CN113456095A - Remote intelligent inspection system for radiology department - Google Patents
Remote intelligent inspection system for radiology department Download PDFInfo
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- CN113456095A CN113456095A CN202110757578.1A CN202110757578A CN113456095A CN 113456095 A CN113456095 A CN 113456095A CN 202110757578 A CN202110757578 A CN 202110757578A CN 113456095 A CN113456095 A CN 113456095A
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/44—Constructional features of apparatus for radiation diagnosis
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/04—Positioning of patients; Tiltable beds or the like
- A61B6/0492—Positioning of patients; Tiltable beds or the like using markers or indicia for aiding patient positioning
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5294—Devices using data or image processing specially adapted for radiation diagnosis involving using additional data, e.g. patient information, image labeling, acquisition parameters
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus for radiation diagnosis, e.g. combined with radiation therapy equipment
- A61B6/54—Control of apparatus or devices for radiation diagnosis
Abstract
The invention relates to a remote intelligent inspection system for a radiology department. The voice navigation module is arranged, so that the body posture and position of the patient can be intelligently guided to be adjusted, the patient can independently complete the X-ray shooting, and the radiation risk of a doctor is reduced; meanwhile, the images shot in real time can be displayed during displaying, so that the patient can visually see the difference between the two images, the shooting speed of the patient is improved, and the time is saved; the image comparison module is arranged, and the real-time image and the historical image of the patient are compared, so that the optimal shooting parameters are selected, unattended automatic shooting can be realized, the definition and the contrast of the image are improved, the shot image is guaranteed to be available, and meanwhile, the radiation risk of an operating doctor is further reduced. The parameter input module is arranged, so that the photographed patient and the actually registered patient can be ensured to be the same person; in addition, the parameter input module is arranged outdoors, so that the influence of radiation on face recognition can be avoided.
Description
Technical Field
The invention relates to the field of intelligent medical equipment, in particular to a remote intelligent examination system for a radiology department.
Background
The X-ray machine is one of six medical imaging devices, and is a common tool for diagnosing diseases. The rise of digital X-ray machines can greatly increase the speed of taking X-ray images, and meanwhile, the rise of intelligent technologies can intelligently automate the taking of X-ray images.
The proposal CN202010628640.2 discloses a radiology department CT remote control device and a using method thereof, comprising a touch pen, a mobile framework, a controller and a remote controller; the press touch pen comprises a substrate block, a press contact, a press touch sleeve, a spring, a gear, a servo motor I and a camera I, and all the components realize press operation of the press touch pen on a key on the CT operation panel; the moving framework comprises a rack beam, supporting legs, a moving rod and a camera II, and all parts of the moving framework can move back and forth and left and right on the control panel by pressing the touch so as to press different CT operation keys; the remote controller sends out control signals remotely, and the control signals are processed by the controller and then sent to all electronic components, so that the CT remote control device is realized.
It sets up a plurality of cameras and other sensitive equipment in shooting the room, and very easy leads to the damage of these equipment because the radiation, simultaneously because can not intelligent automatic shooting when shooing, still need occupy the manpower and shoot.
Disclosure of Invention
Aiming at the content and solving the problems, the radiology department remote intelligent examination system comprises an intelligent examination controller, a historical image storage module, a shooting display screen, a voice navigation module, a digital X-ray machine, a remote expert terminal, a patient terminal, a shooting parameter input module and an image comparison module;
the system comprises a historical image storage module, a shooting display screen, a voice navigation module, a digital X-ray machine, a remote expert terminal, a patient terminal, a shooting parameter input module and an image comparison module, wherein the historical image storage module is connected to an intelligent examination controller in a wired or wireless mode;
the historical image storage module is used for storing historical X-ray examination data of the patient so as to provide an image comparison reference for X-ray examination;
the digital X-ray machine is used for shooting X-ray pictures, has a three-axis automatic adjusting function and can automatically adjust the shooting angle and distance;
the shooting and displaying display screen is arranged beside the digital X-ray machine and is used for displaying the shot X-ray image in real time and displaying the X-ray image to the patient; simultaneously, the shooting display screen displays an X-ray sample obtained under the shooting of a standard posture, and posture and position reference is provided for a patient;
the voice navigation module compares the position of the X-ray image shot in real time with the position of the X-ray sample, and carries out voice navigation according to the comparison result to guide the patient to adjust the shooting posture and position;
the remote expert terminal is a terminal used by a doctor and used for displaying the shot image transmitted by the intelligent examination controller to the doctor and recording the diagnosis result of the doctor;
the patient terminal is used by a patient, is provided with an NFC label and stores facial information, medical record information and shooting requirements of the patient;
the shooting parameter input module comprises an NFC card reading module, a height and weight detection module and a face recognition module and is used for acquiring facial features of a patient, comparing the facial features with facial information in a patient terminal and judging whether the facial features are the same person or not; the height and weight information of the patient can be recorded and recorded as first height and weight data;
the digital X-ray machine has a height and weight measuring function, is recorded as second height and weight data, can compare the second height and weight data with the first height and weight data, and judges whether the second height and weight data are the same or not; only if the two are the same, X-ray is started for shooting.
The image comparison module compares the X-ray image shot in real time with the historical image stored in the historical image storage module, and automatically adjusts the X-ray shooting parameters according to the comparison result.
Parameters for adjusting the radiography include tube voltage, tube current, and exposure time.
The voice navigation module carries out image segmentation on the X-ray sample and the X-ray image acquired in real time, divides the image into a background area and a skeleton area, then carries out binarization on the image, sets the gray level of the background area to be 0 and the gray level of the skeleton area to be 255;
secondly, calculating the center-of-mass coordinate of the graph of the skeleton area in the whole image area, comparing the center-of-mass coordinate of the skeleton area of the X-ray sample with the center-of-mass coordinate of the skeleton area of the real-time X-ray image, moving the position of the patient through voice navigation, and shooting the X-ray image again until the center-of-mass coordinate of the skeleton area of the X-ray sample is the same as the center-of-mass coordinate of the skeleton area of the real-time X-ray image;
then, the area ratio of the graph of the skeleton area is calculated, the area ratio of the skeleton area of the X-ray sample is compared with the area ratio of the real-time X-ray image, the patient is moved by voice navigation, and the X-ray image is shot again until the area ratio of the skeleton area of the X-ray sample is the same as the area ratio of the skeleton area of the real-time X-ray image.
The historical image storage module stores the X-ray historical picture of the last examination of the patient suffering from the disease, if the patient is the X-ray picture taken for the first time suffering from the disease, another doctor selects an X-ray sample which is the same as the X-ray sample taken by the patient and is taken as the X-ray historical picture at the remote expert terminal;
the image comparison module is used for extracting and comparing the characteristics of the historical X-ray picture and the real-time X-ray picture, and the comparison contents comprise brightness, contrast and matching degree;
firstly, comparing brightness and contrast, adjusting tube voltage, tube current and exposure time according to the brightness and contrast, and re-shooting the X-ray image until the difference between the brightness and the contrast of the X-ray historical picture and the real-time X-ray image is less than 15%;
after the adjustment of the brightness and the contrast is finished, an image comparison module extracts image characteristics of the historical X-ray picture and the real-time X-ray picture, carries out parameter scanning on X-ray shooting parameters under the condition that the difference between the brightness and the contrast of the historical X-ray picture and the real-time X-ray picture is less than 15 percent, namely continuously changes the X-ray shooting parameters, continuously shoots a plurality of X-ray pictures, and searches for an image with the highest matching degree of the historical X-ray picture and the real-time X-ray picture in the shot X-ray pictures to serve as a final shot image; and the image is sent to the intelligent inspection controller, and the intelligent inspection controller sends the image to the remote expert terminal.
The process of extracting the image characteristics of the X-ray historical photo and the real-time X-ray image by the image comparison module is as follows:
firstly, carrying out region division on an image, and dividing the image into n multiplied by n regions according to a preset scheme, wherein 20> n > 10;
then, the arithmetic mean of the gray levels of the images in each small area is calculated to obtain n2The arithmetic mean values form an n multiplied by n matrix;
and then calculating the characteristic vector of the n multiplied by n matrix, and calculating the Mahalanobis distance or Euclidean distance between the characteristic vector of the X-ray historical picture and the characteristic vector of the real-time X-ray image so as to obtain the matching degree of the two images.
The shooting parameter input module is arranged outside the digital X-ray machine and is not influenced by the radiation of the digital X-ray machine; the shooting parameter input module controls a door of a room where the digital X-ray machine is located;
when the NFC card reading module works, the NFC label of the patient terminal is read by the NFC card reading module, the identity of a patient is determined, then the face recognition module carries out recognition, whether the patient is consistent with the patient corresponding to the NFC label is confirmed, namely, whether the patient is the same person is judged by comparing the collected face image with the face information of the patient stored in the patient terminal;
if the human face identification is passed, the shooting parameter input module starts a height and weight detection module to detect the height and weight, first height and weight data are obtained, and then a door of a room where the X-ray machine is located is opened;
the patient measures the second height and weight data in front of the digital X-ray machine, and the digital X-ray machine compares the second height and weight data with the first height and weight data to judge whether the second height and weight data are the same; only if the two images are the same, starting X-ray for shooting;
then, starting a voice navigation module to perform voice navigation and guiding the patient to adjust the posture and the position; and after the posture and the position are adjusted, the image comparison module starts to compare the images, and sends the finally determined image to the remote expert terminal.
The invention has the beneficial effects that:
the voice navigation module is arranged, so that the body posture and position of the patient can be intelligently guided to be adjusted, the patient can independently complete the X-ray shooting, and the radiation risk of a doctor is reduced; meanwhile, the images shot in real time can be displayed during displaying, so that the patient can visually see the difference between the two images, the shooting speed of the patient is improved, and the time is saved;
the image comparison module is arranged for comparing the real-time image and the historical image of the patient, so that the optimal shooting parameter is selected, unattended automatic shooting can be realized, the definition and the contrast of the image are improved, the shot image is ensured to be available, and meanwhile, the radiation risk of an operating doctor is further reduced; the image comparison mode adopts a mode of average gray value feature matrix, the mode can avoid the problem of low matching degree caused by overlarge difference of two images, meanwhile, due to the fact that voice navigation is carried out in the previous step, the two images can be guaranteed to be approximately same in overall structure, and then the efficiency can be improved by carrying out feature comparison.
The parameter input module is arranged, so that the patient entering the shooting and the actually registered patient can be ensured to be the same person, on one hand, the shooting error is avoided, and on the other hand, the shooting substituted by others is also prevented; in addition, the parameter input module is arranged outdoors, so that the influence of radiation on facial recognition can be avoided; meanwhile, the height and weight recognition is carried out after the face recognition is carried out, so that the body of a patient is ensured not to change between two height and weight measurements.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosed subject matter, are incorporated in and constitute a part of this specification. The drawings illustrate the implementations of the disclosed subject matter and, together with the detailed description, serve to explain the principles of implementations of the disclosed subject matter. No attempt is made to show structural details of the disclosed subject matter in more detail than is necessary for a fundamental understanding of the disclosed subject matter and various modes of practicing the same.
FIG. 1 is a schematic diagram of the overall architecture of the present invention;
fig. 2 is an architecture diagram of a photographing parameter input module according to the present invention.
Detailed Description
The advantages, features and methods of accomplishing the same will become apparent from the drawings and the detailed description that follows.
With reference to fig. 1-2, a radiology department remote intelligent examination system comprises an intelligent examination controller, a historical image storage module, a shooting display screen, a voice navigation module, a digital X-ray machine, a remote expert terminal, a patient terminal, a shooting parameter input module and an image comparison module;
the system comprises a historical image storage module, a shooting display screen, a voice navigation module, a digital X-ray machine, a remote expert terminal, a patient terminal, a shooting parameter input module and an image comparison module, wherein the historical image storage module is connected to an intelligent examination controller in a wired or wireless mode;
the historical image storage module is used for storing historical X-ray examination data of the patient so as to provide an image comparison reference for X-ray examination;
the digital X-ray machine is used for shooting X-ray pictures, has a three-axis automatic adjusting function and can automatically adjust the shooting angle and distance;
the shooting and displaying display screen is arranged beside the digital X-ray machine and is used for displaying the shot X-ray image in real time and displaying the X-ray image to the patient; simultaneously, the shooting display screen displays an X-ray sample obtained under the shooting of a standard posture, and posture and position reference is provided for a patient;
the voice navigation module compares the position of the X-ray image shot in real time with the position of the X-ray sample, and carries out voice navigation according to the comparison result to guide the patient to adjust the shooting posture and position;
the remote expert terminal is a terminal used by a doctor and used for displaying the shot image transmitted by the intelligent examination controller to the doctor and recording the diagnosis result of the doctor;
the patient terminal is used by a patient, is provided with an NFC label and stores facial information, medical record information and shooting requirements of the patient;
the shooting parameter input module comprises an NFC card reading module, a height and weight detection module and a face recognition module and is used for acquiring facial features of a patient, comparing the facial features with facial information in a patient terminal and judging whether the facial features are the same person or not; the height and weight information of the patient can be recorded and recorded as first height and weight data;
the digital X-ray machine has a height and weight measuring function, is recorded as second height and weight data, can compare the second height and weight data with the first height and weight data, and judges whether the second height and weight data are the same or not; only if the two are the same, X-ray is started for shooting.
The image comparison module compares the X-ray image shot in real time with the historical image stored in the historical image storage module, and automatically adjusts the X-ray shooting parameters according to the comparison result.
Parameters for adjusting the radiography include tube voltage, tube current, and exposure time.
The voice navigation module carries out image segmentation on the X-ray sample and the X-ray image acquired in real time, divides the image into a background area and a skeleton area, then carries out binarization on the image, sets the gray level of the background area to be 0 and the gray level of the skeleton area to be 255;
secondly, calculating the center-of-mass coordinate of the graph of the skeleton area in the whole image area, comparing the center-of-mass coordinate of the skeleton area of the X-ray sample with the center-of-mass coordinate of the skeleton area of the real-time X-ray image, moving the position of the patient through voice navigation, and shooting the X-ray image again until the center-of-mass coordinate of the skeleton area of the X-ray sample is the same as the center-of-mass coordinate of the skeleton area of the real-time X-ray image;
then, the area ratio of the graph of the skeleton area is calculated, the area ratio of the skeleton area of the X-ray sample is compared with the area ratio of the real-time X-ray image, the patient is moved by voice navigation, and the X-ray image is shot again until the area ratio of the skeleton area of the X-ray sample is the same as the area ratio of the skeleton area of the real-time X-ray image.
The historical image storage module stores the X-ray historical picture of the last examination of the patient suffering from the disease, if the patient is the X-ray picture taken for the first time suffering from the disease, another doctor selects an X-ray sample which is the same as the X-ray sample taken by the patient and is taken as the X-ray historical picture at the remote expert terminal;
the image comparison module is used for extracting and comparing the characteristics of the historical X-ray picture and the real-time X-ray picture, and the comparison contents comprise brightness, contrast and matching degree;
firstly, comparing brightness and contrast, adjusting tube voltage, tube current and exposure time according to the brightness and contrast, and re-shooting the X-ray image until the difference between the brightness and the contrast of the X-ray historical picture and the real-time X-ray image is less than 15%;
after the adjustment of the brightness and the contrast is finished, an image comparison module extracts image characteristics of the historical X-ray picture and the real-time X-ray picture, carries out parameter scanning on X-ray shooting parameters under the condition that the difference between the brightness and the contrast of the historical X-ray picture and the real-time X-ray picture is less than 15 percent, namely continuously changes the X-ray shooting parameters, continuously shoots a plurality of X-ray pictures, and searches for an image with the highest matching degree of the historical X-ray picture and the real-time X-ray picture in the shot X-ray pictures to serve as a final shot image; and the image is sent to the intelligent inspection controller, and the intelligent inspection controller sends the image to the remote expert terminal.
The process of extracting the image characteristics of the X-ray historical photo and the real-time X-ray image by the image comparison module is as follows:
firstly, carrying out region division on an image, and dividing the image into n multiplied by n regions according to a preset scheme, wherein 20> n > 10;
then, the arithmetic mean of the gray levels of the images in each small area is calculated to obtain n2The arithmetic mean values form an n multiplied by n matrix;
and then calculating the characteristic vector of the n multiplied by n matrix, and calculating the Mahalanobis distance or Euclidean distance between the characteristic vector of the X-ray historical picture and the characteristic vector of the real-time X-ray image so as to obtain the matching degree of the two images.
The shooting parameter input module is arranged outside the digital X-ray machine and is not influenced by the radiation of the digital X-ray machine; the shooting parameter input module controls a door of a room where the digital X-ray machine is located;
when the NFC card reading module works, the NFC label of the patient terminal is read by the NFC card reading module, the identity of a patient is determined, then the face recognition module carries out recognition, whether the patient is consistent with the patient corresponding to the NFC label is confirmed, namely, whether the patient is the same person is judged by comparing the collected face image with the face information of the patient stored in the patient terminal;
if the human face identification is passed, the shooting parameter input module starts a height and weight detection module to detect the height and weight, first height and weight data are obtained, and then a door of a room where the X-ray machine is located is opened;
the patient measures the second height and weight data in front of the digital X-ray machine, and the digital X-ray machine compares the second height and weight data with the first height and weight data to judge whether the second height and weight data are the same; only if the two images are the same, starting X-ray for shooting;
then, starting a voice navigation module to perform voice navigation and guiding the patient to adjust the posture and the position; and after the posture and the position are adjusted, the image comparison module starts to compare the images, and sends the finally determined image to the remote expert terminal.
During actual shooting, the doctor on duty is direct at outpatient service or ward operation expert terminal, and the patient goes to the shooting position by oneself and shoots, and equipment accomplishes intelligence automatically and shoots, guarantees that the result of shooing is available, uses manpower sparingly, reduces the radiation risk.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (6)
1. The utility model provides a remote intelligent inspection system of radiology department which characterized in that: the system comprises an intelligent inspection controller, a historical image storage module, a shooting display screen, a voice navigation module, a digital X-ray machine, a remote expert terminal, a patient terminal, a shooting parameter input module and an image comparison module;
the system comprises a historical image storage module, a shooting display screen, a voice navigation module, a digital X-ray machine, a remote expert terminal, a patient terminal, a shooting parameter input module and an image comparison module, wherein the historical image storage module is connected to an intelligent examination controller in a wired or wireless mode;
the historical image storage module is used for storing historical X-ray examination data of the patient so as to provide an image comparison reference for X-ray examination;
the digital X-ray machine is used for shooting X-ray pictures, has a three-axis automatic adjusting function and can automatically adjust the shooting angle and distance;
the shooting and displaying display screen is arranged beside the digital X-ray machine and is used for displaying the shot X-ray image in real time and displaying the X-ray image to the patient; simultaneously, the shooting display screen displays an X-ray sample obtained under the shooting of a standard posture, and posture and position reference is provided for a patient;
the voice navigation module compares the position of the X-ray image shot in real time with the position of the X-ray sample, and carries out voice navigation according to the comparison result to guide the patient to adjust the shooting posture and position;
the remote expert terminal is a terminal used by a doctor and used for displaying the shot image transmitted by the intelligent examination controller to the doctor and recording the diagnosis result of the doctor;
the patient terminal is used by a patient, is provided with an NFC label and stores facial information, medical record information and shooting requirements of the patient;
the shooting parameter input module comprises an NFC card reading module, a height and weight detection module and a face recognition module and is used for acquiring facial features of a patient, comparing the facial features with facial information in a patient terminal and judging whether the facial features are the same person or not; the height and weight information of the patient can be recorded and recorded as first height and weight data;
the digital X-ray machine has a height and weight measuring function, is recorded as second height and weight data, can compare the second height and weight data with the first height and weight data, and judges whether the second height and weight data are the same or not; only if the two images are the same, starting X-ray for shooting;
the image comparison module compares the X-ray image shot in real time with the historical image stored in the historical image storage module, and automatically adjusts the X-ray shooting parameters according to the comparison result.
2. The radiology department remote intelligent examination system of claim 1, wherein:
parameters for adjusting the radiography include tube voltage, tube current, and exposure time.
3. The radiology department remote intelligent examination system of claim 1, wherein:
the voice navigation module carries out image segmentation on the X-ray sample and the X-ray image acquired in real time, divides the image into a background area and a skeleton area, then carries out binarization on the image, sets the gray level of the background area to be 0 and the gray level of the skeleton area to be 255;
secondly, calculating the center-of-mass coordinate of the graph of the skeleton area in the whole image area, comparing the center-of-mass coordinate of the skeleton area of the X-ray sample with the center-of-mass coordinate of the skeleton area of the real-time X-ray image, moving the position of the patient through voice navigation, and shooting the X-ray image again until the center-of-mass coordinate of the skeleton area of the X-ray sample is the same as the center-of-mass coordinate of the skeleton area of the real-time X-ray image;
then, the area ratio of the graph of the skeleton area is calculated, the area ratio of the skeleton area of the X-ray sample is compared with the area ratio of the real-time X-ray image, the patient is moved by voice navigation, and the X-ray image is shot again until the area ratio of the skeleton area of the X-ray sample is the same as the area ratio of the skeleton area of the real-time X-ray image.
4. The radiology department remote intelligent examination system of claim 1, wherein:
the historical image storage module stores the X-ray historical picture of the last examination of the patient suffering from the disease, if the patient is the X-ray picture taken for the first time suffering from the disease, another doctor selects an X-ray sample which is the same as the X-ray sample taken by the patient and is taken as the X-ray historical picture at the remote expert terminal;
the image comparison module is used for extracting and comparing the characteristics of the historical X-ray picture and the real-time X-ray picture, and the comparison contents comprise brightness, contrast and matching degree;
firstly, comparing brightness and contrast, adjusting tube voltage, tube current and exposure time according to the brightness and contrast, and re-shooting the X-ray image until the difference between the brightness and the contrast of the X-ray historical picture and the real-time X-ray image is less than 15%;
after the adjustment of the brightness and the contrast is finished, an image comparison module extracts image characteristics of the historical X-ray picture and the real-time X-ray picture, carries out parameter scanning on X-ray shooting parameters under the condition that the difference between the brightness and the contrast of the historical X-ray picture and the real-time X-ray picture is less than 15 percent, namely continuously changes the X-ray shooting parameters, continuously shoots a plurality of X-ray pictures, and searches for an image with the highest matching degree of the historical X-ray picture and the real-time X-ray picture in the shot X-ray pictures to serve as a final shot image; and the image is sent to the intelligent inspection controller, and the intelligent inspection controller sends the image to the remote expert terminal.
5. The radiology department remote intelligent examination system of claim 4, wherein:
the process of extracting the image characteristics of the X-ray historical photo and the real-time X-ray image by the image comparison module is as follows:
firstly, carrying out region division on an image, and dividing the image into n multiplied by n regions according to a preset scheme, wherein 20> n > 10;
then, the arithmetic mean of the gray levels of the images in each small area is calculated to obtain n2The arithmetic mean values form an n multiplied by n matrix;
and then calculating the characteristic vector of the n multiplied by n matrix, and calculating the Mahalanobis distance or Euclidean distance between the characteristic vector of the X-ray historical picture and the characteristic vector of the real-time X-ray image so as to obtain the matching degree of the two images.
6. The radiology department remote intelligent examination system of claim 1, wherein:
the shooting parameter input module is arranged outside the digital X-ray machine and is not influenced by the radiation of the digital X-ray machine; the shooting parameter input module controls a door of a room where the digital X-ray machine is located;
when the NFC card reading module works, the NFC label of the patient terminal is read by the NFC card reading module, the identity of a patient is determined, then the face recognition module carries out recognition, whether the patient is consistent with the patient corresponding to the NFC label is confirmed, namely, whether the patient is the same person is judged by comparing the collected face image with the face information of the patient stored in the patient terminal;
if the human face identification is passed, the shooting parameter input module starts a height and weight detection module to detect the height and weight, first height and weight data are obtained, and then a door of a room where the X-ray machine is located is opened;
the patient measures the second height and weight data in front of the digital X-ray machine, and the digital X-ray machine compares the second height and weight data with the first height and weight data to judge whether the second height and weight data are the same; only if the two images are the same, starting X-ray for shooting;
then, starting a voice navigation module to perform voice navigation and guiding the patient to adjust the posture and the position; and after the posture and the position are adjusted, the image comparison module starts to compare the images, and sends the finally determined image to the remote expert terminal.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115192057A (en) * | 2022-09-15 | 2022-10-18 | 威海市博华医疗设备有限公司 | CT-based composite imaging method and device |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115192057A (en) * | 2022-09-15 | 2022-10-18 | 威海市博华医疗设备有限公司 | CT-based composite imaging method and device |
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Application publication date: 20211001 |