CN110648295A - Image analysis-based preoperative examination and user terminal interaction system and method for orthopedics department - Google Patents
Image analysis-based preoperative examination and user terminal interaction system and method for orthopedics department Download PDFInfo
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Abstract
The invention belongs to the technical field of terminal interaction, and discloses an orthopedic preoperative examination and user terminal interaction system and method based on image analysis, wherein a medical imaging device is used for acquiring a CT image; acquiring the electrocardiogram data of a patient by using an electrocardiograph; collecting the red blood cell count, hemoglobin, white blood cells, white blood cell differential count and platelet data of a patient by using a blood detector; enhancing and encrypting the acquired CT image; and transmitting a wireless signal by using the wireless transmitter to connect the terminal module for wireless communication. The invention can realize the self-adaptive enhancement of the bone CT image through the image enhancement module; the bone CT image with complex color tones can be well restored, and the color confusion of the whole bone CT image is not brought; meanwhile, the data encryption module can encrypt the data without using the existing modes of RSA, random seeds and the like, so that the medical health information including the personal privacy is encrypted with higher intensity.
Description
Technical Field
The invention belongs to the technical field of terminal interaction, and particularly relates to an orthopedic preoperative examination and user terminal interaction system and method based on image analysis.
Background
Orthopedics is one of the most common departments in all hospitals, and mainly studies the anatomy, physiology and pathology of the skeletal muscle system, and maintains and develops the normal form and function of the system by using medicines, operations and physical methods. With the change of times and society, the orthopedic injury spectrum has obvious changes, for example, diseases such as osteoarticular tuberculosis, osteomyelitis, poliomyelitis and the like are obviously reduced, and the injuries caused by traffic accidents are obviously increased. However, CT images acquired during the existing orthopedic preoperative examination show a severe color cast distortion effect; meanwhile, the safety of preoperative examination data of the orthopedics department is low, and the data are easy to reveal.
In summary, the problems of the prior art are as follows:
CT images acquired in the existing orthopedic preoperative examination process show a serious color cast distortion effect; meanwhile, the safety of preoperative examination data of the orthopedics department is low, and the data are easy to reveal.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an orthopedic preoperative examination and user terminal interaction system and method based on image analysis.
The invention is realized in this way, an orthopedic preoperative examination and user terminal interactive system based on image analysis comprises:
the system comprises a patient image acquisition module, an electrocardiogram data acquisition module, a blood conventional data acquisition module, a central control module, an image enhancement module, a data encryption module, a data storage module, a wireless communication module, a terminal module and a display module;
the patient image acquisition module is connected with the central control module and is used for acquiring a CT image of the bone of the patient through medical imaging equipment;
the electrocardio data acquisition module is connected with the central control module and is used for acquiring the electrocardio data of the patient through the electrocardiograph;
the blood routine data acquisition module is connected with the central control module and is used for acquiring red blood cell count (RBC), hemoglobin (Hb), White Blood Cells (WBC), white blood cell differential count and Platelet (PLT) data of a patient through the blood detector;
the central control module is connected with the patient image acquisition module, the electrocardiogram data acquisition module, the blood conventional data acquisition module, the image enhancement module, the data encryption module, the data storage module, the wireless communication module and the display module and is used for controlling each module to normally work through the main control computer;
the image enhancement module is connected with the central control module and is used for enhancing the acquired CT image through an image enhancement program;
the data encryption module is connected with the central control module and used for encrypting the acquired data through a data encryption program;
the data storage module is connected with the central control module and used for storing the collected CT image, the electrocardio data and the blood conventional data of the bone part of the patient through a memory;
the wireless communication module is connected with the central control module and the terminal module and is used for transmitting wireless signals through the wireless transmitter to be connected with the terminal module for wireless communication;
the terminal module is connected with the wireless communication module and used for acquiring patient examination data information through the mobile terminal;
and the display module is connected with the central control module and is used for displaying the collected CT image, the electrocardio data and the blood conventional data of the bone part of the patient through the display.
Further, the central control module further comprises:
the image processing assembly is used for processing images acquired by the patient image acquisition module and the electrocardio data acquisition module, processing an original image into an image which is convenient for the terminal module to identify through denoising, interference removal and image restoration, and then performing feature extraction, classification and analysis on an available image after image processing through image identification;
the data processing component is used for sending the data after image processing to the data processing CPU by the data acquisition card, calculating the distance deviation of each acquisition point relative to an ideal plane by the data processing CPU through flatness calculation, calculating a flatness error value, and fitting by a three-position image in the data processing CPU to visually see the error distribution condition of the plane;
the image processing component is integrated with:
the compensated image processing sub-module is used for acquiring an original image and a degraded image of the original image added with ambient light ground color, acquiring the chromaticity difference of the original image and the degraded image and performing chromaticity compensation on the original image by utilizing the chromaticity difference to obtain a compensated image;
the convolution data acquisition module is used for correcting the compensated image data to obtain correction data, denoising the correction data to obtain denoised data, rearranging the denoised data to obtain rearranged data and convolving the rearranged data to obtain convolution data;
the image marking module is used for selecting the corrected compensation image, respectively marking a corresponding first homologous point, a corresponding second homologous point and a corresponding … … nth homologous point in the correction area, wherein the first homologous point is located in the first image to be corrected, the second homologous point is located in the second image to be corrected, and the nth homologous point is located in the nth image to be corrected;
the image splicing module selects a point, the distance between which and the first homonymous point, the second homonymous point and the nth homonymous point … … meets the preset requirement, as a reference point in the correction area, corrects the first homonymous point, the second homonymous point and the … … nth homonymous point to a required position by taking the reference point as an origin point, and splices the first image, the second image and the … … nth image together;
an image transformation module that receives the stitched plurality of images, defines a set of images for processing from the plurality of images, aligns at least one component within the set of images, transforms one or more of the aligned images by cropping, resizing, and rotating one or more of the images to produce a series of transformed images;
the image high-order characteristic polynomial conversion module generates a data matrix of the transformed image, centralizes or standardizes the data matrix, calculates a variance matrix of the data matrix after centralization or standardization, and converts a characteristic polynomial of the variance matrix into a high-order characteristic polynomial;
the image compression module is used for judging the number of roots of the high-order characteristic polynomial, carrying out iterative solution on the high-order characteristic polynomial according to the number of the roots and a preset initial solution, when the number of the roots obtained by the iterative solution is four, calculating the four remaining roots according to a mathematical expression of the characteristic polynomial obtained by the current iterative solution, outputting all characteristic roots, calculating characteristic vectors according to the characteristic roots, obtaining a transformation matrix according to the characteristic vectors, and multiplying the transformation matrix by a data matrix to obtain a compressed image;
the image noise threshold value determining module is used for acquiring and decompressing different compressed images through a data matrix by the multi-path processor, performing multi-layer wavelet decomposition on the decompressed images to obtain corresponding multi-layer wavelet coefficients, and determining a noise threshold value corresponding to each layer of wavelet coefficient according to the total number of the multi-layer wavelet coefficients and the sequence number corresponding to each layer of wavelet coefficient;
the image reconstruction module is used for denoising the multilayer wavelet coefficients by using a wavelet threshold denoising function based on a plurality of noise thresholds corresponding to the multilayer wavelet coefficients and reconstructing corresponding original images by using the denoised multilayer wavelet coefficients;
the image root acquisition module receives an image request sent by a user, wherein the image request comprises a homonymy point identifier of a requested image, acquires an image root according to the homonymy point identifier of the image, and returns the image root to the user.
Another objective of the present invention is to provide a method for interaction between preoperative examination and a user terminal for orthopedics based on image analysis, comprising the following steps:
step one, acquiring a bone CT image of a patient by using medical imaging equipment through a patient image acquisition module; acquiring the electrocardiogram data of the patient by an electrocardiogram instrument through an electrocardiogram data acquisition module;
collecting red blood cell count (RBC), hemoglobin (Hb), White Blood Cells (WBC), white blood cell differential count (WBC) and Platelet (PLT) data of a patient by a blood routine data collection module through a blood detector;
step three, the central control module dispatches the image enhancement module to carry out enhancement processing on the acquired CT image by using an image enhancement program;
step four, the data encryption module encrypts the acquired data by using a data encryption program; the data storage module is used for storing the collected CT image, the electrocardio data and the blood conventional data of the bone part of the patient by using a memory;
step five, a wireless signal is transmitted by a wireless transmitter through a wireless communication module to be connected with the terminal module 9 for wireless communication; acquiring patient examination data information by using a mobile terminal through a terminal module;
and step six, displaying the acquired CT image, the electrocardiogram data and the blood conventional data of the patient bone part by using a display through a display module.
Further, the image enhancement module enhancement method is as follows:
1) inputting a CT image of a bone part to be processed through an image processing program, and converting the CT image into an HSV space;
2) taking out an H component matrix of the bone CT image, and calculating the information content of the H component matrix to be used as a color tone abundance index of the bone CT image;
3) comparing the color tone richness index with a set threshold, and if the color tone richness index is larger than the set threshold, performing bone CT image enhancement processing by adopting an MSR _ HSV algorithm; if the color tone richness index is less than or equal to the set threshold value, firstly, the original MSRCR algorithm is adopted to carry out bone CT image enhancement processing, and then the processed bone CT image is processed in a dark channel in a priori manner.
The set threshold value in the step 3) is 4.
Further, the specific steps of performing bone CT image enhancement processing by using the MSR _ HSV algorithm in the step 3) are as follows:
a. preparing Gaussian kernels with different scales, and transforming the Gaussian kernels to a frequency domain by using fast Fourier transform;
b. respectively transforming the S component and the V component of the bone CT image into a frequency domain by using fast Fourier transform;
c. respectively performing point multiplication on the Gaussian kernels with different scales and the S component and the V component of the CT image of the bone part in a frequency domain, and transforming the S component and the V component into a spatial domain by utilizing inverse Fourier transform;
d. c, respectively carrying out difference on the S component and the V component of the output bone CT image with different scales generated in the step c and the original bone CT image in a logarithmic domain to serve as an estimation value of the CT image of the irradiated bone in the scene in a response scale;
e. weighting the output bone CT images of different scales generated in the step d to be used as estimation values of S components and V components of the CT images of the irradiated bone in the scene;
f. e, real-numerating the two estimated bone CT images generated in the step e, and performing histogram truncation on the two estimated bone CT images;
g. and f, combining the S component and the V component obtained in the step f with the H component of the original bone CT image, converting the combined components into an RGB space again, and taking the output bone CT image as the output bone CT image of the MSR _ HSV algorithm.
Further, the data encryption module encryption method comprises the following steps:
(1) encrypting at least one piece of data in the identity basic information data according to a first encryption algorithm through an encryption program to obtain first encrypted data;
(2) encrypting a part of living environment data and the physiological information data according to a second encryption algorithm to obtain a first secret key and second encrypted data, wherein the living environment data comprises patient position information, environmental temperature and environmental humidity;
(3) encrypting the first encrypted data and the second encrypted data according to a third encryption algorithm according to at least one part of the visit data and the examination and diagnosis result data as a second key to obtain third encrypted data;
(4) and generating a check code according to the second secret key and the rest of the living environment data, and encrypting according to the check code, the first encrypted data and the second encrypted data according to a fourth encryption algorithm to obtain fourth encrypted data.
Further, the encrypting at least one of the identity basic information data according to the first encryption algorithm includes:
obtaining first data as encrypted data;
converting each character in the encrypted data into a first HEX code string;
forming 8 digits by the current date according to a format of 'four-digit annual digit' + 'two-digit monthly digit' + 'two-digit daily digit', and dividing the 8 digits by the last 1 digit of the ID card number respectively to obtain a remainder comprising 8 digits;
converting the first four digits of the remainder into a second HEX code string;
converting the last four digits of the remainder into a third HEX code string;
inserting a first HEX code in a second HEX code string between a last HEX code and a penultimate HEX code of the first HEX code string, inserting a second HEX code in the second HEX code string between the penultimate HEX code and a third penultimate HEX code of the first HEX code string, and so on until each HEX code in the second HEX code string is inserted into the first HEX code string;
inserting a first HEX code in a third HEX code string between a first HEX code and a second HEX code of the first HEX code string, inserting a second HEX code in the third HEX code string between the second HEX code and a third HEX code of the first HEX code string, and so on until each HEX code in the third HEX code string is inserted into the first HEX code string;
the first HEX code string of each HEX code inserted into the second and third HEX code strings, which has been subjected to the above-described processing, is used as the first encrypted data.
The invention has the advantages and positive effects that:
according to the invention, the image enhancement module is used for evaluating the color tone richness of the bone CT image, and different algorithm processing is carried out on the natural bone CT images with different color tone richness, so that the self-adaptive enhancement of the bone CT image can be realized; the bone CT image with complex color tones can be well restored, and the color confusion of the whole bone CT image is not brought; meanwhile, the data encryption module can encrypt the data without using the existing modes of RSA, random seeds and the like, so that the medical health information including the personal privacy is encrypted with higher intensity.
In the invention, the image processing component of the central control module processes the images acquired by the patient image acquisition module and the electrocardio data acquisition module, processes the original image into an image which is convenient for the terminal module to identify through denoising, interference removal and image restoration, and then performs feature extraction, classification and analysis on the available image after image processing through image identification. And the data processing component is used for sending the data after image processing to the data processing CPU by the data acquisition card, calculating the distance deviation of each acquisition point relative to an ideal plane by the data processing CPU through flatness calculation, calculating a flatness error value, and fitting the data processing CPU by three-position images to visually see the error distribution condition of the plane.
Drawings
Fig. 1 is a flowchart illustrating a method for interacting with a user terminal for preoperative examination based on image analysis according to an embodiment of the present invention.
Fig. 2 is a block diagram of an interaction system of an orthopedic preoperative examination and a user terminal based on image analysis according to an embodiment of the present invention.
In the figure: 1. a patient image acquisition module; 2. an electrocardio data acquisition module; 3. a blood routine data acquisition module; 4. a central control module; 5. an image enhancement module; 6. a data encryption module; 7. a data storage module; 8. a wireless communication module; 9. a terminal module; 10. and a display module.
Fig. 3 is a flowchart of an image enhancement method according to an embodiment of the present invention.
Fig. 4 is a flowchart of a data encryption method according to an embodiment of the present invention.
Detailed Description
In order to further understand the contents, features and effects of the present invention, the following embodiments are illustrated and described in detail with reference to the accompanying drawings.
CT images acquired in the existing orthopedic preoperative examination process show a serious color cast distortion effect; meanwhile, the safety of preoperative examination data of the orthopedics department is low, and the data are easy to reveal.
In order to solve the above technical problems, the structure of the present invention will be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the image analysis-based method for interacting with a user terminal for preoperative examination of an orthopedics department provided by the present invention includes the following steps:
s101, acquiring a bone CT image of the patient by using medical imaging equipment through a patient image acquisition module. The electrocardio data of the patient is acquired by an electrocardio instrument through an electrocardio data acquisition module.
And S102, collecting red blood cell count (RBC), hemoglobin (Hb), White Blood Cells (WBC), white blood cell differential count (WBC) and platelet count (PLT) data of the patient by using a blood routine data collection module and a blood detector.
S103, the central control module dispatches the image enhancement module to carry out enhancement processing on the acquired CT image by using an image enhancement program.
S104, encrypting the acquired data by using a data encryption program through a data encryption module; the data storage module is used for storing the collected CT image, the electrocardio data and the blood conventional data of the bone part of the patient by using a memory;
s105, transmitting a wireless signal by a wireless transmitter through a wireless communication module to connect the terminal module 9 for wireless communication; acquiring patient examination data information by using a mobile terminal through a terminal module;
and S106, displaying the acquired CT image, the electrocardiogram data and the blood routine data of the bone part of the patient by using a display through a display module.
As shown in fig. 2, the system for interaction between an orthopedic preoperative examination and a user terminal based on image analysis according to an embodiment of the present invention includes: the system comprises a patient image acquisition module 1, an electrocardiogram data acquisition module 2, a blood routine data acquisition module 3, a central control module 4, an image enhancement module 5, a data encryption module 6, a data storage module 7, a wireless communication module 8, a terminal module 9 and a display module 10.
The patient image acquisition module 1 is connected with the central control module 4 and used for acquiring the CT image of the bone of the patient through medical imaging equipment.
The electrocardio data acquisition module 2 is connected with the central control module 4 and is used for acquiring the electrocardio data of the patient through the electrocardiograph.
And the blood routine data acquisition module 3 is connected with the central control module 4 and is used for acquiring red blood cell count (RBC), hemoglobin (Hb), White Blood Cells (WBC), white blood cell differential count (WBC) and Platelet (PLT) data of the patient through the blood detector.
The central control module 4 is connected with the patient image acquisition module 1, the electrocardiogram data acquisition module 2, the blood conventional data acquisition module 3, the image enhancement module 5, the data encryption module 6, the data storage module 7, the wireless communication module 8 and the display module 10, and is used for controlling each module to normally work through the main control computer.
And the image enhancement module 5 is connected with the central control module 4 and is used for enhancing the acquired CT image through an image enhancement program.
And the data encryption module 6 is connected with the central control module 4 and is used for encrypting the acquired data through a data encryption program.
And the data storage module 7 is connected with the central control module 4 and is used for storing the collected CT image of the bone part of the patient, the electrocardio data and the blood conventional data through a memory.
And the wireless communication module 8 is connected with the central control module 4 and the terminal module 9 and is used for transmitting a wireless signal through a wireless transmitter to connect the terminal module 9 for wireless communication.
And the terminal module 9 is connected with the wireless communication module 8 and is used for acquiring the patient examination data information through the mobile terminal.
And the display module 10 is connected with the central control module 4 and is used for displaying the acquired CT image, the electrocardiogram data and the blood routine data of the patient bone part through a display.
In an embodiment of the present invention, the central control module further comprises:
and the image processing assembly is used for processing the images acquired by the patient image acquisition module and the electrocardio data acquisition module, processing the original images into images convenient for the terminal module to identify through denoising, interference removing and image restoration, and then performing feature extraction, classification and analysis on the available images after image processing through image identification.
And the data processing component is used for sending the data after image processing to the data processing CPU by the data acquisition card, calculating the distance deviation of each acquisition point relative to an ideal plane by the data processing CPU through flatness calculation, calculating a flatness error value, and fitting the data processing CPU by three-position images to visually see the error distribution condition of the plane.
The image processing component is integrated with:
and the compensated image processing sub-module is used for acquiring an original image and a degraded image of the original image added with the ambient light ground color, acquiring the chromaticity difference between the original image and the degraded image and performing chromaticity compensation on the original image by utilizing the chromaticity difference to obtain a compensated image.
And the convolution data acquisition module is used for correcting the compensated image data to obtain correction data, denoising the correction data to obtain denoising data, rearranging the denoising data to obtain rearranged data, and convolving the rearranged data to obtain convolution data.
And the image marking module is used for selecting the corrected compensation image, respectively marking a corresponding first homologous point, a corresponding second homologous point and a corresponding … … nth homologous point in the correction area, wherein the first homologous point is positioned in the first image to be corrected, the second homologous point is positioned in the second image to be corrected, and the nth homologous point is positioned in the nth image to be corrected.
And the image splicing module selects a point, the distance between which and the first homologous point, the second homologous point and the n-th homologous point … … meets the preset requirement, as a reference point in the correction area, corrects the first homologous point, the second homologous point and the … … n-th homologous point to a required position by taking the reference point as an original point, and splices the first image, the second image and the … … n-th image together.
An image transformation module that receives the stitched plurality of images, defines a set of images for processing from the plurality of images, aligns at least one component within the set of images, transforms one or more of the aligned images by cropping, resizing, and rotating one or more of the images to produce a series of transformed images.
And the image high-order characteristic polynomial conversion module generates a data matrix of the transformed image, centralizes or normalizes the data matrix, calculates a variance matrix of the data matrix after centralization or normalization, and converts the characteristic polynomial of the variance matrix into a high-order characteristic polynomial.
The image compression module is used for judging the number of roots of the high-order characteristic polynomial, carrying out iterative solution on the high-order characteristic polynomial according to the number of the roots and a preset initial solution, when the number of the roots obtained by the iterative solution is four, calculating the four remaining roots according to a mathematical expression of the characteristic polynomial obtained by the current iterative solution, outputting all characteristic roots, calculating characteristic vectors according to the characteristic roots, obtaining a transformation matrix according to the characteristic vectors, and multiplying the transformation matrix by a data matrix to obtain a compressed image.
And the image noise threshold value determining module is used for acquiring and decompressing different compressed images through the data matrix by the multi-path processor, performing multi-layer wavelet decomposition on the decompressed images to obtain corresponding multi-layer wavelet coefficients, and determining the noise threshold value corresponding to each layer of wavelet coefficient according to the total number of the multi-layer wavelet coefficients and the sequence number corresponding to each layer of wavelet coefficient.
And the image reconstruction module is used for denoising the multilayer wavelet coefficients by using a wavelet threshold denoising function based on a plurality of noise thresholds corresponding to the multilayer wavelet coefficients and reconstructing corresponding original images by using the denoised multilayer wavelet coefficients.
The image root acquisition module receives an image request sent by a user, wherein the image request comprises a homonymy point identifier of a requested image, acquires an image root according to the homonymy point identifier of the image, and returns the image root to the user.
As shown in fig. 3, the image enhancement module 5 provided by the present invention includes:
s201, inputting a CT image of a bone part to be processed through an image processing program, and converting the CT image into HSV space.
S202, an H component matrix of the bone CT image is taken out, and the information content of the H component matrix is calculated to be used as a color tone abundance index of the bone CT image.
S203, comparing the color tone richness index with a set threshold, and if the color tone richness index is larger than the set threshold, performing bone CT image enhancement processing by adopting an MSR _ HSV algorithm. If the color tone richness index is less than or equal to the set threshold value, firstly, the original MSRCR algorithm is adopted to carry out bone CT image enhancement processing, and then the processed bone CT image is processed in a dark channel in a priori manner.
The set threshold value in step S203 provided by the present invention is 4.
The specific steps of using the MSR _ HSV algorithm to carry out bone CT image enhancement processing in the step S203 provided by the invention are as follows:
a. gaussian kernels of different scales are prepared and transformed to the frequency domain using a fast fourier transform.
b. And respectively transforming the S component and the V component of the bone CT image into a frequency domain by using fast Fourier transform.
c. And respectively performing point multiplication on the Gaussian kernels with different scales and the S component and the V component of the bone CT image in the frequency domain, and transforming the product into a spatial domain by utilizing inverse Fourier transform.
d. And d, respectively carrying out difference on the S component and the V component of the output bone CT image with different scales generated in the step c and the original bone CT image in a logarithmic domain to serve as an estimation value of the CT image of the irradiated bone in the scene in a response scale.
e. And d, weighting the output bone CT images with different scales generated in the step d to be used as the estimation values of the S component and the V component of the CT image of the irradiated bone in the scene.
f. And e, real-counting the two estimated bone CT images generated in the step e, and performing histogram truncation on the two estimated bone CT images.
g. And f, combining the S component and the V component obtained in the step f with the H component of the original bone CT image, converting the combined components into an RGB space again, and taking the output bone CT image as the output bone CT image of the MSR _ HSV algorithm.
As shown in fig. 4, in the embodiment of the present invention, the encryption method of the data encryption module 6 provided by the present invention is as follows:
s301, at least one piece of data in the identity basic information data is encrypted according to a first encryption algorithm through an encryption program, and first encrypted data is obtained.
S302, encrypting a part of living environment data and the physiological information data according to a second encryption algorithm to obtain a first secret key and second encrypted data, wherein the living environment data comprises patient position information, environmental temperature and environmental humidity.
And S303, encrypting the first encrypted data and the second encrypted data according to a third encryption algorithm by using at least one part of the clinic data and the examination and diagnosis result data as a second key to obtain third encrypted data.
S304, generating a check code according to the second secret key and the rest of the living environment data, and encrypting according to the check code, the first encrypted data and the second encrypted data according to a fourth encryption algorithm to obtain fourth encrypted data.
In an embodiment of the present invention, the encrypting at least one of the identity basic information data according to the first encryption algorithm includes:
the first data is obtained as encrypted data.
And converting each character in the encrypted data into a first HEX code string.
And forming 8 digits by dividing the current date by the last 1 digit of the ID number according to the format of 'four-digit annual number' + 'two-digit month number' + 'two-digit daily number', so as to obtain a remainder comprising 8 digits.
The first four digits of the remainder are converted into a second HEX code string.
The last four digits of the remainder are converted into a third HEX code string.
Inserting a first HEX code in a second HEX code string between a last HEX code and a penultimate HEX code of the first HEX code string, inserting a second HEX code in the second HEX code string between the penultimate HEX code and a third penultimate HEX code of the first HEX code string, and so on until each HEX code in the second HEX code string is inserted into the first HEX code string.
Inserting a first HEX code in a third HEX code string between the first HEX code and a second HEX code of the first HEX code string, inserting a second HEX code in the third HEX code string between the second HEX code and a third HEX code of the first HEX code string, and so on until each HEX code in the third HEX code string is inserted into the first HEX code string.
The first HEX code string of each HEX code inserted into the second and third HEX code strings, which has been subjected to the above-described processing, is used as the first encrypted data.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, is implemented in a terminal module program product that includes one or more terminal module instructions. When the terminal module program instructions are loaded or executed on the terminal module, the procedures or functions according to the embodiments of the present invention are wholly or partially generated. The terminal module may be a general purpose terminal module, a special purpose terminal module, a network of terminal modules, or other programmable device. The terminal module instructions may be stored in or transmitted from one terminal module readable storage medium to another terminal module readable storage medium, for example, the terminal module instructions may be transmitted from one website site, terminal module, server, or data center to another website site, terminal module, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The terminal module readable storage medium can be any available medium that can be accessed by the terminal module or a data storage device including one or more integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the present invention in any way, and all simple modifications, equivalent changes and modifications made to the above embodiment according to the technical spirit of the present invention are within the scope of the technical solution of the present invention.
Claims (10)
1. An orthopedic preoperative examination and user terminal interaction system based on image analysis, which is characterized by comprising:
the patient image acquisition module is connected with the central control module and is used for acquiring a bone CT image through medical imaging equipment;
the electrocardio data acquisition module is connected with the central control module and is used for acquiring electrocardio data through an electrocardiograph;
the blood routine data acquisition module is connected with the central control module and is used for acquiring red blood cell count, hemoglobin, white blood cells, white blood cell classification count and platelet data through the blood detector;
the central control module is connected with the patient image acquisition module, the electrocardiogram data acquisition module, the blood conventional data acquisition module, the image enhancement module, the data encryption module, the data storage module, the wireless communication module and the display module and is used for controlling each module to normally work through the main control computer;
the image enhancement module is connected with the central control module and is used for enhancing the acquired CT image through an image enhancement program;
the data encryption module is connected with the central control module and used for encrypting the acquired data through a data encryption program;
the data storage module is connected with the central control module and used for storing the collected CT image, the electrocardio data and the blood conventional data of the bone part of the patient through a memory;
the wireless communication module is connected with the central control module and the terminal module and is used for transmitting wireless signals through the wireless transmitter to be connected with the terminal module for wireless communication;
the terminal module is connected with the wireless communication module and used for acquiring patient examination data information through the mobile terminal;
and the display module is connected with the central control module and is used for displaying the collected CT image, the electrocardio data and the blood conventional data of the bone part of the patient through the display.
2. The image analysis-based preoperative examination and user terminal interaction system for orthopedics department of claim 1, wherein the central control module further comprises:
the image processing assembly is used for processing images acquired by the patient image acquisition module and the electrocardio data acquisition module, processing an original image into an image which is convenient for the terminal module to identify through denoising, interference removal and image restoration, and then performing feature extraction, classification and analysis on an available image after image processing through image identification;
the data processing component is used for sending the data after image processing to the data processing CPU by the data acquisition card, calculating the distance deviation of each acquisition point relative to an ideal plane by the data processing CPU through flatness calculation, calculating a flatness error value, and fitting by a three-position image in the data processing CPU to visually see the error distribution condition of the plane;
the image processing component is integrated with:
the compensated image processing sub-module is used for acquiring an original image and a degraded image of the original image added with ambient light ground color, acquiring the chromaticity difference of the original image and the degraded image and performing chromaticity compensation on the original image by utilizing the chromaticity difference to obtain a compensated image;
the convolution data acquisition module is used for correcting the compensated image data to obtain correction data, denoising the correction data to obtain denoised data, rearranging the denoised data to obtain rearranged data and convolving the rearranged data to obtain convolution data;
the image marking module is used for selecting the corrected compensation image, respectively marking a corresponding first homologous point, a corresponding second homologous point and a corresponding … … nth homologous point in the correction area, wherein the first homologous point is located in the first image to be corrected, the second homologous point is located in the second image to be corrected, and the nth homologous point is located in the nth image to be corrected;
the image splicing module selects a point, the distance between which and the first homonymous point, the second homonymous point and the nth homonymous point … … meets the preset requirement, as a reference point in the correction area, corrects the first homonymous point, the second homonymous point and the … … nth homonymous point to a required position by taking the reference point as an origin point, and splices the first image, the second image and the … … nth image together;
an image transformation module that receives the stitched plurality of images, defines a set of images for processing from the plurality of images, aligns at least one component within the set of images, transforms one or more of the aligned images by cropping, resizing, and rotating one or more of the images to produce a series of transformed images;
the image high-order characteristic polynomial conversion module generates a data matrix of the transformed image, centralizes or standardizes the data matrix, calculates a variance matrix of the data matrix after centralization or standardization, and converts a characteristic polynomial of the variance matrix into a high-order characteristic polynomial;
the image compression module is used for judging the number of roots of the high-order characteristic polynomial, carrying out iterative solution on the high-order characteristic polynomial according to the number of the roots and a preset initial solution, when the number of the roots obtained by the iterative solution is four, calculating the four remaining roots according to a mathematical expression of the characteristic polynomial obtained by the current iterative solution, outputting all characteristic roots, calculating characteristic vectors according to the characteristic roots, obtaining a transformation matrix according to the characteristic vectors, and multiplying the transformation matrix by a data matrix to obtain a compressed image;
the image noise threshold value determining module is used for acquiring and decompressing different compressed images through a data matrix by the multi-path processor, performing multi-layer wavelet decomposition on the decompressed images to obtain corresponding multi-layer wavelet coefficients, and determining a noise threshold value corresponding to each layer of wavelet coefficient according to the total number of the multi-layer wavelet coefficients and the sequence number corresponding to each layer of wavelet coefficient;
the image reconstruction module is used for denoising the multilayer wavelet coefficients by using a wavelet threshold denoising function based on a plurality of noise thresholds corresponding to the multilayer wavelet coefficients and reconstructing corresponding original images by using the denoised multilayer wavelet coefficients;
the image root acquisition module receives an image request sent by a user, wherein the image request comprises a homonymy point identifier of a requested image, acquires an image root according to the homonymy point identifier of the image, and returns the image root to the user.
3. An interactive method for the image analysis-based preoperative examination and user terminal interactive system for orthopedics department, which is characterized in that the image analysis-based preoperative examination and user terminal interactive method for orthopedics department comprises the following steps:
step one, acquiring a bone CT image by using medical imaging equipment through a patient image acquisition module; acquiring electrocardiogram data by an electrocardiogram data acquisition module by using an electrocardiogram instrument;
collecting red blood cell count, hemoglobin, white blood cells, white blood cell classification count and platelet data by using a blood conventional data collection module and a blood detector;
step three, the central control module dispatches the image enhancement module to carry out enhancement processing on the acquired CT image by using an image enhancement program;
step four, the data encryption module encrypts the acquired data by using a data encryption program; the data storage module is used for storing the collected CT image, the electrocardio data and the blood conventional data of the bone part of the patient by using a memory;
step five, a wireless signal is transmitted by a wireless transmitter through a wireless communication module to be connected with the terminal module 9 for wireless communication; acquiring inspection data information by using a mobile terminal through a terminal module;
and step six, displaying the acquired CT image, the electrocardiogram data and the blood conventional data of the patient bone part by using a display through a display module.
4. The image analysis-based preoperative examination and user terminal interaction method for orthopedics department as claimed in claim 1, wherein the image enhancement module enhancement method is as follows:
1) inputting a CT image of a bone part to be processed through an image processing program, and converting the CT image into an HSV space;
2) taking out an H component matrix of the bone CT image, and calculating the information content of the H component matrix to be used as a color tone abundance index of the bone CT image;
3) comparing the color tone richness index with a set threshold, and if the color tone richness index is larger than the set threshold, performing bone CT image enhancement processing by adopting an MSR _ HSV algorithm; if the color tone richness index is less than or equal to the set threshold value, firstly, the original MSRCR algorithm is adopted to carry out bone CT image enhancement processing, and then the processed bone CT image is processed in a dark channel in a priori manner.
5. The image analysis-based preoperative exam and user terminal interaction method for orthopedics department as claimed in claim 4, wherein said set threshold value in step 3) is 4.
6. The image analysis-based interaction method for preoperative examination and user terminal of orthopedics department as claimed in claim 4, wherein the specific steps of using MSR _ HSV algorithm to perform bone CT image enhancement in step 3) are as follows:
a. preparing Gaussian kernels with different scales, and transforming the Gaussian kernels to a frequency domain by using fast Fourier transform;
b. respectively transforming the S component and the V component of the bone CT image into a frequency domain by using fast Fourier transform;
c. respectively performing point multiplication on the Gaussian kernels with different scales and the S component and the V component of the CT image of the bone part in a frequency domain, and transforming the S component and the V component into a spatial domain by utilizing inverse Fourier transform;
d. c, respectively carrying out difference on the S component and the V component of the output bone CT image with different scales generated in the step c and the original bone CT image in a logarithmic domain to serve as an estimation value of the CT image of the irradiated bone in the scene in a response scale;
e. weighting the output bone CT images of different scales generated in the step d to be used as estimation values of S components and V components of the CT images of the irradiated bone in the scene;
f. e, real-numerating the two estimated bone CT images generated in the step e, and performing histogram truncation on the two estimated bone CT images;
g. and f, combining the S component and the V component obtained in the step f with the H component of the original bone CT image, converting the combined components into an RGB space again, and taking the output bone CT image as the output bone CT image of the MSR _ HSV algorithm.
7. The image analysis-based preoperative examination and user terminal interaction method for orthopedics department as claimed in claim 3, wherein the data encryption module encryption method comprises the following steps:
(1) encrypting at least one piece of data in the identity basic information data according to a first encryption algorithm through an encryption program to obtain first encrypted data;
(2) encrypting a part of living environment data and the physiological information data according to a second encryption algorithm to obtain a first secret key and second encrypted data, wherein the living environment data comprises patient position information, environmental temperature and environmental humidity;
(3) encrypting the first encrypted data and the second encrypted data according to a third encryption algorithm according to at least one part of the visit data and the examination and diagnosis result data as a second key to obtain third encrypted data;
(4) and generating a check code according to the second secret key and the rest of the living environment data, and encrypting according to the check code, the first encrypted data and the second encrypted data according to a fourth encryption algorithm to obtain fourth encrypted data.
8. The image analysis-based preoperative exam and user terminal interaction method for orthopedics department as claimed in claim 7, wherein said encrypting at least one of the identity basic information data according to a first encryption algorithm comprises:
obtaining first data as encrypted data;
converting each character in the encrypted data into a first HEX code string;
forming 8 digits by the current date according to a format of 'four-digit annual digit' + 'two-digit monthly digit' + 'two-digit daily digit', and dividing the 8 digits by the last 1 digit of the ID card number respectively to obtain a remainder comprising 8 digits;
converting the first four digits of the remainder into a second HEX code string;
converting the last four digits of the remainder into a third HEX code string;
inserting a first HEX code in a second HEX code string between a last HEX code and a penultimate HEX code of the first HEX code string, inserting a second HEX code in the second HEX code string between the penultimate HEX code and a third penultimate HEX code of the first HEX code string, and so on until each HEX code in the second HEX code string is inserted into the first HEX code string;
inserting a first HEX code in a third HEX code string between a first HEX code and a second HEX code of the first HEX code string, inserting a second HEX code in the third HEX code string between the second HEX code and a third HEX code of the first HEX code string, and so on until each HEX code in the third HEX code string is inserted into the first HEX code string;
the first HEX code string of each HEX code inserted into the second and third HEX code strings, which has been subjected to the above-described processing, is used as the first encrypted data.
9. An information data processing terminal for implementing the image analysis-based preoperative examination and user terminal interaction method for orthopedics department according to any one of claims 3-8.
10. A terminal module readable storage medium comprising instructions which, when run on a terminal module, cause the terminal module to perform the image analysis based preoperative exam and user terminal interaction method of any one of claims 3-8.
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