Abstract: The invention discloses a super-performance rubber pad material, preparation method, and pad structure for rail, comprising the following components by weight: natural rubber in 20-30 parts, nitrile rubber in 50-70 parts, thermoplastic polyester elastomer in 20-30 parts, modified hollow fiber in 25-30 parts, mesoporous nano-calcium carbonate in 10-30 parts, modified carbon nanotubes in 15-20 parts, polycarbonate in 8-10 parts, petroleum resin in 10-15 parts, vulcanization activator in 2-4 parts, antioxidant in 2-4 parts, vulcanization accelerator in 2-4 parts, vulcanizing agent in 1-3 parts, dispersant in 4-6 parts, and foaming agent in 3-6 parts. The mixture of natural rubber and nitrile rubber provides excellent elasticity and mechanical properties.

Abstract: The present disclosure discloses a scanning method and apparatus, a storage medium, and a computer device. The method includes: obtaining plain film information of a target scanning object, and determining a target bed height based on the plain film information; adjusting the plain film information based on the target bed height to obtain target plain film information; and performing a subsequent operation based on the target plain film information. The present disclosure helps to quickly determine the target bed height, adjust the plain film information based on the target bed height, and perform the subsequent operation based on adjusted plain film information. Thus, a quality of a scanned image is improved while an adjustment efficiency is increased, thereby greatly improving user experience.

Abstract: The present disclosure discloses a scanning method and apparatus, a storage medium, and a computer device. The method includes: obtaining plain film information of a target scanning object, and determining a target bed height based on the plain film information; adjusting the plain film information based on the target bed height to obtain target plain film information; and performing a subsequent operation based on the target plain film information. The present disclosure helps to quickly determine the target bed height, adjust the plain film information based on the target bed height, and perform the subsequent operation based on adjusted plain film information. Thus, a quality of a scanned image is improved while an adjustment efficiency is increased, thereby greatly improving user experience.

Abstract: A method and a device for processing metal artifacts in a CT image are provided. In an example, the method includes: a first image is obtained before a metal probe is intervened; second raw data and a second image corresponding to the second raw data are obtained after the metal probe is intervened; a third image of a metal region in the second image is obtained; channels corresponding to the metal region are determined; CT values of the metal region in the second image are set to a preset value to obtain a model image and model raw data corresponding to the model image; data at the channels in the second raw data is replaced with data at the channels in the model raw data to obtain a replaced second raw data; and based on the replaced second raw data and the third image, a target image is obtained.

Abstract: Methods, devices and a machine-readable storage medium for denoising a Computed Tomography (CT) image are provided. In one aspect, a method of denoising a CT image includes: generating an original CT image according to raw data which is obtained by scanning a subject, where a pixel count of the original CT image is greater than a preset target pixel count; obtaining a denoised image by denoising the original CT image; and obtaining a target image as a CT image of the subject by compressing the denoised image to the preset target pixel count based on an interpolation algorithm.

Abstract: A method of selecting a slice configuration of a medical imaging apparatus is provided. The method includes: picking out two or more candidate slice configurations from available slice configurations of the medical imaging apparatus; determining a scan dose corresponding to each of the two or more candidate slice configurations; and selecting a candidate slice configuration corresponding to a minimum scan dose as a target slice configuration, where the target slice configuration is used for a current scan protocol.

Abstract: The disclosure includes: judging whether a center line of an object to be scanned is deviated from a rotation axis of a gantry of a CT scanning device; determining a first distance by which the center line of the object to be scanned is deviated from the rotation axis in a case that the center line of the object to be scanned is deviated from the rotation axis; determining according to the first distance a second distance by which the shape filter is to be translated in each projection angle; and controlling the shape filter to make it translate by the second distance in each corresponding projection angle.

Abstract: A method for optimizing CT scanning parameter is disclosed. A target group may be generated from a plurality of reference information samples. Each of the reference information samples may include subject information, information indicating a scanning protocol, one or more scanning parameter values and information indicating reconstructed image quality; the target group can consist of one or more reference information samples with the same subject information and the same scanning protocol. A scanning parameter optimization may be performed according to reconstructed image qualities and scanning parameter values of reference information samples in the target group, so as to acquire a target scanning parameter value of the target group. And according to the target scanning parameter value, a reference X-ray irradiation dose corresponding to the scanning protocol and the subject information of the target group may be determined.

Abstract: Methods of reconstructing a CT image and CT devices are provided in examples of the present disclosure. In one aspect, scanning parameters for a CT device is obtained to perform a scan on a subject, a target reference detector is determined from the reference detectors according to the scanning parameters; the scan is performed on the subject according to the scanning parameters to obtain detection data outputted by the detector and reference detection data outputted by the target reference detector; energy data of the original X-rays emitted by the bulb tube with the scanning parameters is determined according to the reference detection data outputted by the target reference detector; the detection data outputted by the detector is corrected based on the energy data of the original X-rays to obtain scanning data; and the CT image of the subject is reconstructed by performing image reconstruction based on the scanning data.

Abstract: A method and a device for processing metal artifacts in a CT image are provided. In an example, the method includes: a first image is obtained before a metal probe is intervened; second raw data and a second image corresponding to the second raw data are obtained after the metal probe is intervened; a third image of a metal region in the second image is obtained; channels corresponding to the metal region are determined; CT values of the metal region in the second image are set to a preset value to obtain a model image and model raw data corresponding to the model image; data at the channels in the second raw data is replaced with data at the channels in the model raw data to obtain a replaced second raw data; and based on the replaced second raw data and the third image, a target image is obtained.

Abstract: Methods, devices and a machine-readable storage medium for denoising a Computed Tomography (CT) image are provided. In one aspect, a method of denoising a CT image includes: generating an original CT image according to raw data which is obtained by scanning a subject, where a pixel count of the original CT image is greater than a preset target pixel count; obtaining a denoised image by denoising the original CT image; and obtaining a target image as a CT image of the subject by compressing the denoised image to the preset target pixel count based on an interpolation algorithm.

Abstract: A method and device for X-ray scanning based on dose, comprising: receiving an X-ray dose for scanning set for a region of a subject to be scanned, selecting a scanning and reconstructing technology combination according to said pre-set X-ray dose for scanning wherein the demanded X-ray dose of the selected scanning and reconstructing technology combination satisfies said pre-set X-ray dose for scanning, and scanning said region and implementing a reconstruction accordingly with the selected scanning and reconstructing technology combination to obtain a resultant scanning image.

Abstract: Methods, devices, and apparatus, including computer programs encoded on a computer storage medium for reconstructing an image are provided. An example method includes: acquiring Computed Tomography (CT) projection data of a subject, determining an image cutoff frequency Fimg according to a CT image matrix size for reconstructing a CT image and an imaging field of view size, obtaining a convolution kernel and a cutoff frequency Fker of the convolution kernel, using the convolution kernel as a reconstruction convolution kernel when Fker<Fimg; adjusting Fker to a product of a preset value k and Fimg and truncating the convolution kernel to obtain a portion of the convolution kernel having a cutoff frequency no more than the adjusted Fker as the reconstruction convolution kernel when Fker?Fimg, and reconstruct the CT image with the CT projection data and the reconstruction convolution kernel by using a convolution back-projection algorithm.

Abstract: A method and apparatus for selecting high and low energy scanning voltages for a dual energy CT scanner are provided. The method may comprise: setting a criterion of selection for selecting high and low energy scanning voltages; generating combinations of high and low energy scanning voltages according to all scanning voltages supported by a dual energy CT scanner, wherein each of the combinations may comprise a high energy scanning voltage and a low energy scanning voltage; and selecting a combination of high and low energy scanning voltages from the generated combinations of high and low energy scanning voltages based on the criterion of selection.

Abstract: A method for correcting a CT scan image is provided. A target image including a target region to be corrected is extracted from an original CT scan image. A target projection range corresponding to the target region is obtained by orthographically projecting the target image, and target projection data within the target projection range is corrected. Noise of the corrected target projection data is adjusted to generate noise-adjusted target projection data to improve noise consistency between target region and the rest of the CT scan image. A corrected CT scan image is reconstructed based on the noise-adjusted target projection data.

Abstract: Methods of reconstructing a CT image and CT devices are provided in examples of the present disclosure. In one aspect, scanning parameters for a CT device is obtained to perform a scan on a subject, a target reference detector is determined from the reference detectors according to the scanning parameters; the scan is performed on the subject according to the scanning parameters to obtain detection data outputted by the detector and reference detection data outputted by the target reference detector; energy data of the original X-rays emitted by the bulb tube with the scanning parameters is determined according to the reference detection data outputted by the target reference detector; the detection data outputted by the detector is corrected based on the energy data of the original X-rays to obtain scanning data; and the CT image of the subject is reconstructed by performing image reconstruction based on the scanning data.

Abstract: A method of selecting a slice configuration of a medical imaging apparatus is provided. The method includes: picking out two or more candidate slice configurations from available slice configurations of the medical imaging apparatus; determining a scan dose corresponding to each of the two or more candidate slice configurations; and selecting a candidate slice configuration corresponding to a minimum scan dose as a target slice configuration, where the target slice configuration is used for a current scan protocol.

Abstract: A method for processing metal artifacts in a CT image is provided. The method may comprise: performing a first metal artifact processing on the original image to obtain a first processed image COR1 and extracting the high frequency portion of the first processed image COR1 to obtain a first high-frequency image COR1HF; performing a second metal artifact processing on the original image to obtain a second processed image COR2 and extracting the high frequency portion of the processed image COR2 second to obtain a second high-frequency image COR2HF; perform a weighted combination the first processed image COR1, the first high-frequency image COR1HF and the second high-frequency image COR2HF by using a weighting function W to obtain a result image CORImp containing no metal artifact, but information of area near the metal artifact.

Abstract: Methods, devices, and apparatus, including computer programs encoded on a computer storage medium for reconstructing an image are provided. An example method includes: acquiring Computed Tomography (CT) projection data of a subject, determining an image cutoff frequency Fimg according to a CT image matrix size for reconstructing a CT image and an imaging field of view size, obtaining a convolution kernel and a cutoff frequency Fker of the convolution kernel, using the convolution kernel as a reconstruction convolution kernel when Fker<Fimg; adjusting Fker to a product of a preset value k and Fimg and truncating the convolution kernel to obtain a portion of the convolution kernel having a cutoff frequency no more than the adjusted Fker as the reconstruction convolution kernel when Fker?Fimg, and reconstruct the CT image with the CT projection data and the reconstruction convolution kernel by using a convolution back-projection algorithm.

Abstract: A method for modulating x-ray radiation dose in CT scan is disclosed. The method may include: acquiring x-ray attenuation information of each Z position within a planned scanning sequence for a scan region of a subject from data of a finished scanning sequence for the subject; and then, based on the acquired x-ray attenuation information, performing dose modulation with respect to the XY scanning profile at each Z position within the planned scanning sequence. The finished scanning sequence can be an axial and/or helical scanning sequence for a scan region wholly or partially same as the scan region and has been performed earlier. The Z position may include a position in Z direction extending from head to foot of the subject or conversely. The XY scanning profile may include a scanning profile of the subject which is vertical to Z direction.