Daiichi Pharmaceutical Co., Ltd.

Hitachi, Ltd.

Hitachi Medical Corporation

Daiichi Sankyo Company, Limited

Nippon Steel Corporation

Fujifilm Healthcare Corporation

Ace Denken Co., Ltd.

Shinko Mechatrotech Co., Ltd.

Mitsubishi Denki Kabushiki Kaisha

Ishikawajima-harima Jukogyo Kabushiki Kaisha

Hisashi Takahashi

Makoto Takemura

Rie Miyauchi

Koichi Hirokawa

Taiga Goto

Katsuhiro Kawakami

Isao Hayakawa

Youichi Kimura

Taiga Gotou

Kenichi Kimura

Hitoshi Ohki

Satoshi Komoriya

Toshiyuki Takeda

Hiroaki Inagaki

Eiji Ogura

Masatoshi Nagamochi

Junichi Kuroyanagi

Kazuyuki Sugita

Yohhei Ishida

Tomiyasu Sasaki

Yoshiharu Abe

Jun Furudate

Keisuke Yamakawa

Masao Itoh

Takao Kawanami

Satoru Miyauchi

Shinichi Kojima

Kenichi Yoshida

Isao Takahashi

Tetsuya Suzuki

Toshio Fujita

Hironori Ueki

Kiyoshi Nakayama

Takahiro Kitamura

Hideaki Fujii

Susumu Nomura

Yoshiaki Sugaya

Yasuyuki Takeda

Toshihiko Baba

Yasuo Otoguro

Takashi Furuya

Keiji Sodeno

Hiromasa Hirata

Katsuyoshi Yoshida

Takashi Odagiri

Toshifumi Tsuda

Katukuni Hashimoto

Kazuo Kanai

Tsuyoshi Ohtani

Satoshi Hanai

Kenji Namba

Mayumi Tanaka

Masayasu Sekiguchi

Mariko Yamamoto

Kana Tanaka

There are a medical image processing apparatus and a medical image processing method that are capable of maintaining the estimation accuracy of noise intensity even though a system noise ratio rises. A medical image processing apparatus includes a difference image generating unit that divides projection data obtained by applying radiation to an examinee to create a difference image between tomographic images reconstructed for every divided piece of projection data; a local variance computing unit that computes local variance in the difference image; and a noise estimation unit that corrects the local variance using a correction function found in advance to estimate noise intensity of a tomographic image of the examinee. The correction function includes system noise.

Medical image processing apparatus and medical image processing method

A medical image processing apparatus and a medical image processing method capable of improving structural component detectability with respect to a noise component in a medical image. The medical image processing apparatus includes: a separation unit that separates the medical image into a first component including a structural component as a main component and a second component including a noise component as a main component; a modulation unit that modulates the second component with a spatial frequency; and a correction unit that generates a corrected image based on the first component and the modulated second component.

A medical image processing apparatus reducing noise of a medical image acquired includes a smoothing unit forming a smoothed image of the medical image, a route forming unit forming a route that is a pixel group positioned continuously in the smoothed image and fulfills a route condition, and a noise reducing unit extracting a pixel group corresponding to the route in the medical image and reducing noise of the medical image based on the extracted pixel group.

Noise is reduced for a medical image for which noise cannot be quantified by a general-purpose image quality evaluation index. An image processor has a preprocessor that generates input images including an original image and one or more images with reduced noise compared with the original image; and a noise reduction processor outputs an image, which is obtained by reducing noise from the original image based on the input images, by applying a learned network. The learned network used in the noise reduction processor is constructed by performing deep learning using a plurality of learning sets in which one or more of a medical image including noise, a noise-reduced image obtained by performing noise reduction processing on the medical image, and an intermediate image obtained during the noise reduction processing are input images and a correct image is obtained based on the input images an output image.

Image processing apparatus, image processing method, and X-ray CT apparatus

The present invention provides an image reconstruction apparatus and an image reconstruction method, both of which achieve reduction in a granular noise and a streak-like artifact both contained in a reconstruction image, and a clear structure boundary as well. The image reconstruction apparatus configured to generate a reconstruction image includes a noise reduction section that generates a streak reduction image as an image obtained by reducing a streak-like artifact in the reconstruction image, a noise reduction ratio acquisition section that acquires a first noise reduction ratio as a noise reduction ratio to be used for reducing a granular noise while retaining a structure boundary in the reconstruction image, and a second noise reduction ratio as a noise reduction ratio to be used for generating the streak reduction image, and an image addition section that adds an addition image to be generated based on the first noise reduction ratio and the second noise reduction ratio to the streak reduction image.

Image reconstruction apparatus and image reconstruction method

A medical image processing device and a corresponding method are provided that can extract and enhance a signal in a medical image. A medical image processing device that applies image processing to a medical image, the device including an acquiring unit that acquires an original image, a first extraction unit that extracts a local bias component image, a creating unit that decomposes a difference image between the original image and the local bias component image into at least two frequency bands and creates a low-frequency component image formed of a component in the lowest frequency band, a second extraction unit that extracts a local bias component low-frequency image that is a local bias component of the low-frequency component image, and a computing unit that multiplies the local bias component low-frequency image by a gain, adds to the local bias component image, and computes a contrast enhanced image.

Medical image processing device and medical image processing method

An image is generated where an edge of a structure in a subject is sharpened with reducing streak artifacts, within a short amount of time. X-rays at multiple angles are applied to the subject placed in imaging space, and a distribution of X-rays strength passing through the subject is detected to obtain raw data associated with multiple views. After smoothing the raw data associated with multiple views, image reconstruction is performed to generate a smoothed image of a predetermined region to be imaged in the imaging space. In the smoothed image, more intense sharpening process is applied to pixels in a region of a central part of the subject, than the pixels in a region of a peripheral part of the subject.

X-ray CT scanner, image generation method, and image generation program

Even a windmill artifact including a high-frequency component in a plane perpendicular to a rotation axis can be reduced and a boundary of an organ can be made to be clear to maintain the contrast. The invention relates to a medical image processing device and includes an image acquiring unit that acquires a 3D volumetric image, a Z high-frequency image generating unit that generates a Z high-frequency image which is a high-frequency component in a rotation axis direction from the 3D volumetric image, an organ component extracting unit that extracts an organ component from the Z high-frequency image, an artifact component extracting unit that extracts an artifact component on the basis of the Z high-frequency image and the organ component, and a corrected image generating unit that generates a corrected image by subtracting the artifact component from the 3D volumetric image.

Medical image processing device and X-ray CT device provided with same, and medical image processing method

In order to determine noise intensity more accurately by a projection data division method using data after fan-parallel conversion, a plurality of projection data obtained by irradiating a scan object with radiations are received and subjected to prescribed data conversion; data after the conversion is divided into two or more sets; a reconstructed image is generated for each set of data; and the generated reconstructed image for each of the sets is subtracted to generate a difference image. An index indicating pixel value variation for at least one prescribed region on the difference image is calculated, the value of the index is corrected by a previously calculated correction value, and the corrected index value is regarded as noise intensity of the region.

Image reconstruction device, X-ray CT device, and image reconstruction method

A reconstruction image is generated with a small number of updates, with the use of an iterative approximation method. A specified tomographic image of a subject is received, and a process is performed two or more times, where an update process is performed according to the iterative approximation method, using the tomographic image as an initial image and an update image is obtained. Then, an update vector corresponding to a difference between thus generated update images of the update process performed twice is multiplied by predetermined coefficients, so as to generate an estimated update vector. Using this vector, an update image is generated. Then, this update image is used as a new initial image, and a process is repeated where the update process is performed according to the iterative approximation method and an update image is obtained, thereby generating a tomographic image of the subject.

Image computing device, image computing method, and tomograph

In order to provide a data processing device and the like, capable of performing highly accurate reference correction even in a case where an object protrudes in reference channels in most of the measurement views, an image processing device (data processing device) of an X-ray CT apparatus calculates a unit air calibration reference value which is a value per unit tube current of an air calibration reference value which is reference data measured during air calibration, calculates a reference value (estimated reference value) corresponding to an X-ray condition in the main scanning on the basis of an output tube current value in the main scanning and a unit air calibration reference value, and corrects normalized reference data obtained by normalizing a measured reference value in the main scanning with the estimated reference value, to be included in an allowable error range, so as to remove the influence of protrusion.

Data processing device, X-ray CT apparatus, and reference correction method

A paper sheet conveyance device for conveying a paper sheet by an airstream generated in a tubular conveyance path. The paper sheet conveyance device includes a frame member that supports the conveyance path and are provided along an installation route of the conveyance path, pedestal units attached to the frame member and that slide along a longitudinal direction of the frame member, and a plurality of paper sheet capturing devices that send out the paper sheet to be conveyed into the conveyance path and are provided in the conveyance path. Each of the paper sheet capturing devices includes a path part that forms a part of the conveyance path, which is formed by joining a plurality of conveyance ducts and the path parts of the paper sheet capturing devices. The pedestal unit is provided for and holds each of the paper sheet capturing devices.

Paper sheet conveyance device and separation/collection device

In order to reduce a metal artifact using a short process, without causing image quality deterioration, when a subject containing metal is imaged in an X-ray CT apparatus, the invention is such that a high frequency component is extracted utilizing the fact that a high frequency component is a structure in error projection data, which are a difference between primary corrected projection data wherein at least one portion of an artifact component caused by metal has been removed and photographed projection data acquired by imaging. The high frequency component, extracted while carrying out weighting in order to suppress the metal artifact, is restored to the primary corrected projection data, after which an image is reconstructed. Also, metal projection data used when compiling the primary corrected projection data are calculated from a value that is a CT value corresponding to soft tissue subtracted from a CT value of a metal region.

X-ray CT apparatus, reconfiguration arithmetic apparatus, and X-ray CT image generation method

An X-ray CT apparatus includes an extraction unit that acquires air data measured using the X-ray CT apparatus and the measurement data obtained by scanning the object, that extracts sensitivity variation data which is a sensitivity variation component of a detection element from the air data, and that extracts blank data from which the sensitivity variation component is removed, and a projection data generation unit that removes the sensitivity variation component and noise which are included in the measurement data, based on the sensitivity variation data, and that uses the blank data so as to perform a correction process of the measurement data from which the sensitivity variation component and the noise are removed.

X-ray CT apparatus, data processing device, and projection data generation method

A separation/collection device is provided in a paper sheet conveyance device for generating an airstream in a conveyance duct and for conveying a paper sheet inserted into the conveyance duct by being pushed from behind by a conveyance subsidiary body moving in the conveyance duct by receiving the airstream. The separation/collection device separates and collects the conveyance subsidiary body and the paper sheet at an ending portion of a conveyance path. The separation/collection device includes a separation unit that passes the paper sheet pushed and conveyed by the conveyance subsidiary body, in a downstream direction, and that stops the conveyance subsidiary body by contacting the conveyance subsidiary body with the separation unit, a tubular path part that receives the paper sheet output from the separation unit, and a rib provided on an inner wall of the path part.

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Tokyo, Japan

Hisashi Takahashi