TWM563247U - Microvascular detection device - Google Patents

Abstract

A microvascular detecting device, wherein a finger to be tested is placed in a finger groove, and a blood flow velocity and a diameter of the microvascular are detected through at least one microvascular image in a subcutaneous tissue of a finger, comprising: a computer having a display and a processor; a photosensitive coupling element, the electrical signal is coupled to the computer; and a microscope lens that captures the microvascular image through the microscope lens, the microvascular image is formed by the photosensitive coupling element into a plurality of frame digital images, wherein the time is continuous The digital image is framed and displayed on the display via the processor.

Description

Microvascular detection device

The present invention relates to a device and a method for detecting a blood vessel of a human body, and more particularly to a microvascular detecting device for detecting a blood flow velocity and a diameter of a blood vessel of a microvessel.

Prior art microvascular testing, such as the Republic of China Patent No. I246910, proposed a method for directly detecting the blood flow velocity of a microvessel and an evaluation device for the microcirculation function. Including the use of infrared light laser microscopy image animation, using the index to select specific microvascular branches in the image, along the microvascular longitudinal calibration analysis range, through continuous animation processing, you can draw an instant red blood cell displacement image. Detecting the slope change of the real-time blood cell displacement image can analyze the displacement velocity change and acceleration of the red blood cell. By synthesizing the microvessel flow velocity at this site and performing statistical analysis, it is possible to observe the difference in characteristics of the microvascular population.

The above-mentioned conventional infrared light laser microscopy apparatus is easy to have errors by means of gray scale determination; further, the calculation path mode is singular, and no other calculation path mode changes are used as a reference; in addition, it is currently used for microvascular detection. Most of the devices are expensive and special instruments, and they cannot be used in general home care.

In view of this, the author is devoted to research and design, and can provide an inexpensive and easy-to-operate device for rapid detection of microvasculature, which is simple and low-cost microscopic camera combined with a general household computer. It can quickly detect the blood flow velocity and diameter of the microvessels, allowing the user to easily assess the blood circulation status at any time, so as to pay attention to maintaining good health.

The main purpose of this creation is to provide a purpose of detecting blood flow velocity and diameter of microvessels by using white blood cell positioning and pixel calculation.

In order to achieve the above object, an embodiment of the present invention is a microvascular detecting device for detecting a blood flow velocity and a tube diameter of the microvessel through 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, the electrical signal is coupled to the computer; and a microscope lens, wherein the microvascular image is captured by the microscope lens, wherein the microvascular image forms a plurality of frame digital images by the photosensitive coupling element, wherein the time is continuous The plurality of frames of the digital image are displayed on the display via the processor.

In one embodiment, the processor calibrates the digital image of the plurality of frames, corresponding to a time-continuous marker point of a white blood cell in the microvessel, including a point marker point and an endpoint marker point, the start point marker point and the The time difference of the end point marked point is the first time difference, the processor calculates the first path length of the continuous continuous marked point, the first path length is divided by the blood flow velocity value of the first time difference, and the blood flow velocity value is displayed on the display. .

In one embodiment, 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 point marker point and an endpoint marker point, the processor having a word The module of the frame includes a 45 degree punctuation, a 90 degree punctuation, and a 135 degree punctuation path to find a maximum edge position, and the processor calculates a blood vessel center marked point, and the blood vessel center marks the point through the work a module of the font frame, which in turn marks at least one calculated mark point until the end point mark point, the time difference between the start point mark point and the end point mark point is a second time difference, and the processor calculates the continuous continuous calculation mark point The second path length is divided by the blood flow rate value of the second time difference, and the blood flow rate value is displayed on the display.

In an embodiment, the processor scans the digital image of the plurality of frames into a gray-scale signal, and the maximum value of the gray-scale signal plus the total value of the vertical axis, and calibrates the two edge ends of the microvascular tube diameter, the processor A diameter value of the microvessel is calculated from a corresponding pixel value of the edge of both edges of the microvessel on the horizontal axis, and the diameter of the microvessel is displayed on the display.

Another embodiment of the present invention is a microvascular detecting method for decomposing the digital image as a blood flow velocity value for measuring a microvessel, wherein the detecting step comprises: selecting a white blood cell starting position of the digital image; Outputting the position of the same white blood cell in the continuous digital image, and clicking the position of the white blood cell, searching for the path, indicating the path and calculating the blood flow velocity value; and searching for the path, displaying an error and re-displaying Go back to the step of selecting the white blood cell start position in the digital image.

In one embodiment, the digital image is decomposed to measure a diameter of a microvessel, wherein the detecting step includes: selecting any position in the microvessel in the digital image; Positioning the two end points of the microvessels and measuring the diameter of the microvessel; and manually fine-tuning the measurement position and displaying the diameter of the microvessel on the display.

In one embodiment, the detecting method decomposes the digital image as a blood flow velocity value for measuring a microvessel, wherein the position of the same white blood cell in the time-continuous digital image is marked as a point marking point together And an endpoint marker point and at least one tracking point, calculating an average position point of all the tracking points, and the angles of the tracking points and the average position are sorted according to an angle to obtain an order of the white blood cells flowing through, the starting point marking point and The time difference of the end point marked point is the first time difference, and the adjacent distance is sequentially added to obtain the first path length flowing through the micro blood vessel, and the first path length is divided by the blood flow velocity value of the first time difference; and the display is The blood flow rate value is displayed.

In one embodiment, the digital image is decomposed as a blood flow velocity value for measuring a micro blood vessel, wherein the detecting step further includes: selecting a point marking point of the white blood cell in the digital image and a point End point marker point; using a I-shaped frame, searching for a maximum edge position with a 45-degree punctuation, a 90-degree punctuation, and a 135-degree punctuation; calculating a blood vessel center marking point; marking the point from the blood vessel center The I-shaped frame sequentially marks at least one calculated mark point until the end point marks the point; the time difference between the start point mark point and the end point mark point is the second time difference, and the second path length of the calculated mark point is calculated continuously. Dividing the blood flow rate value by the second time difference; and displaying the blood flow rate value on the display.

In one embodiment, the detecting method finds the position of the end points of the two edges in the microvessel, and the step includes: forming a gray-scale signal by scanning the digital image to form a gray-scale signal value of the vertical axis, and a pixel value of the horizontal axis; The maximum value of the gray-scale signal of the vertical axis is added to the maximum value of the edge of the microvascular tube; the pixel value of the corresponding horizontal axis of the end point of the edge of the microvascular tube is calculated, and the diameter of the microvessel is calculated; The display shows the diameter of the microvessel.

This "New Content" introduces selected concepts in a simplified form and will be further described in the "Implementation" below. This “new content” is not intended to identify key features or essential features of the patent application, nor is it intended to limit the scope of the patent application.

Figure 1 is a schematic diagram of the authoring device. In one embodiment, the present invention provides a microvascular detecting device for detecting a blood flow velocity and a diameter of a blood vessel 21 via at least one microvascular 21 image in a subcutaneous tissue of a finger. The present apparatus includes: a computer 11 and a photosensitive device. A charge-coupled device 13 (CCD), and a microscope lens 14. The computer 11 has a display 12 and a processor 17; the photosensitive coupling element 13 is electrically connected to the computer 11, for example, using a USB interface of a communication transmission interface, an IEEE 1394 interface, an Ethernet interface, and a CVBS plus image. Capture the card interface, etc. The microscope lens 14 has a function of magnifying the microscopic image, and the microvessel 21 image is captured by the microscope lens 14. The microvascular 21 image is formed by the photosensitive coupling element 13 into a plurality of frames of digital images, wherein the digital image is continuous in a plurality of frames. Displayed on the display 12 via the processor 17.

As shown in FIG. 2 and FIG. 3, the processor 17 calibrates the digital image of the plurality of frames, corresponding to the time-continuous marker points of a white blood cell 22 in the microvessel 21, including a point marker point 81 and an endpoint marker point 82. The time difference between the point 81 and the end point designation point 82 is the first time difference, and the processor 17 calculates the first path length of the total continuous marked point, and divides the first path length by the blood flow rate value of the first time difference on the display. 12 shows the blood flow rate value.

Figure 4 and Figure 5 show the display structure of the two blood flow velocity values. Figure 4 shows the analytical path of the white blood cell 22, finds the white blood cells 22 of the selected blood vessels in the exploded view, and analyzes the flow path. . And Figure 5 shows the path of the creation along the edge of the microvascular 21. Starting from a point in the microvessel 21, along the edge of the microvessel 21, another spot is found. The total time is obtained from the length of the flow path and the total number of images of the decomposed digital image so that the flow rate of the blood flow can be calculated.

Figure 6 is a schematic view of the measuring tube diameter. For the present embodiment, the function display screen displayed on the display 12 via the processor 17 includes displaying the diameter of the microvessel 21, and fine-tuning the left border of the first line 24 of the left, fine-tuning the right ( The border value of the second line 25 of the right) and the position of the first line 24 and the second line 25 are selected by the mouse, and the processor 17 calculates the diameter of the microvessel 21, and the screen is shown in FIG. The function of the display 12 is shared with steps S71, S72, and S73 in FIG. Displayed at the lower end of the function display screen of the display 12 is an option of the graphic function interface.

Fig. 7 shows, in another embodiment, a step diagram of the blood flow velocity detecting method of the present microvascular 21. The detecting step includes: in step S1, a finger 16 to be tested is placed in a finger slot 15; in step S2, a photosensitive coupling element 13 obtains a digital image; and in step S3, the digital image is displayed in a transmission. a display 12 of the computer 11; in step S4, the position of the finger 16 and the focal length of a microscope lens 14 are adjusted according to the digital image of the display 12; and in step S5, the digital image is captured and the digital image is decomposed according to continuous time.

As shown in FIG. 7, in step S6, function selection, the digital image is decomposed and used as a blood flow velocity value for measuring a microvessel 21. The detecting step includes: step S81, selecting a white blood cell in the digital image. 22 initial position; step S82, finding the position of the same white blood cell 22 in the digital image consecutively, and clicking the position of the white blood cell 22; step S85, searching for the path, indicating the path and calculating the blood flow velocity Value; and in step S84, if the path is not found, an error is displayed and the step of clicking the starting position of the white blood cell 22 in the digital image is returned.

As shown in FIG. 7 , the digital image is decomposed by step S6 to select a diameter value of a micro blood vessel 21, wherein the detecting step includes: step S71, selecting the micro blood vessel 21 in the digital image. Any position in the interior; step S72, finding the position of the end points of the two blood vessels 21, and measuring the diameter of the microvessel 21; and step S73, manually fine-tuning the measurement position, and displaying the tube of the micro blood vessel 21 The diameter is on the display 12.

As shown in FIG. 7 to FIG. 10, the digital image is decomposed as a blood flow velocity value for measuring a microvessel 21, wherein the position of the same white blood cell 22 in the time-continuous digital image is marked as a point marker point together. 81 and an end point 82, and at least one tracking point, as shown in FIG. 10, the first tracking point 102, the second tracking point 103, and the sixth tracking point 107; calculating an average position point 101 of all the tracking points, The angles of the tracking points and the average position are sorted according to the angle; the order of the white blood cells 22 flowing through is obtained, and the time difference between the starting point marking point 81 and the ending point marking point 82 is the first time difference; and the adjacent distances are sequentially added to obtain The first path length flowing through the microvessel 21; the first path length divided by the blood flow rate value of the first time difference; and the blood flow rate value displayed on the display 12.

In Fig. 9, the selection of the same white blood cell 22 is performed by image analysis of the difference in gray scale between the exploded views, finding the position of all the white blood cells 22 therebetween, and removing the white blood cells 92 outside the selected range.

In Figure 8, the user selects the starting point of the white blood cell 22 of the decomposition picture, and selects the end point of the white blood cell 22 in the subsequent several decomposition pictures. According to the performance of the computer 11, after the video is compressed, the frame rate can be known from the digital image file. The following is a frame rate of 25 frames per second. For example: 1/25 of each frame, 9 digital images of the exploded view, and 8/25 seconds between the head and the tail. In Fig. 10, it is assumed that the 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=111.801024μm, the digital image captured by the microscope lens 14 has 25 digital images per second, thereby calculating the time difference between the start point marker point 81 and the end point marker point 82 as the first time difference, so the second path length is divided by For the first time difference, the blood flow rate can be calculated, [96 pixels / (8/25 sec)] X 1.164594 μm / pixel = 349 μm / sec ≒ 0.35 mm / sec.

In Figs. 11 to 9, the I-shaped frame 88 of the present embodiment calculates the blood flow velocity value. The creation decomposes the digital image as a blood flow velocity value of the microvessel 21, wherein the detecting step further includes: as shown in FIG. 11, clicking the point 81 and the point of the white blood cell 22 in the digital image The end point is marked 82; as shown in FIG. 12 to FIG. 13C, an I-shaped frame 88 is used, with a 45 degree punctuation point of 87, a 90 degree punctuation point 86, and a 135 degree punctuation point 85, as shown in FIG. An edge position 89; as shown in FIG. 14, a blood vessel center marker point 90 is calculated; a point 90 is indicated by the blood vessel center, and at least one calculated marker point 91 is sequentially indicated via the I-shaped frame 88, as shown in FIG. 15 to FIG. Until the end point is marked 82; the time difference between the start point mark point 81 and the end point mark point 82 is the second time difference, and as shown in FIG. 18, the second path length of the calculated mark point 91 is calculated and divided by the second time. A blood flow rate value of the time difference; and the blood flow rate value is displayed on the display 12.

As shown in FIG. 12, it is searched by the lower starting point 81 or the ending point 82, and the initial search direction is an upward 90 degree direction. For this creation, the 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 FIGS. 13A to 13C, at the three-point position. From left to right, the position is 135, 90, 45 degrees forward. The I-shaped frame 88 is a 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 maximum edge amount is defined as an arrow along the left and right sides of the I-shaped type of the I-shaped frame 88 according to the selected position. The direction is to scan a range of pixels from the outside of the blood vessel to the center. The scanning method first generates a grayscale value difference between adjacent pixels, and adds the grayscale values of the axial direction of the I-shaped frame of the I-shaped frame 88. As a result, a graph of the left and right sides of the I-shaped frame of the I-shaped frame 88 is obtained, and the slope peak in the left and right side curves is found, that is, the maximum difference is the maximum edge amount (Lmax) of the left side of the angle, and the maximum edge of the right side. Quantity (Rmax).

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

The I-shaped frame 88 has a maximum edge amount on each side, and the sum of the maximum edge amounts on both sides is the total edge amount of the angle. Assuming that the maximum total edge amount at this stage is 90 degrees, the direction of this stage advances to 90 degrees, as shown in FIG. In Fig. 14, the 90 degree punctuation 86 is a candidate position in the 90 degree direction. The algorithm will adjust the candidate coordinates according to the position of the maximum edge amount on both sides, that is, the maximum edge position 89, and in FIG. 14, the 90 degree punctuation 86 is adjusted to the blood vessel center mark point 90 toward the blood vessel center direction. Finally, the blood vessel center marking point 90 is the position of the next open search point found in this stage, and the next candidate position is to open the search point with the blood vessel center marking point 90, and continue to the 135. Search in the 90, 45 degree direction.

As shown in Figure 15. Calculating step by step in the direction of 90 degrees, the search point can be opened with the blood vessel center mark point 90, and the direction of the maximum total edge amount is successively found, and the forward calculation points the position of the point 91. As shown in Figs. 16A to 16C, the search for the point 91 is started by the calculation of the initial search, and the search of the I-shaped frame 88 is repeated, and the search direction is the upward 90-degree direction. The algorithm of this creation, the rotation angle of each step is +/- 45 degrees. Therefore, the candidate positions of the next step shown in FIGS. 16A to 16C are 135, 90, 45 degrees, and the three positions shown in FIGS. 16A to 16C include: 45 degree punctuation 87, 90 degree punctuation 86, and 135 degrees. The location of punctuation 85. From left to right, the position is 135, 90, 45 degrees forward.

The I-shaped frame 88 is used as a search range, and the maximum edge amount of the angle is calculated from the outside of the blood vessel toward the center. Wherein, the maximum edge amount is defined by the direction of the arrow on the left and right sides of the I-shaped type of the I-shaped frame 88, and the range of pixels (pixels) is scanned from the outside of the blood vessel to the center, and the scanning method first generates the proximity. The grayscale value difference between the pixels is added, and the grayscale values of the I-axis direction of the I-shaped frame 88 are added together, and the left and right sides of the I-shaped frame of the I-shaped frame 88 are obtained, and the left and right curves are found. The slope, which is the maximum difference, is the maximum edge amount (Lmax) on the left side of the angle and the maximum edge amount (Rmax) on the right side.

The sum of the maximum edge amounts on the left and right sides (Lmax + Rmax) is the total edge amount of this angle. In the embodiment of Fig. 16A, the maximum edge amount (Rmax) of the right side of 135 degrees = 473, and the maximum edge amount (Lmax) of the left side = 29, and therefore, the total edge amount of 135 degrees is 473 + 29 = 502. In the embodiment of Fig. 16B, the maximum edge amount (Rmax) of the right side of 90 degrees = 701, the maximum edge amount (Lmax) of the left side = 540, and the total edge amount of 701 + 540 = 1241 of 90 degrees. In the embodiment of Fig. 16C, the maximum edge amount (Rmax) of the right side of 45 degrees = 758, and the maximum edge amount (Lmax) of the left side = 979, therefore, the total edge amount of 45 degrees is 758 + 979 = 1737. From the above calculation, the total edge amount of 45 degrees is greater than the total edge amount of 90 degrees, and the total edge amount of 90 degrees is greater than the total edge amount of 135 degrees, so the maximum total edge amount is the value of the total edge amount of 45 degrees, that is, 1737. Since the maximum total edge amount at this stage is a value of 45 degrees, that is, 1737, the direction of this stage advances toward the maximum total edge amount, that is, 45 degrees.

As shown in Figs. 16A to 16C, the I-shaped frame 88 is a search range, and the edge amount of the angle is calculated from the outside of the blood vessel toward the center of the double arrow in the direction of the double arrow. The I-shaped frame 88 has a maximum edge position 89 on each side, and the sum of the maximum edge positions 89 on both sides is the total edge amount of the angle. Assuming that the maximum total edge amount at this stage is 45 degrees, the direction of this stage advances to 45 degrees, as shown in FIG.

In Fig. 17, the candidate position in the 45 degree direction is the 45 degree punctuation 87. Assuming that the maximum edge position 89 is formed on both sides, the algorithm adjusts the 45 degree punctuation 87 of the candidate coordinates to the blood vessel center point 90 according to the maximum edge position 89 on both sides. Finally, the blood vessel center marking point 90 is the position of the starting point of the next point found in this stage, and the next candidate position is to open the search point with the blood vessel center marking point 90, and continue to 135, 90, 45. Search in the direction.

In Fig. 18, in accordance with the above method, the position is advanced step by step to the next calculated position, and the traveling direction is adjusted until the end point of the end point region is marked 82, that is, the trajectory of the microvessel 21 is found.

In Figure 11, the user selects the starting point of the white blood cell 22 of the decomposition picture, and selects the end point of the white blood cell 22 in the subsequent several decomposition pictures. According to the performance of the computer 11, after the video is compressed, the frame rate can be known from the digital image file. The following is a frame rate of 25 frames per second. For example: 1/25 of each frame, 9 digital images of the exploded view, and 8/25 seconds between the head and the tail. In Fig. 18 and Fig. 19, it is assumed that the path length is calculated to be 86 pixels, 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, thereby calculating the time difference between the start point marker point 81 and the end point marker point 82 as the second time difference, so the second path By dividing the length by the second time difference, the blood flow rate can be calculated, 86 pixels / (8/25 sec) multiplied by 1.164594 μm / pixel = 294 μm / s = 0.29 mm / s.

In FIG. 20, the positions of the end points of the two edges in the microvessel 21 are found, and the steps include: forming a gray-scale signal by scanning the digital image to form a vertical-axis gray-scale signal value, a horizontal-axis pixel value, and a vertical-axis gray-scale signal. Adding a total value, calibrating the two edge endpoints of the microvascular 21 diameter; the corresponding horizontal axis pixel values of the two edge endpoints of the microvascular 21 diameter, calculating the diameter of the microvascular 21; and the display 12 This diameter value of the microvessel 21 is displayed.

In Fig. 20, according to the selected position, 16 pixels (pixel) are scanned on the left and right sides, and the square range is ranged. If the automatic scanning is not performed to the left and right, the scanning method first generates the grayscale value difference between the pixels, and the result is as shown in FIG. In the first distribution map 110 and the second distribution map 120, the inter-pixel grayscale value difference distribution map is further added to the grayscale values in the vertical direction, and as a result, the first graph 111 and the second graph in FIG. 20 are obtained. 121 graph. Find the peak in the curve, the maximum value of the difference in the figure, that is, the edge of the microvessel 21, according to the microscope lens 14, the digital image captured, the pixel ratio is 1.164594 μm / pixel, the left slope in Figure 20, in the first At 7 pixels (pixel), the right side is at the 10th pixel (pixel), so a total of 16 pixels (pixel). The diameter of the microvessel 21 was calculated to be 16 pixels (pixel) multiplied by 1.164594 μm/pixel equal to 18.6 μm.

Although the present invention has been disclosed in the above embodiments, it is not intended to limit the present invention. Anyone who is familiar with the technology can protect the creation of the creation without any deviation from the spirit and scope of the creation. The scope is subject to the definition of the patent application scope attached to the attached.

11‧‧‧ computer
12‧‧‧ display
13‧‧‧Photosensitive coupling element
14‧‧‧Microscope lens
15‧‧‧ finger slot
16‧‧‧ fingers
17‧‧‧Processor
21‧‧‧microvascular
22‧‧‧White blood cells
24‧‧‧1st marking
25‧‧‧2nd marking
81‧‧‧ starting 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 Marking Point
91‧‧‧ Calculate the marked points
White blood cells outside the range of 92‧‧
101‧‧‧ average position point
102‧‧‧1st tracking point
103‧‧‧2nd tracking point
104‧‧‧3rd tracking point
105‧‧‧4th tracking point
106‧‧‧5th tracking point
107‧‧‧Sixth Tracking Point
110‧‧‧1st distribution map
111‧‧‧1st graph
120‧‧‧2nd distribution map
121‧‧‧2nd graph

Figure 1 is a schematic diagram of the authoring device. Figure 2 is a schematic diagram of the starting point of the creation. Figure 3 is a schematic diagram of the marking point of the creation end point. Figure 4 is a schematic diagram of the white blood cell analysis path of the creation. Figure 5 is a schematic illustration of the path of analysis along the edge of a blood vessel. Figure 6 is a schematic view of the diameter of the measuring tube. Fig. 7 is a step chart of the method for detecting the blood flow velocity of the microvascular blood flow. FIG. 8 is a schematic diagram of an exploded view of a white blood cell analysis path. Fig. 9 is a step chart of the method for detecting the blood flow velocity of the microvascular blood flow. Figure 10 is a schematic diagram showing the length of the flow path by the angle of the average position. Figure 11 is a schematic exploded view of the creation of a path along the edge of a blood vessel. Figure 12 is the initial search path for the path of the blood vessel edge analysis. FIG. 13A is a schematic diagram of a 135 degree search of the original I-shaped frame. FIG. 13B is a schematic diagram of a 90 degree search of the original I-shaped frame. FIG. 13C is a schematic diagram of a 45 degree search of the original I-shaped frame. FIG. 14 is a schematic diagram of center positioning of the maximum edge position of the creation. Figure 15 is a schematic illustration of the advancement of the creative path along the edge of the vessel. FIG. 16A is a schematic diagram of a 135 degree search of the original I-shaped frame. FIG. 16B is a schematic diagram of a 90 degree search of the original I-shaped frame. FIG. 16C is a schematic diagram of a 45 degree search of the original I-shaped frame. Figure 17 is a schematic diagram of the center position of the maximum edge position of the creation. Figure 18 is a trajectory diagram of the path of the blood vessel edge analysis. Figure 19 is a schematic diagram of the calculation of blood flow velocity along the analytical path along the edge of the blood vessel. Figure 20 is a schematic diagram of the measurement of the pipe diameter.

Claims (4)

A microvascular detecting device detects blood flow velocity and diameter of a microvascular through at least one microvascular image in a subcutaneous tissue of a finger, comprising: a computer having a display and a processor; a photosensitive coupling element, electrical The signal is connected to the computer; and a microscope lens is used to capture the microvascular image through the microscope lens, the microvascular image is formed by the photosensitive coupling element to form a plurality of frame digital images, wherein the digital image is displayed in a plurality of consecutive frames The display. The microvascular detecting device according to claim 1, wherein the processor calibrates the plurality of frames of the digital image, corresponding to a time-continuous marking point of a white blood cell in the microvessel, including a point marking point and an ending point marking point, The time difference between the start point marker point and the end point marker point is a first time difference, and the processor calculates a first path length that adds the consecutive marked points, and the first path length is divided by the first time difference of a blood flow rate value, and the display is on the display. The blood flow rate value is displayed. The microvascular detecting device according to claim 1, wherein the processor calibrates the plurality of frames of the digital image, corresponding to a time-continuous marking point of a white blood cell in the microvessel, including a point marking point and an ending point marking point, The processor has a search module of an I-shaped frame, including a 45 degree punctuation, a 90 degree punctuation, and a 135 degree punctuation path to search for a maximum edge position, the processor calculates a blood vessel center marking point, The blood vessel center mark points, through the search module of the I-shaped frame, sequentially mark at least one calculated mark point until the end point mark point, and the time difference between the start point mark point and the end point mark point is a second time difference, The processor calculates a second path length of the continuous calculated point of the calculated point, and divides the value of the blood flow rate by the second time difference, and displays the blood flow rate value on the display, wherein the maximum edge is calculated by the search module The search of the position uses a maximum edge amount, which is marked according to the starting point and the selected position of the calculated marked point, along the work The direction of the left and right sides of the I-shaped frame of the frame, scanning a plurality of pixels from the outside of the microvessel to the center of the I-shaped frame, and scanning generates a difference in grayscale values between adjacent pixels, and the I-shaped frame of the I-shaped frame The gray scale values in the direction of the middle axis of the type are summed to obtain the maximum edge amount on the left side of the corresponding angle at the maximum difference in the left side, and the maximum edge amount on the right side of the corresponding angle where the difference in the right side is the largest, wherein the same corresponding angle The sum of the maximum edge amounts on the left and right sides is a total edge amount of the 45 degree punctuation, the 90 degree punctuation and the corresponding angle of the 135 degree punctuation, and the search module selects the 45 degree punctuation, the 90 degree punctuation, And the total edge amount of the corresponding angle of the corresponding angle of the 135 degree punctuation, the largest total amount of the edge in the corresponding phase is selected, and the forward direction of the next stage of the corresponding phase is the maximum total amount of the edge to the corresponding phase Go in the corresponding direction. The microvascular detecting device according to claim 1, wherein the processor scans the plurality of frames of the digital image into a gray-scale signal, and the vertical axis gray-scale signal adds a total value to the maximum value, and calibrates the two edges of the microvascular tube diameter. An end point, the processor calculates a diameter value of the microvessel from a corresponding pixel value of the edge of the two edges of the microvessel on the horizontal axis, and displays the diameter value of the microvessel on the display.