CN111598883B - Calibration label equipment for acquiring cloud data medical images and working method - Google Patents
Calibration label equipment for acquiring cloud data medical images and working method Download PDFInfo
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Abstract
The invention discloses calibration label equipment for acquiring cloud data medical images and a working method thereof, which comprise an equipment main body, wherein a display screen is fixedly arranged at the top of the front surface of the equipment main body, a scanner fixedly connected with the equipment main body is arranged in the middle of the bottom end of the display screen, a voice broadcasting device fixedly connected with the equipment main body is arranged at one side of the bottom end of the display screen, a first mounting groove is formed in the middle of the front surface of the equipment main body, a keyboard is embedded in the first mounting groove, a second mounting groove is formed in the groove wall at the top end of the first mounting groove, a plurality of hair rollers are rotatably connected with the groove walls at the two sides of the second mounting groove through embedded bearings, and the bottom ends of the hair rollers are in contact connection with the top ends of the keyboard. According to the cloud medical image acquisition system, the data medical images to be acquired are conveniently input through the keyboard or the scanner, the medical image data of the cloud is acquired through the server, the medical image data of the cloud is cleaned and screened through the server, and the accuracy of acquiring the medical image data is guaranteed.
Description
Technical Field
The invention relates to the field of medicine, in particular to calibration label equipment for acquiring cloud data medical images and a working method.
Background
Medical imaging refers to techniques and procedures for non-invasively acquiring an image of internal tissue of a human body or a portion of a human body for medical or medical research. It contains the following two relatively independent directions of investigation: the medical imaging system and medical image processing, the former refers to the image formation process, and comprises the research on problems such as imaging mechanism, imaging equipment, imaging system analysis and the like; the latter refers to further processing of the already obtained image with the purpose of either restoring the original insufficiently sharp image, or highlighting some characteristic information in the image, or pattern classification of the image, etc.
The current medical image data is generally obtained through the cloud, but at present, when obtaining the cloud data, the medical image data is not screened and cleaned, so that the obtained medical image data is complex and difficult to observe, meanwhile, the existing medical image is not limited to a film in the printing process, and the film is easy to shift in the printing process, so that the obtained medical image data is required to be obtained again, the operation is complex, and the resource is wasted.
Disclosure of Invention
The invention aims to provide calibration label equipment for acquiring cloud data medical images and a working method thereof, so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: the utility model provides a mark label equipment and working method of obtaining cloud data medical image, includes the equipment main part, the positive top fixed mounting of equipment main part has the display screen, the middle part of display screen bottom is equipped with the scanner with equipment main part fixed connection, one side of display screen bottom be equipped with equipment main part fixed connection's voice broadcast ware, the positive middle part of equipment main part has seted up first mounting groove, the inside of first mounting groove has inlayed the keyboard, the second mounting groove has been seted up to the top cell wall of first mounting groove, the both sides cell wall of second mounting groove is connected with a plurality of hair rollers through the bearing rotation that inlays and establishes, a plurality of the bottom of hair roller is connected with the top contact of keyboard, one side cell wall equidistance fixed mounting of first mounting groove has a plurality of first spacing springs, a plurality of one side contact connection of first spacing spring, the equal fixed mounting in both sides of keyboard has the block mechanism, the positive bottom of equipment main part has seted up the standing groove, the inside of standing groove has inlayed the box, the inside of standing box has inlayed and has print a plurality of hair rollers, one side wall fixed mounting has the film chute.
Preferably, the clamping mechanism comprises a second limit spring, grooves are formed in corners of two sides of the keyboard, the second limit spring is fixedly mounted on one side groove walls of the grooves, protruding blocks are fixedly mounted at one ends of the second limit springs, arc-shaped grooves matched with the protruding blocks are formed in two side groove walls of the first mounting groove, and the protruding blocks are connected with the corresponding arc-shaped grooves in an embedded mode.
Preferably, the stop gear package piece is two electric putter, two electric putter's one end and spout one side cell wall fixed connection, two electric putter's other end fixed mounting has the mount, the both sides of mount inner wall are rotated through the bearing of inlaying and are connected with a plurality of spacing gyro wheels, a plurality of the equal fixed mounting of one end of spacing gyro wheel has the gear, and a plurality of the transmission is connected with the chain between the gear, one side fixed mounting of mount inner wall has driving motor, driving motor's output shaft rather than the one end fixed connection of the spacing gyro wheel of corresponding position department.
Preferably, transparent dustproof films are adhered to the surfaces of the display screen and the scanner.
Preferably, the device main body is provided with a piece taking groove on the front side and between the keyboard and the placement box, and anti-skidding lines which are uniformly distributed are formed in the piece taking groove.
Preferably, universal wheels with brake sheets are fixedly arranged at four corners of the bottom end of the equipment main body.
Preferably, a power line is fixedly installed at the bottom of the back of the equipment main body, and the equipment main body is electrically connected with an external power supply through the power line.
The invention also discloses a working method for obtaining the calibration label of the cloud data medical image, which comprises the following steps:
s1, acquiring cloud data medical image data, and performing initial screening on the medical image data;
s2, transmitting the medical image data screened in the initial stage to a server, and enabling the server to generate a transmitted request to a cloud;
s3, the cloud end cleans and screens the data of the data medical image with the request, and performs label calibration according to different types, so that the accuracy of the calibrated label data is ensured;
s4, transmitting the medical image data with the calibration label to a display screen (2) for displaying, broadcasting through a voice broadcasting device (3), printing the medical data image on the surface of a film through printing equipment installed inside the equipment main body (1), and obtaining the data medical image calibration label.
The step S3 comprises the following steps:
s3-1, extracting features of the medical image boundaries of the calibration labels after preliminary screening; the boundary of the extracted calibration label medical image is a closed area, a binarization numerical vector with equal pixel values is constructed for the closed area, the initial value is 0, the boundary extracted from the calibration label medical image after preliminary screening and the outline of which the whole content is marked as the boundary in the binarization numerical vector,
s3-2, performing lossless compression on pixel values in the extracted boundary outline, and storing the compressed pixel values in a cloud database; continuing to scan the medical image data in the outline range, marking the noise medical image data which is not in the scanning range, cutting the identified medical image data, and processing the split and cut medical image data through parallel processing; positioning the boundary of the medical image data;
s3-3, determining RGB in pixel values of medical image data, converting RGB into XYZ coordinate image, calculating texture feature extraction values after X weighting, Y weighting and Z weighting,
wherein k (i, j) is all medical image data after boundary positioning, S i,j Cutting image for boundary positioning medical image data after gray level adjustment is completed, L i,j After the gray level adjustment is completed, the boundary-positioned medical image data characteristic image is characterized in that lambda is the medical image amplification coefficient after boundary positioning, mu is the medical image adjustment coefficient of the label to be calibrated and M i Window width for image frame in medical image data, u i N is the adjustment coefficient of window width of image frame in medical image data j Window level for image frame in medical image data, u j C is an adjustment coefficient of window level of image frame in medical image data i,j For the quantification number of the gray level of the medical image data, beta is the weight of the medical image data positioned by the boundary, P i For calibrating training sample of label medical image data window width gray level sigma i Adjusting threshold value for training sample for calibrating window width gray level of label medical image data, P j For calibrating training sample of label medical image data window level gray level sigma j The threshold is adjusted for the training samples for calibrating the gray level of the window level of the tag medical image data,
i and j are gray levels of medical image data, and the dynamic range of the gray levels is more than or equal to 0 and less than or equal to 255.
Preferably, the step S3 further includes the following steps:
the medical image is subjected to boundary positioning detection, so that a boundary positioning result of medical image data is obtained, namely whether the acquired medical image data is correct or not; preparing for a calibration label for medical image data, firstly, reading a gray value of each pixel point in the boundary-positioned medical image data, then, extracting a standard calibration label medical image from a cloud database according to the inspection type and the inspection position of the boundary-positioned medical image, then, evaluating the correct boundary-positioned medical image data in the medical image, calculating the edge strength and the peak signal-to-noise ratio of the boundary-positioned medical image, thereby obtaining a quality evaluation index of the boundary-positioned medical image, performing calibration label operation according to the quality evaluation index and a specified medical image data standard threshold value, performing smoothing and continuous processing by using a Gaussian operator, judging a mathematical model of the quality of the boundary-positioned medical image, calculating the spatial resolution of the calibration label by the medical image, wherein the higher the spatial resolution is, the more accurate the calibration label medical image is, the clearer the edge is, the higher the edge strength Sum value is, and inaccurate, otherwise, repeatedly extracting and collecting to obtain the final calibration label medical image data, and ending the evaluation of the cloud image data.
The invention has the technical effects and advantages that:
(1) The data medical image to be acquired is conveniently input through the keyboard or the scanner, the medical image data of the cloud end is acquired through the server, and the medical image data of the cloud end is cleaned and screened through the server, so that the accuracy of acquiring the medical image data is ensured;
(2) Through the stop gear of installation, promote the removal of mount through electric putter, remove through the mount and drive spacing gyro wheel and remove, be convenient for carry out spacing fixedly to the film of printing through spacing gyro wheel, guarantee to print the film and print the position alignment of position, avoid printing the in-process film and take place the skew, cause data medical image to show incompletely, influence medical image's observation;
(3) The keyboard carries out the block through block mechanism and first mounting groove, through the removal of first spacing spring control keyboard of first mounting groove one side cell wall installation, inlay the keyboard and establish the inside at first mounting groove when not using of being convenient for, avoid the keyboard to receive external force collision to cause the keyboard to damage, simultaneously through second mounting groove internally mounted's hair roller, be convenient for clear up the surface of keyboard, avoid the dust to fall on the surface of keyboard, influence the life of keyboard.
(4) Based on the medical image data in disease diagnosis and treatment through cloud data, the medical image data are screened and enhanced, the defect image is deleted according to the characteristics that the medical image is a gray level image and the outline level is clear, the characteristic points in the medical image data are gradually extracted, the medical image is marked in a label marking process, the judgment process is not interfered by artificial subjective factors, and the marking, screening and evaluation of massive medical images are facilitated. The lossless compression method is realized, the compression ratio of medical image compression is improved, and the reducibility of the calibration label of medical image data is ensured due to the particularity of the application field of the medical image.
Drawings
FIG. 1 is a schematic diagram of the structure of the present invention.
Fig. 2 is a schematic cross-sectional top view of the present invention.
Fig. 3 is a schematic side view of the fixing frame of the present invention.
Fig. 4 is a schematic top view of a first mounting groove according to the present invention.
Fig. 5 is an enlarged view of fig. 4A in accordance with the present invention.
FIG. 6 is a schematic cross-sectional view of a first mounting groove according to the present invention.
FIG. 7 is a block diagram of a system according to the present invention.
Fig. 8 is a flow chart of the operation of the present invention.
In the figure: 1. an apparatus main body; 2. a display screen; 3. a voice broadcast device; 4. a scanner; 5. a first mounting groove; 6. a keyboard; 7. a slice taking groove; 8. a placement groove; 9. a handle; 10. placing a box; 11. a universal wheel; 12. a power line; 13. a chute; 14. a fixing frame; 15. limiting idler wheels; 16. an electric push rod; 17. a gear; 18. a chain; 19. a driving motor; 20. a first limit spring; 21. a bump; 22. an arc-shaped groove; 23. a groove; 24. a second limit spring; 25. a second mounting groove; 26. and (5) a hair roller.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention provides a calibration label device for acquiring cloud data medical images and a working method thereof as shown in figures 1-8, which comprises a device main body 1, wherein a display screen 2 is fixedly arranged at the top of the front surface of the device main body 1, a scanner 4 fixedly connected with the device main body 1 is arranged in the middle of the bottom end of the display screen 2, transparent dustproof films are adhered to the surfaces of the display screen 2 and the scanner 4, the display screen 2 and the scanner 4 are effectively protected through the adhered transparent dustproof films, a voice broadcasting device 3 fixedly connected with the device main body 1 is arranged at one side of the bottom end of the display screen 2, the calibration label of the medical images is conveniently broadcasted in the acquisition process through the voice broadcasting device 3, a first mounting groove 5 is arranged in the middle of the front surface of the device main body 1, a keyboard 6 is embedded in the first mounting groove 5, a second mounting groove 25 is arranged at the top groove wall of the first mounting groove 5, the groove walls on two sides of the second mounting groove 25 are rotationally connected with a plurality of hair rollers 26 through embedded bearings, the bottom ends of the hair rollers 26 are in contact connection with the top end of the keyboard 6, the surface of the keyboard 6 is conveniently cleaned through the mounted hair rollers 26 in contact with the surface of the keyboard 6, dust is prevented from being deposited on the surface of the keyboard 6, a plurality of first limit springs 20 are fixedly mounted on the groove walls on one side of the first mounting groove 5 at equal intervals, one ends of the first limit springs 20 are in contact connection with one side of the keyboard 6, clamping mechanisms are fixedly mounted on two sides of the keyboard 6, a placing groove 8 is formed in the bottom of the front face of the equipment main body 1, a placing box 10 is embedded in the placing box 8, printing films are embedded in the placing box 10, a handle 9 is fixedly mounted on one side of the placing box 10, sliding grooves 13 are formed in the groove walls on two sides of the placing groove 8, and a limiting mechanism is fixedly arranged inside each of the two sliding grooves 13.
The clamping mechanism includes a second spacing spring 24, grooves 23 are formed in corners of two sides of the keyboard 6, a second spacing spring 24 is fixedly mounted on one side groove walls of the two grooves 23, a lug 21 is fixedly mounted on one end of each of the two second spacing springs 24, arc grooves 22 matched with the lug 21 are formed in two side groove walls of the first mounting groove 5, the two lugs 21 are embedded and connected with the corresponding arc grooves 22, and the keyboard 6 is conveniently fixed in the first mounting groove 5 through the clamping mechanism.
The stop gear package piece two electric putter 16, the one end and the chute 13 one side cell wall fixed connection of two electric putter 16, the other end fixed mounting of two electric putter 16 has mount 14, the both sides of mount 14 inner wall are rotated through the bearing of inlaying and are connected with a plurality of spacing gyro wheels 15, the equal fixed mounting of one end of a plurality of spacing gyro wheels 15 has gear 17, the transmission is connected with chain 18 between a plurality of gears 17, one side fixed mounting of mount 14 inner wall has driving motor 19, driving motor 19's output shaft and the one end fixed connection of the spacing gyro wheel 15 of its corresponding position department, limit arrangement through the stop gear of installation, be convenient for carry out spacing arrangement to the film of printing, avoid taking place the skew at the in-process film of printing, cause the medical image data of acquireing to take place the deficiency.
The device main part 1 openly just is located keyboard 6 and places and has offered between the box 10 and get piece groove 7, get the inside of piece groove 7 and offered evenly distributed's anti-skidding line, through getting piece groove 7 of seting up, be convenient for take out the medical science image film of printing, four equal fixed mounting in corners of device main part 1 bottom have the universal wheel 11 that has the piece of stopping, through the universal wheel 11 of installation, the removal of device main part 1 of being convenient for, the bottom fixed mounting at device main part 1 back has power cord 12, device main part 1 passes through power cord 12 and external power supply electric connection.
The artificial selection keyboard 6 inputs the data medical image calibration label to be acquired, the data input by the keyboard 6 are transmitted to the inside of the server, the server and the transmitted request are transmitted to the cloud, the cloud transmits the data medical image data of the request to the inside of the corresponding server, the server cleans and screens the received data, the accuracy of the requested data is ensured, the server transmits the screened data to the surface of the display screen 2 for displaying, and the voice broadcasting device 3 broadcasts the data, and the medical data image is printed on the surface of a film through printing equipment installed in the equipment main body 1, so that the acquisition of the data medical image calibration label is completed.
The working principle of the invention is as follows: when the calibration label equipment for acquiring the cloud data medical images is needed, firstly, a power supply is manually connected through a power line 12, then a placing box 10 is manually pulled out through a handle 9, a printed film is placed in the placing box 10, then the placing box 10 is manually pushed into the placing groove 8 through the handle 9, then an electric push rod 16 and a driving motor 19 are manually opened, a fixing frame 14 is pushed to move through the electric push rod 16, a limiting roller 15 is driven to move through the movement of the fixing frame 14, the limiting roller 15 is made to contact with two sides of the printed film, the driving motor 19 rotates to drive a gear 17 to rotate, and the limiting roller 15 is driven to rotate through the rotation of the gear 17, so that the printed film is limited and corrected, and the phenomenon that the acquired medical image data is lost due to the fact that the printed film is offset in the printing process is avoided;
then the keyboard 6 is pressed artificially, the clamping mechanisms at the two sides of the keyboard 6 are separated from the arc-shaped grooves 22, then the keyboard 6 is released artificially, the keyboard 6 is ejected from the first mounting groove 5 by the extrusion force of the first limiting spring 20, and in the ejecting process, the surface of the keyboard 6 is cleaned by air inlet through the hair roller 26 arranged in the second mounting groove 25;
at this moment, the mode of artificial selection input can be input by adopting the keyboard 6 or by adopting the scanning two-dimensional code, the input request data is transmitted to the server, the request is sent to the cloud end through the server, the cloud end sends the requested medical image data to the corresponding server, the server screens and cleans the sent data, the accuracy of the requested medical image data is ensured, the calibrated label of the screened medical image is transmitted to the surface of the display screen for display, and is broadcasted through the voice broadcast device 3, and the printer inside the control equipment main body 1 prints the medical image data on the surface of a film, so that the user contrast reference can be conveniently provided.
The working method for calibrating the label equipment comprises the following steps:
s1, acquiring cloud data medical image data, and performing initial screening on the medical image data;
s2, transmitting the medical image data screened in the initial stage to a server, and transmitting a transmitted request to a cloud end by the server;
s3, the cloud end cleans and screens the medical image data with the request, performs label calibration according to different types, and performs image addition on the medical image, so that the accuracy of the calibrated label data is ensured;
s4, transmitting the medical image data with the calibration label to a display screen (2) for displaying, broadcasting through a voice broadcasting device (3), printing the medical data image on the surface of a film through printing equipment installed inside the equipment main body (1), and obtaining the data medical image calibration label.
The S1 comprises the following steps:
s1-1, if the background color of the medical image in the cloud has chromatic aberration, extracting an abnormal characteristic frame by collecting points with larger chromatic aberration on the medical image, wherein the set of points on the frame is the characteristic of the label to be calibrated, extracting the influence of the characteristic point on the characteristic point by the color change of the image, acquiring enough medical image characteristic points, matching the medical image characteristic points with a preset or pre-marked characteristic point threshold value, determining the nearest characteristic value, obtaining the medical image of the same category or similar category, fixing the medical image of the similar category with unchanged shape, carrying out binarization processing on the medical image which is calibrated, and forming the digital information of the corresponding image after the binarization processing,
correcting the medical image data, removing the recognized characters and the universal characteristic points, and determining a text range to be recognized by text information according to a preset coding rule, for example: stomach detection, intestinal tract detection, coronary angiography or head nuclear magnetic resonance, performing frame selection on the identified characters and similar characters, performing image filling on the frame selection content, and performing medical image numbering;
the step S3 comprises the following steps:
s3-1, extracting features of the medical image boundaries of the calibration labels after preliminary screening; the boundary of the extracted calibration label medical image is a closed area, a binarization numerical vector with equal pixel values is constructed for the closed area, the initial value is 0, the boundary extracted from the calibration label medical image after preliminary screening and the outline of which the whole content is marked as the boundary in the binarization numerical vector,
s3-2, performing lossless compression on pixel values in the extracted boundary outline, and storing the compressed pixel values in a cloud database; continuing to scan the medical image data in the outline range, marking the noise medical image data which is not in the scanning range, cutting the identified medical image data, and processing the split and cut medical image data through parallel processing; positioning the boundary of the medical image data;
s3-3, determining RGB in pixel values of medical image data, converting RGB into XYZ coordinate image, calculating texture feature extraction values after X weighting, Y weighting and Z weighting,
wherein k (i, j) is all medical image data after boundary positioning, S i,j Cutting images for boundary-positioned medical image data after gray level adjustment is completed, wherein the cut images provide assistance for splicing later-stage boundary-positioned medical image data, L i,j After the gray level adjustment is finished, obtaining a characteristic image of the medical image data of the boundary positioning after the boundary positioning, providing help for label calibration operation, wherein lambda is the medical image amplification coefficient after the boundary positioning, mu is the medical image adjustment coefficient of the label to be calibrated, and M i Window width for image frame in medical image data, u i N is the adjustment coefficient of window width of image frame in medical image data j Window level for image frame in medical image data, u j Adjustment of window level for image frames in medical image dataCoefficient C i,j For the quantification number of the gray level of the medical image data, beta is the weight of the medical image data positioned by the boundary, P i For calibrating training sample of label medical image data window width gray level sigma i Adjusting threshold value for training sample for calibrating window width gray level of label medical image data, P j For calibrating training sample of label medical image data window level gray level sigma j The threshold is adjusted for the training samples for calibrating the gray level of the window level of the tag medical image data,
i and j are gray levels of medical image data, and the dynamic range of the gray levels is more than or equal to 0 and less than or equal to 255.
Based on the boundary positioning medical image data scanned in sequence, the adjustment parameters are unchanged, the medical image data are selected in sequence for marking and labeling operation, and after the image RGB texture feature extraction values after weighting are extracted, the workload of medical image equipment is reduced, and the operation related to marking and labeling medical images is classified rapidly.
In order to determine whether the boundary positioning in the medical image data is accurate, the medical image is subjected to boundary positioning detection, so that a boundary positioning result of the medical image data is obtained, namely whether the acquired medical image data is accurate; preparing for a calibration label for medical image data, firstly, reading a gray value of each pixel point in the boundary-positioned medical image data, then, extracting a standard calibration label medical image from a cloud database according to the inspection type and the inspection position of the boundary-positioned medical image, then, evaluating the correct boundary-positioned medical image data in the medical image, calculating the edge strength and the peak signal-to-noise ratio of the boundary-positioned medical image, thereby obtaining a quality evaluation index of the boundary-positioned medical image, performing calibration label operation according to the quality evaluation index and a specified medical image data standard threshold value, performing smoothing and continuous processing by using a Gaussian operator, judging a mathematical model of the quality of the boundary-positioned medical image, calculating the spatial resolution of the calibration label by the medical image, wherein the higher the spatial resolution is, the more accurate the calibration label medical image is, the clearer the edge is, the higher the edge strength Sum value is, and inaccurate, otherwise, repeatedly extracting and collecting to obtain the final calibration label medical image data, and ending the evaluation of the cloud image data.
According to the invention, the cloud data is used as the basis of the medical image data in disease diagnosis and treatment, the medical image data is screened and enhanced, the defect image is deleted according to the characteristics that the medical image is a gray level image and the outline is clear, the characteristic points in the medical image data are gradually extracted, and the judgment process is not interfered by artificial subjective factors through the process of labeling the medical image, so that the calibration, screening and evaluation of massive medical images are facilitated. The lossless compression method is realized, the compression ratio of medical image compression is improved, and the reducibility of the calibration label of medical image data is ensured due to the particularity of the application field of the medical image.
Finally, it should be noted that: any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. The utility model provides a mark label equipment of acquisition cloud data medical science image, includes equipment main part (1), a serial communication port, positive top fixed mounting of equipment main part (1) has display screen (2), the middle part of display screen (2) bottom be equipped with equipment main part (1) fixed connection's scanner (4), one side of display screen (2) bottom be equipped with equipment main part (1) fixed connection's voice broadcast ware (3), first mounting groove (5) have been seted up at equipment main part (1) positive middle part, keyboard (6) have been inlayed to the inside of first mounting groove (5), second mounting groove (25) have been seted up on the top cell wall of first mounting groove (5), the both sides cell wall of second mounting groove (25) is connected with a plurality of hair roller (26) through the bearing rotation that inlays and establishes, a plurality of hair roller (26) bottom and keyboard (6) top contact connection, one side cell wall equidistance fixed mounting of first mounting groove (5) has a plurality of first spacing springs (20), one side of first spacing spring (6) has inlayed the inside of one side (6) and has been seted up front mounting groove (8) of keyboard (8), the front mounting groove (8) have all been seted up, the printing film is embedded in the placement box (10), a handle (9) is fixedly arranged on one side of the placement box (10), sliding grooves (13) are formed in the groove walls on two sides of the placement groove (8), and limiting mechanisms are fixedly arranged in the two sliding grooves (13);
the working method of the equipment comprises the following steps:
s1, acquiring cloud data medical image data, and performing initial screening on the medical image data;
s2, transmitting the medical image data screened in the initial stage to a server, and enabling the server to generate a transmitted request to a cloud;
s3, the cloud end cleans and screens the data of the data medical image with the request, and performs label calibration according to different types, so that the accuracy of the calibrated label data is ensured;
the step S3 comprises the following steps:
s3-1, extracting features of the medical image boundaries of the calibration labels after preliminary screening; the boundary of the extracted calibration label medical image is a closed area, a binarization numerical vector with equal pixel values is constructed for the closed area, the initial value is 0, the boundary extracted from the calibration label medical image after preliminary screening and the outline with all the content marked as the boundary in the binarization numerical vector are subjected to lossless compression, and the pixel values in the extracted boundary outline are stored in a cloud database after compression is completed; continuing to scan the medical image data in the outline range, marking the noise medical image data which is not in the scanning range, cutting the identified medical image data, and processing the split and cut medical image data through parallel processing; positioning the boundary of the medical image data; s3-3, determining RGB in pixel values of medical image data, converting RGB into XYZ coordinate image, calculating texture feature extraction values after X weighting, Y weighting and Z weighting,
wherein k (i, j) is all medical image data after boundary positioning, S i,j Cutting image for boundary positioning medical image data after gray level adjustment is completed, L i,j After the gray level adjustment is completed, the boundary-positioned medical image data characteristic image is characterized in that lambda is the medical image amplification coefficient after boundary positioning, mu is the medical image adjustment coefficient of the label to be calibrated and M i Window width for image frame in medical image data, u i N is the adjustment coefficient of window width of image frame in medical image data j Window level for image frame in medical image data, u j C is an adjustment coefficient of window level of image frame in medical image data i,j For the quantification number of the gray level of the medical image data, beta is the weight of the medical image data positioned by the boundary, P i For calibrating training sample of label medical image data window width gray level sigma i Adjusting threshold value for training sample for calibrating window width gray level of label medical image data, P j For calibrating training sample of label medical image data window level gray level sigma j The threshold is adjusted for the training samples for calibrating the gray level of the window level of the tag medical image data,
i, j is the gray level of the medical image data, and the dynamic range of the gray level is more than or equal to 0 and less than or equal to 255;
s4, transmitting the medical image data with the calibration label to a display screen (2) for displaying, broadcasting through a voice broadcasting device (3), printing the medical data image on the surface of a film through printing equipment installed inside the equipment main body (1), and obtaining the data medical image calibration label.
2. The calibration label equipment for acquiring cloud data medical images according to claim 1, wherein the clamping mechanism comprises second limit springs (24), grooves (23) are formed in corners of two sides of the keyboard (6), the second limit springs (24) are fixedly mounted on one side groove walls of the grooves (23), protruding blocks (21) are fixedly mounted at one ends of the second limit springs (24), arc-shaped grooves (22) matched with the protruding blocks (21) are formed in two side groove walls of the first mounting groove (5), and the two protruding blocks (21) are connected with the corresponding arc-shaped grooves (22) in an embedded mode.
3. The calibration label equipment for acquiring cloud data medical images according to claim 1, wherein the limiting mechanism comprises two electric push rods (16), one end of each electric push rod (16) is fixedly connected with one side groove wall of each sliding groove (13), a fixing frame (14) is fixedly arranged at the other end of each electric push rod (16), a plurality of limiting rollers (15) are rotatably connected to two sides of the inner wall of each fixing frame (14) through embedded bearings, gears (17) are fixedly arranged at one ends of the limiting rollers (15), chains (18) are connected between the gears (17) in a transmission mode, a driving motor (19) is fixedly arranged on one side of the inner wall of each fixing frame (14), and an output shaft of each driving motor (19) is fixedly connected with one end of each limiting roller (15) at the corresponding position.
4. The calibration labeling device for acquiring cloud data medical images according to claim 1, wherein transparent dustproof films are adhered to the surfaces of the display screen (2) and the scanner (4).
5. The calibration label device for acquiring cloud data medical images according to claim 1, wherein a piece taking groove (7) is formed in the front face of the device main body (1) and located between the keyboard (6) and the placement box (10), and anti-skidding lines which are uniformly distributed are formed in the piece taking groove (7).
6. The calibration label device for acquiring cloud data medical images according to claim 1, wherein universal wheels (11) with brake pads are fixedly arranged at four corners of the bottom end of the device main body (1).
7. The calibration label device for acquiring cloud data medical images according to claim 1, wherein a power line (12) is fixedly installed at the bottom of the back of the device main body (1), and the device main body (1) is electrically connected with an external power supply through the power line (12).
8. The calibration labeling apparatus for acquiring a medical image of cloud data according to claim 1, wherein S3 further comprises the steps of:
the medical image is subjected to boundary positioning detection, so that a boundary positioning result of medical image data is obtained, namely whether the acquired medical image data is correct or not; preparing for a calibration label for medical image data, firstly, reading a gray value of each pixel point in the boundary-positioned medical image data, then, extracting a standard calibration label medical image from a cloud database according to the inspection type and the inspection position of the boundary-positioned medical image, then, evaluating the correct boundary-positioned medical image data in the medical image, calculating the edge strength and the peak signal-to-noise ratio of the boundary-positioned medical image, thereby obtaining a quality evaluation index of the boundary-positioned medical image, performing calibration label operation according to the quality evaluation index and a specified medical image data standard threshold value, performing smoothing and continuous processing by using a Gaussian operator, judging a mathematical model of the quality of the boundary-positioned medical image, calculating the spatial resolution of the calibration label by the medical image, wherein the higher the spatial resolution is, the more accurate the calibration label medical image is, the clearer the edge is, the higher the edge strength Sum value is, and inaccurate, otherwise, repeatedly extracting and collecting to obtain the final calibration label medical image data, and ending the evaluation of the cloud image data.
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| CN111436962B (en) * | 2020-04-13 | 2023-05-26 | 重庆工程职业技术学院 | Device for distributing and collecting massive medical image data and working method thereof |
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