Canon Medical Systems Corporation

Canon Kabushiki Kaisha

Hideaki Kutsuna

Hidenori Takeshima

Kensuke Shinoda

Masahito Nambu

Yaado Sakata

Masanori Ozaki

Kyoichiro Aoki

A medical data processing device according to an embodiment includes a processing circuit. The processing circuit applies a linear calculation of a complex number coefficient and a non-linear activation not dependent on an argument of complex numbers, to medical data having a complex value.

Medical data processing device performing processing using a complex-number neural network

A data processing device according to an embodiment includes a processing circuit. The processing circuit performs data processing using a learned model with a neural network including a division processing layer that divides input complex first vector data by complex second vector data containing features of the first vector data, a nonlinear layer that is disposed in the subsequent stage of the division processing layer and that performs a nonlinear operation, and a multiplication processing layer that is disposed in the subsequent stage of the nonlinear layer and that multiplies the input data by the second vector data.

Data processing device, magnetic resonance imaging apparatus, and data processing method

A medical image processing apparatus according to the present embodiment includes processing circuitry. The processing circuitry inputs a first magnetic resonance image reconstructed with super-resolution processing on magnetic resonance data and a second magnetic resonance image obtained by imaging the same object as that of the first magnetic resonance image and with artifacts suppressed compared with the first magnetic resonance image, to a leaned model, the learned model being configured to output a third magnetic resonance image having the same resolution as that of the first magnetic resonance image and with the artifacts suppressed, generates the third magnetic resonance image based on the first magnetic resonance image and the second magnetic resonance image, using the learned model.

Medical image processing apparatus, method of medical image processing, and nonvolatile computer readable storage medium storing therein medical image processing program

An image generating apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to successively generate Magnetic Resonance (MR) images in a plurality of temporal phases by using a first reconstruction method. The processing circuitry is configured to determine a first temporal phase before MR images in all the temporal phases during a predetermined time period are generated. The processing circuitry is configured to generate an MR image in the first temporal phase determined by the determining unit, by using a second reconstruction method having a larger processing load than the first reconstruction method.

Image generating apparatus, image generating method and storage medium

An image generating apparatus according to the embodiment includes processing circuitry. The processing circuitry acquires MR data acquired in read-out directions including a first read-out direction and a second read-out direction intersecting the first read-out direction, filter sensitivity distributions corresponding to the read-out directions and indicating distributions of sensitivity of a low-pass filter, and coil sensitivity distributions corresponding to coil elements used to acquire the MR data. The processing circuitry generates synthesis sensitivity distributions for the respective read-out directions by synthesizing the filter sensitivity distributions and the coil sensitivity distributions for the respective read-out directions. The processing circuitry generates an MR image based on the synthesis sensitivity distributions and MR data.

Image generating apparatus, image generation method, and nontransitory computer-readable storage medium storing therein image generation program

According to one embodiment, a medical data processing apparatus includes processing circuitry. The processing circuitry acquires medical data, and generates an imaging parameter by inputting the medical data to a trained model, the imaging parameter being a parameter of a medical image diagnostic apparatus with respect to the medical data, the trained model being trained to generate an imaging parameter of the medical image diagnostic apparatus based on medical data.

Medical data processing apparatus and medical image diagnostic apparatus

An image generating apparatus according to an embodiment includes processing circuitry. The processing circuitry obtains a coil sensitivity distribution indicating a sensitivity distribution of a reception coil used for an imaging process performed on an examined subject and magnetic resonance data acquired from the imaging process that is non-Cartesian and performed in a k-space. The processing circuitry performs, on the basis of the coil sensitivity distribution, registration between the coil sensitivity distribution and a gridding sensitivity distribution indicating a distribution of gridding sensitivity related to arranging the magnetic resonance data in the k-space. The processing circuitry generates a magnetic resonance image on the basis of a result of the registration, magnetic resonance data, coil sensitivity distribution, and gridding sensitivity distribution.

Image generating apparatus, image generating method, and non-volatile computer-readable storage medium storing therein image generating program

A magnetic resonance imaging apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to set a rotation angle of a non-Cartesian trajectory in a k-space on the basis of information related to cyclic movements of a subject to be imaged, to obtain k-space data by rotating the non-Cartesian trajectory at the set rotation angle, and to generate an image by reconstructing the k-space data.

Magnetic resonance imaging apparatus and magnetic resonance imaging method

In one embodiment, an MRI apparatus includes a scanner and processing circuitry. The scanner includes at least two gradient coils. The processing circuitry is configured to cause the scanner to acquire k-space data for correction in a band-shaped two-dimensional k-space along a readout direction, or in a columnar three-dimensional k-space along a readout direction, while changing rotation angles, wherein each of the rotation angles corresponds to the readout direction, generate correction data for correcting an error due to a gradient magnetic field generated by the gradient coils, by using the acquired k-space data for correction, cause the scanner to acquire k-space data for reconstruction, based on a radial acquisition method, while correcting the gradient magnetic field by using the correction data, and generate an image by reconstructing the acquired k-space data for reconstruction.

MRI apparatus and MRI method

Humidified gas generated by a humidifying unit is supplied to a space between two adjacent print heads from one side of the space, and the humidified gas supplied to the space is discharged from the other side facing the one side across the space.

Print apparatus and print method

A mask of Y for a first pass is a mask in which a checker pattern having a high frequency characteristic is made to be the arrangement of the print permitting pixels, and a mask of C for the first pass is a mask in which a random image having a lower frequency characteristic is made to be the arrangement of the print permitting pixels. Further, each of the masks of Y and C for a second pass has an arrangement that mutually complements the arrangement of the print permitting pixels of the mask for the first pass. By using such masks, unevenness of the permeation speed caused by beading on a printing medium can be reduced. Further, high tolerance for interference to the mask of the prior pass and for influence of external disturbances can be achieved.

Growing community of inventors

Kawasaki, Japan

Hideaki Kutsuna