Hitachi, Ltd.

Koha Co., Ltd.

Tdk Corporation

Fujifilm Healthcare Corporation

Hitachi Medical Corporation

Sony Group Corporation

Koganei Corporation

Yukio Kaneko

Yoshitaka Bito

Kazuo Aoki

Yoshihisa Soutome

Kiyoshi Shimamura

Encarnacion Antonia Garcia Villora

Noboru Ichinose

Hideta Habara

Yosuke Otake

Hisaaki Ochi

Mamoru Usami

Masahiro Ogino

Kazushi Tanaka

Zisheng Li

Toru Shirai

Suguru Yokosawa

Kunihiko Ozaki

Takeshi Umega

Naoyuki Echigo

Hiroshi Tominaga

Akihiko Kizaki

Koji Hirata

Hiroyuki Takeuchi

Tetsuhiko Takahashi

Tetsuo Ikeda

Yo Taniguchi

Tsuyoshi Komaki

Hikaru Hanada

Masayoshi Dohata

Kenji Yoneyama

Tomoki Amemiya

Yoshimi Noguchi

Takashi Kawamura

Kohjiro Iwasawa

Yoshihisa Sotome

Kazuki Matsuzaki

Kazuyuki Kato

Yoshimi Yodokawa

Atsuro Suzuki

Peifei Zhu

Yun Li

Toshikazu Tanae

Aya Kishimoto

A small-sized normal mode helical antenna is provided that is not affected by nearby conductors. The antenna is an antenna including a coil constituting a normal mode helical antenna, an area of a cross section perpendicular to an axis of the coil for a single turn at each end of the coil being less than an area of a cross section perpendicular to the axis of the coil near the coil center.

Antenna and electronic device

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.

Image processing apparatus, medical imaging apparatus, and image processing program

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.

Image diagnosis supporting device and image processing method

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.

Magnetic resonance imaging apparatus, noise reduction method and image processing apparatus

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.

Medical imaging apparatus, medical image processing apparatus, and image processing program

The receiving coil device includes one or a plurality of receiving coils configured to cover a head of a subject, a base portion on which the head of the subject is to be placed, a holder portion supported by the base portion, one of the receiving coils being fixed to the holder portion, a mechanism portion configured to bring the receiving coil fixed to the holder portion into close contact with a part of the head, and further, a detection unit configured to detect a physical quantity related to a displacement of the holder portion on the holder portion or the base portion. The physical quantity detected by the detection unit is sent to an MRI apparatus including the receiving coil device.

Receiving coil device and magnetic resonance imaging apparatus including the same

An image diagnostic device that obtains a prediction model indicating a higher accuracy diagnosis prediction result includes: an observation unit that collects an image of an examination object; and an image processing unit that generates first image data from the image, and performs image processing of the first image data. The image processing unit is provided with: a feature extraction unit that extracts a first feature from the first image data; a feature transformation unit that converts the first feature to a second feature to be extracted from second image data; and an identification unit that calculates a prescribed parameter value using the converted second feature. The feature extraction unit includes a prediction model learned using a plurality of combinations of the first image data and feature, and the feature transformation unit includes a feature transformation model learned using a plurality of combinations of the first and second features.

Image diagnostic device, image processing method, and program for obtaining diagnostic prediction models using deep learning

Image processing using a machine learning model is enabled, thereby accurately reducing noise to improve image quality. A medical image is acquired; and it is evaluated whether noise in the medical image exceeds a predetermined reference value. A noise reducer reduces the noise of the medical image that has been determined to include noise that exceeds the reference value. The noise of the medical image is reduced using a machine learning model constructed by collecting a plurality of learning data sets that include an image with noise as input data and an image without noise as output data. The machine learning model includes a plurality of layers that perform convolution on an image that is input, one layer of which includes a filter layer in which a plurality of linear or nonlinear filters are incorporated, and convolution coefficients of the plurality of linear or nonlinear filters are predetermined.

Medical imaging apparatus, medical image processing device, and medical image processing program

With an MRI apparatus using a transmission coil having multiple channels, a region desired to be diagnosed is efficiently imaged with high image quality. The MRI apparatus comprises a region setting means for setting a region in an imaging region, of which high quality image is desired to be obtained, as a first region, and an optimization means for determining at least one of amplitude and phase of a radio frequency wave transmitted to each of the multiple channels as a radio frequency magnetic field condition, and the optimization means determines the radio frequency magnetic field condition so that at least one of specific absorption ratio and signal value of a region that generates artifacts is not higher than a predetermined value defined for each, under a uniformity constraint condition that uniformity of radio frequency magnetic field distribution in the first region is not lower than a predetermined value.

Magnetic resonance imaging device, and determination method for high-frequency magnetic field conditions

Provided is a technique capable of achieving safety and image quality at the same time in an MRI device using a transmission coil including plural channels. An SAR distribution is calculated, and an imaging parameter is determined for optimizing a radio frequency magnetic field distribution in an imaging region while suppressing a maximum value of an SAR to be equal to or smaller than a predetermined threshold value. The determined imaging parameter includes a radio frequency magnetic field parameter for specifying radio frequency pulses to be transmitted through each of the plural channels. The SAR distribution is calculated using a database that retains an electric field distribution of each of the plural channels for each subject model retained in advance.

Magnetic resonance imaging device and imaging parameter determination method

Systems and methods for magnetic resonance imaging, including adjusting spatial distribution of a rotating magnetic field. By minimizing imaging time, the Bnonuniformity reducing effect of RF shimming is maximized for an imaging section of an arbitrary axis direction and an arbitrary position. Bdistributions are measured for only several sections of one predetermined direction, and a radio frequency magnetic field condition that maximizes the Bnon-uniformity reducing effect for an imaging section of an arbitrary direction and an arbitrary position is calculated from the Bdistribution data.

Magnetic resonance imaging equipment, high frequency magnetic field irradiation method and program

B1 distribution is calculated in a short time with a high degree of precision, and a high quality image is obtained. In the RF shimming for irradiating electromagnetic waves using an RF coil having multiple channels, the absolute values of subtraction images between multiple reconstructed images are used to calculate a transmitting sensitivity distribution which is necessary for calculating inter-channel phase difference and amplitude ratio of RF pulses provided to the respective channels. Those multiple reconstructed images are obtained by executing the imaging sequence after applying a prepulse at different flip angles respectively. Assuming an image obtained with a minimum flip angle as a reference image, for instance, the subtraction images are created between the reference image and the other respective images. It is also possible that multiple subtraction images being obtained are divided by one another, and the transmitting sensitivity distribution is created on the basis of the division result.

Magnetic resonance imaging device and transmitting sensitivity distribution calculation method

There is provided a technique for improving quality of images obtained with an MRI apparatus by using the geometric structures of the conventional RF transmission coil and RF reception coil and without increasing burden on patients or MRI technicians. A conductor loop of an RF reception coil disposed between a subject and an RF transmission coil is used also as a loop for magnetic field adjustment in order to shield or enhance a rotating magnetic field Bgenerated by the RF transmission coil. Further, the conductor loop operated as a conductor loop for magnetic field adjustment among the conductor loops constituting the RF reception coil is driven so that inhomogeneity of the rotating magnetic field Bis reduced.

RF reception coil and magnetic resonance imaging apparatus using same

A light emitting element that includes a GaOsubstrate; an AlGaN buffer layer (0&#x2266;&#xd7;&#x2266;1) formed on the GaOsubstrate; an n-GaN layer formed on the AlGaN buffer layer; an p-GaN layer formed on a portion of the n-GaN layer; an n-electrode formed on a portion of the n-GaN layer; and an p-electrode formed on the p-GaN layer.

Light emitting element and method of making same

Manufacture cost and maintenance cost of RF coils of MRI devices are reduced without any limitation concerning size of the coils. By constituting an antenna device for magnetic resonance imaging devices with a cylindrical outer conductor, a looped ribbon-shaped conductor disposed inside the cylindrical outer conductor along the cylindrical surface, and a feed point for transmission and/or reception between the cylindrical conductor and the ribbon-shaped conductor, and disposing the ribbon-shaped conductor so that length thereof can be readily adjusted, there is provided an antenna device for magnetic resonance imaging devices that generates a magnetic field component perpendicular to the central axis of the cylinder at a desired resonance frequency and shows sensitivity without using capacitors and without being imposed any limitation concerning size in the diametral direction of the cylinder.

Antenna device and magnetic resonance imaging device

Growing community of inventors

Tokyo, Japan

Yukio Kaneko