Canon Medical Systems Corporation

Toshiba Medical Systems Corporation

Hidetaka Konta

Yoshimori Kassai

Shinya Ozawa

Yuto Ono

Kensuke Shinoda

Masashi Ookawa

Kazuya Tanoue

Kiyomi Ooshima

Junichiro Araoka

Yutaka Hoshiyama

Yoshiharu Ohiwa

Takeshi Obara

Gaku Kaneda

Kiyomi Oshima

An imaging assisting apparatus according to an embodiment is configured to assist imaging of a medical image diagnosis apparatus that performs a series of medical examinations including a plurality of scan protocols, the imaging assisting apparatus including a processing circuit. The processing circuit is configured to obtain data acquired according to one or more already-executed scan protocols among the plurality of scan protocols. The processing circuit is configured to perform one of the following when a disease or a region suspected of a disease is extracted from the data: controlling a scan protocol which is among the plurality of scan protocols and later than the already-executed scan protocols; and generating reference information related to controlling a scan protocol which is among the plurality of scan protocols and later than the already-executed scan protocols.

Imaging assisting apparatus and storage medium storing therein imaging assisting computer program

An information processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to perform an image generating process of generating a plurality of medical images on the basis of a plurality of imaging parameter groups, the plurality of imaging parameter groups being updated by adversarial learning. The processing circuitry is configured to perform a discriminating process of discriminating whether or not each of the plurality of medical images is a target image acquired by a first medical imaging apparatus in the adversarial learning. The processing circuitry is configured to output one of the imaging parameter groups used for generating the medical images in the image generating process when the adversarial learning has converged.

Information processing apparatus

In one embodiment, an MRI apparatus includes a memory storing a predetermined program and processing circuitry. The processing circuitry configured, by executing the predetermined program, to generate a first image based on first data acquired from an object with Ultrashort TE (UTE), generate a second image based on second data acquired from the object with non-UTE, generate a mask image from the second image, and perform mask processing, by using the mask image, to remove or reduce an undesired signal around the object depicted in the first image.

MRI apparatus utilizing non-ultrashort TE(UTE) imaging to generate a mask image for performance of mask processing

In one embodiment, an MRI apparatus () includes a reference scan setting unit (), a reference scan execution unit, and an image generation unit. The reference scan setting unit calculates a signal acquisition region of 'a reference scan in which MR signals used for generation of a sensitivity distribution map of each coil element are acquired', depending on an imaging region of a main scan of parallel imaging. The reference scan execution unit executes the reference scan on the calculated signal acquisition region. The image generation unit generates image data according to 'MR signals acquired by the main scan' and 'the sensitivity distribution map generated based on MR signals acquired by the reference scan'.

Magnetic resonance imaging apparatus and magnetic resonance imaging method

Growing community of inventors

Utsunomiya, Japan

Hidetaka Konta