal from the measuring device. In that case, a calculation technique of discriminating between a periodic movement and a non-steady movement of the subject is used. The non-steady movement of the subject is extracted from the calculated body movement by using a mask for selecting a spatial region of a movement of the subject.

Abstract: Provided are an image processing apparatus, a medical imaging apparatus, and an image processing program that remove noise from an image having different noise levels depending on regions in the image at a low calculation cost, and enable high quality according to a preference of a reader. A plurality of image generators receive measurement data or a captured image obtained by an image data acquisition apparatus and generate different images for a same imaging range. An image selection and combination unit selects different image regions from a plurality of images generated by the plurality of image generators according to a predetermined region selection pattern, and generates one image by combining the images of the selected image regions.

Abstract: The present invention is to perform appropriate noise reduction processing on an image having different signal levels or noise levels depending on an imaging condition or a reconstruction condition. A magnetic resonance imaging apparatus according to the invention includes: a measurement unit that receives a nuclear magnetic resonance signal generated in a subject by a receiving coil; an image reconstruction unit that processes the nuclear magnetic resonance signal received by the receiving coil and reconstructs an image of the subject; an SNR spatial distribution calculation unit that calculates spatial distribution of a signal-to-noise ratio of the image using spatial distribution of a noise level and spatial distribution of the signal of the image; and a noise reduction unit that reduces noise from the image based on the spatial distribution of the signal-to-noise ratio.

Abstract: An image diagnosis supporting device includes a model reader that reads an image diagnostic model that outputs a diagnostic result for a diagnostic image that is an input medical image, a storage unit that stores facility data that is a plurality of medical images associated with diagnostic results held in a facility, and an adjuster that adjusts, based on the facility data, the image diagnostic model or the diagnostic image input to the image diagnostic model.

Abstract: To obtain a predictive model that shows a diagnostic prediction result with higher accuracy and high medical validity. A medical imaging apparatus includes an imaging unit that collects an image signal of an inspection target, and an image processing unit that generates first image data from the image signal and performs image processing of the first image data. The image processing unit includes a feature quantity extraction unit that extracts a first feature quantity from the first image data, a feature quantity abstraction unit that abstracts the first feature quantity to extract a second feature quantity, a feature quantity conversion unit that converts the second feature quantity into a third feature quantity extracted by second image data, and an identification unit that uses the converted third feature quantity to calculate a predetermined parameter value.