CN110279393B - Microvessel detection device and method - Google Patents

Abstract

The invention discloses a microvessel detection device. A finger to be tested is placed in a finger groove, and the blood flow velocity and diameter of the microvessel are detected through at least one microvessel image in the subcutaneous tissue of the finger. The device includes: a computer, It has a display and a processor; a photosensitive coupling component, which is electrically connected to the computer; and a microscope lens, through which the microvascular image is captured, and the microvascular image is formed into a plurality of frames of digital images by the photosensitive coupling component, wherein The multiple frames of the digital image in continuous time are displayed on the display through the processor.

Description

Microvessel detection device and method

technical field

The present invention relates to a detection device and method for human blood vessels, more specifically, a detection device and method for detecting blood flow velocity and diameter of microvessels.

Background technique

Microvascular detection in the prior art, such as Taiwan Patent No. I246910, proposes a method for directly and real-time detection of microvascular blood flow velocity and an evaluation device for microcirculatory function. Including using the image animation of the infrared laser vascular micrographer, using the pointer to select the specific microvascular branch in the image, and marking the analysis range along the longitudinal direction of the microvessel. Through continuous animation processing, real-time red blood cell displacement images can be drawn. Detecting the slope change of the real-time blood cell displacement image can analyze the change of displacement velocity and acceleration of the red blood cell. By integrating the flow velocity of each microvessel at this site and performing statistical analysis, it is possible to observe the difference in characteristics of the microvessel group.

The above-mentioned commonly used infrared laser blood vessel micrographs are prone to errors in the gray scale judgment method; moreover, the calculation path method is simplified, and there are no other calculation path changes as a reference; in addition, it is currently used for microvascular detection Most of the devices are expensive special instruments, which cannot be popularized and used in the home care of ordinary people.

In view of this, the inventors have devoted themselves to research, design and assembly, hoping to provide a cheap and easy-to-operate device and method for rapid detection of microvessels, which uses a simple and low-cost microscopic imaging device with a general home computer. It can quickly self-test the blood flow rate and diameter of the microvessels, allowing users to self-test and evaluate the blood circulation status at any time, so as to pay attention to maintaining their health.

Contents of the invention

The main purpose of the present invention is to provide a method for detecting the blood flow velocity and diameter of microvessels by using white blood cell positioning and pixel calculation.

To achieve the above purpose, an embodiment of the present invention is a microvessel detection device, which detects the blood flow velocity and diameter of the microvessel through at least one microvessel image in the subcutaneous tissue of a finger, including: a computer with a A display and a processor; a photosensitive coupling component, which is electrically connected to the computer; and a microscope lens, through which the microvascular image is captured, and the microvascular image is formed by the photosensitive coupling component into a plurality of frames of digital images, wherein the time is continuous The multiple frames of the digital image are displayed on the display through the processor.

In one embodiment of the detection device, the processor calibrates multiple frames of the digital image, corresponding to a time-continuous marker point of a white blood cell in the microvessel, including a starting point marker point and an end point marker point, the starting point marker point and the The time difference between the marked points at the end point is the first time difference. The processor calculates and adds up the first path length of the consecutive marked points, and divides the first path length by a blood flow velocity value of the first time difference, and displays the blood flow velocity value on the display. .

In one embodiment of the detection device, the processor calibrates the multiple frames of the digital image, corresponding to the time-continuous marker points of a white blood cell in the microvessel, including a starting point marker point and an end point marker point, and the processor has an I-shaped The module of the type frame, including the 45-degree punctuation, 90-degree punctuation, and 135-degree punctuation, searches for a maximum edge position, the processor calculates a blood vessel center mark point, from the blood vessel center mark point, through the I-shaped The module of the type frame marks at least one calculation mark point in turn until the end mark point, the time difference between the start mark point and the end point mark point is the second time difference, and the processor calculates and sums up the consecutive calculation mark points. 2 The path length is divided by a blood flow velocity value of the second time difference, and the blood flow velocity value is displayed on the display.

In one embodiment of the detection device, the processor scans multiple frames of the digital image to form gray-scale signals, and uses the maximum value of the sum of the gray-scale signals on the vertical axis to mark the two edge endpoints of the microvascular diameter, and the processor consists of The horizontal axis corresponds to the pixel values of the two edge endpoints of the microvessel, calculates a diameter value of the microvessel, and displays the diameter value of the microvessel on the display.

Another embodiment of the present invention is a microvessel detection method, which is to decompose the digital image to measure a blood flow velocity value of a microvessel, wherein the detection step includes: clicking on the initial position of a white blood cell in the digital image; Find the position of the same white blood cell in the time-continuous digital image, and click on the position of the white blood cell. If the path is found, the path will be marked and the blood flow velocity value will be calculated; if the path cannot be found, an error will be displayed, and Go back to the step of selecting the initial position of the white blood cell in the digital image.

In one embodiment, the digital image is decomposed to measure a diameter value of a microvessel, wherein the detection step includes: clicking any position in the microvessel in the digital image; finding two positions in the microvessel position of the edge endpoint, and measure the diameter of the microvessel; and manually fine-tune the measurement position, and display the value of the diameter of the microvessel on the display.

In one embodiment of the detection method, the digital image is decomposed to measure a blood flow velocity value of a microvessel, wherein the position of the same white blood cell in the time-continuous digital image is marked as a common point marker point and an end mark point, and at least one tracking point, calculate an average position point of all the tracking points, the angles between each tracking point and the average position, and sort them according to the angle to obtain the sequence of the white blood cells flowing through, the starting point mark point and The time difference of the end point marked point is the first time difference, and the adjacent distances are summed up in order to obtain the first path length flowing through the microvessel, and a blood flow velocity value obtained by dividing the first path length by the first time difference; and on the display Displays the blood flow velocity value.

In one embodiment of the detection method, the digital image is decomposed to measure a blood flow velocity value of a microvessel, wherein the detection step further includes: clicking on a marked point of the white blood cell in the digital image and a End mark point; use an I-shaped frame, search for a maximum edge position with the path of 45-degree punctuation, 90-degree punctuation, and 135-degree punctuation; calculate a blood vessel center mark point; from the blood vessel center mark point, through the The I-shaped frame marks at least one calculation mark point in turn until the end mark point; the time difference between the start mark point and the end point mark point is the second time difference, and the second path length of the continuous calculation mark points is calculated and summed up, dividing a blood flow velocity value by the second time difference; and displaying the blood flow velocity value on the display.

In one embodiment of the detection method, the position of the two edge endpoints in the microvessel is found. The steps include: scanning the digital image into a grayscale signal to form a grayscale signal value on the vertical axis and a pixel value on the horizontal axis; The maximum value of the gray-scale signal sum of the axis is used to mark the two edge endpoints of the microvessel diameter; the corresponding horizontal axis pixel values of the two edge endpoints of the microvessel diameter are used to calculate the diameter value of the microvessel; and display the microvessel diameter on the display The value of the diameter of the microvessel.

This Summary presents a selection of concepts in a simplified form that are further described below in the Detailed Description. This "Summary of the Invention" is not intended to identify the key features or essential features of the patent application, nor is it intended to be used to limit the scope of protection of the patent application.

Description of drawings

Figure 1 is a schematic diagram of the device of the present invention.

Fig. 2 is a schematic diagram of the marking point of the starting point of the present invention.

Fig. 3 is a schematic diagram of the end point marking points of the present invention.

Fig. 4 is a schematic diagram of the analysis path of leukocytes in the present invention.

Fig. 5 is a schematic diagram of analyzing a path along a blood vessel edge according to the present invention.

Fig. 6 is a schematic diagram of measuring pipe diameter in the present invention.

Fig. 7 is a step diagram of the method for detecting the blood flow velocity of microvessels of the present invention.

FIG. 8 is a schematic diagram of an exploded view of the leukocyte analysis path in the present invention.

Fig. 9 is a step diagram of the method for detecting the blood flow velocity of microvessels in the present invention.

Fig. 10 is a schematic diagram of calculating the flow path length from the angle of the average position according to the present invention.

FIG. 11 is a schematic diagram of an exploded screen for analyzing a path along a blood vessel edge according to the present invention.

FIG. 12 shows the initial search path of the present invention based on the analysis of the path by the edge of the blood vessel.

Fig. 13A is a schematic diagram of the 135-degree search of the I-shaped frame of the present invention.

Fig. 13B is a schematic diagram of the 90-degree search of the I-shaped frame of the present invention.

Fig. 13C is a schematic diagram of the 45-degree search of the I-shaped frame of the present invention.

Fig. 14 is a schematic diagram of positioning the center of the maximum edge position in the present invention.

FIG. 15 is a schematic diagram of the present invention to indicate progress along the analytical path along the edge of a blood vessel.

Fig. 16A is a schematic diagram of the 135-degree search of the I-shaped frame of the present invention.

Fig. 16B is a schematic diagram of the 90-degree search of the I-shaped frame of the present invention.

Fig. 16C is a schematic diagram of the 45-degree search of the I-shaped frame of the present invention.

Fig. 17 is a schematic diagram of positioning the center of the maximum edge position in the present invention.

Fig. 18 is a trajectory diagram of the path analyzed by the edge of the blood vessel in the present invention.

Fig. 19 is a schematic diagram of the present invention to calculate the blood flow velocity along the blood vessel edge analysis path.

Fig. 20 is a schematic diagram of pipe diameter measurement in the present invention.

Symbol Description:

11 computer

12 monitors

13 Optical coupling components

14 microscope lens

15 finger groove

16 fingers

17 processors

21 microvessels

22 white blood cells

24 1st marking line

25 2nd marking line

81 starting point marking point

82 end mark point

85 135 degree punctuation

86 90 degree punctuation

87 45 degree punctuation

88 I-shaped frame

89 Maximum edge position

90 Marking point of blood vessel center

91 Calculation of marked points

92 out of range leukocytes

101 average position points

102 1st Tracking Point

103 2nd Tracking Point

104 3rd Tracking Point

105 4th Tracking Point

106 5th Tracking Point

107 Tracking point 6

110 1st Distribution Map

111 1st Curve

120 2nd Distribution Map

121 2nd Curve

Detailed ways

As shown in Fig. 1, it is a schematic diagram of the device of the present invention. In one embodiment, the present invention provides a microvessel detection device, which detects the blood flow velocity and diameter of the microvessel 21 through the image of at least one microvessel 21 in the subcutaneous tissue of a finger 16. The device of the present invention includes: a computer 11, A photosensitive coupling component 13 (charge-coupled device, CCD), and a microscope lens 14. Wherein the computer 11 has a display 12 and a processor 17; the photosensitive coupling component 13 is connected to the computer 11 by an electrical signal, such as using a USB interface of a communication transmission interface, an IEEE 1394 interface, an Ethernet interface, and CVBS to add an image Capture card interface, etc. And the microscope lens 14 has the function of magnifying the microscopic image, and the image of the microvessel 21 is captured through the microscope lens 14, and the image of the microvessel 21 is formed by the photosensitive coupling device 13 into a plurality of frames of digital images, wherein the multiple frames of digital images that are continuous in time, displayed on the display 12 via the processor 17 .

As shown in Figures 2 and 3, the processor 17 calibrates multiple frames of the digital image, corresponding to the time-continuous marked points of a white blood cell 22 in the microvessel 21, including a starting point marked point 81 and an end point marked point 82, the starting point marked The time difference between point 81 and the end mark point 82 is the first time difference. The processor 17 calculates the first path length of the continuous marked points, divides the first path length by a blood flow velocity value of the first time difference, and displays it on the display 12 shows the blood flow velocity value.

Figure 4 and Figure 5 show the display structure of two kinds of blood flow velocity values of the present invention, and Figure 4 shows the analysis path of white blood cells 22 of the present invention, find out some white blood cells 22 of selected blood vessels in the exploded view, and analyze their flow paths . And FIG. 5 shows the analysis path along the edge of the microvessel 21 according to the present invention. Starting from one selected position in the microvessel 21, another selected position is found along the edge of the microvessel 21. The total time can be obtained from the length of the flow path and the total number of decomposed digital images, so that the blood flow velocity can be calculated.

As shown in Figure 6, it is a schematic diagram of measuring pipe diameter. As an embodiment of the present invention, the function display screen displayed on the display 12 through the calculation of the processor 17 includes displaying the diameter value of the microvessel 21, fine-tuning the boundary value of the first marking line 24 on the left, and fine-tuning the border value of the first marking line 24 on the right ( right) the boundary value of the second marking line 25, and after using the mouse to click on the position of the first marking line 24 and the second marking line 25, the processor 17 calculates the diameter value of the microvessel 21, as shown in FIG. 6 display screen, and The functions of the display 12 are shared in steps S71 , S72 , and S73 in FIG. 7 . Displayed at the lower end of the function display screen of the display 12 is the option of the graphical function interface.

As shown in FIG. 7 , in another implementation, it is a step diagram of the method for detecting the blood flow velocity of the microvessel 21 of the present invention. Wherein, the detection step includes: step S1, a finger 16 to be tested is placed in a finger groove 15; step S2, a photosensitive coupling device 13 is made to obtain a digital image; step S3, the digital image is displayed on a A display 12 of the computer 11; step S4, adjust the position of the finger 16 and the focal length of a microscope lens 14 according to the digital image of the display 12; and step S5, capture the digital image and decompose the digital image according to continuous time.

As shown in FIG. 7, step S6, function selection, selects and decomposes the digital image as a measurement of a blood flow velocity value of a microvessel 21, wherein, the detection step includes: step S81, click a white blood cell in the digital image 22 initial position; step S82, find out the position of the same white blood cell 22 in the time-continuous digital image, and click on the position of the white blood cell 22; step S85, find the path, mark the path and calculate the blood flow velocity value; and step S84, if the path cannot be found, an error is displayed, and the step of selecting the initial position of the white blood cell 22 in the digital image is returned to.

As shown in FIG. 7, step S6, function selection, selects and decomposes the digital image as a measurement of a diameter value of a microvessel 21, wherein, the detection step includes: step S71, selecting the microvessel 21 in the digital image Any position within; step S72, find out the positions of the two edge endpoints in the microvessel 21, and measure the diameter of the microvessel 21; and step S73, manually fine-tune the measurement position, and display the diameter of the microvessel 21 Value on the display 12.

As shown in FIGS. 7 to 10, the digital image is decomposed to measure a blood flow velocity value of a microvessel 21, wherein the position of the same white blood cell 22 in the time-continuous digital image is demarcated as a common point marking point 81 and an end mark point 82, and at least one tracking point, as shown in Figure 10, the first tracking point 102, the second tracking point 103, and the sixth tracking point 107; calculate an average position point 101 of all the tracking points, The angles between each tracking point and the average position are sorted according to the angle; the order in which the white blood cells 22 flow through is obtained, and the time difference between the starting point 81 and the end point 82 is the first time difference; the adjacent distances are summed up sequentially to obtain A first path length flowing through the microvessel 21 ; a blood flow velocity value obtained by dividing the first path length by a first time difference; and displaying the blood flow velocity value on the display 12 .

In FIG. 9 , for the selection of the same white blood cell 22 , image analysis is used to analyze the gray scale differences between the exploded views, to find out the positions of all white blood cells 22 therebetween, and to remove the white blood cells 92 outside the selected range.

In Fig. 8, the user selects the starting point of the white blood cell 22 in the decomposition screen, and selects the end point of the white blood cell 22 in several subsequent decomposition screens. According to the performance of the computer 11, after the video is compressed, the frame rate (FrameRate) can be obtained from the digital image file. , the following frame rate is 25 frames per second (Frame Rate), for example: each frame is 1/25 second, there are 9 digital images of the exploded view, and the interval between the beginning and the end is 8/25 seconds. In Fig. 10, assume that the above-mentioned path length is calculated to be 96 pixels (pixel), and the digital image captured by the microscope lens 14 has a pixel ratio of 1.164594 μm/pixel. The second path length is 96 pixels (pixel) multiplied by 1.164594 μm/pixel. pixel=111.801024 μm, the digital image captured by the microscope lens 14 has 25 digital images per second, thus the time difference between the starting point 81 and the end point 82 is calculated as the first time difference, so the second path length is divided by The first time difference can calculate the blood flow velocity, [96pixels/(8/25sec)]X 1.164594μm/pixel＝349μm/sec≒0.35mm/sec.

In Fig. 11 to Fig. 19, the blood flow velocity values calculated by the I-shaped frame 88 according to an embodiment of the present invention are shown. The present invention decomposes the digital image to measure a blood flow velocity value of a microvessel 21, wherein the detection step further includes: as shown in FIG. End mark point 82; shown in Fig. 12 to Fig. 13C, use an I-shaped frame 88, with 45 degree punctuation 87, 90 degree punctuation 86 and the path of 135 degree punctuation 85, as shown in Fig. 14, search for a maximum Edge position 89; as shown in FIG. 14, calculate a blood vessel center marking point 90; from the blood vessel center marking point 90, as shown in FIG. 15 to FIG. Up to this end mark point 82; The time difference between this start mark point 81 and this end point mark point 82 is the 2nd time difference, as shown in Figure 18, calculate the 2nd path length of this calculation mark point 91 that sums up continuously, divide by the 2nd A blood flow velocity value of the time difference; and displaying the blood flow velocity value on the display 12 .

As shown in FIG. 12 , the starting point 81 or the end point 82 are searched by the lower one, and the initial search direction is upward at 90 degrees. In the present invention, the default search angle for each step is +/-45 degrees. Therefore, the candidate positions for the next step are 135, 90, and 45 degrees, as shown in Fig. 13A to Fig. 13C , three o'clock positions. From left to right are the forward positions of 135, 90, and 45 degrees respectively. The I-shaped frame 88 is the search range, and the maximum edge amount of the angle is calculated from the outside of the blood vessel to the center direction, wherein the definition of the maximum edge amount is the arrow direction along the left and right sides of the I-shaped frame 88 according to the click position , scan the range of several pixels (pixels) from the outside of the blood vessel to the center direction, the scanning method first generates the gray scale value difference between adjacent pixels, and sums up the gray scale values in the I-shaped central axis direction of the I-shaped frame 88, As a result, obtain the curve diagram of the I-shaped left and right sides of the I-shaped frame 88, find out the slope peak in the left and right side curves, that is, the maximum difference, which is the maximum edge amount (Lmax) on the left side of the angle, and the right side. Maximum margin (Rmax).

The sum of the maximum edge amounts on the left and right sides (Lmax+Rmax) is the total edge amount at this angle. As shown in the embodiment of Fig. 13A, the maximum edge amount (Rmax) on the right side of 135 degrees = 181, and the maximum edge amount (Lmax) on the left side = 29. Therefore, the total edge amount of 135 degrees is 181+29=210. In the embodiment shown in Fig. 13B, the maximum edge amount (Rmax) on the right side of 90 degrees is 354, the maximum edge amount on the left side (Lmax) is 672, and the total edge amount of 90 degrees is 672+354=1026. As shown in Fig. 13C embodiment, the maximum edge amount (Rmax) on the right side of 45 degrees is 229, and the maximum edge amount (Lmax) on the left side is 243. Therefore, the total edge amount of 45 degrees is 229+243=472. According to the above calculation, the total edge amount of 90 degrees is greater than the total edge amount of 45 degrees, and greater than the total edge amount of 135 degrees, so the maximum total edge amount is the value of the total edge amount of 90 degrees, that is, 1026. Since the maximum total edge amount at this stage is the value of 90 degrees, that is, 1026, the direction of this stage advances toward the maximum total edge amount, that is, 90 degrees.

Both sides of the I-shaped frame 88 have a maximum edge amount respectively, and the sum of the maximum edge amounts on both sides is the total edge amount of this angle. Assume that the maximum total edge amount at this stage is 90 degrees, so the direction at this stage advances to 90 degrees, as shown in Figure 14. In FIG. 14 , the 90-degree mark 86 is a candidate position in the 90-degree direction. The algorithm will adjust the candidate coordinates, in FIG. 14 , the 90-degree point 86 to the blood vessel center marking point 90 according to the position of the maximum edge amount on both sides, that is, the maximum edge position 89 . Finally, this vascular center marked point 90 is the position of the next open search point found in this stage, and the next candidate position is to use the vascular center marked point 90 as the open search point, and continue to 135 , 90, 45 degree direction search.

As shown in Figure 15. To calculate step by step in the direction of 90 degrees, the marked point 90 of the blood vessel center can be used as the starting search point, and the direction of the maximum total edge amount can be found out one by one, and the position of the marked point 91 can be calculated in advance. As shown in FIG. 16A to FIG. 16C , the above-mentioned I-shaped frame 88 is searched again at the position of the calculated mark point 91 at the initial search, and the search direction is an upward 90-degree direction. In the algorithm of the present invention, the default rotation angle of each step is +/-45 degrees. So the candidate positions of the next step shown in Fig. 16A to Fig. 16C are 135, 90, and 45 degrees, three positions shown in Fig. 16A to Fig. 16C, including: 45 degree punctuation point 87, 90 degree punctuation point 86, and 135 degree The location of punctuation 85. From left to right are the forward positions of 135, 90, and 45 degrees respectively.

Taking the I-shaped frame 88 as the search range, calculate the maximum edge amount of the angle from the outside of the blood vessel to the center. Among them, the definition of the maximum edge amount is to scan the range of several pixels (pixels) from the outside of the blood vessel to the center direction along the arrow directions on the left and right sides of the I-shaped frame 88 according to the click position. The scanning method first generates adjacent pixels. The gray scale value difference between the I-shaped frame 88 and the gray-scale value of the I-shaped central axis direction of the I-shaped frame 88 are summed up. As a result, the curves on the left and right sides of the I-shaped frame 88 are obtained. The peak of the slope, that is, where the difference is the largest, is the maximum edge amount (Lmax) on the left side of the angle, and the maximum edge amount (Rmax) on the right side of the angle.

The sum of the maximum edge amounts on the left and right sides (Lmax+Rmax) is the total edge amount at this angle. As shown in the embodiment of Fig. 16A, the maximum edge amount (Rmax) on the right side of 135 degrees = 473, and the maximum edge amount (Lmax) on the left side = 29. Therefore, the total edge amount of 135 degrees is 473+29=502. As shown in the embodiment of Fig. 16B, the maximum edge amount (Rmax) on the right side of 90 degrees = 701, the maximum edge amount on the left side (Lmax) = 540, and the total edge amount of 90 degrees is 701 + 540 = 1241. As shown in the embodiment of Fig. 16C, the maximum edge amount (Rmax) on the right side of 45 degrees is 758, and the maximum edge amount (Lmax) on the left side is 979. Therefore, the total edge amount of 45 degrees is 758+979=1737. According to the above calculation, the total margin of 45 degrees is greater than the total margin of 90 degrees, and the total margin of 90 degrees is greater than the total margin of 135 degrees, so the maximum total margin is the value of the total margin of 45 degrees, that is, 1737. Since the maximum total edge amount at this stage is the value of 45 degrees, ie 1737, the direction at this stage is towards the maximum total edge amount, ie 45 degrees.

As shown in FIG. 16A to FIG. 16C , the I-shaped frame 88 is the search range, along the direction of the double arrow, the edge amount of the angle is calculated from the outside of the blood vessel to the center of the double arrow. There is a maximum edge position 89 on both sides of the I-shaped frame 88, and the sum of the maximum edge positions 89 on both sides is the total edge amount of this angle. Assume that the maximum total edge amount at this stage is 45 degrees, so the direction at this stage advances to 45 degrees, as shown in Figure 17.

In FIG. 17 , the candidate position for the 45-degree direction is the 45-degree mark 87 . Assuming that the maximum edge position 89 is formed on both sides, the algorithm will adjust the 45-degree punctuation point 87 of the candidate coordinates to the vessel center mark point 90 in the direction of the vessel center according to the maximum edge position 89 on both sides. Finally, the marked point 90 of the blood vessel center is the position of the starting search point of the next point found in this stage, and the candidate position of the next step is to start the search point with the marked point 90 of the blood vessel center, and continue to 135, 90, 45 Degree direction search.

In FIG. 18 , according to the above method, advance to the next calculated position step by step, and adjust the traveling direction until entering the end point 82 in the end area, that is, to find the track of the microvessel 21 .

In Fig. 11, the user selects the starting point of the white blood cell 22 in the decomposition screen, and selects the end point of the white blood cell 22 in several subsequent decomposition screens. According to the performance of the computer 11, after the video is compressed, the frame rate (FrameRate) can be obtained from the digital image file. , the following frame rate is 25 frames per second (Frame Rate), for example: each frame is 1/25 second, there are 9 digital images of the exploded view, and the interval between the beginning and the end is 8/25 seconds. In Fig. 18 and Fig. 19, assume that the above-mentioned path length is calculated to be 86 pixels (pixel), and the digital image captured by the microscope lens 14 has a pixel ratio of 1.164594 μm/pixel. The second path length is 86 pixels (pixel) multiplied by 1.164594 μm/pixel=100.155084 μm, the digital image captured by the microscope lens 14 has 25 digital images per second, thus the time difference between the starting point 81 and the end point 82 is calculated as the second time difference, so the second path The blood flow velocity can be calculated by dividing the length by the second time difference, 86pixels/(8/25sec) multiplied by 1.164594μm/pixel=294μm/s=0.29mm/s.

In FIG. 20 , the steps of finding the positions of the two edge endpoints in the microvessel 21 include: scanning the digital image into a gray-scale signal, forming a gray-scale signal value on the vertical axis, and a pixel value on the horizontal axis; adding the gray-scale signal to the vertical axis The maximum value of the total value is to mark the two edge endpoints of the diameter of the microvessel 21; the corresponding horizontal axis pixel value of the two edge endpoints of the diameter of the microvessel 21 is used to calculate the value of the diameter of the microvessel 21; and display the microvessel on the display 12 The pipe diameter value of 21.

In Figure 20, according to the selected position, scan 16 pixels (pixels) on the left and right, and the square-shaped range. If it cannot be found, it will automatically expand the scan to the left and right. The scanning method first produces the difference in grayscale values between pixels, and the result is as shown in Figure 20. The first distribution diagram 110 and the distribution diagram of gray scale value differences between pixels in the second distribution diagram 120, and then sum the gray scale values in the vertical direction, the result is the first graph 111 and the second graph as shown in Figure 20 121 graph. Find the peak in the curve, the maximum difference in the figure is the edge of the microvessel 21, according to the digital image captured by the microscope lens 14, the pixel ratio is 1.164594 μm/pixel, the left peak in Figure 20 is at At the 7th pixel (pixel), the right side is at the 10th pixel (pixel), so a total of 16 pixels (pixel) are separated. The calculated diameter of the microvessel 21 is 16 pixels (pixel) multiplied by 1.164594 μm/pixel to equal 18.6 μm.

Although the present invention has been disclosed above with the embodiments, it is not intended to limit the present invention. Any skilled person can make various changes and modifications without departing from the spirit and scope of the present invention. Therefore, the present invention The scope of protection is based on the claims.

Claims (8)

1. A microvascular detection device for detecting a blood flow velocity and a tube diameter of a microvascular via at least one microvascular image in a subcutaneous tissue of a finger, comprising:

a computer having a display and a processor;

a photosensitive coupling component, which is electrically connected with the computer; and

a microscope lens, capturing the micro-blood vessel image through the microscope lens, wherein the micro-blood vessel image forms a plurality of digital images of frames by the photosensitive coupling component, wherein the digital images of a plurality of frames which are continuous in time are displayed on the display through the processor;

wherein the processor marks a plurality of frames of the digital image corresponding to a time continuous marking point of a white blood cell in the micro blood vessel, and comprises a starting point marking point and an end point marking point, the processor is provided with a searching module of an I-shaped frame, the searching module comprises a 45-degree marking point, a 90-degree marking point and a path of a 135-degree marking point to find a maximum edge position, the processor calculates a blood vessel center marking point, the blood vessel center marking point sequentially marks at least one calculating marking point through the searching module of the I-shaped frame until the time difference between the starting point marking point and the end point marking point is the 2 nd time difference, the processor calculates and sums the 2 nd path length of the continuous calculating marking point, divides a blood flow velocity value of the 2 nd time difference, and displays the blood flow velocity value on the display, calculating a maximum edge position by the searching module, wherein the maximum edge amount is used according to the starting point marking point and the point selection position of the calculating marking point, a plurality of pixels are scanned from the outside of the micro-blood vessel to the central direction of the I-shaped frame along the direction of the left side and the right side of the I-shaped frame, gray scale value differences between adjacent pixels are generated by scanning, gray scale values of the I-shaped central axis direction of the I-shaped frame are summed to obtain the maximum edge amount of the left side with the maximum difference at the corresponding angle in the left side and the maximum edge amount of the right side with the maximum difference at the corresponding angle in the right side, wherein the sum of the maximum edge amounts of the left side and the right side with the same corresponding angle is the total edge amount of the corresponding angle of the 45-degree marking point, the 90-degree marking point and the 135-degree marking point, and the searching module adds up the gray scale values of the I-shaped central axis direction of the I-shaped frame to obtain the maximum edge amount of the left side and the right side of the left side, the maximum total edge quantity in a corresponding stage is selected from the total edge quantity of the 90-degree punctuation and the corresponding angle of the 135-degree punctuation, and the advancing direction of the next stage search of the corresponding stage is advanced towards the corresponding direction of the maximum total edge quantity of the corresponding stage.

2. The microvascular testing device of claim 1, wherein the processor calibrates a plurality of frames of the digital image corresponding to a time-continuous indicator of a white blood cell in the microvascular, including a start indicator and an end indicator, the time difference between the start indicator and the end indicator being a 1 st time difference, the processor calculates a 1 st path length of the summed continuous indicator, the 1 st path length divided by a blood flow velocity value of the 1 st time difference, and displays the blood flow velocity value on the display.

3. The device of claim 1, wherein the processor scans a plurality of frames of the digital image into gray-scale signals, sums the gray-scale signals on the vertical axis to a maximum value, marks two edge end points of the tube diameter of the micro-blood vessel, calculates a tube diameter value of the micro-blood vessel from the corresponding pixel values on the two edge end points of the micro-blood vessel on the horizontal axis, and displays the tube diameter value of the micro-blood vessel on the display.

4. A microvascular detection method using the microvascular detection device of claim 1, wherein the detecting step comprises:

a finger to be measured is placed in a finger groove;

a photosensitive coupling component is made to acquire a digital image;

transmitting the digital image to a display of a computer;

adjusting the position of the finger and the focal length of a microscope lens according to the digital image of the display; and

capturing the digital image and decomposing the digital image according to continuous time;

the digital image is decomposed to measure a blood flow velocity value of a capillary, and the detecting step comprises the following steps:

selecting a point mark point and an end point mark point of the white blood cells in the digital image;

using an I-shaped frame, and searching a maximum edge position by using paths of 45-degree punctuation, 90-degree punctuation and 135-degree punctuation;

calculating a blood vessel center marking point;

sequentially marking at least one calculation marking point from the center marking point of the blood vessel through the I-shaped frame until reaching the end marking point;

the time difference between the starting point marking point and the ending point marking point is the 2 nd time difference, and the 2 nd path length of the continuous calculation marking point is calculated and summed, and divided by a blood flow velocity value of the 2 nd time difference; and

displaying the blood flow velocity value on the display;

the searching step of the maximum edge position includes:

using a maximum edge quantity, wherein the maximum edge quantity scans a plurality of pixels from the outside of the micro-blood vessel to the central direction of the I-shaped frame along the directions of the left side and the right side of the I-shaped frame according to the point selection positions of the starting point marking point and the calculating marking point;

scanning to generate gray scale value difference between adjacent pixels;

adding up gray scale values of the I-shaped middle axis direction of the I-shaped frame;

obtaining the maximum edge quantity of the left side with the maximum difference in the left side being the corresponding angle, and obtaining the maximum edge quantity of the right side with the maximum difference in the right side being the corresponding angle;

the sum of the maximum edge amounts of the left side and the right side of the same corresponding angle is respectively the total edge amount of the corresponding angle of the 45-degree punctuation, the 90-degree punctuation and the 135-degree punctuation;

selecting the maximum total edge quantity in a corresponding stage from the total edge quantities of the 45-degree punctuation, the 90-degree punctuation and the 135-degree punctuation respectively; and

the advancing direction of the search of the next stage of the corresponding stage is advanced toward the corresponding direction of the maximum total edge quantity of the corresponding stage.

5. The method of claim 4, wherein the step of detecting comprises:

selecting a white blood cell starting position in the digital image;

finding out the position of the same white blood cell in the continuous digital image, and clicking the position of the white blood cell;

if the path is found, marking the path and calculating the blood flow velocity value; and

if no path is found, displaying error and resetting to select the initial position of the white blood cell in the digital image.

6. The method of claim 4, wherein the step of detecting comprises:

selecting any position in the micro blood vessel in the digital image;

finding out the end points of two edges in the micro-blood vessel and measuring the pipe diameter of the micro-blood vessel; and

and manually fine-adjusting the measuring position and displaying the pipe diameter value of the micro-blood vessel on the display.

7. The method of claim 5, wherein the digital image is decomposed to measure a blood flow velocity of a microvascular,

the position of the same white blood cell in the time-continuous digital image is marked as a point marking point, an end point marking point and at least one tracking point;

calculating an average position point of all the tracking points, and sequencing angles of all the tracking points and the average position according to the angles;

obtaining the sequence of the white blood cells flowing through, wherein the time difference between the starting point marking point and the ending point marking point is the 1 st time difference;

sequentially adding adjacent distances to obtain a 1 st path length flowing through the microvasculature;

a blood flow velocity value of the 1 st path length divided by the 1 st time difference; and

the blood flow velocity value is displayed on the display.

8. The method of claim 6, wherein locating two edge end points within the microvasculature comprises:

forming a vertical axis gray scale signal value and a horizontal axis pixel value by scanning the digital image into gray scale signals; the maximum value of the total value of the vertical axis gray level signals is added to calibrate the two edge endpoints of the capillary diameter; calculating the corresponding horizontal axis pixel value of the two edge endpoints of the micro-blood vessel diameter to calculate the pipe diameter value of the micro-blood vessel; and displaying the tube diameter value of the micro-blood vessel on the display.

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