Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A ground fault detection apparatus includes a capacitor, switches for switching between a V0 charge path including the battery and the capacitor, a Vcn charge path including the battery, the capacitor and negative-side insulation resistance as insulation resistance between negative side of the battery and ground, a Vcp charge path including the battery, the capacitor and positive-side insulation resistance as insulation resistance between positive side of the battery and ground, and a charge voltage measurement path including the capacitor and a measurement resistor, an offset voltage divider circuit that divides and offsets voltage produced at the measurement resistor, a control device that controls the switches and calculates the insulation resistance using output voltage of the offset voltage divider circuit as a measured value, based on V0 measured at the V0 charge path, Vcn measured at the Vcn charge path and Vcp measured at the Vcp charge path.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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 paper sheet conveyance device includes an air volume adjustment unit that adjusts a strength of the airstream according to a position of the conveyance subsidiary body moving in the conveyance path.

Abstract: A network test method includes acquiring information of a type of each of a plurality of terminals and a coupling relationship of the plurality of terminals in a network, creating a test item of a communication test and a network path which becomes the target of the test, acquiring setting information including a switching time period of a terminal or terminals related to a redundant configuration, predicting a result of a communication test, requesting the result which carried out in the network, evaluating communication in the network by performing comparison between a result of the prediction and the test result which carried out in the network.

Abstract: 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.

Abstract: Provided is a pneumatic tire including: a plurality of land portion rows formed by arranging a plurality of land portions formed by main grooves and transverse grooves in a tire circumferential direction on a tire tread portion, wherein assuming a tire circumferential length of an element formed of the land portion and the transverse groove disposed adjacently to the land portion on one side in the circumferential direction as a pitch length P and the number of pitches which is the number of the elements over the whole circumference of the tire as N, the number of kinds k of pitch lengths P in the circumferential direction is set to N/4 or more and N or less. Assuming the pitch lengths P in a descending order as P1, P2, . . . , Pk, a relationship of Pm-1/Pm<1.050 and a relationship of 1.60?P1/Pk<2.00 are satisfied (m: an integer of 2 to k).

Abstract: In order to provide a technique capable of restoring measured data from projection data with high accuracy and removing system noise included in the measured data, a signal processing device obtains measured data x including signal values of 0 or less by processing an output signal from a data acquisition system, and performs a conversion process on the measured data x by using a predefined function including a logarithmic function so as to generate projection data (logarithmically converted data z), in which the predefined function is a function of which an inverse function is present for values of a predetermined negative number s or more, and the measured data x including signal values of 0 or less within a predetermined range is restored from the projection data by applying the inverse function to the projection data.