Abstract: The present disclosure discloses a method and a system for generating a composite PET-CT image based on a non-attenuation-corrected PET image. The method includes: constructing a first generative adversarial network and a second generative adversarial network; obtaining a mapping relationship between a non-attenuation-corrected PET image and an attenuation-corrected PET image by training the first generative adversarial network; obtaining a mapping relationship between the attenuation-corrected PET image and a CT image by training the second generative adversarial network; and generating the composite PET-CT image by utilizing the obtained mapping relationships. According to the present disclosure, a high-quality PET-CT image can be directly composited from a non-attenuation-corrected PET image, and medical costs can be reduced for patients, and radiation doses applied to the patients in examination processes can be minimized.

Abstract: The application provides a task scheduling simulation system, comprising a data preprocessing subsystem and a task scheduling subsystem. The data preprocessing subsystem filters the input cloud computing log information for abnormal data and extracts the running time of each task. The task scheduling subsystem enqueues or dequeues tasks from the batch task and real-time task running queues of each node, and keeps the tasks currently running in the cluster consistent with the actual production environment, and updates the number of CPU cores and the used and available memory capacity of each node according to resource requirement of each task. The mixed scheduling simulation of batch tasks and online tasks can be realized, and the resource simulation of the heterogeneous CPU core number and memory capacity of the cluster nodes can be simulated.

Abstract: The disclosure provides a low-dose image reconstruction method and system based on prior anatomical structure difference.

Abstract: The present disclosure provides a classification method and a classification device of an indoor scene. The classification method includes steps: receiving an input scene picture to be classified; obtaining a current local observation area from the scene picture to be classified according to a observation area positioning model; processing image information of the current local observation area to obtain a feature vector; obtaining a classification prediction result according to the feature vector; determining Whether the classification prediction result satisfies a predetermined scene picture classification condition; if not, obtaining a next local observation area from the scene picture to be classified and setting the next local observation area to be the current local observation area, then skipping to the step of processing the image information of the current local observation area; if yes, obtaining a classification label of the scene picture to be classified.

Abstract: Provided are a method and device for magnetic resonance parameter imaging, medical equipment, and a storage medium. The method comprises: performing acceleration sampling with respect to an image to be reconstructed of an observation target in a preset parameter direction to acquire K-space data corresponding to the image to be reconstructed, calculating, on the basis of the K-space data and of a parameter relaxation model, a parameter value and a compensation coefficient of the image to be reconstructed, generating, on the basis of the compensation coefficient, a compensation image corresponding to the image to be reconstructed, calculating, on the basis of the compensation image, respectively a low-rank part and a sparse part of the image to be reconstructed so as to update the compensation image.

Abstract: The present disclosure provides a three-dimensional shape expression method and device thereof. The method includes following steps: extracting a hybrid type framework of a three-dimensional shape; obtaining a segmentation of the three-dimensional shape by segmenting the hybrid type framework; obtaining a sub-structure of the three-dimensional shape according to the segmentation of the three-dimensional shape; and establishing an expression of the three-dimensional shape by using a bag-of-words model according to the sub-structure of the three-dimensional shape. The embodiments of the present disclosure are capable to express a three-dimensional shape with an easy and high-efficient method.

Abstract: A three-degree-of-freedom parallel mechanism with curved sliding pairs includes a fixed platform, a moving platform, and three curved branches disposed between the fixed platform and the moving platform. Each of the curved branches includes a first curved link and a second curved link that share a common arc center. One end of the first curved link is connected to fixed platform by a rotational pair. One end of the second curved link is disposed in a cavity at another end of the first curved link. The second curved link is operative to perform a reciprocating motion along a tangent of an arc of the first curved link. Another end of the second curved link is connected to the moving platform by a ball joint. The axes of the three rotational pairs of the three curved branches coincide with each other and are perpendicular to the fixed platform.

Abstract: A parking lot data repair method and apparatus, a device, and a storage medium.

Abstract: The present disclosure provides a license plate recognition method, a device thereof, and a user equipment. In the method, a vehicle image is acquired and input to a vehicle searching convolutional neural network (CNN) to search whether there is a vehicle. Then, a license plate image is acquired and input to a license plate searching CNN to search whether there is a license plate. And the license plate image is input to a tensor neural network to detect abnormal or not. Then, a recognition image is acquired and input to judge an area number, letters, and numbers. And an area number image, a letter image, and a number image are output and input to their corresponding recognition CNNs respectively to recognize an area number, letters, and numbers and output respectively. Ultimately, a license plate number recognition result in a form of “area number letter number” are output.

Abstract: Provided are composite array electrode, preparation method thereof and use thereof. The composite array electrode comprises a microelectrode array substrate, and a modification layer formed on a surface of a microelectrode of the microelectrode array substrate, wherein the modification layer comprises a plurality of electrically conductive layers arranged at intervals on the surface of the microelectrode, an insulating layer arranged on the surface of the microelectrode except the electrically conductive layers, and wherein material for the electrically conductive layers comprises one or more of nano platinum, nano iridium, conductive polymer and carbon nanotubes. The composite array electrode effectively eliminates the influence of edge effect such that the electric field distributes uniformly on the microelectrode surface of the composite array electrode, significantly improving electrochemical performance and detection capability of the electrode.

Abstract: A local shimming system for magnetic resonance imaging and the method thereof, wherein the shimming method comprises the following steps: collecting B0 field map information using two-dimensional gradient echo (301); calculating and evaluating the homogeneity of B0 (302); optimizing the current of each channel shim coil (303); determining whether the minimum standard deviation value of ?f is obtained (304); outputting an optimal current combination values and setting an optimum current value corresponding to each channel of the shim coil on the current control software (305); and testing and evaluating the homogeneity of B0 to achieve the shimming goal (306).

Abstract: Disclosed are a texture synthesis method and a device using the same. The texture synthesis method adopts a source labeled diagram and a target labeled diagram in combination to guide the texture synthesis process, so that the texture synthesis is in a controlled state, thus effectively improving the accuracy and efficiency of the computer in processing complex texture information such as textures composed of multiple materials or textures involving non-uniform gradients. Meanwhile, determination of the accuracy of the texture features of the labeled diagram is introduced to the process of producing the labeled diagram, and the labeled diagram with low accuracy is re-abstracted and -segmented so that the classification of the texture features would be more accurate. This interactive iterative method improves the accuracy of the labeled diagram generation process. The device using this method also provides the same technical effects.

Abstract: A method for evaluating a multi-modal emotion cognition capability of a patient with an autism spectrum disorder, mainly includes the following steps: (1) setting a multi-modal evaluation environment, where the multi-modal evaluation environment is used to stimulate a tested object; and the multi-modal evaluation environment includes: a visual scene, a verbal communication scene, and an emotional communication scene; (2) collecting multi-modal evaluation information, where the evaluation information includes: intelligence information, behavioral data, and eye movement data of the tested object; and (3) performing statistical analysis, to obtain an emotion cognition capability of the tested object, where the performing statistical analysis includes: performing statistical analysis on the behavioral data, performing statistical analysis on the eye movement data, and performing statistical analysis on a combination of the behavioral data and the eye movement data.

Abstract: Disclosed is an ultrasonic wave generation device for hearing recovery treatment, including an ultrasonic wave generation part. The ultrasonic wave generation part comprises a reference time-delay determination module, an emission sequence parameter determination module and an ultrasonic transducer module. The ultrasonic transducer module is used for emitting actual ultrasonic waves, and the efficiency and precision are improved by focusing by means of a plurality of array elements.

Abstract: A dual-nuclear radio frequency (RF) coil device includes a first RF coil and a second RF coil. The first RF coil includes at least one adjustment capacitor, the first RF coil is configured to generate a first magnetic field, and a direction of a primary magnetic field of the first magnetic field is a first direction. The second RF coil includes an electric dipole and a tuning and matching circuit connected between two conductors of the electric dipole. The second RF coil is configured to generate a second magnetic field and a direction of a primary magnetic field of the second magnetic field is a second direction; the electric dipole is disposed in a center line of the first RF coil and an insulating layer is disposed between the electric dipole and the first RF coil; and the first direction is perpendicular to the second direction.

Abstract: A method for magnetic resonance imaging and plaque recognition includes: obtaining magnetic resonance undersampled K-space data; transforming the magnetic resonance undersampled K-space data to an image domain through inverse Fourier transform to obtain a preprocessed image; reconstructing the preprocessed image through a pre-established deep learning reconstruction model to obtain a high-resolution imaging image of a blood vessel wall; and recognizing plaques in the high-resolution imaging image of the blood vessel wall through a pre-established deep learning plaque recognition model. A neural network corresponding to the pre-established deep learning reconstruction model is a dense connection network. The magnetic resonance undersampled K-space data is head-and-neck combined magnetic resonance undersampled K-space data of the blood vessel wall.

Abstract: Disclosed is a three-branched six-degree-of-freedom parallel mechanism with curved sliding pairs, which includes a base, a moving platform, and three identical kinetic branches. The kinetic branches are radially and evenly distributed and arranged between the base and the moving platform. Each kinetic branch includes a first curved link assembly, a first motor, and a support link. One end of the support link is hinged to the moving platform. One end of the first curved link assembly is hinged to the support link. The first motor is disposed on the base and is configured for driving the first curved link assembly to rotate, where an arc length of the first curved link assembly is changed as the first curved link assembly is driven to rotate.

Abstract: Provided is a membrane for cell culture and differentiation. The membrane has a base portion and an array of protrusions consisting of a plurality of protrusions. The protrusions are substantially evenly distributed on the base portion. The plurality of protrusions has dimensions on the order of micrometers. In particular, the membrane consists of particles of different particle sizes of two or more kinds. One kind of particles have an average particle size of 1 ?m to 50 ?m. Two or more kinds of particles of different particle sizes include nanoscale particles, 10-900 nm. One kind of particles are selected from the group consisting of inorganic compound microspheres. The other kind of particles of the two or more kinds of particles of different particle sizes are selected from the group consisting of organic polymer nanospheres. Also provided is a method for maintaining, culturing and/or differentiating cells using such membrane.

Abstract: Through the use of a rhodamine appended chelate, a versatile strategy has been demonstrated to generate mitochondria-targeting photosensitizers via the incorporation of variety of luminescent transition metal systems. The generation of triplet excited state of rhodamine moiety endows the complexes with mitochondria-targeting photosensitizing ability to form singlet oxygen (1O2) for use as photodynamic therapy (PDT) agent. The combination of rhodamine organic dye and luminescent transition metal centers in such hybrid systems exhibits the synergistic merits, including low dark cytotoxicity, selective tumor cell uptake, high molar absorptivity for low-energy excitation in the visible region, and high photostability.

Abstract: The present disclosure relates to a 1D partial Fourier parallel magnetic resonance imaging method with a deep convolutional network and belongs to the technical field of magnetic resonance imaging.