Abstract: Iterative reconstruction (20) of imaging data is performed to generate a sequence of update images (22) terminating at a reconstructed image. During the iterative reconstruction, at least one of an update image and a parameter of the iterative reconstruction is adjusted using an adjustment process separate from the iterative reconstruction. In some embodiments using an edge-preserving regularization prior (26), the adjustment process (30) adjusts an edge preservation threshold to reduce gradient steepness above which edge preservation applies for later iterations compared with earlier iterations. In some embodiments, the adjustment process includes determining (36, 38) for each pixel, voxel, or region of a current update image whether its evolution prior to the current update image 22) satisfies an artifact feature criterion. A local noise suppression operation (40) is performed on the pixel, voxel, or region if the evolution satisfies the artifact feature criterion and is not performed otherwise.

Abstract: A non-transitory computer-readable medium stores instructions readable and executable by at least one electronic processor (181, 182, 20) to perform an imaging method (100). The method includes: reconstructing emission imaging data to generate an emission image of a lesion; converting intensity values of the emission image to at least one standardized uptake value (SUV value) for the lesion; processing input data using a regression neural network (NN) (28) to output an SUV correction factor for the lesion, wherein the input data includes at least two of (i) image data comprising the emission image or a feature vector representing the emission image, (ii) the at least one SUV value, (iii) a size of the lesion, and (iv) reconstruction parameters used in the reconstructing; and controlling a display device (24) to display at least one of (I) the SUV correction factor and (II) a corrected SUV value generated by applying the SUV correction factor to the at least one SUV value.

Abstract: This application provides a headset accommodating apparatus, a headset, and a portable device. The headset accommodating apparatus includes a base, and an accommodating cavity used to accommodate a headset is formed on the base. The accommodating cavity has a bottom surface, a side wall, and an opening, and has a first end corresponding to a headset head and a second end corresponding to a headset tail. An epitaxial frame that extends toward the second end is formed at an opening of the first end. The apparatus includes a first spring and a sliding block at a side wall of the second end, and the first spring may be compressed in a direction of a connecting line between the first end and the second end. A first end of the sliding block is connected to the first spring, and a protruding part is formed on a second end of the sliding block.

Abstract: An object area measurement method and an apparatus are provided, relating to the computer vision and deep learning technology. The method includes acquiring an original image with a spatial resolution, the original image including a target object; acquiring an object identification model including at least two sets of classification models; generating one or more original image blocks based on the original image; performing operations on each original image block: scaling each original image block at at least two scaling levels to obtain scaled image blocks with at least two sizes, the scaled image blocks respectively corresponding to the at least two sets of classification models, and inputting the scaled image blocks into the object identification model to obtain an identification result of the target object; and determining an area of the target object based on the respective identification results of the one or more original image blocks and the spatial resolution.

Abstract: A method for detecting a surface defect, a method for training model, an apparatus, a device, and a medium, are provided. The method includes: inputting a surface image of the article for detection into a defect detection model to perform a defect detection, and acquiring a defect detection result output by the defect detection model; inputting a surface image of a defective article determined to be defective into an image discrimination model based on the defect detection result to determine whether the surface image of the defective article is defective, wherein the image discrimination model is a trained generative adversarial networks model, and the generative adversarial networks model is obtained by training using a surface image of a defect-free good article; and adjusting the defect detection result of the surface image of the defective article according to a determination result of the image discrimination model.

Abstract: This document provides methods and materials involved in treating cardiovascular conditions such as calcific aortic valve stenosis. For example, methods and materials for using sGC agonists or a combination of sGC agonists and PDE5A inhibitors to reduce calcification of heart valves and/or vessels or to slow progression of aortic sclerosis to calcific aortic valve stenosis are provided.

Abstract: A buffer stage for amplifying a clock signal generated by a current controlled oscillator that receives a first current at a first supply voltage from a first current source. The buffer stage comprises an input terminal configured to receive the clock signal; an output terminal configured to output a buffered signal; at least one buffer, coupled between the input and output terminal, configured to receive a second current at a second supply voltage and buffer the clock signal to generate the buffered signal; a clamping circuit that receives the first current and the second current, and generates a first supply voltage and a second supply voltage. The clamping circuit clamps the second supply voltage equal to the first supply voltage.

Abstract: The following relates to noise filtering in nuclear imaging systems. In one aspect, a fully automatic noise filtering system is provided in a nuclear imaging device. In some embodiments, a filter parameter selection engine is applied to an image environment of a medical image to calculate an image filter configuration for the medical image wherein the image environment includes values for one or more of an imaging subject of the medical image, an imaging device used to acquire the medical image, and a medical context of the medical image.

Abstract: The present disclosure discloses a method and apparatus for generating an image, a device, a storage medium and a program product, relates to the field of artificial intelligence, and particularly to computer vision and deep learning technologies, and may be applied in smart cloud and power grid inspection scenarios. A particular implementation of the method comprises: acquiring an original insulator image; performing an image transformation on the original insulator image to obtain a composite insulator image; and inputting the original insulator image and the composite insulator image into a pre-trained generative adversarial network to generate a target insulator image. According to the implementation, the image transformation is performed on the original insulator image, and then, massive target insulator images are generated through the generative adversarial network.

Abstract: The present disclosure discloses a method and apparatus for training a model, a method and apparatus for predicting a mineral, a device and a storage medium, and relates to the fields of computer vision and deep learning technologies. An implementation of the method may include: acquiring a target hyperspectral image of a target area, the target hyperspectral image including at least one pixel point annotated with a mineral category; determining a mask image corresponding to the target hyperspectral image; determining a sample hyperspectral image according to the target hyperspectral image and the mask image; determining an annotation vector of each pixel point according to the at least one pixel point annotated with the mineral category; and training a model according to the sample hyperspectral image and the annotation vector of the each pixel point.

Abstract: The present application provides a display substrate having a plurality of subpixel areas. The display substrate includes a base substrate; a first electrode layer on the base substrate and including a plurality of first electrodes respectively in the plurality of subpixel areas; an auxiliary electrode layer; and an insulating layer between the first electrode layer and the auxiliary electrode layer. The first electrode layer and the auxiliary electrode layer are spaced apart and insulated from each other by the insulating layer. An orthographic projection of each individual one of the plurality of first electrodes on the base substrate at least partially overlap with an orthographic projection of the auxiliary electrode layer on the base substrate. Each of the plurality of first electrodes is electrically connected to a pixel circuit configured to drive light emission in a respective one of the plurality of subpixel areas.

Abstract: A process for the incineration of precious metal catalyst briquettes, wherein the precious metal catalyst briquettes comprise precious metal catalyst, optionally water, and, also optionally, binder.

Abstract: A display apparatus and a preparation method thereof, the display apparatus includes a display panel whose display area has a first hole; a polarizer disposed on one side of the display panel, wherein the polarizer has a blind hole, the blind hole penetrates through an optical characteristic layer in the polarizer, and an orthographic projection of the blind hole on the display panel at least partially overlaps with the first hole; a first optical adhesive layer disposed on a surface of the polarizer away from the display panel, wherein the first optical adhesive layer includes a planar portion and a convex portion, and the convex portion is filled in the blind hole; a cover plate disposed on one side of the first optical adhesive layer away from the display panel.

Abstract: The present application discloses a data acquisition method, a microprocessor and an apparatus with storage function. The method may include: a request information for obtaining a target information may be received. The request type of the request information may be an instruction request or a data request. The instruction cache and the data cache may be queried respectively, to determine whether the target information matching with the requested information exits in the instruction cache and the data cache. If the target information exists in another cache that does not match with the request type of the request information, then the target information may be returned from the cache that does not match with the request type of the request information. The present application may physically separate the instruction cache and the data cache, thereby improving the data acquisition efficiency.

Abstract: A non-transitory computer-readable medium storing instructions readable and executable by a workstation (18) including at least one electronic processor (20) to perform a quality control (QC) method (100). The method includes: receiving a current QC data set acquired by a pixelated detector (14) and one or more prior QC data sets acquired by the pixelated detector; determining stability levels of detector pixels (16) of the pixelated detector over time from the current QC data set and the one or more prior QC data sets; labeling a detector pixel of the pixelated detector as dead when the stability level determined for the detector pixel is outside of a stability threshold range; and displaying, on a display device (24) operatively connected with the workstation, an identification (28) of the detector pixels labelled as dead.

Abstract: An array substrate, a manufacturing method thereof, and a display device are provided. The array substrate includes a base substrate and a thin film transistor on the base substrate; a light shielding layer is disposed between the thin film transistor and the base substrate, and the light shielding layer includes a light shielding metal layer and a light reflection adjusting layer which are stacked on the base substrate, the light reflection adjusting layer covers the light shielding metal layer, and a reflectance of the light reflection adjusting layer is lower than a reflectance of the light shielding metal layer.

Abstract: Provided are a method and apparatus for evaluating image relative definition, a device and a medium, relating to technologies such as computer vision, deep learning and intelligent medical. A specific implementation solution is: extracting a multi-scale feature of each image in an image set, where the multi-scale feature is used for representing definition features of objects having different sizes in an image; and scoring relative definition of each image in the image set according to the multi-scale feature by using a relative definition scoring model pre-trained, where the purpose for training the relative definition scoring model is to learn a feature related to image definition in the multi-scale feature.

Abstract: A vehicle having a reinforcement brace includes, among other things, an aft structure, a passenger side strut, a driver side strut, a passenger side load transfer frame coupling the aft structure to the passenger side strut and being configured to transfer a load applied to the aft structure from a rear of a vehicle to the passenger side strut, and a driver side load transfer frame coupling the aft structure to the driver side strut and being configured to transfer a load applied to the aft structure from the rear of the vehicle to the driver side strut.

Abstract: A method for measuring corrosion-expansion force during cracking of concrete due to corrosion and expansion of reinforcing steel; wherein, deformation on a surface of reinforced concrete is photographed based on a digital image correlation (DIC) method, a full-field displacement and a full-field strain on a surface of the concrete are analyzed and calculated, a relationship between corrosion-expansion force and the strain on the surface of the concrete is found through an established theoretical model, and corrosion-expansion force of reinforcing steel and a change rule of the corrosion-expansion force are calculated. Therefore, the method is simple and includes with safe and reliable operations, scientific principles, and low costs, so that a change in corrosion-expansion force during corrosion and expansion of reinforced concrete can be monitored in real time.

Abstract: The present disclosure relates to an electronic display device, including a rigid substrate including a first surface, a second surface opposite the first surface, and a side surface coupled between the first surface and the second surface, a flexible OLED layer including a first body segment extending over the first surface of the rigid substrate to form a display front surface of the electronic display device, a second body segment extending over the second surface of the rigid substrate to form a back surface of the electronic display device, and a bent segment coupled between the first body segment and the second body segment, and a functional component coupled to the second body segment of the flexible OLED layer to implement a display function of the electronic display device, the functional component being hidden on the back surface of the electronic display device.