Abstract: A medical data processing method according to an embodiment includes inputting first medical data relating to a subject imaged with a medical image capture apparatus to a learned model to configured to generate second medical data having lower noise than that of the first medical data and having a super resolution compared with the first medical data based on the first medical data to output the second medical data.

Abstract: A medical image processing method includes obtaining a first set of projection data by performing, with a first CT apparatus including a first detector with a first pixel size, a first CT scan of an object in a first imaging region of the first detector; obtaining a first CT image with a first resolution by reconstructing the first set of projection data; obtaining a processed CT image with a resolution higher than the first resolution by applying a machine-learning model for resolution enhancement to the first CT image; and displaying the processed CT image or outputting the processed CT image for analysis. The machine-learning model is obtained by training using a second CT image based on a second set of projection data acquired by a second CT scan of the object in a second imaging region with a second CT apparatus including a second detector with a second pixel size.

Abstract: A flame-retardant soundproofing material for vehicles includes a polyurethane foam obtained by foam-molding a urethane resin composition. The urethane resin composition includes an isocyanate component (A), a polyol component (B), a flame-retardant plasticizer (C), and an antioxidant (D). The isocyanate component (A) includes a mixture of 2,4?-diphenylmethane diisocyanate and 4,4?-diphenylmethane diisocyanate, and one or more modified products selected from a carbodiimide-modified product and a uretonimine-modified product of at least one of 2,4?-diphenylmethane diisocyanate and 4,4?-diphenylmethane diisocyanate of the mixture.

Abstract: A medical image processing apparatus includes processing circuitry that obtains 1st projection data of a 1st region with 1st dynamic data and 2nd projection data of a 2nd region with 2nd dynamic data; when the 1st and 2nd dynamic data exceed a threshold and match in magnitude of motion, extracts, from the 1st and 2nd projection dataset for an angular range at a time interval or for the magnitude, a 1st projection dataset and 2nd projection dataset, respectively; when the 1st and 2nd dynamic data exceed the threshold and differ in the magnitude, extracts the 1st projection dataset from the 1st projection data for the magnitude, and extracts the 2nd projection dataset for the same magnitude from the 2nd projection data; reconstructs 1st and 2nd volume data based on the 1st and 2nd projection datasets, respectively; and generates volume data concatenating the 1st and 2nd volume data.

Abstract: A photon counting CT apparatus of an embodiment includes processing circuitry. The processing circuitry is configured to perform first determination processing of determining spike components in a counting image generated on the basis of sum data of photon detection results for a plurality of different X-ray energy bands and second determination processing of determining ring artifacts on the basis of a plurality of energy images generated on the basis of a photon detection result for each of the plurality of different X-ray energy bands, and remove or reduce ring artifacts in the counting image on the basis of both a result of the first determination processing and a result of the second determination processing.

Abstract: A cover for an automobile engine covers a crank pulley and an auxiliary drive belt of an engine arranged in an engine room with the crank pulley and the auxiliary drive belt being in a posture facing a front direction of a vehicle body. The cover includes a reinforcing body that includes a fastening part attaching to the engine and is integrated with a sound-absorbing main body.

Abstract: A medical image processing apparatus according to one embodiment includes processing circuitry. The processing circuitry acquires a plurality of pieces of energy bin data that are generated based on execution of photon counting CT scan. The processing circuitry reconstructs a plurality of energy band images based on the plurality of pieces of energy bin data. The processing circuitry generates, based on the plurality of energy band images, a three-dimensional histogram based on a plurality of pixel values and a plurality of energy bands included in the plurality of energy band images.

Abstract: A cover for an automobile engine covers a crank pulley and an auxiliary drive belt of an engine arranged in an engine room with the crank pulley and the auxiliary drive belt being in a posture facing a front direction of a vehicle body. The cover includes a reinforcing body that includes a fastening part attaching to the engine and is integrated with a sound-absorbing main body.

Abstract: A medical image processing device includes processing circuitry. The processing circuitry sets a first energy bin at a k-absorption edge of a specific substance and sets a second energy bin and a third energy bin on both sides of the first energy bin. The processing circuitry generates a first medical image and a second medical image in which the specific substance is more emphasized using data of the energy bins. The processing circuitry outputs the medical images via an output interface. The processing circuitry sets a weighting for the data in the first energy bin when the second medical image is generated to be less than a weighting for the data in the second energy bin when the second medical image is generated and to be less than a weighting for the data in the first energy bin when the first medical image is generated.

Abstract: According to one embodiment, a medical device operation method includes a monitoring step and an application step. In the monitoring step, a monitoring apparatus executes first CT imaging on a treatment target person into which a first drug particle with a suppressed onset of a treatment effect is introduced, and monitors an accumulation of the first drug particles in a tissue, based on spectral information acquired by the first CT imaging. In the application step, an application apparatus applies an action for exerting the treatment effect of the first drug particle to the first drug particle accumulating in the tissue, by using as a trigger an event that the accumulation of the first drug particles in the tissue satisfies an objective condition.

Abstract: A medical image diagnosis system includes an imaging apparatus and processing circuitry. The imaging apparatus applies one-time or multiple-time medical imaging to a subject to which a plurality of drugs having a tissue accumulation property, which corresponds to a tissue characteristic, are administered successively or simultaneously. The processing circuitry reconstructs one or a plurality of medical images, based on one or a plurality of set of raw data acquired by the one-time or multiple-time medical imaging. The processing circuitry estimates a tissue characteristic of a target region, based on a spatial distribution of the drugs rendered on the one or the plurality of medical images. The processing circuitry displays the estimated tissue characteristic.

Abstract: A medical information processing method according to an embodiment includes: acquiring an X-ray CT image (I1) and spectral information on imaging of the X-ray CT image (I1); acquiring sets of distribution data (D11, D12, and D13) on substances in the X-ray CT image by performing segmentation of the X-ray CT image (I1) according to substance; acquiring plural sets of forward projection data (P11, P12, and P13) on the respective substances by performing forward projection processes for the sets of distribution data (D11, D12, and D13) on the basis of the spectral information and attenuation coefficients for the respective substances; and generating a trained model (M1) by machine learning based on the plural sets of forward projection data (P11, P12, and P13) and raw data (R1) used in generation of the X-ray CT image (I1).

Abstract: A flame-retardant soundproof material for vehicles includes a polyurethane foam obtained by foam-molding a urethane resin composition. The urethane resin composition contains an isocyanate component (A), a polyol component (B), and an expandable graphite (C). The isocyanate component (A) includes a mixture of 2,4?-MDI and 4,4?-MDI, and one or more modified forms selected from carbodiimide modified forms and uretonimine modified forms of at least one of 2,4?-MDI and 4,4?-MDI. The content of the one or more modified forms in the urethane resin composition is 5.0 mass % to 8.8 mass %. The polyol component (B) includes a polyether polyol as a main constituent. The expandable graphite (C) has an expansion initiation temperature of 170° C. to 200° C., an expansion ratio of 10 or more at 250° C., and a content of 8 mass % to 20 mass % in the urethane resin composition.

Abstract: A medical data processing method according to an embodiment includes: outputting second spectral data by inputting first spectral data related to an examined subject imaged by a spectral medical imaging apparatus to a trained model configured to generate, on the basis of the first spectral data, the second spectral data having less noise than the first spectral data and a higher resolution than the first spectral data. The first spectral data in the medical data processing method according to the embodiment corresponds to medical data obtained by performing a spectral scan on the examined subject. The trained model in the medical data processing method according to the embodiment is configured to perform a noise reducing process and a super-resolution process on the first spectral data.

Abstract: A sound-absorbing cover comprises a first sound-absorbing layer and a second sound-absorbing layer made of foam, a first skin layer of the first sound-absorbing layer and a second skin layer of the second sound-absorbing layer are layered in a state of being made to face each other, and an air layer is provided between the facing surfaces of the first skin layer and the second skin layer. The rigidity of the first skin layer of the first sound-absorbing layer is different from the rigidity of the second skin layer of the second sound-absorbing layer.

Abstract: A medical image processing method includes obtaining a first set of projection data by performing, with a first CT apparatus including a first detector with a first pixel size, a first CT scan of an object in a first imaging region of the first detector; obtaining a first CT image with a first resolution by reconstructing the first set of projection data; obtaining a processed CT image with a resolution higher than the first resolution by applying a machine-learning model for resolution enhancement to the first CT image; and displaying the processed CT image or outputting the processed CT image for analysis. The machine-learning model is obtained by training using a second CT image based on a second set of projection data acquired by a second CT scan of the object in a second imaging region with a second CT apparatus including a second detector with a second pixel size.

Abstract: A medical data processing method according to an embodiment includes inputting first medical data relating to a subject imaged with a medical image capture apparatus to a learned model to configured to generate second medical data having lower noise than that of the first medical data and having a super resolution compared with the first medical data based on the first medical data to output the second medical data.

Abstract: An X-ray CT system includes an X-ray tube, an X-ray detector and processing circuitry. The processing circuitry is configured to cyclically change energy of the X-rays during one rotation of the X-ray tube around a subject. The processing circuitry is configured to perform a process including a correcting process addressing a difference in a transmission amount between X-rays having first energy and X-rays having second energy, on at least one selected from between: a plurality of first projection data sets acquired when the X-rays having the first energy were radiated; and a plurality of second projection data sets acquired when the X-rays having the second energy were radiated. The processing circuitry is configured to reconstruct an image on the basis of a combined data set generated on the basis of a plurality of projection data sets including the projection data sets resulting from the process.

Abstract: An X-ray CT system according to an embodiment includes processing circuitry configured to: execute first scanning of acquiring a first subject data set corresponding to first X-ray energy by irradiating a first region of a subject with X-rays; execute, after the first scanning, second scanning of acquiring a second subject data set corresponding to second X-ray energy and a third subject data set corresponding to third X-ray energy different from the second X-ray energy by irradiating a second region included in the first region with X-rays; and perform material decomposition among a plurality of reference materials based on: a fourth subject data set obtained based on the first subject data set and one of the second subject data set and the third subject data set; and the other of the second subject data set and the third subject data set.

Abstract: A medical processing apparatus includes processing circuitry. Based on a first number of X-ray datasets that correspond to the first number of energies and that are acquired by scanning a subject with X-rays, the processing circuitry generates a second number of virtual monochromatic X-ray datasets, which is a number larger than the first number. Based on the second number of virtual monochromatic X-ray datasets, the processing circuitry estimates quantities of the second number of reference materials mixed or a mixing ratio between the second number of reference materials for each of multiple positions in the subject.