Fujifilm Corporation

Kabushiki Kaisha Toshiba

Sony Semiconductor Solutions Corporation

Sony Corporation

Riken Corporation

Fujifilm Corpoation

Takahiro Kawamura

Tetsuo Hasegawa

Satoshi Naito

Akihiko Ohsuga

Naoki Kase

Shinichi Nagano

Jun Enomoto

Noriaki Ida

Daiki Harada

Tomohiro Yamasaki

Yasuyuki Tahara

Takashi Machida

Yasunori Sogoh

Haruyasu Nakatsugawa

Yusuke Oike

Takashi Tajima

Shinya Yamakawa

Hideki Yamagishi

Ikuhiro Yamamura

Naoki Saka

Takeshi Koishi

Yutaka Irie

Takayuki Iida

Masumi Inaba

Hirofumi Sawada

Yumiko Shimogori

Yasunori Ohta

Sadato Akahori

Masahiko Yamada

Kenta Cho

Ryosuke Nakamura

Kazuharu Ueta

Kouji Ueno

Hiroyuki Ohri

Hiroki Tojinbara

Atsushi Fukuda

Yuzo Okamoto

Hisao Setoguchi

Tetsuo Uehira

Kayo Okano

Takaki Hatsui

Yumiko Shimogoori

A light-receiving element according to an embodiment of the present disclosure includes: a semiconductor substrate () including a photoelectric conversion region; a first electrically-conductive region (A) provided at an interface of one surface of the semiconductor substrate () and coupled to a first electrode (); a second first electrically-conductive region (B) provided at the interface of the one surface and around the first electrically-conductive region (A) and coupled to a second electrode (); and a third first electrically-conductive region (C) provided at the interface of the one surface and around the second first electrically-conductive region (B) and being in an electrically floating state.

Light-receiving element, x-ray imaging element, and electronic apparatus

A radiographic image processing device includes a radiographic image acquisition unit that acquires a plurality of radiographic images of a specific subject taken using radiations having energies different from each other, a structure recognition unit that recognizes structures, which is included in the subject, using the radiographic images, an attenuation coefficient calculation unit that calculates attenuation coefficients μ of the radiation for the structures, which are recognized by the structure recognition unit, using recognition results of the structure recognition unit and the plurality of radiographic images, and an image processing unit that performs image processing on the radiographic images using the attenuation coefficients.

Radiographic image processing device and non-transitory computer readable medium

A body thickness distribution calculation unit calculates a body thickness distribution of the subject. A soft region specification unit specifies a soft region indicating a region of a soft part from a radiographic image. A subject information acquisition unit calculates the proportion of muscle and the proportion of fat in the soft region for each pixel using the body thickness distribution and a pixel value of the soft region.

Subject information acquisition device, method for operating subject information acquisition device, and non-transitory computer readable medium

An image acquisition unit acquires two radiographic images based on radiation which has different energy distributions and has been transmitted through a subject including a soft part and a bone part. An attenuation coefficient derivation unit derives a difference between a value of an attenuation coefficient of the soft part×a thickness of the soft part+an attenuation coefficient of the bone part×a thickness of the bone part and each pixel value of the radiographic image for each of the different energy distributions while changing the attenuation coefficient of the soft part for each of the different energy distributions, the thickness of the soft part, the attenuation coefficient of the bone part for each of the different energy distributions, and the thickness of the bone part from initial values and derives the attenuation coefficient of the soft part and the attenuation coefficient of the bone part for each of the different energy distributions at which the difference is minimized or the difference is less than a predetermined threshold value.

Image processing device, image processing method, and image processing program

A motor organ disease prediction device includes at least one processor, in which the processor derives a bone mineral density of a target bone among bones included in a subject including a bone part and a soft part, a muscle mass around the target bone, shape information representing a shape of the target bone, and shape information representing a shape of a bone adjacent to the target bone from a first radiation image and a second radiation image acquired by imaging the subject by radiation having different energy distributions. The processor derives a probability of occurrence of a motor organ disease relating to the target bone from the bone mineral density of the target bone, the muscle mass around the target bone, the shape information of the target bone, and the shape information of the bone adjacent to the target bone.

Motor organ disease prediction device, motor organ disease prediction method, motor organ disease prediction program, learning device, learning method, learning program, and learned neural network

A processor acquires a positioning image acquired by imaging a subject by a radiography apparatus, specifies a standard position in the positioning image and a reference position in a target structure included in the subject in the positioning image, and derives a relative movement amount of the top plate, the radiation source, and the radiation detector based on a deviation amount of the reference position from the standard position.

Positioning device, positioning method, positioning program, radiation image processing device, radiation image processing method, and radiation image processing program

By subjecting a neural network to machine learning using teacher data consisting of learning data and correct answer data, a trained neural network that outputs at least one of a composition of a target subject or a body thickness of the target subject in a case in which at least one target radiation image of the target subject is input is constructed. The learning data includes a standard image acquired by irradiating a standard object of which a thickness and a material are known with radiation in a state in which an object is interposed between the standard object and a radiation detector, an energy characteristic of the radiation, a thickness and a material of the object, and an imaging condition in a case in which the standard image is acquired. The correct answer data includes at least one of a composition or a body thickness of a subject derived from at least one radiation image of the subject by using the standard image, the energy characteristic of the radiation, the thickness and the material of the object, and the imaging condition.

Learning device, learning method, and learning program, radiation image processing device, radiation image processing method, and radiation image processing program

A solid-state imaging device includes a pixel having a photoelectric conversion element which generates a charge in response to incident light, a first transfer gate which transfers the charge from the photoelectric conversion element to a charge holding section, and a second transfer gate which transfers the charge from the charge holding section to a floating diffusion. The first transfer gate includes a trench gate structure having at least two trench gate sections embedded in a depth direction of a semiconductor substrate, and the charge holding section includes a semiconductor region positioned between adjacent trench gate sections.

Solid-state imaging device, with transfer transistor gate electrode having trench gate sections

An image acquisition unit acquires two radiographic images based on radiation which has different energy distributions and has been transmitted through a subject including a soft part and a bone part. A subtraction unit performs weighting subtraction using a predetermined initial weighting coefficient between corresponding pixels of the two radiographic images to derive a soft part image obtained by extracting the soft part of the subject and a bone part image obtained by extracting the bone part of the subject. A weighting coefficient derivation unit derives a new weighting coefficient on the basis of a pixel value of the bone part included in the bone part image. The subtraction unit performs the weighting subtraction on the two radiographic images using the new weighting coefficient to derive a new soft part image and a new bone part image.

Energy subtraction processing device, energy subtraction processing method, and energy subtraction processing program

An image generation unit generates a contrast-reduced image in which contrast in a region other than a soft part is reduced in a radiographic image indicating a subject including the soft part and a bone part. A body thickness derivation unit derives the body thickness of the subject based on the contrast-reduced image.

Image processing apparatus, method, and program

An imaging condition acquisition unit acquires an imaging condition in a case in which a subject is imaged in a state in which an object is interposed between the subject and a radiation detector. A body thickness derivation unit derives a body thickness distribution of the subject based on the radiation image and the imaging condition. A characteristic acquisition unit acquires a radiation characteristic of the object in accordance with the body thickness distribution. A ray distribution unit derives a primary ray distribution and a scattered ray distribution of the radiation detected by the radiation detector by using the imaging condition, the body thickness distribution, and the radiation characteristic. A calculation unit updates the body thickness distribution such that an error between a sum of the primary ray distribution and the scattered ray distribution and a pixel value at each position of the radiation image is smaller than a predetermined threshold value, and repeats the derivation of the radiation characteristic based on the updated body thickness distribution and the derivation of the primary ray distribution and the scattered ray distribution.

Radiation image processing device, radiation image processing method, and radiation image processing program

At least one standard image representing a standard object having different thicknesses, the at least one standard image being obtained by imaging the standard object by radiation in a state in which an object is interposed between the standard object and a radiation detector is acquired, a relationship between the thickness of the standard object and a radiation attenuation coefficient of the standard object, which corresponds to an energy characteristic of the radiation, the relationship reflecting an influence of beam hardening by the standard object and the object, is derived, a primary ray component corresponding to the thickness of the standard object included in the standard image is derived based on the relationship between the thickness of the standard object and the radiation attenuation coefficient of the standard object, a scattered ray component corresponding to the thickness of the standard object included in the standard image is derived based on a difference between the standard image and the primary ray component, and a scattered ray model representing a relationship between the thickness of the standard object and a ratio of the scattered ray component to the primary ray component is derived.

Scattered ray model derivation device, scattered ray model derivation method, scattered ray model derivation program, radiation image processing device, radiation image processing method, and radiation image processing program

A subject information acquisition unit calculates a bone mineral density in the bone region and a muscle mass in the soft region for each pixel on the basis of a radiographic image. A statistical value calculation unit calculates a statistical value related to the subject on the basis of the bone mineral density and the muscle mass. An evaluation value calculation unit calculates the fracture risk evaluation value for evaluating the fracture risk of the subject on the basis of the statistical value.

Fracture risk evaluation value acquisition device, method for operating fracture risk evaluation value acquisition device, and non-transitory computer readable medium

A processor acquires at least one radiographic image of a subject including a plurality of compositions and acquires a composition ratio of the subject. The processor sets an attenuation coefficient of radiation used in a case in which the radiographic image is acquired for each pixel of the radiographic image according to the composition ratio. The processor performs image processing on the radiographic image using the set attenuation coefficient.

Radiographic image processing device, radiographic image processing method, and radiographic image processing program

An image acquisition unit acquires two radiographic images based on radiations which are transmitted through a subject containing a plurality of compositions and have energy distributions different from each other. A body thickness derivation unit derives, as a first body thickness and a second body thickness, body thicknesses of the subject for pixels of the two radiographic images. A composition ratio derivation unit derives composition ratios of the subject for the pixels of the radiographic images based on the first body thickness and the second body thickness.

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Kanagawa, Japan

Takahiro Kawamura