TWI796317B - Microvascular detection device and method - Google Patents

Abstract

A microvascular device for detecting the blood flow velocity and the diameter of the microvascular by at least one microvascular image of a finger subcutaneous tissue under test when the finger to be measured is placed in a finger groove, comprising: a computer having a display; and a processor; a charge-coupled device(CCD), electrically connected to the computer; and a microscope lens for capturing microvascular images via the microscope lens, wherein the microvascular images form a plurality of frames of digital images by the charge-coupled device(CCD), wherein the time continuous digital images are displayed on the display via the processor.

Description

Microvessel detection device and method

The invention relates to a human blood vessel detection device and method, in particular to a microvessel detection device and method for detecting blood flow velocity and diameter of microvessels.

Prior art microvascular detection, such as the Republic of China Patent No. I246910, this invention proposes a method for directly and instantly detecting blood flow velocity in microvascular and an evaluation device for microcirculatory function. Including using the image animation of the infrared laser vascular micrographer to select specific microvascular branches in the image with indicators, and to calibrate the analysis range along the longitudinal direction of the microvessels. 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 the displacement velocity and acceleration of the red blood cell. Combining the flow velocity of each microvessel in this part, statistical analysis can be performed to observe the difference in the characteristics of the microvascular group.

The above-mentioned conventional infrared laser blood vessel micrograph is 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 can be used with a simple and low-cost microscopic imaging device with a general household computer. It can quickly self-test the blood flow rate and diameter of microvessels, allowing users to self-test and evaluate the blood circulation status at any time, so as to pay attention to maintaining their health.

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, one 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 display and a processor; a photosensitive coupling device, 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 device into a plurality of frames of digital images, wherein time-continuous Multiple frames of the digital image are displayed on the display through the processor.

In one embodiment of the detection device, the processor calibrates the plurality of 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 marking points of a white blood cell in the microvessel, including a starting point marking point and an end point marking point, and the processor has an I word The module of the frame, including 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 tool The module of the font frame sequentially marks at least one calculation mark point until the end mark point, the time difference between the start point 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 The second 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 into grayscale signals, and uses the maximum value of the grayscale signals on the vertical axis to mark the two edge endpoints of the microvascular diameter. The processor A diameter value of the microvessel is calculated from corresponding pixel values of two edge endpoints of the microvessel on the horizontal axis, and the diameter value of the microvessel is displayed 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; finding 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 restarted. 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, forming a grayscale signal value on the vertical axis, and a pixel value on the horizontal axis; The maximum value of the sum of the gray scale signals on the vertical axis is used to mark the two edge endpoints of the microvascular diameter; the corresponding horizontal axis pixel values of the two edge endpoints of the microvascular diameter are used to calculate the diameter value of the microvessel; and The monitor displays the diameter value of the microvessel.

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

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 A coupling element 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 element 13 is connected to the computer 11 by electrical signals, such as USB interface, IEEE 1394 interface, Ethernet interface, and CVBS plus image using communication transmission interface 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 into a plurality of frames of digital images by the photosensitive coupling device 13, wherein the time-continuous multiple frames of the digital images, displayed on the display 12 via the processor 17 .

As shown in Figures 2 and 3, the processor 17 calibrates the multiple frames of the digital image, corresponding to the time-continuous marking points of a white blood cell 22 in the microvessel 21, including a starting point marking point 81 and an end point marking point 82, the starting point marking point 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 caliber value of the microvessel 21, as shown in FIG. 6 , The function of the display 12 is shared with 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 element 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 starting 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, clicking on 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 tube The diameter value is 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 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 and remove the white blood cells 92 outside the selection 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 (Frame Rate) can be obtained from the digital image file. , the following frame rate is 25 frames per second, 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, [96 pixels / (8/25 sec)] X 1.164594μm/pixel = 349μm/sec ≒ 0.35mm/sec.

In Fig. 11 to Fig. 9, 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 on the left and right sides of the I-shaped frame 88 along the clicked position direction, 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, the left and right curves of the I-shaped frame 88 are obtained, and the slope peaks in the left and right curves are found, that is, the point with the largest difference, which is the maximum edge amount (Lmax) on the left side of the angle, and the maximum edge on the right side. amount (Rmax).

The sum of the maximum margins on the left and right sides (Lmax + Rmax) is the total margin at this angle. As shown in the embodiment of Figure 13A, the maximum edge amount (Rmax) on the right side of 135 degrees is 181, and the maximum edge amount (Lmax ) on the left side is 29. Therefore, the total edge amount of 135 degrees is 181+29=210. In the example shown in Figure 13B, the maximum edge amount (Rmax) on the right side of 90 degrees is 354, the maximum edge amount (Lmax ) on the left side is 672, and the total edge amount of 90 degrees is 672+354=1026. As shown in Figure 13C embodiment, the maximum edge amount (Rmax) on the right side of 45°=229, and the maximum edge amount (Lmax)=243 on the left side, therefore, the total edge amount of 45° 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, ie, 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 search of the above-mentioned I-shaped frame 88 is repeated with 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 Differences in gray scale values between pixels, and summing up the gray scale values in the direction of the central axis of the I-shaped frame 88 to obtain the curves on the left and right sides of the I-shaped frame 88, find out the curves on the left and right sides The peak of the slope, that is, the largest difference, 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 margins on the left and right sides (Lmax + Rmax) is the total margin at this angle. As shown in the embodiment of Figure 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 Figure 16B, the maximum edge amount (Rmax) on the right side of 90 degrees = 701, the maximum edge amount (Lmax ) on the left side = 540, and the total edge amount of 90 degrees is 701+540=1241. As shown in the embodiment of Figure 16C, the maximum edge amount (Rmax) on the right side of 45 degrees = 758, and the maximum edge amount (Lmax ) on the left side = 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 mark 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 the subsequent several decomposition screens. According to the performance of the computer 11, after the video is compressed, the frame rate (Frame Rate) can be obtained from the digital image file. , the following frame rate is 25 frames per second, 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, 86 pixels / (8/25 sec) 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; the gray-scale signal on the vertical axis The maximum value of the total value is used to mark the two edge endpoints of the diameter of the microvessel 21; the corresponding horizontal axis pixel values of the two edge endpoints of the diameter of the microvessel 21 are used to calculate the value of the diameter of the microvessel 21; and on the display 12 The diameter value of the microvessel 21 is displayed.

In Figure 20, according to the selected position, scan 16 pixels (pixels) on the left and right, and the square range. If you can’t find it, you can automatically expand the scan to the left and right. The scanning method first produces the difference in gray scale value 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 the 7 pixels (pixel), right at 10 pixels (pixel), so a total of 16 pixels (pixel) apart. The diameter of the microvessel 21 is calculated, which is 16 pixels (pixel) multiplied by 1.164594 μm/pixel, which is equal to 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 protection of the present invention The scope shall be defined in the scope of the appended patent application for invention.

11‧‧‧computer 12‧‧‧monitor 13‧‧‧photosensitive coupling element 14‧‧‧microscope lens 15‧‧‧finger slot 16‧‧‧finger 17‧‧‧processor 21‧‧‧microvascular 22‧‧‧white blood cell 24‧‧‧1st marking line 25‧‧‧2nd marking line 81‧‧‧starting mark point 82‧‧‧end point marking point 85‧‧‧135 degree punctuation 86‧‧‧90 degree punctuation 87‧‧45 degree Punctuation 88‧‧‧I-shaped frame 89‧‧‧maximum edge position 90‧‧‧vascular center mark point 91‧‧‧calculated mark point 92‧‧‧white blood cells outside the range 101‧‧‧average position point 102‧‧‧th 1st tracking point 103‧‧‧2nd tracking point 104‧‧‧3rd tracking point 105‧‧‧4th tracking point 106‧‧‧5th tracking point 107‧‧‧6th tracking point 110‧‧‧1st distribution Figure 111‧‧‧the first graph 120‧‧‧the second distribution graph 121‧‧‧the second graph

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.

11‧‧‧Computer

12‧‧‧Display

13‧‧‧Photocoupler

14‧‧‧Microscope lens

15‧‧‧Finger groove

16‧‧‧finger

17‧‧‧Processor

Claims (8)

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 display and a processor; a photosensitive coupling element, electrically The signal is 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 device, wherein the time-continuous plurality of frames of the digital images are displayed on the computer through the processor The display; wherein, the processor calibrates multiple frames of the digital image corresponding to time-continuous marking points of a white blood cell in the microvessel, including a starting point marking point and an end point marking point, and the processor has a search for an I-shaped frame The module includes a 45-degree punctuation point, a 90-degree punctuation point and a 135-degree punctuation point to search 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 search module of the framework sequentially marks at least one calculation mark point until the end mark point, the time difference between the start point 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 The second 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, wherein the search for calculating a maximum edge position through the search module uses a maximum edge amount, According to the starting point marked point and the selected position of the calculated marked point, the maximum edge amount is along the direction of the left and right sides of the I-shaped frame, from the outside of the microvessel to the center of the I-shaped frame. Scan a plurality of pixels, scan to generate the difference in grayscale value between adjacent pixels, add up the grayscale values in the direction of the central axis of the I-shaped frame, and obtain the largest difference in the left side is the largest edge on the left side of the corresponding angle amount, and the largest difference in the right side is the maximum edge amount on the right side of the corresponding angle, wherein the sum of the maximum edge amounts on the left and right sides of the same corresponding angle is the 45-degree punctuation point, the 90-degree punctuation point and the 135-degree A total edge amount of the corresponding angle of the punctuation point, the search module selects the largest total edge amount in a corresponding stage from the total edge amount of the corresponding angles of the 45-degree punctuation point, the 90-degree punctuation point, and the 135-degree punctuation point amount, the advancing direction of the next stage search in the corresponding stage is to advance in the corresponding direction of the maximum total edge amount in the corresponding stage. The microvessel detection device described in item 1 of the scope of the patent application, wherein 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 time difference between the start mark point and the end mark point is the first time difference, the processor calculates the first path length of the continuous mark points, divides the first path length by a blood flow velocity value of the first time difference, and displays it on the display Displays the blood flow velocity value. The microvessel detection device as described in item 1 of the scope of the patent application, wherein the processor scans multiple frames of the digital image into grayscale signals, and marks the two edges of the microvascular diameter from the maximum value of the sum of the grayscale signals on the vertical axis Endpoints, the processor calculates a diameter value of the microvessel from corresponding pixel values of the two edge endpoints of the microvessel on the horizontal axis, and displays the diameter value of the microvessel on the display. A microvessel detection method, which uses the microvessel detection device described in item 1 of the scope of the patent application, wherein the detection step includes: placing a finger to be tested in a finger groove; making a photosensitive coupling element obtain a digital image; displaying the digital image by transmission on 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 in continuous time; wherein, decomposing the digital image as measuring a blood flow velocity of a microvessel value, and its detection steps include: clicking on the starting point marking point and an end point marking point of the white blood cell in the digital image; using an I-shaped frame to search for the path of 45 degree punctuation, 90 degree punctuation and 135 degree punctuation to a maximum edge position; calculate a blood vessel center mark point; from the blood vessel center mark point, through the I-shaped frame, at least one calculated mark point is sequentially marked until the end point mark point; the start point mark point and the end point mark point The time difference is the second time difference, calculate and add up the second path length of the consecutive calculation marked points, divide by a blood flow velocity value of the second time difference; and display the blood flow velocity value on the display; wherein, the maximum edge The search step of the position includes: using a maximum edge amount, the maximum edge amount is marked according to the starting point and the clicked position of the calculated mark point, along the direction of the left and right sides of the I-shaped frame, from A plurality of pixels are scanned from the outside of the microvessel to the center of the I-shaped frame; the gray scale value difference between adjacent pixels is generated by scanning; the gray scale values in the direction of the I-shaped central axis of the I-shaped frame are summed up; The largest difference is the maximum edge amount on the left side of the corresponding angle, and the largest difference in the right side is the maximum edge amount on the right side of the corresponding angle; The sum of the maximum edge amounts on the left and right sides of the same corresponding angle is respectively a total edge amount of the corresponding angles of the 45-degree punctuation, the 90-degree punctuation, and the 135-degree punctuation; the 45-degree punctuation, the 90-degree punctuation and Among the respective total margins of the corresponding angles of the 135-degree punctuation, select the maximum total margin in a corresponding stage; and make the forward direction of the search for the next stage of the corresponding phase be the maximum total margin towards the corresponding phase Move in the corresponding direction of the quantity. In the microvessel detection method described in item 4 of the scope of the patent application, the digital image is decomposed 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 the position of the white blood cell; if the path is found, mark the path and calculate the blood flow velocity value; and if the path cannot be found, display an error, and Go back to the step of selecting the initial position of the white blood cell in the digital image. In the microvessel detection method described in item 4 of the scope of the patent application, 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 the positions of the two edge endpoints in the microvessel, and measuring the diameter of the microvessel; and manually fine-tuning the measurement position, and displaying the value of the diameter of the microvessel on the display. For the microvessel detection method described in item 5 of the scope of the patent application, the digital image is decomposed as 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 starting point marking point, an end point marking point, and at least one tracking point; an average position point of all the tracking points is calculated, each tracking point and the average The angle of the position is sorted according to the angle; the order of the flow of the white blood cells is obtained, and the time difference between the starting point and the end point is the first time difference; the adjacent distances are summed up sequentially to obtain the first path of the microvessel length; a blood flow velocity value obtained by dividing the first path length by the first time difference; and displaying the blood flow velocity value on the display. The microvessel detection method described in item 6 of the scope of the patent application, wherein the steps of finding the two edge endpoints in the microvessel include: scanning the digital image into a grayscale signal to form a grayscale signal value on the vertical axis , the pixel value on the horizontal axis; the maximum value of the sum of the gray-scale signals on the vertical axis, marking the two edge endpoints of the microvascular diameter; the corresponding horizontal axis pixel values of the two edge endpoints of the microvascular diameter, to calculate the microvascular diameter value; and display the diameter value of the microvessel on the display.

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