CN211484558U - High-performance human tissue blood flow detection and analysis device - Google Patents
High-performance human tissue blood flow detection and analysis device Download PDFInfo
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Abstract
The utility model discloses a high performance human tissue blood flow detection and analysis device, include laser and control circuit subsystem, wait to examine tissue, laser speckle processing subsystem, central control subsystem, the output laser of laser and control circuit subsystem acts on wait to examine the tissue and produce the speckle image, the speckle image input the input of laser speckle processing subsystem, the input/output end of laser speckle processing subsystem with the input/output end cooperation hookup of central control subsystem. The utility model discloses a high-speed commercial CMOS imaging device realizes image rate level imaging speed, becomes the reality with the application of the medical field of real-time observation blood flow change to provide the possibility of using with the endoscope cooperation, provide the diagnosis foundation in the aspect of the blood flow for minimal access surgery, esophagus intestinal inflammation class disease etc..
Description
Technical Field
The invention provides a high-performance human tissue blood flow detection and analysis device, relates to laser imaging detection equipment for human tissue blood flow perfusion, and belongs to the technical field of high-end medical image diagnosis equipment in medical instruments.
Background
There are many methods for detecting blood perfusion in the surface tissue of a human organ. Such as fluorescence, isotope, tracer, infrared, ultrasound, and laser imaging, among others, are common. The current advanced and widely used detection method is a laser imaging detection technology. The laser blood perfusion imaging technology has the advantages of no damage, capability of continuously measuring the blood perfusion amount of the tissue microvasculature, wide application range, simple and convenient operation and the like. Therefore, the technology is widely applied to diagnosis of diseases in clinical medical departments, evaluation of lesion injuries and research of medical biology, such as treatment evaluation of skin tumor, clinical evaluation of burn degree, clinical evaluation of cardiovascular treatment, treatment evaluation of rheumatism, clinical evaluation in surgical operation and the like.
Currently, suppliers of laser perfusion laser imagers in the world include swedish patrix (Perimcd), Moor instruments (Moor instruments), american gold (Transonic), and australian elder instruments (ADIstruments). The current latest products can measure not only the tissue blood flow velocity, but also blood oxygen saturation of tissues and other series of blood flow parameters with medical research value, and can replace corresponding probes for different tissues to measure blood flow.
Domestic research aiming at the laser Doppler perfusion technology mainly focuses on detection principles and methods, such as: patent CN101485565A discloses a laser speckle blood flow imaging analysis method, patent CN102357033A discloses a laser speckle blood flow imaging processing system and method, patent CN102429650A discloses a laser speckle blood flow imaging contrast analysis method, patent CN2019101198258 discloses a skin blood flow perfusion quantity measurement method combining ultrasonic Doppler fluid velocity measurement and laser speckle two-dimensional flow rate real-time monitoring, and patent CN205514579U discloses a quantitative imaging device for laser speckle blood flow velocity. Patent cn201520748353.x discloses a human body microcirculation blood perfusion detector, which is only suitable for monitoring blood microcirculation at the positions of fingers and toes with small body surface area due to the adoption of a photodiode as a detector.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provide a low-cost, portable and high-performance laser perfusion imaging device, and the invention adopts a high-speed commercial CMOS imaging device to realize the imaging speed of image rate level, realizes the application of the medical field (such as anaphylactic reaction, Raynaud syndrome and the like) for observing the blood flow change in real time, provides the possibility of being matched with an endoscope for use and provides the diagnosis basis in the aspect of blood flow for minimally invasive surgery, esophageal and intestinal inflammatory diseases and the like.
The invention adopts the following technical scheme: the utility model provides a high performance human tissue blood flow detection analytical equipment, its characterized in that, includes laser and control circuit subsystem, waits to examine tissue, laser speckle processing subsystem, central control subsystem, the output laser of laser and control circuit subsystem acts on wait to examine the tissue and produce the speckle image, the speckle image input the input of laser speckle processing subsystem, the input/output end of laser speckle processing subsystem with the input/output end cooperation hookup of central control subsystem.
As a preferred embodiment, the laser and control circuit subsystem includes a laser control circuit PCB, an infrared laser diode, a red laser diode, a first light homogenizing sheet and a second light homogenizing sheet, wherein an output end of the laser control circuit PCB is respectively connected to an input end of the infrared laser diode and an input end of the red laser diode in a matching manner, an output end of the infrared laser diode is connected to the first light homogenizing sheet in a matching manner, and an output end of the red laser diode is connected to the second light homogenizing sheet in a matching manner.
As a preferred embodiment, laser emitted by the laser diode is converted into laser beams uniformly distributed in a certain area through the light diffuser, the laser beams are guided out of the device by the light splitter, and are irradiated on an area on human tissue, then laser speckles reflected or scattered back by static substances, blood cells and the like in the human tissue reach the camera sensor array through the optical lens group, are converted into digital electronic signals, and then are generated into blood perfusion images through the signal processing circuit on the FPGA chip, and the blood perfusion images are displayed on the LCD display or the PC device.
In a preferred embodiment, the infrared laser diode is used for emitting infrared laser with the wavelength of 785nm as blood perfusion detection laser; the red laser diode is used for emitting red laser with the wavelength of 650nm as detection area identification laser; when the infrared laser emitted by the infrared laser diode is emitted through the first light homogenizing sheet and irradiates a detection part, a light spot forms a rectangular area of 20cmx 15 cm; when the red laser emitted by the red laser diode is emitted through the second dodging sheet and irradiates a detection part, a light spot forms a rectangular area with the size of 20cmx 15 cm.
As a better embodiment, the central control subsystem comprises a main control PCB, an image sensor PCB, a TFT touch screen, and a switch control button, the main control PCB is in communication connection with the image sensor PCB, the TFT touch screen, and the switch control button, respectively, and the switch control button is a power switch installed on the surface of the housing for starting and shutting down.
As a preferred embodiment, the main control PCB adopts an STM32F746 microcontroller, the STM32F746 microcontroller comprises a DCMI interface, a TFT interface and a GPIO interface, the STM32F746 microcontroller is in communication connection with the color image sensor PCB through the DCMI interface, the STM32F746 microcontroller is in communication connection with the TFT touch screen through the TFT interface, and the STM32F746 microcontroller is in communication connection with the switch control buttons through the GPIO interface.
As a preferred embodiment, the laser speckle processing subsystem includes a speckle processing core board, a speckle processing motherboard, a speckle camera daughter board, and an SSD hard disk, wherein an input/output end of the speckle processing core board is connected with an input/output end of the speckle processing motherboard in a communication manner, an input/output end of the speckle camera daughter board is connected with an input/output end of the speckle processing motherboard in a communication manner, and an input/output end of the SSD hard disk is connected with an input/output end of the speckle processing motherboard in a communication manner.
As a preferred embodiment, the speckle camera daughter board comprises a CMOS image sensor for collecting laser speckle images, and the CMOS image sensor is connected with the speckle processing motherboard in a communication manner; the CMOS image sensor adopts a Sony IMX174 image chip.
As a preferred embodiment, the speckle processing core board adopts a Zynq XCZU9EG chip, the Zynq XCZU9EG chip includes a quad-core ARM Cortex-a53 application microprocessor, a dual-core ARM Cortex-R5 real-time processor, and an FPGA chip, the Cortex-R5 real-time processor is in communication connection with the FPGA chip, the FPGA chip is in communication connection with an external PC device by connecting a Cypress USB3 output circuit chip, and the Cortex-a53 application microprocessor is embedded in a Linux operating system as a hardware carrier for running an application software system.
In a preferred embodiment, the speckle processing motherboard comprises a SATA hard disk interface, a Display Port image Display interface, an ethernet interface, a USB2.0 interface, a USB3.0 interface, and a UART interface, and the interface on the speckle processing motherboard and the Cortex-a53 application microprocessor form an application computer system for running LPI user interface software.
In a preferred embodiment, the LPI user interface software is an application software system running on a PC device for displaying the laser speckle images generated by the speckle processing circuit, and provides an operation interface for a user to control the operation of the device via a mouse/keyboard.
The invention achieves the following beneficial effects: firstly, the invention has the advantages that the high-performance human tissue blood flow detection and analysis device can conveniently, quickly, low-cost and harmlessly detect the blood flow change of human tissue; secondly, the invention has the advantages that the high-performance human tissue blood flow detection and analysis device has the human tissue speckle image acquisition, storage, transmission and processing capabilities of up to 160 frames/second, can work at an image rate level, and helps doctors to diagnose quickly and accurately; thirdly, the present invention provides a high-performance device for detecting and analyzing blood flow in human tissue, which is mainly applied to the medical field of real-time observation of blood flow changes (such as allergic reaction, raynaud syndrome, etc.), and provides the possibility of being used with an endoscope, and provides a diagnostic basis for blood flow in minimally invasive surgery, and esophageal and intestinal inflammatory diseases.
Drawings
Fig. 1 is an overall block diagram of a high-performance human tissue blood flow detection and analysis apparatus according to the present invention.
Fig. 2 is a schematic diagram of the working principle of the high-performance human tissue blood flow detection and analysis device of the invention.
Fig. 3 is a schematic connection diagram of a first embodiment of a high-performance human tissue blood flow detection and analysis apparatus according to the present invention.
FIG. 4 is a schematic diagram of the connection of the laser and control circuit subsystem of the high-performance human tissue blood flow detection and analysis apparatus of the present invention.
Fig. 5 is a connection schematic diagram of a central control subsystem of a high-performance human tissue blood flow detection and analysis device of the invention.
Fig. 6 is a schematic connection diagram of a first embodiment of a laser speckle processing subsystem of a high-performance human tissue blood flow detection and analysis device according to the present invention.
FIG. 7 is a schematic diagram of the connection of the laser and control circuit subsystem of the high performance apparatus for detecting and analyzing blood flow in human tissue according to the present invention.
Fig. 8 is a schematic connection diagram of a second embodiment of the high-performance human tissue blood flow detection and analysis apparatus according to the present invention.
Fig. 9 is a schematic connection diagram of a second embodiment of the laser speckle processing subsystem of the high-performance human tissue blood flow detection and analysis device according to the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The first embodiment is as follows:
the invention discloses a high-performance human tissue blood flow detection and analysis device. As shown in fig. 1, the device is divided into two parts: a front end unit and a back end unit. The front end unit mainly has the functions of a laser emission and speckle image shooting processing unit. The back end unit is mainly a user interface unit.
The back end unit is a common high-definition LCD display and a PC device. Running on the PC device is LPI application software that essentially provides a user interface that allows a user to issue commands to control the operation of the front-end unit and to view the perfusion images taken by the front-end unit.
The front-end unit mainly comprises a central control subsystem, a laser speckle processing subsystem and a laser and control circuit subsystem. As shown in fig. 2.
The working principle of the front-end unit is as follows: laser emitted by the laser diode is converted into laser beams which are uniformly distributed in a certain area through the light diffuser, and the laser beams are guided out of the device by the light splitter and irradiate on a region on human tissue. The laser reflected or scattered by static substances, blood cells and the like in the tissue reaches the camera sensor array through the optical lens group, is converted into digital electronic signals, and then generates a blood perfusion image through a signal processing circuit on an FPGA (field programmable gate array) to be displayed on an LCD (liquid crystal display). As shown in fig. 3.
The laser and control system comprises a laser control circuit PCB, an infrared laser diode, a red laser diode, a first light homogenizing sheet and a second light homogenizing sheet. The configuration is shown in fig. 4. The infrared laser diode can emit infrared laser with the wavelength of 785nm as blood perfusion detection laser, the power of the infrared laser diode is 80mW, and the infrared laser diode belongs to the laser safety level 3 b. The red laser diode is capable of emitting red laser light (wavelength 650nm) of 5mW as detection region identification laser light. When the infrared laser and the red laser are respectively emitted through a light homogenizing sheet (Diffuser) and irradiated to a detection part, a light spot forms a rectangular area of 20cmx 15 cm. The laser light is of safety class 1 when emitted from the device and does not cause any damage to eyes, skin and other human tissues.
The central control subsystem comprises a main control PCB, a common color image sensor PCB, a TFT touch screen and a switch control button. As shown in fig. 5. The main control PCB is designed around STM32F746G Discovery circuit board and has DCMI, TFT and GPIO interfaces.
The STM32F46 is an ARM Coretext-M7 Microcontroller (MCU), can work at 233MHz, is integrated with an L1 cache, a 1 Mbyte flash memory and a 240 Kbyte RAM, is internally provided with a DSP (including an FPU) unit and a chroma-ART image processing accelerator, and provides interfaces such as a DCMI (digital camera interface) and a TFT (thin film transistor).
STM32F4DIS-CAM image sensor board is selected as the common image sensor PCB, and the common image sensor PCB is provided with a digital camera module with 1.3M pixels (1280x 1024@15 fps). The module integrates an OminiVision OV9655 image sensor and provides a DCMI interface, the TFT touch screen adopts RK043FN48H-CT672B produced by ROCKECH, belongs to capacitive type LCD-TFT color display, and has the screen size of 4.3 inches and the resolution of 480x 272. The switch control button is a power switch which is arranged on the surface of the shell and used for starting and stopping.
The embedded software refers to panel control embedded software, is operated in an STM32F746 MCU to realize interaction with a PC, and controls the startup and shutdown of a system, the display of the system state, the acquisition of images of a common camera and the like.
The laser speckle processing subsystem comprises a speckle processing core board, a speckle processing mother board, a speckle camera daughter board, an SSD hard disk and the like. As shown in fig. 6. The speckle image camera sub-board is mainly used for placing a CMOS image sensor for collecting laser speckle images and a Sony IMX174 image chip. The chip adopts the technical parameters as shown in the table 1:
TABLE 1 laser speckle image sensor
| Resolution ratio | 1920x1200 |
| Size of pixel | 5.86 μm square |
| Frame rate | 160 frames/s |
| ADC | 10bit or 12bit |
And the data and control interface on the IMX174 image chip is connected to the speckle processing motherboard through a wire and then connected to the FPGA chip through a data interface on the motherboard.
The speckle processing core board adopts a TE0808-04 PCB module. The central component on the board is a high-end Zynq UltraScale + EG MPSoC chip from Xilinx, usa. As shown in fig. 7, the chip includes the following main components: the quad-core ARM Cortex-A53 applies a microprocessor, and the highest constant frequency is 1.5 GHz; a dual-core ARM Cortex-R5 real-time processor with the highest constant frequency of 600 MHz; a GPU; computer peripheral circuitry; and (5) FPGA.
The Cortex-A53 microprocessor is embedded with a Linux operating system, and an application software system can run on the hardware. The main speckle data processing function is realized on the FPGA. An embedded application will run on the Cortex-R5 processor and is primarily responsible for interacting with the panel control subsystem, such as receiving control commands, returning device status, etc. The system is also responsible for parameter configuration and function control of a high-speed processing unit on the FPGA, operation control of laser and the like.
The laser speckle data processing circuit is characterized in that: high speed, parallel computing capability provided by the FPGA chip and the capability of flexibly updating the algorithm. Wherein the data processing circuit is composed of a plurality of processing channels and works at an extremely high rate in parallel. The data processing circuit needs a large amount of memory space to store operation data, and the memory units in the FPGA chip are insufficient, so that the high-speed memory units are arranged on the circuit board to be used by the data operation circuit. The data processing circuit will be implemented in a hardware circuit description language. Fig. 7 shows a data/control signal flow diagram for the speckle processing circuit.
The data of original speckle images collected by the speckle camera daughter board are transmitted into the FPGA for processing, and the generated speckle images are transmitted to the PC through the Cypress USB3 output circuit chip. The data processing circuitry on the FPGA is implemented using VHDL.
The speckle processing circuit motherboard not only connects the speckle camera daughter board, the speckle processing core board and the panel control subsystem together, but also provides interfaces such as a SATA hard disk interface, a DisplayPort image display interface, an Ethernet interface, a USB2.0, a USB3.0, a UART and the like which are commonly used on a PC, and the interfaces and a quad-core Cortex-A53 processor on a Zynq chip form an application computer system which can run LPI user interface software.
The LPI user interface software subsystem is an application software system running on a PC, displays laser speckle images generated by the speckle processing circuit, and provides an operation interface for a user to control the operation of the device through a mouse/keyboard. The software system mainly comprises the following parts: USB3.0 image driver, USB2.0 image driver, serial port driver, etc.
The USB3.0 image driver is responsible for receiving speckle image data from the front end and will work at 360MB/s, and the high data transmission speed is the main challenge to be faced by the software. Can be modified on the basis of a driving program provided by Cypress. The USB2.0 image driver is responsible for receiving normal color image data from the front end. The serial port driver is responsible for transmitting system operation commands and user operation commands to the front end and receiving command feedback data and state data of the front end. The user interface mainly has the following functions: providing GUI, displaying the running state of the front end unit, displaying the speckle original image, displaying the common color image, receiving the operation command of the user, displaying the instant data of the designated position of the user and storing the image.
The second embodiment is as follows:
the invention discloses a high-performance human tissue blood flow detection and analysis device. As shown in fig. 1, the device mainly has the functions of a laser emission and speckle image pickup processing unit. The system mainly comprises a central control subsystem, a laser speckle processing subsystem and a laser and control circuit subsystem. The working principle is as follows: laser emitted by the laser diode is converted into laser beams which are uniformly distributed in a certain area through the light diffuser, and the laser beams are guided out of the device by the light splitter and irradiate on a region on human tissue. The laser reflected or scattered by static substances, blood cells and the like in the tissues reaches the camera sensor array through the optical lens group, is converted into digital electronic signals, and then generates a blood perfusion image through a signal processing circuit on an FPGA (field programmable gate array) to be displayed on the touch screen display. As shown in fig. 8.
The laser and control system comprises a laser control circuit PCB, an infrared laser diode, a red laser diode, a first light homogenizing sheet and a second light homogenizing sheet. The structure is shown in FIG. 4: the infrared laser diode can emit infrared laser with the wavelength of 785nm as blood perfusion detection laser, the power of the infrared laser diode is 80mW, and the infrared laser diode belongs to the laser safety level 3 b. The red laser diode is capable of emitting red laser light (wavelength 650nm) of 5mW as detection region identification laser light.
When the infrared laser and the red laser are respectively emitted through a light homogenizing sheet (Diffuser) and irradiated to a detection part, a light spot forms a rectangular area of 20cmx 15 cm. The laser light is of safety class 1 when emitted from the device and does not cause any damage to eyes, skin and other human tissues.
The central control subsystem comprises a main control PCB, a common color image sensor PCB, a TFT touch screen and a switch control button. As shown in fig. 5. The main control PCB is designed around STM32F746G Discovery circuit board and has DCMI, TFT and GPIO interfaces. The STM32F46 is an ARM Coretext-M7 Microcontroller (MCU), can work at 233MHz, is integrated with an L1 cache, a 1 Mbyte flash memory and a 240 Kbyte RAM, is internally provided with a DSP (including an FPU) unit and a chroma-ART image processing accelerator, and provides interfaces such as a DCMI (digital camera interface) and a TFT (thin film transistor). STM32F4DIS-CAM image sensor board is selected as the common image sensor PCB, and the common image sensor PCB is provided with a digital camera module with 1.3M pixels (1280x 1024@15 fps). The module integrates an OminiVision OV9655 image sensor and provides a DCMI interface, the TFT touch screen adopts RK043FN48H-CT672B produced by ROCKECH, belongs to capacitive type LCD-TFT color display, and has the screen size of 4.3 inches and the resolution of 480x 272.
The switch control button is a power switch which is arranged on the surface of the shell and used for starting and stopping. The embedded software refers to panel control embedded software, is operated in an STM32F746 MCU to realize interaction with a PC, and controls the startup and shutdown of a system, the display of the system state, the acquisition of images of a common camera and the like.
The laser speckle processing subsystem comprises a speckle processing core board, a speckle processing mother board, a speckle camera daughter board, an SSD hard disk and the like. As shown in fig. 9. The speckle image camera sub-board is mainly used for placing a CMOS image sensor for collecting laser speckle images and a Sony IMX174 image chip. The chip adopts the technical parameters as shown in the table 1: and the data and control interface on the IMX174 image chip is connected to the speckle processing motherboard through a wire and then connected to the data interface on the motherboard.
The speckle processing core board adopts a TE0808-04 PCB module of Trenz Electronic Germany. The central component on the board is a high-end Zynq UltraScale + EG MPSoC chip from Xilinx, usa. As shown in fig. 7, the chip includes the following main components: the quad-core ARM Cortex-A53 applies a microprocessor, and the highest constant frequency is 1.5 GHz; a dual-core ARM Cortex-R5 real-time processor with the highest constant frequency of 600 MHz; a GPU; computer peripheral circuitry; and (5) FPGA.
The Cortex-A53 microprocessor is embedded with a Linux operating system, and an application software system can run on the hardware. The main speckle data processing function is realized on the FPGA. An embedded application will run on the Cortex-R5 processor and is primarily responsible for interacting with the panel control subsystem, such as receiving control commands, returning device status, etc. The system is also responsible for parameter configuration and function control of a high-speed processing unit on the FPGA, operation control of laser and the like.
The laser speckle data processing circuit is characterized in that: high speed, parallel computing capability provided by the FPGA chip and the capability of flexibly updating the algorithm. Wherein the data processing circuit is composed of a plurality of processing channels and works at an extremely high rate in parallel. The data processing circuit needs a large amount of memory space to store operation data, and the memory units in the FPGA chip are insufficient, so that the high-speed memory units are arranged on the circuit board to be used by the data operation circuit. The data processing circuit will be implemented in a hardware circuit description language. Fig. 7 shows a data/control signal flow diagram for the speckle processing circuit.
The speckle camera daughter board is used for collecting original speckle image data, transmitting the original speckle image data into the FPGA for processing, and transmitting the generated speckle image to the ARM microprocessor system through the Cypress USB3 output circuit chip. The data processing circuitry on the FPGA is implemented using VHDL. As shown in fig. 9. The speckle processing circuit motherboard not only connects the speckle camera daughter board, the speckle processing core board and the panel control subsystem together, but also provides interfaces such as SATA hard disk interface, DisplayPort image display interface, Ethernet interface, USB2.0, USB3.0, UART and the like, and the interfaces and the quad core Cortex-A53 processor on the Zynq chip form an application computer system which can run LPI user interface software.
The LPI user interface software subsystem is an application software system running on a 4-core ARM microprocessor system, displays laser speckle images generated by a speckle processing circuit, and provides an operation interface for a user to control the operation of the equipment through a mouse/keyboard. The software system mainly comprises the following parts: USB3.0 image driver, USB2.0 image driver, serial port driver, etc.
The USB3.0 image driver is responsible for receiving speckle image data from the front end and will work at 360MB/s, and the high data transmission speed is the main challenge to be faced by the software. Can be modified on the basis of a driving program provided by Cypress. The USB2.0 image driver is responsible for receiving normal color image data from the front end. The serial port driver is responsible for transmitting system operation commands and user operation commands to the front end and receiving command feedback data and state data of the front end. The user interface mainly has the following functions: providing GUI, displaying the running state of the front end unit, displaying the speckle original image, displaying the common color image, receiving the operation command of the user, displaying the instant data of the designated position of the user and storing the image.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and variations can be made without departing from the technical principle of the present invention, and these modifications and variations should also be regarded as the protection scope of the present invention.
Claims (10)
1. The utility model provides a high performance human tissue blood flow detection analytical equipment, its characterized in that, includes laser and control circuit subsystem, waits to examine tissue, laser speckle processing subsystem, central control subsystem, the output laser of laser and control circuit subsystem acts on wait to examine the tissue and produce the speckle image, the speckle image input the input of laser speckle processing subsystem, the input/output end of laser speckle processing subsystem with the input/output end cooperation hookup of central control subsystem.
2. The device for detecting and analyzing the blood flow of human tissues according to claim 1, wherein the laser and control circuit subsystem comprises a laser control circuit PCB, an infrared laser diode, a red laser diode, a first light homogenizing sheet and a second light homogenizing sheet, wherein the output end of the laser control circuit PCB is respectively connected with the input end of the infrared laser diode and the input end of the red laser diode in a matching manner, the output end of the infrared laser diode is connected with the first light homogenizing sheet in a matching manner, and the output end of the red laser diode is connected with the second light homogenizing sheet in a matching manner.
3. The apparatus according to claim 2, wherein the infrared laser diode is used for emitting infrared laser as blood perfusion detection laser; the red laser diode is used for emitting red laser as detection area identification laser; when the infrared laser emitted by the infrared laser diode is emitted through the first light homogenizing sheet and irradiates a detection part, a light spot forms an infrared laser light spot area; when the red laser emitted by the red laser diode is emitted through the second dodging sheet to irradiate a detection part, a light spot forms a red laser light spot area which is the same as the infrared laser light spot area.
4. The high-performance human tissue blood flow detection and analysis device according to claim 1, wherein the central control subsystem comprises a main control PCB, an image sensor PCB, a TFT touch screen, and a switch control button, the main control PCB is respectively in communication connection with the image sensor PCB, the TFT touch screen, and the switch control button is a power switch installed on the surface of the housing for power on and off.
5. The high performance human tissue blood flow detection and analysis device of claim 4, wherein the main control PCB is an STM32F746 microcontroller, the STM32F746 microcontroller comprises a DCMI interface, a TFT interface and a GPIO interface, the STM32F746 microcontroller is in communication connection with the image sensor PCB through the DCMI interface, the STM32F746 microcontroller is in communication connection with the TFT touch screen through the TFT interface, and the STM32F746 microcontroller is in communication connection with the switch control button through the GPIO interface.
6. The device according to claim 1, wherein the laser speckle processing subsystem comprises a speckle processing core board, a speckle processing mother board, a speckle camera daughter board, and an SSD hard disk, wherein an input/output end of the speckle processing core board is in communication connection with an input/output end of the speckle processing mother board, an input/output end of the speckle camera daughter board is in communication connection with an input/output end of the speckle processing mother board, and an input/output end of the SSD hard disk is in communication connection with an input/output end of the speckle processing mother board.
7. The high-performance human tissue blood flow detection and analysis device according to claim 6, wherein the speckle camera sub-board comprises a CMOS image sensor for collecting laser speckle images, and the CMOS image sensor is in communication connection with the speckle processing motherboard; the CMOS image sensor adopts a Sony IMX174 image chip.
8. The device for detecting and analyzing the blood flow of human tissue as claimed in claim 6, wherein the speckle processing core board adopts Zynq XCZU9EG chip, the Zynq XCZU9EG chip comprises a quad ARM Cortex-A53 application microprocessor, a dual core ARM Cortex-R5 real-time processor and an FPGA chip, the Cortex-R5 real-time processor is connected with the FPGA chip in a communication way, the FPGA chip is connected with a Cypress USB3 output circuit chip and is matched with an external display device, and the Cortex-A53 application microprocessor is embedded into Linux operating system and used as a hardware carrier for running application software system.
9. The apparatus as claimed in claim 8, wherein the speckle processing motherboard comprises SATA hard disk interface, Display Port image Display interface, ethernet interface, USB2.0 interface, USB3.0 interface, and UART interface, and the interface on the speckle processing motherboard and the Cortex-a53 application microprocessor constitute an application computer system for running LPI user interface software.
10. The apparatus according to claim 9, wherein the LPI user interface software is an application software system for displaying the laser speckle images generated by the speckle processing circuit, and an operation interface is provided for a user to control the operation of the apparatus via a mouse/keyboard.
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