Abstract: A data storage apparatus and method and a readable storage medium are provided. The data storage apparatus includes: a processor and a memory; the processor includes: a buffer scheduler, a plurality of transmission buffers, an interface buffer, and a memory controller; the buffer scheduler is configured to control the plurality of transmission buffers to write data, and read out the data and send the data to the interface buffer; the interface buffer is configured to receive data sent by the transmission buffers if a capacity of data stored in the interface buffer is less than a preset capacity threshold, and stop receiving data sent by the transmission buffers if the capacity of data stored in the interface buffer is greater than or equal to the preset capacity threshold; and the memory controller is configured to control the memory to write data from the interface buffer and store the data.

Abstract: The present application provides an apparatus, a method for data transmission and a readable storage medium, the apparatus includes a front-end processor, a transmission controller and a back-end processor. In the front-end processor, a DMA controller is respectively connected with the transmission controller, a memory controller, respective transmission buffers and a transmission scheduler. The DMA controller is configured to: receive a request for data transmission sent by the back-end processor, receive read data from the memory controller, and send it to the transmission buffers. The memory controller is configured to: control, according to a data reading instruction, the memory to read data, and send the read data to the DMA controller. The transmission scheduler is configured to: control multiple transmission buffers to write data sent by the DMA controller, and control the multiple transmission buffers to read data, and transmit, through the transmission controller, the data to the back-end processor.

Abstract: A method for quantifying viscoelasticity of a medium includes: obtaining a position-time graph of vibration propagation after the medium is subjected to a vibration excitation, determining an angle with maximum signal energy in the position-time graph by using angle projection, where the angle with the maximum signal energy corresponds to a slope of the position-time graph and the slope of the position-time graph is the propagation velocity of the vibration in the medium. Since the propagation velocity of the vibration in the medium is related to the viscoelasticity of the medium, a viscoelasticity parameter of the medium can be quantitatively calculated after the slope of the position-time graph is obtained. The method does not need to select a feature point from the position-time graph to calculate the slope of the position-time graph, and can efficiently and accurately quantifies viscoelasticity of the medium.

Abstract: An ultrasound imaging device, including: a processor (10), N ultrasound systems (20), a communication channel (30) and an ultrasonic probe (40); where N is a positive integer greater than 1; the processor (10) is configured to receive an ultrasound system setting instruction input by a user, so that a ultrasound system (20) of the N ultrasound systems (20) is in an enabled state; the ultrasound system (20) in the enabled state is configured to send a control instruction to the ultrasonic probe (40) via the communication channel (30); and the ultrasonic probe (40) is configured to cooperate with the ultrasound system (20) in the enabled state to operate according to the control instruction.

Abstract: A method for quantifying viscoelasticity of a medium includes: obtaining a position-time graph of vibration propagation after the medium is subjected to a vibration excitation, determining an angle with maximum signal energy in the position-time graph by using angle projection, where the angle with the maximum signal energy corresponds to a slope of the position-time graph and the slope of the position-time graph is the propagation velocity of the vibration in the medium. Since the propagation velocity of the vibration in the medium is related to the viscoelasticity of the medium, a viscoelasticity parameter of the medium can be quantitatively calculated after the slope of the position-time graph is obtained. The method does not need to select a feature point from the position-time graph to calculate the slope of the position-time graph, and can efficiently and accurately quantifies viscoelasticity of the medium.

Abstract: A method and device for detecting inflammation activity of a tissue. The method includes: determining whether there is a possibility for tissue inflammation; and when there is a possibility for tissue inflammation, determining the inflammation activity of a tissue according to tissue stiffness or a parameter reflecting tissue stiffness. The tissue stiffness or the parameter reflecting tissue stiffness can be detected by means of a non-invasive quantitative detection technique of tissue elastic modulus, avoiding defects caused by tissue biopsy, and can detect inflammation activity of a tissue non-invasively, continuously and accurately.

Abstract: Provided are a fiber bundle image processing method (200) and an apparatus. The method (200) includes: determining pixel information corresponding to a center position of a fiber in a sample image; correcting the determined pixel information; and reconstructing the sample image based on the corrected pixel information to obtain a reconstructed image. The method (200) and apparatus can not only obtain a more ideal fiber-bundle processed image, but also have a smaller calculation amount, and the entire calculation process takes less time.

Abstract: The present disclosure discloses a method and an apparatus for acquiring motion information. A frequency domain transformation is performed on a detection signal of a vibration propagating in a medium to obtain a frequency domain signal, then a signal that is outside of a defined vibration velocity range is removed from the frequency domain signal, that is, only a vibration signal is retained, and then a position-time diagram is obtained along a defined vibration propagation direction. It is not necessary to perform motion estimation on propagation of the vibration by a complicated calculation, and it is only necessary to determine the presence or absence of the vibration by processing in the frequency domain, and then the position-time diagram is obtained, which is a highly efficient method for acquiring motion information.

Abstract: Provided are an image reconstruction method, a device and a microscopic imaging device. The method includes calculating a gray value at each fiber center in a fiber bundle (04) in a reconstructed image according to a gray value at a center position of each fiber, determined in one or more sample images; performing a spatial interpolation using the gray value at the fiber center to obtain gray values of other pixel points in the fiber bundle (04) in the reconstructed image, so as to form the reconstructed image. This image reconstruction method greatly accelerates the speed of image reconstruction, and is helpful to remove the grating (022) and fiber bundle (04) cellular grid residues in the reconstructed image and improve the imaging quality of the reconstructed image.

Abstract: Disclosed are a tissue elasticity measurement method and device. The method includes: transmitting a first ultrasonic signal to a tissue in a measurement area; tracking at least one imaging line of the first ultrasonic signal; determining, according to the imaging line at a plurality of time points, a motion state of each imaging line; and selecting a position with an imaging line with a motion state meeting a preset condition and performing tissue elasticity measurement. The problem of impact on the motion state of the issue in a to-be-measured area on the accuracy of elasticity measurement is solved, and accuracy of elasticity measurement on the tissue in the measurement area is improved.

Abstract: Provided are method, apparatus and device for measuring a thickness of a subcutaneous tissue, and a computer-readable storage medium. The method includes: emitting ultrasonic detection waves inwards from a skin surface, and acquiring ultrasonic echo signals of the ultrasonic detection waves; determining, according to ultrasonic parameter values of the ultrasonic echo signals and a characteristic parameter threshold of a subcutaneous tissue, the moment the ultrasonic echo signals from the boundary of the subcutaneous tissue are received; and calculating a thickness of the subcutaneous tissue according to the moment the ultrasonic echo signals from the boundary of the subcutaneous tissue are received, thereby enabling a precise measure of the thickness of the subcutaneous tissue.

Abstract: Disclosed are a method and a device for elasticity detection. The method comprises: controlling an excitation device (2) to periodically excite N shear waves in a tissue at a preset time interval and controlling an ultrasonic transducer (3) to transmit ultrasonic waves (101) to the tissue, where the excitation device and the ultrasonic transducer are maintained in contact with a surface of the tissue; receiving, by the ultrasonic transducer (3), an ultrasonic echo signal (102) corresponding to each of the shear waves; acquiring a propagation characteristic parameter (103) of each of the shear waves according to the ultrasonic echo signal corresponding to each of the shear waves; calculating an elasticity parameter of the tissue (104) according to propagation characteristic parameters of the N shear waves and a tissue density of the tissue.

Abstract: A method for detecting biological signs based on an ultrasonic detection system includes: sending, by a second processing module, a detection instruction to a master processing module in a first processing module; generating, by the master processing module, a first synchronization signal based on the detection instruction, and sending the first synchronization signal to a synchronous distribution module, so as to make the synchronous distribution module send the first synchronization signal to the master processing module and a slave processing module in the first processing module, and enable the slave processing module and the master processing module to control array elements to which they are respectively connected to transmit an ultrasonic wave simultaneously based on the first synchronization signal and collect an echo signal; and processing, by the second processing module, the echo signal collected by each array element to obtain information about the biological signs of an organism.

Abstract: Disclosed are a method, apparatus and device for calculating signal attenuation, and a computer-readable storage medium. The method comprises: receiving (101) an ultrasound signal by an ultrasonic imaging system, performing (102) signal recovery operation on the ultrasound signal to obtain an ultrasound signal to be calculated; determining a type of the ultrasound signal to be calculated, and calculating (103) attenuation information of the ultrasound signal to be calculated by adopting a calculation mode corresponding to the type according to the type of the ultrasound signal to be calculated. As such, the signal attenuation calculation flow is simplified, thereby enabling use of commercial probes therein, bringing convenience in operation, and increasing applicability. Accuracy and efficiency of attenuation calculation can be improved by means of performing signal recovery on an obtained ultrasonic signal and then performing attenuation calculation thereon.

Abstract: Disclosed are a method, an apparatus and a device for locating a region of interest of a tissue, and a storage medium. The method comprising: acquiring ultrasonic echo signals from a detected region; identifying interfering regions and a region of interest in the detected region according to ultrasonic parameter values of the ultrasonic echo signals; judging whether the sizes of the interfering regions meet a preset condition or not; and if the sizes of the interfering regions meet the preset condition, removing interfering signals corresponding to the interfering regions from the ultrasonic echo signals. As such, the interfering signals may be removed while the interfering regions are small.

Abstract: An ultrasonic signal processing method and apparatus (30), a computer device (50) and a storage medium. The method includes: acquiring a target ultrasonic signal of a dynamic broadband corresponding to target tissue (101); determining, according to the target ultrasonic signal, an acoustic characteristic parameter of the target tissue (102); performing assessment processing to the target tissue according to the acoustic characteristic parameter of the target tissue (103). The acoustic characteristic parameter of the target tissue is determined according to the target ultrasonic signal of the dynamic broadband corresponding to the target tissue, and the assessment is performed to the target tissue based on the acoustic characteristic parameter of the target tissue, and ultrasonic signals of the target tissue at multiple frequencies are comprehensively considered, so that signal components are varied, thereby improving accuracy of the assessment to the target tissue.

Abstract: A data processing method and apparatus, a device and a storage medium, where the method includes: obtaining first target result data according to an original ultrasonic echo signal, where the first target result data includes a related parameter of a detected object; performing feature extraction on the first target result data using a pre-trained feature extraction model to obtain second target result data; and performing corresponding processing on the detected object based on the second target result data. By performing feature extraction on the related parameter of the detected object using the pre-trained feature extraction model to obtain the second target result data, and further performing corresponding processing on the detected object based on the second target result data, thereby improving accuracy of judging the state of the detected object effectively.

Abstract: A detection mode control circuit, including a morphological detection module (100) connected to a morphological detection probe (500), where the morphological detection module (100) is configured to generate a morphological detection control signal according to a user instruction or a system setting; further including an elasticity detection module (200) connected to a switch module (300) and configured to generate an elasticity detection control signal and a second control signal according to the user instruction or the system setting; where the switch module (300) is connected to a compound probe (600) and configured to receive the morphological detection control signal, the elasticity detection control signal and the second control signal, and control the compound probe (600) to perform morphological detection according to the second control signal or control the compound probe (600) to perform elasticity detection according to the second control signal.

Abstract: Provided is a device for elasticity detection, comprising a processor (1), an imaging device (2), an ultrasonic transducer (3) and a puncturing device (4). The ultrasonic transducer (3) is connected to the processor (1) and is configured to detect and obtain morphology characteristic information and elasticity characteristic information of a tissue. The imaging device (2) is connected to the processor (1) and is configured to obtain a morphology image and an elasticity image of the tissue according to the morphology characteristic information and the elasticity characteristic information, respectively, under the control of the processor (1), and merge and display the elasticity image in the morphology image. The puncturing device (4) is connected to the processor (1) and is configured to determine a puncture position according to guidance of the merged image and perform a puncturing and sampling on the tissue.

Abstract: The present application provides an apparatus, a method for data transmission and a readable storage medium, the apparatus includes a front-end processor, a transmission controller and a back-end processor. In the front-end processor, a DMA controller is respectively connected with the transmission controller, a memory controller, respective transmission buffers and a transmission scheduler. The DMA controller is configured to: receive a request for data transmission sent by the back-end processor, receive read data from the memory controller, and send it to the transmission buffers. The memory controller is configured to: control, according to a data reading instruction, the memory to read data, and send the read data to the DMA controller. The transmission scheduler is configured to: control multiple transmission buffers to write data sent by the DMA controller, and control the multiple transmission buffers to read data, and transmit, through the transmission controller, the data to the back-end processor.