Abstract: A multi-row ultrasonic imaging apparatus and an ultrasonic imaging instrument are disclosed. The multi-row ultrasonic imaging apparatus includes a housing, and a first ultrasonic transducer, a second ultrasonic transducer, and an adjustment mechanism that are installed in the housing. Ultrasonic waves emitted by the first ultrasonic transducer and the second ultrasonic transducer can intersect to form a confocal point. At least one of the first ultrasonic transducer and the second ultrasonic transducer is connected to the adjustment mechanism to move relative to the housing under the action of the adjustment mechanism, so as to adjust the position of the confocal point.

Abstract: A magnetic resonance imaging method includes: obtaining three-dimensional under-sampling data of a target object based on a first three-dimensional magnetic resonance imaging sequence; obtaining a three-dimensional point spread function based on the three-dimensional under-sampling data or a two-dimensional mapping data of the target object; obtaining a sensitivity map of the target object based on the data collected by three-dimensional low-resolution complete sampling; performing imaging reconstruction to the three-dimensional under-sampling data based on the three-dimensional point spread function and the sensitivity map to obtain a reconstructed magnetic resonance image. The first three-dimensional magnetic resonance imaging sequence has a first sinusoidal gradient field on a phase direction and a second sinusoidal gradient field on a layer selection direction. 0-order moments of the first and the second three-dimensional magnetic resonance imaging sequences are 0.

Abstract: An apriori guidance network for multitask medical image synthesis is provided. The apriori guidance network includes a generator and a discriminator, wherein the generator includes an apriori guidance module configured to convert an input feature map into a target modal image pointing to a target domain according to an apriori feature, and the apriori feature is a deep feature of the target modal image. The generator is configured to generate a corresponding target domain image by taking the apriori feature of the target modal image and source modal image data as an input. The discriminator is configured to discriminate an authenticity of the target domain image outputted by the generator.

Abstract: An image data quality evaluation method and apparatus, a terminal device, and a readable storage medium. The image data quality evaluation method includes: inputting three-dimensional image data to be evaluated into a feature extraction network model for processing to obtain a feature matrix; processing the feature matrix on the basis of a plurality, of branch network models in a hypemetwork model to obtain a plurality of parameter matrixes, and respectively adjusting, on the basis of the plurality of parameter matrixes, parameters of a plurality of fully connected layers in a corresponding regression model; and processing the feature matrix on the basis of the adjusted regression model to obtain a quality evaluation score. The dynamic adjustment of parameters of a model is implemented on the basis of content of input data, so that the processing efficiency and the quality evaluation precision for three-dimensional image data are improved.

Abstract: A low-dose PET image restoration method and system, a device, and a medium are provided. The method includes: S1, performing blocking processing on a training image comprising a low-dose PET image, an MR image, and a standard-dose PET image to obtain a first patch, and performing first preprocessing on the first patch to obtain a second patch; S2, obtaining, according to the second patch, a first joint dictionary by means of sparse coding and dictionary updating; and S3, restoring the low-dose PET image to a restored image of the standard-dose PET image according to the first joint dictionary.

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 invention discloses a real-time ultrasonic stimulation electric signal recording chip and a preparation method thereof, where the preparation method includes the following steps: S1 manufacturing an interdigital electrode on a piezoelectric substrate to obtain a surface acoustic wave chip, and manufacturing a recording electrode and an electrode lead; S2, manufacturing an insulation protection layer on the chip obtained in the S1, and processing the insulation protection layer to form the recording electrode, so as to obtain a chip combining the interdigital electrode and the recording electrode; S3, preparing a PDMS cavity; and S4, bonding the PDMS cavity prepared in the S3 and the chip obtained in the S2. In the present invention, combining the interdigital electrode generating a surface acoustic wave ultrasound with a multi-channel recording electrode, such that real-time recording of a multi-channel electric signal under ultrasonic stimulation is achieved.

Abstract: The present application provides an ultrasonic wake-up system. The system includes an ultrasonic imaging device, an ultrasound stimulation device, and an ultrasound stimulation effect evaluation device, and acquires an ultrasonic image of a target object through the ultrasonic imaging device, transmits an ultrasound to the target object based on the ultrasonic image through the ultrasound stimulation device, and adjusts the transmitted ultrasound required through the ultrasound stimulation effect evaluation device. Therefore, peripheral nerves are accurately stimulated, an uplink reticular wake-up system is activated, so as to wake up patients with disorders of consciousness.

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: The present application relates to a method and system for generating multi-task learning-type generative adversarial network for low-dose PET reconstruction, and relates to the field of deep learning. The method includes connecting layers of the encoder with layers of the decoder by skip connection to provide a U-Net type picture generator; generating a group of generative adversarial networks by matching a plurality of picture generators with a plurality of discriminators in one-to-one manner; obtaining a first multi-task learning-type generative adversarial network; designing a joint loss function 1 for improving image quality; and training the first multi-task learning-type generative adversarial network according to the joint loss function 1 in combination with an optimizer to provide a second multi-task learning-type generative adversarial network.

Abstract: A flexible radiofrequency receiving coil array. The flexible radiofrequency receiving coil array is provided on a flexible panel and comprises several rows of coil units. Adjacent two rows of coil units in the several rows of coil units are alternately arranged. Preamplifiers are provided in the coil units. In the flexible radiofrequency receiving coil array, two preamplifiers in adjacent two coil units are provided on a same preamplifier mounting plate on the flexible panel, where multiple preamplifier mounting plates are provided on the flexible panel, and the preamplifier mounting plates of different columns and rows are linearly arranged. The flexible radiofrequency receiving coil array effectively reduces the distribution density of the preamplifiers, ensures the flexibility and maximum degree of distension of the coil array, and improves the fit of the coil array to the human body, thus increasing image signal-to-noise ration and image quality.

Abstract: The present application disclosed a magnetic levitation system, and the magnetic levitation system includes a stator, a rotor, and a magnetic coupling mechanism; the stator includes a stator winding mechanism for controlling the rotor to move away from or close to the axis direction of the stator. The magnetic coupling mechanism includes magnetic sources, and the magnetic coupling mechanism is magnetically coupled with the rotor through the magnetic sources to drive the rotor to rotate around the axis direction of the stator. The magnetic levitation system decouples the magnetic circuit that drives the rotor to move from the magnetic circuit that drives the rotor to rotate, so as to reduce control difficulty, enhance stability, and reduce torque fluctuations.

Abstract: Provided is a conscious animal ultrasonic neural regulation device, including a pulse signal generation module, a transducer module and a fixing module. The pulse signal generation module is configured to generate a pulse signal with high energy. The ultrasonic transducer module is configured to convert the pulse signal into an ultrasound. The fixing module includes an upper fixing module and a lower fixing module. The upper fixing module is configured to fix the ultrasonic transducer module, and the lower fixing module is configured to be fixed on an animal neural regulation target point. The upper fixing module and the lower fixing module are connected by a connecting component. The conscious animal neural regulation device of the present disclosure can perform accurate ultrasonic stimulation on a cerebral cortex and subcortex of the animal, thereby exploring and verifying the stimulation effect of the ultrasound on the animal, which is easy in operation and convenient in use.

Abstract: Disclosed are information transmission method, apparatus, device and medium for medical imaging application. The method includes: an imaging device corresponding to an application authorization request is determined according to the received application authorization request, and an application permission profile of the imaging device is acquired; and a medical imaging application corresponding to the imaging device is determined according to the application permission profile of the imaging device, and medical imaging application information corresponding to the medical imaging application is transmitted to the imaging device.

Abstract: Provided is a quad-core radio-frequency coil circuit. The quad-core radio-frequency coil circuit includes a coil module (1) and a front-end module (2). The coil module (1) is configured to receive a nuclear magnetic test signal and, according to the nuclear magnetic test signal, generate an induction signal. The front-end module (2) is connected to the coil module (1) and configured to generate the nuclear magnetic test signal and collect the induction signal.

Abstract: A method, device, terminal, and storage medium for reusing parameters of a deep learning model are disclosed, the method including: training a target model with a preset training set; obtaining a pre-trained original model; obtaining correspondences between layers of the target model and the original model having identical network structures, and parameter correspondences between corresponding layers; extracting multiple original model parameters from layers of the original model each having an identical network structure with respective layer of the target model; based on the parameter correspondences, replacing the corresponding parameters of the target model one by one with the original model parameters, validating the replaced target model with the preset validation set, and when the validation is passed, recording that the corresponding original model parameter is reusable; and using all reusable original model parameters to replace the corresponding parameters in the target model to obtain and train a n

Abstract: Provided are a parallel magnetic resonance imaging method and apparatus based on adaptive joint sparse codes and a computer-readable medium. The method includes solving an l2?lF?l2,1 minimization objective, where the l2 norm is a data fitting term, the lF norm is a sparse representation error, and the l2,1 mixed norm is the joint sparsity constraining across multiple channels; separately updating each of a sparse matrix, a dictionary and K-space data with a corresponding algorithm, and obtaining a reconstructed image by a sum of root mean squares of all the channels. The joint sparsity of the channels is developed using the norm l2,1. In this manner, calibration is not required while information sparsity is developed. Moreover, the method is robust.

Abstract: A shimming method and device, an electronic device, and a storage medium are disclosed. The shimming method includes: obtaining object static magnetic field distribution information corresponding to a target object, the object static magnetic field distribution information including the static magnetic field distribution information of the target object under the action of a main magnet of a magnetic resonance system; determining a target static magnetic field based on the object static magnetic field distribution information and a preset shim coil magnetic field distribution model; and adjusting at least one shim coil parameter in the shim coil magnetic field distribution model until a magnetic field uniformity of the target static magnetic field satisfies a preset condition, and accordingly obtaining at least one target shim coil parameter.

Abstract: A biological sample sorting method, a surface acoustic wave microfluidic chip, a system, a terminal, and a storage medium are disclosed. The method includes: injecting a mixed solution containing biological samples into a surface acoustic wave microfluidic chip, and applying a first sinusoidal signal thereto forming a standing wave sound field therein to aggregate the biological samples; collecting images of the aggregated biological samples; performing moving target identification and tracking on the images of the biological samples using a deep learning model, performing cluster analysis and classification on a tracked moving target to obtain a target sample, and generating a delay enabling signal of the target sample according to a moving speed of the target sample; and applying a second sinusoidal signal to the surface acoustic wave microfluidic chip according to the delay enable signal to move the target sample thus sorting out the target sample.

Abstract: A planar lens (100) and a manufacturing method for a planar lens (100) relate to the technical field of lenses, the planar lens (100) being a focusing lens and comprising an acoustic soft material tangible structure (110) and a cover layer (120), the acoustic soft material tangible structure (110) comprises a plurality of combination lenses (130) located in the same plane, each combination lens (130) comprises a circular part (131) and a plurality of concentric annular parts (132) which are continuously arranged around the circular part (131), the thicknesses of each two adjacent annular parts (132) in each combination lens (130) are different, and the thickness of each annular part (132) is related to the focal length of the respective combination lens (130); and the cover layer (120) covers the outer surface of the acoustic soft material tangible structure (110) to form the planar lens (100).