CN112472026A - Novel medical internal medicine clinical diagnosis and treatment equipment and method - Google Patents
Novel medical internal medicine clinical diagnosis and treatment equipment and method Download PDFInfo
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Abstract
The invention belongs to the technical field of medical diagnosis, and discloses novel medical internal medicine clinical diagnosis and treatment equipment and a method, wherein the novel medical internal medicine clinical diagnosis and treatment equipment comprises: the device comprises an image acquisition module, a laser scanning module, a positioning module, an illumination intensity detection module, a display module, a central control module, a wireless transmission module, a cloud service module, an image processing module, an illumination intensity adjustment module, a diagnosis analysis module and a treatment module. The image processing module can reduce the influence caused by local shadow and illumination change of the image and can inhibit the interference of noise; and contour information can be captured, further weakening the interference of illumination. The wireless transmission module realizes the transmission of signals through wireless signal transmission equipment; the cloud service module realizes data processing and sharing through the cloud server, and can process data by utilizing a big data technology, so that the treatment efficiency and quality are improved.
Description
Technical Field
The invention belongs to the technical field of medical diagnosis, and particularly relates to novel medical internal medicine clinical diagnosis and treatment equipment and a method.
Background
Currently, medical internal medicine, including respiratory internal medicine, digestive internal medicine, cardiovascular internal medicine, neurology, oncology, endocrinology, hematology, infectious disease, pediatric internal medicine, etc. Respiratory medicine comprises common cold, pneumonia, emphysema, pulmonary tuberculosis, bronchiectasis, asthma, lung cancer, pulmonary heart disease, respiratory failure, chronic bronchitis, pneumothorax, lung abscess, pleural effusion, and interstitial lung disease. The clinical diagnosis refers to the examination of disease by doctors, and the classification and identification of the etiology and pathogenesis of the disease are used as the method and approach for making a treatment plan. The first step in diagnosis is to collect medical history data by asking the patient for subjective symptoms. The medical history can play a role in directing the diagnosis and can prompt clues of the diagnosis. Clinical diagnostic and therapeutic devices play a critical role in achieving the above-described functions. However, in the use process of the existing medical internal medicine clinical diagnosis and treatment equipment, the detection data is not comprehensive, and an optimal quality scheme cannot be accurately provided. Meanwhile, the existing medical internal medicine clinical diagnosis and treatment equipment cannot rapidly and accurately process data in the data processing process.
Through the above analysis, the problems and defects of the prior art are as follows:
(1) the existing medical internal medicine clinical diagnosis and treatment equipment has incomplete detection data in the using process and cannot accurately provide an optimal quality scheme.
(2) The existing medical internal medicine clinical diagnosis and treatment equipment can not process data quickly and accurately in the data processing process.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides novel medical internal medicine clinical diagnosis and treatment equipment and a method.
The invention is realized in such a way that a novel medical internal medicine clinical diagnosis and treatment method comprises the following steps:
the method comprises the following steps that firstly, an image acquisition module acquires blood vessel imaging on a treatment part through a blood vessel imager; the laser scanning module scans the body of the detector through a laser scanner;
step two, the illumination intensity detection module detects the illumination intensity through an illumination sensor; the positioning module acquires the position of the surgical treatment equipment through the positioner;
thirdly, the central control module is respectively connected with the image acquisition module, the laser scanning module, the positioning module, the illumination intensity detection module, the display module, the wireless transmission module, the image processing module, the illumination intensity adjustment module, the diagnosis and analysis module and the treatment module, and coordinates normal operation of the modules;
processing the image by the image processing module through image processing software; the illumination intensity adjusting module adjusts the illumination intensity through the illumination intensity adjuster according to the data detected by the illumination sensor; the diagnosis analysis module processes and diagnoses corresponding data through a diagnosis program; the treatment module realizes the treatment process through automatic equipment according to the treatment scheme;
step five, the wireless transmission module realizes the transmission of signals through wireless signal transmission equipment; the data processing and sharing are realized through the cloud server; the display module is used for displaying corresponding data through a display screen.
Further, in the fourth step, the image processing module processes the image through the image processing software by:
carrying out graying processing on the acquired image, carrying out geometric transformation and enhancing the image;
and after the preprocessing is finished, carrying out feature extraction, image segmentation, matching and identification.
Further, the process of segmenting the image is as follows:
establishing a corresponding image segmentation set for the preprocessed image;
decomposing the histogram of the image into wavelet coefficients of different levels by adopting binary wavelet transform, and selecting a threshold according to a given segmentation criterion and the wavelet coefficients;
and marking the image segmentation area by using the threshold according to the determined threshold.
Further, the process of matching the images is as follows:
extracting the features of the image, and carrying out feature description on the extracted image features;
matching the characteristics of the two images according to the similarity of the descriptors;
wherein the features of the image include: features such as points, lines (edges), regions (faces), etc. may also be divided into local features and global features.
Further, the method for extracting image features comprises the following steps:
establishing an image feature extraction set for the preprocessed image;
graying and normalizing the image characteristics;
calculating the gray value of a pixel in the image, and calculating the gradient of the pixel; dividing the image according to the gradient of the pixels;
establishing a corresponding gradient histogram and describing;
and splicing each region according to the description, and extracting the required image features.
Further, in the fifth step, in the process of signal transmission between the wireless transmission module and the cloud server through the wireless signal transmission device, the method for filtering the wireless signal includes:
establishing a corresponding data transmission set for a signal to be transmitted;
establishing a corresponding sequence, and calculating the average value and the standard deviation of the sequence;
determining the Showverer coefficient according to a table look-up, and determining the Showverer coefficient as an abnormal value when the residual error of a certain measured value is greater than the corresponding Showverer coefficient;
and removing abnormal values from the data to be transmitted, and outputting a group of abnormal values.
Another object of the present invention is to provide a novel medical clinical diagnosis and treatment apparatus for implementing the novel medical clinical diagnosis and treatment method, the novel medical clinical diagnosis and treatment apparatus comprising:
the image acquisition module is connected with the central control module and acquires blood vessel imaging on the treatment part through the blood vessel imager;
the laser scanning module is connected with the central control module and scans the body of the detector through a laser scanner;
the positioning module is connected with the central control module and used for acquiring the position of the treatment surgical equipment through the positioner;
the illumination intensity detection module is connected with the central control module and detects the illumination intensity through the illumination sensor;
the display module is connected with the central control module and used for displaying corresponding data through a display screen;
and the central control module is respectively connected with the image acquisition module, the laser scanning module, the positioning module, the illumination intensity detection module, the display module, the wireless transmission module, the image processing module, the illumination intensity adjustment module, the diagnosis and analysis module and the treatment module, and coordinates the normal operation of each module.
Further, the novel medical internal medicine clinical diagnosis treatment equipment still includes:
the wireless transmission module is connected with the central control module and realizes the transmission of signals through wireless signal transmission equipment;
the cloud service module is connected with the wireless transmission module and used for processing and sharing data through the cloud server;
the image processing module is connected with the central control module and is used for processing the image through image processing software;
the illumination intensity adjusting module is connected with the central control module and adjusts the illumination intensity through the illumination intensity adjuster according to the data detected by the illumination sensor;
the diagnostic analysis module is connected with the central control module and processes and diagnoses the corresponding data through a diagnostic program;
and the treatment module is connected with the central control module and realizes the treatment process according to the treatment scheme through automatic equipment.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface to implement the novel medical clinical diagnosis and treatment method when executed on an electronic device.
Another object of the present invention is to provide a computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the novel medical clinical diagnosis and treatment method.
By combining all the technical schemes, the invention has the advantages and positive effects that:
the invention obtains the blood vessel imaging to the treatment part through the blood vessel imager through the image obtaining module; the laser scanning module scans the body of the detector through a laser scanner; the positioning module acquires the position of the surgical treatment equipment through the positioner; the illumination intensity detection module detects illumination intensity through an illumination sensor; the invention can comprehensively collect corresponding data and improve the treatment precision. The wireless transmission module realizes the transmission of signals through wireless signal transmission equipment; the cloud service module realizes data processing and sharing through the cloud server, and can process data by utilizing a big data technology, so that the treatment efficiency and quality are improved. According to the invention, the image is processed through the image processing module and the image processing software, so that the definition of the image can be improved; the illumination intensity is adjusted by the illumination intensity adjusting module according to the data detected by the illumination sensor through the illumination intensity adjuster.
Meanwhile, the image processing module can reduce the influence caused by local shadow and illumination change of the image and inhibit the interference of noise; and contour information can be captured, further weakening the interference of illumination.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic structural diagram of a novel medical internal medicine clinical diagnosis and treatment device provided by an embodiment of the invention.
Fig. 2 is a flow chart of a novel medical internal medicine clinical diagnosis and treatment method provided by the embodiment of the invention.
Fig. 3 is a flowchart of a method for processing an image by an image processing module according to an embodiment of the present invention.
Fig. 4 is a flowchart of an image segmentation method according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for extracting image features according to an embodiment of the present invention.
In the figure: 1. an image acquisition module; 2. a laser scanning module; 3. a positioning module; 4. an illumination intensity detection module; 5. a display module; 6. a central control module; 7. a wireless transmission module; 8. a cloud service module; 9. an image processing module; 10. an illumination intensity adjusting module; 11. a diagnostic analysis module; 12. a therapy module.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In order to solve the problems in the prior art, the present invention provides a novel medical internal clinical diagnosis and treatment apparatus and method, which are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the novel medical internal medicine clinical diagnosis and treatment device provided by the embodiment of the invention comprises:
the image acquisition module 1 is connected with the central control module 6 and acquires blood vessel imaging on the treatment part through a blood vessel imager.
And the laser scanning module 2 is connected with the central control module 6 and scans the body of the detector through a laser scanner.
And the positioning module 3 is connected with the central control module 6 and acquires the position of the treatment surgical equipment through a positioner.
And the illumination intensity detection module 4 is connected with the central control module 6 and detects the illumination intensity through an illumination sensor.
And the display module 5 is connected with the central control module 6 and used for displaying corresponding data through a display screen.
The central control module 6 is respectively connected with the image acquisition module 1, the laser scanning module 2, the positioning module 3, the illumination intensity detection module 4, the display module 5, the wireless transmission module 7, the image processing module 9, the illumination intensity adjustment module 10, the diagnosis analysis module 11 and the treatment module 12, and coordinates normal operation of each module.
And the wireless transmission module 7 is connected with the central control module 6 and realizes signal transmission through wireless signal transmission equipment.
And the cloud service module 8 is connected with the wireless transmission module 7 and realizes data processing and sharing through a cloud server.
And the image processing module 9 is connected with the central control module 6 and processes the image through image processing software.
And the illumination intensity adjusting module 10 is connected with the central control module 6 and adjusts the illumination intensity through the illumination intensity adjuster according to the data detected by the illumination sensor.
And the diagnosis analysis module 11 is connected with the central control module 6 and processes and diagnoses corresponding data through a diagnosis program.
And the treatment module 12 is connected with the central control module 6 and realizes the treatment process according to the treatment scheme through automatic equipment.
As shown in fig. 2, the novel medical clinical diagnosis and treatment method provided by the embodiment of the invention comprises:
s101: the image acquisition module acquires blood vessel imaging on the treatment part through a blood vessel imager; the laser scanning module scans the body of the detector through a laser scanner.
S102: the illumination intensity detection module detects the illumination intensity through an illumination sensor; the positioning module acquires the position of the treatment surgical equipment through the positioner.
S103: the central control module is respectively connected with the image acquisition module, the laser scanning module, the positioning module, the illumination intensity detection module, the display module, the wireless transmission module, the image processing module, the illumination intensity adjustment module, the diagnosis and analysis module and the treatment module, and coordinates normal operation of the modules.
S104: the image processing module processes the image through image processing software; the illumination intensity adjusting module adjusts the illumination intensity through the illumination intensity adjuster according to the data detected by the illumination sensor; the diagnosis analysis module processes and diagnoses corresponding data through a diagnosis program; the treatment module realizes the treatment process through the automatic equipment according to the treatment scheme.
S105: the wireless transmission module realizes the transmission of signals through wireless signal transmission equipment; the data processing and sharing are realized through the cloud server; the display module is used for displaying corresponding data through a display screen.
In S104 provided by the embodiment of the present invention, the image processing module processes the image through the image processing software by:
s201: carrying out graying processing on the acquired image, carrying out geometric transformation and enhancing the image;
s202: and after the preprocessing is finished, carrying out feature extraction, image segmentation, matching and identification.
The image segmentation process comprises the following steps:
s301: establishing a corresponding image segmentation set for the preprocessed image;
s302: decomposing the histogram of the image into wavelet coefficients of different levels by adopting binary wavelet transform, and selecting a threshold according to a given segmentation criterion and the wavelet coefficients;
s303: and marking the image segmentation area by using the threshold according to the determined threshold.
The image matching process comprises the following steps:
extracting the features of the image, and carrying out feature description on the extracted image features;
and matching the characteristics of the two images according to the similarity of the descriptors.
Wherein the features of the image include: features such as points, lines (edges), regions (faces), etc. may also be divided into local features and global features.
The image feature extraction method comprises the following steps:
s401: establishing an image feature extraction set for the preprocessed image;
s402: graying and normalizing the image characteristics;
s403: calculating the gray value of a pixel in the image, and calculating the gradient of the pixel; dividing the image according to the gradient of the pixels;
s404: establishing a corresponding gradient histogram and describing;
s405: and splicing each region according to the description, and extracting the required image features.
In S105 provided by the embodiment of the present invention, in the process of signal transmission between the wireless transmission module and the cloud server through the wireless signal transmission device, the method for filtering the wireless signal includes:
establishing a corresponding data transmission set for a signal to be transmitted;
establishing a corresponding sequence, and calculating the average value and the standard deviation of the sequence;
determining the Showverer coefficient according to a table look-up, and determining the Showverer coefficient as an abnormal value when the residual error of a certain measured value is greater than the corresponding Showverer coefficient;
and removing abnormal values from the data to be transmitted, and outputting a group of abnormal values.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, and any modification, equivalent replacement, and improvement made by those skilled in the art within the technical scope of the present invention disclosed herein, which is within the spirit and principle of the present invention, should be covered by the present invention.
Claims (10)
1. A novel medical internal medicine clinical diagnosis and treatment method is characterized by comprising the following steps:
converting signals scanned and detected point by point into gray values of single pixels through a blood vessel imager by an image acquisition module, and obtaining a single-layer image after sequentially arranging the gray values to obtain a single-layer section diagram of the tumor microvasculature; simultaneously converting signals detected by point-by-point scanning into gray values of single pixels, sequentially arranging the gray values to obtain a single-layer image, then raising the sample platform by a certain height, repeatedly scanning the sample to obtain a next single-layer image, circulating a certain number of layers in the way, and performing three-dimensional reconstruction on the sequence images to obtain a three-dimensional structural image of the tumor microvasculature;
the laser scanning module scans the body of the detector through a laser scanner;
step two, the illumination intensity detection module acquires a first illumination intensity detected by the first light sensor and a second illumination intensity detected by the second light sensor; judging whether the first illumination intensity and the second illumination intensity are both smaller than a first preset illumination intensity threshold value; if the first illumination intensity and the second illumination intensity are not both smaller than a first preset illumination intensity threshold value, taking the larger value of the first illumination intensity and the second illumination intensity as the environment illumination intensity;
the positioning module acquires the position of the surgical treatment equipment through the positioner;
thirdly, the central control module is respectively connected with the image acquisition module, the laser scanning module, the positioning module, the illumination intensity detection module, the display module, the wireless transmission module, the image processing module, the illumination intensity adjustment module, the diagnosis and analysis module and the treatment module, and coordinates normal operation of the modules;
processing the image by the image processing module through image processing software; the illumination intensity adjusting module adjusts the illumination intensity through the illumination intensity adjuster according to the data detected by the illumination sensor; the diagnosis analysis module processes and diagnoses corresponding data through a diagnosis program;
the treatment module realizes the treatment process through automatic equipment according to the treatment scheme;
step five, the wireless transmission module realizes the transmission of signals through wireless signal transmission equipment; the data processing and sharing are realized through the cloud server; the display module is used for displaying corresponding data through a display screen.
2. The novel medical internal clinical diagnosis and treatment method as set forth in claim 1, wherein in the fourth step, the image processing module processes the image through the image processing software by:
carrying out graying processing on the acquired image, carrying out geometric transformation and enhancing the image;
and after the preprocessing is finished, carrying out feature extraction, image segmentation, matching and identification.
3. The novel medical internal clinical diagnosis and treatment method according to claim 2, wherein the image is segmented by the following steps:
establishing a corresponding image segmentation set for the preprocessed image;
decomposing the histogram of the image into wavelet coefficients of different levels by adopting binary wavelet transform, and selecting a threshold according to a given segmentation criterion and the wavelet coefficients;
and marking the image segmentation area by using the threshold according to the determined threshold.
4. The novel medical internal clinical diagnosis and treatment method according to claim 2, wherein the image matching process comprises:
extracting the features of the image, and carrying out feature description on the extracted image features;
matching the characteristics of the two images according to the similarity of the descriptors;
wherein the features of the image include: features such as points, lines (edges), regions (faces), etc. may also be divided into local features and global features.
5. The novel medical internal medicine clinical diagnosis and treatment method as claimed in claim 2, wherein the image feature extraction method comprises the following steps:
establishing an image feature extraction set for the preprocessed image;
graying and normalizing the image characteristics;
calculating the gray value of a pixel in the image, and calculating the gradient of the pixel; dividing the image according to the gradient of the pixels;
establishing a corresponding gradient histogram and describing;
and splicing each region according to the description, and extracting the required image features.
6. The novel method for clinical diagnosis and treatment in medical department according to claim 1, wherein in the fifth step, the wireless signal filtering method is performed by the wireless transmission module in the process of signal transmission between the wireless transmission module and the cloud server through the wireless signal transmission device, and comprises the following steps:
establishing a corresponding data transmission set for a signal to be transmitted;
establishing a corresponding sequence, and calculating the average value and the standard deviation of the sequence;
determining the Showverer coefficient according to a table look-up, and determining the Showverer coefficient as an abnormal value when the residual error of a certain measured value is greater than the corresponding Showverer coefficient;
and removing abnormal values from the data to be transmitted, and outputting a group of abnormal values.
7. A novel medical internal medicine clinical diagnosis and treatment device for implementing the novel medical internal medicine clinical diagnosis and treatment method according to claims 1-6, wherein the novel medical internal medicine clinical diagnosis and treatment device comprises:
the image acquisition module is connected with the central control module and acquires blood vessel imaging on the treatment part through the blood vessel imager;
the laser scanning module is connected with the central control module and scans the body of the detector through a laser scanner;
the positioning module is connected with the central control module and used for acquiring the position of the treatment surgical equipment through the positioner;
the illumination intensity detection module is connected with the central control module and detects the illumination intensity through the illumination sensor;
the display module is connected with the central control module and used for displaying corresponding data through a display screen;
and the central control module is respectively connected with the image acquisition module, the laser scanning module, the positioning module, the illumination intensity detection module, the display module, the wireless transmission module, the image processing module, the illumination intensity adjustment module, the diagnosis and analysis module and the treatment module, and coordinates the normal operation of each module.
8. The novel medical internal clinical diagnostic and treatment apparatus as set forth in claim 7, further comprising:
the wireless transmission module is connected with the central control module and realizes the transmission of signals through wireless signal transmission equipment;
the cloud service module is connected with the wireless transmission module and used for processing and sharing data through the cloud server;
the image processing module is connected with the central control module and is used for processing the image through image processing software;
the illumination intensity adjusting module is connected with the central control module and adjusts the illumination intensity through the illumination intensity adjuster according to the data detected by the illumination sensor;
the diagnostic analysis module is connected with the central control module and processes and diagnoses the corresponding data through a diagnostic program;
and the treatment module is connected with the central control module and realizes the treatment process according to the treatment scheme through automatic equipment.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for implementing a novel medical clinical diagnostic treatment method according to any one of claims 1 to 6 when executed on an electronic device.
10. A computer-readable storage medium storing instructions which, when executed on a computer, cause the computer to perform the novel medical internal clinical diagnosis and treatment method according to any one of claims 1 to 6.
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