公开(公告)号：US20200209333A1

公开(公告)日：2020-07-02

申请号：US16720281

申请日：2019-12-19

Applicant: Canon Medical Systems Corporation

Inventor： Kenzo ISOGAWA

IPC: G01R33/56 ,  G01R33/54 ,  A61B5/055 ,  G06T5/00

Abstract: According to one embodiment, a magnetic resonance imaging apparatus includes processing circuitry. The processing circuitry is configured to apply a filter to each of a first real-part image and a first imaginary-part image of a first complex image generated based on acquired magnetic resonance data and thereby generate a second complex image that includes a second real-part image and a second imaginary-part image. The processing circuitry is configured to generate a phase image denoised by the filter, the denoised phase image generated based on the second real-part image and the second imaginary-part image. The processing circuitry is configured to generate an intensity image related to an absolute value of the first complex image based on pixel values of the denoised phase image, the first real-part image, and the first imaginary-part image.

公开(公告)号：US20230117621A1

公开(公告)日：2023-04-20

申请号：US18084863

申请日：2022-12-20

Applicant: KABUSHIKI KAISHA TOSHIBA ,  CANON MEDICAL SYSTEMS CORPORATION

Inventor： Kenzo ISOGAWA ,  Tomoyuki TAKEGUCHI

IPC: G06N3/048 ,  G06T5/00 ,  G06N3/045 ,  G16H30/40 ,  G06N3/084

Abstract: In one embodiment, an image processing system includes a memory and processing circuitry. The memory is configured to store a predetermined program. The processing circuitry is configured, by executing the predetermined program, to perform processing on an input image by exploiting a neural network having an input layer, an output layer, and an intermediate layer provided between the input layer and the output layer, the input image being inputted to the input layer, and adjust an internal parameter based on data related to the input image, while performing the processing on the input image after training of the neural network, the internal parameter being at least one internal parameter of at least one node included in the intermediate layer, and the input parameter having been calculated by the training of the neural network.

公开(公告)号：US20220187402A1

公开(公告)日：2022-06-16

申请号：US17684601

申请日：2022-03-02

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Kenzo ISOGAWA ,  Toshiyuki ONO ,  Kenichi SHIMOYAMA ,  Nobuyuki MATSUMOTO ,  Shuhei NITTA ,  Satoshi KAWATA ,  Toshimitsu KANEKO ,  Mai MURASHIMA

IPC: G01R33/565

Abstract: A magnetic resonance imaging apparatus according to an embodiment includes an MRI system and a processing circuitry. The MRI system includes a receiving coil to receive a magnetic resonance signal. The processing circuitry is configured to generate an image based on the magnetic resonance signal, the image including a plurality of pixels; calculate a feature value corresponding to a signal value of the pixel; correct the feature values based on a sensitivity of the receiving coil; and reduce noise in the image based on distribution of the corrected feature values.

公开(公告)号：US20220254021A1

公开(公告)日：2022-08-11

申请号：US17733290

申请日：2022-04-29

Applicant: CANON MEDICAL SYSTEMS CORPORATION

Inventor： Takashi IDA ,  Kenzo ISOGAWA

IPC: G06T7/00 ,  A61B5/055 ,  G01R33/48

Abstract: According to one embodiment, a medical image diagnostic apparatus includes processing circuitry. The processing circuitry inputs a noise correlation map and a medical image or an intermediate image to a learned model that is functioned to generate a denoise image, in which noise of the medical image or noise of the intermediate image is reduced, based on the medical image generated based on data collected with respect to a subject or the intermediate image at a front stage for generating the medical image and the noise correlation map correlated with the noise included in the medical image or the intermediate image, and generates the denoise image, in which the noise of the medical image or the noise of the intermediate image is reduced.

公开(公告)号：US20240127043A1

公开(公告)日：2024-04-18

申请号：US18392105

申请日：2023-12-21

Applicant: KABUSHIKI KAISHA TOSHIBA ,  CANON MEDICAL SYSTEMS CORPORATION

Inventor： Kenzo ISOGAWA ,  Tomoyuki TAKEGUCHI

IPC: G06N3/048 ,  G06N3/045 ,  G06N3/084 ,  G06T5/70 ,  G16H30/40

CPC classification number: G06N3/048 ,  G06N3/045 ,  G06N3/084 ,  G06T5/70 ,  G16H30/40 ,  G06T2207/20084 ,  G06T2207/30004

Abstract: In one embodiment, an image processing system includes a memory and processing circuitry. The memory is configured to store a predetermined program. The processing circuitry is configured, by executing the predetermined program, to perform processing on an input image by exploiting a neural network having an input layer, an output layer, and an intermediate layer provided between the input layer and the output layer, the input image being inputted to the input layer, and adjust an internal parameter based on data related to the input image, while performing the processing on the input image after training of the neural network, the internal parameter being at least one internal parameter of at least one node included in the intermediate layer, and the input parameter having been calculated by the training of the neural network.