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: 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: 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: 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: 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: A usage control method for a medical detection device, a system and a medical detection device. The method includes: receiving, by the medical detection device, an operation instruction inputted by an operator, and prompting the operator to input an authorization file when the operation instruction instructs to perform configuration authorization; receiving an authorization file inputted by the operator, and displaying an operation interface corresponding to the operation instruction when the authorization file passes authentication; where the authorization file is generated by a dongle inserted into the medical detection device according to the number of available times and the device identification; executing, by the medical detection device, configuration content inputted by the operator on the operation interface.

Abstract: Provided are an ultrasonic device and a device for generating mechanical vibration. The ultrasonic device includes an ultrasonic probe and the device for generating mechanical vibration, where the device for generating mechanical vibration includes a vibration generator (1), a damping component (2), and a pressure component (3); the damping component (2) is fixed between the vibration generator (1) and the pressure component (3); the ultrasonic probe is connected to the pressure component (3); and the vibration generator (1) is configured to generate a vibration when a pressure value detected by the pressure component (3) falls into a preset range.

Abstract: A method and a device for selecting a detection area and an elasticity detection system. The method comprises: dividing organ tissue information to be recognized into a plurality of detection sub-areas, and calculating a feature value of the organ tissue information in the detection sub-area; determining an organ tissue boundary area according to the organ tissue information to be recognized; and determining an organ tissue boundary area according to the organ tissue boundary area and a preset feature value condition. The method can determine the organ tissue boundary according to the organ tissue information, and automatically adjust the detection area according to the organ tissue boundary.

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: A method and device for detecting tissue fibrosis. The method includes: determining whether there is a possibility for tissue inflammation; and when there is a possibility for tissue inflammation, monitoring tissue stiffness or a parameter reflecting tissue stiffness during a treatment of the tissue inflammation to determine whether the tissue inflammation has been eliminated; when the tissue inflammation has been eliminated or there is no possibility for tissue inflammation, obtaining a degree of tissue fibrosis or information related to the degree of tissue fibrosis according to tissue stiffness or a parameter reflecting tissue stiffness. The embodiments enable the tracking of the tissue stiffness during the treatment of tissue inflammation to determine whether tissue inflammation has been eliminated or not, and since tissue stiffness can be detected by a non-invasive quantitative detection technique of tissue elastic modulus, avoiding defects caused by tissue biopsy.

Abstract: The present disclosure relates to the technical field of medical image processing and, in particular, to a liver boundary identification method and a system. The method includes: obtaining liver tissue information of a liver tissue to be identified; identifying a liver tissue boundary in the liver tissue information according to a feature of the liver tissue corresponding to the liver tissue information and a feature of the liver tissue boundary corresponding to the liver tissue information using an image processing technology or a signal processing technology; and outputting position information of the identified liver tissue boundary. By using the disclosed method, the liver tissue boundary can be identified automatically, the efficiency of identifying the liver boundary can be improved, and automatic positioning of the liver boundary can thus be achieved.

Abstract: The invention provides a method and system for health condition analysis based on an elasticity detection device. The method includes: sending, by a client, a health condition analysis request to a cloud server, where the health condition analysis request includes individual attribute identification information of a querier; acquiring, by the cloud server, to-be-analyzed data corresponding to the health condition analysis request from a cloud database storing displacement data of each querier, and conducting data analysis on the to-be-analyzed data to obtain health condition information of the querier; and receiving, by the client, the health condition information of the querier sent by the cloud server. Therefore, by virtue of mass displacement data of mass queriers stored in the cloud server, the querier can conveniently learn his/her health condition in time through the client.

Abstract: A method and a device for nondestructively detecting an elasticity of a viscoelastic medium are provided. The method includes: acquiring with an ultrasonic imaging probe an ultrasonic image of the viscoelastic medium; determining an area to detect the elasticity of the viscoelastic medium according to the ultrasonic image; driving the ultrasonic transducer probe with a low-frequency vibration by a vibrator so as to produce an elastic wave in the viscoelastic medium; producing an ultrasonic wave by the ultrasonic transducer probe, and transmitting the ultrasonic wave to the viscoelastic medium; collecting an ultrasonic echo; calculating an elastic parameter of the viscoelastic medium according to the collected ultrasonic echo.

Abstract: Provided is a method for data analysis and processing of an elasticity detection device, and an elasticity detection device. The method includes: transmitting, by each elasticity detection device, a detection result to a cloud server if a communication connection between the elasticity detection device and the cloud server is determined to be normal so that the cloud server can store the detection result in a database. The elasticity detection device transmits a data analysis request to the cloud server, and the cloud server obtains from the database data to be analyzed corresponding to an analysis keyword, analyzes the data to be analyzed to obtain an analysis result, and transmits the analysis result to the elasticity detection device. Thus, the elasticity detection device can obtain a comprehensive and accurate analysis result for different analysis requirements by means of storage and analysis capability of the cloud server on massive detection results.

Abstract: A method and a device for nondestructively detecting an elasticity of a viscoelastic medium are provided. The method includes: detecting a pressure applied to the viscoelastic medium by an ultrasonic transducer probe; in response to the pressure satisfying a predetermined condition, triggering detecting the elasticity of the viscoelastic medium; driving the ultrasonic transducer probe with a low-frequency vibration by a vibrator so as to produce an elastic wave in the viscoelastic medium; producing an ultrasonic wave by the ultrasonic transducer probe, and transmitting the ultrasonic wave to the viscoelastic medium; collecting an ultrasonic echo; calculating an elastic parameter of the viscoelastic medium according to the collected ultrasonic echo.

Abstract: Disclosed is a method and device for detecting a viscoelastic parameter of a viscoelastic medium. The method comprises: applying a mechanical vibration at a single predetermined frequency to the viscoelastic medium to generate a shear wave in the viscoelastic medium (101); emitting ultrasonic waves to the viscoelastic medium, and receiving ultrasonic echo signals (102); acquiring maximum displacement data of the shear wave at various depths according to the ultrasonic echo signals (103), each of the maximum displacement data representing a maximum oscillation amplitude of the shear wave when the shear wave propagates to different depths in the viscoelastic medium; fitting each of the maximum displacement data to obtain a maximum displacement attenuation curve (104); and determining the viscoelastic parameter of the viscoelastic medium according to the maximum displacement attenuation curve (105). The method and device can provide a more accurate measurement result of tissue fibrosis.

Abstract: The present invention relates to the technical field of medical image processing and, in particular, to a liver boundary identification method and a system. The method includes: obtaining liver tissue information of a liver tissue to be identified; identifying a liver tissue boundary in the liver tissue information according to a feature of the liver tissue corresponding to the liver tissue information and a feature of the liver tissue boundary corresponding to the liver tissue information using an image processing technology or a signal processing technology; and outputting position information of the identified liver tissue boundary. By using the disclosed method, the liver tissue boundary can be identified automatically, the efficiency of identifying the liver boundary can be improved, and automatic positioning of the liver boundary can thus be achieved.