CN109394180B - Knee osteoarthritis telemedicine system based on infrared imaging - Google Patents
Knee osteoarthritis telemedicine system based on infrared imaging Download PDFInfo
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Abstract
The invention relates to a knee osteoarthritis remote diagnosis and treatment system based on infrared imaging, which comprises a detection room, a computer, a thermal image processing module, a network and a diagnosis and treatment terminal, wherein the detection room is provided with a temperature control device, a timer, an angle calibration component, a distance calibration component, a marker and a thermal infrared imager; the thermal image processing module is used for extracting the position of the marker and calculating and extracting the temperature of the following five areas by taking the position as a reference: a 2cm × 2cm area of the medial tibial plateau, a 2cm × 2cm area of the lateral tibial plateau, a 2cm × 2cm area of the medial femoral condyle, a 2cm × 2cm area of the lateral femoral condyle, and a 2cm × 1cm area of the suprapatellar; the network transmits the result extracted by the thermal image processing module to the diagnosis and treatment terminal so that the doctor can make further diagnosis. The invention can remotely provide accurate knee joint skin temperature values for patients with knee osteoarthritis for doctors and specialists so as to help the doctors and specialists to carry out early diagnosis and plan treatment schemes and benefit the patients.
Description
Technical Field
The invention relates to the technical field of medical equipment, in particular to a knee osteoarthritis remote diagnosis and treatment system based on infrared imaging.
Background
The infrared thermal imaging is a functional diagnostic technology for passively receiving the infrared radiation of a human body, does not contact the human body, does not emit radiation, does not have any damage or side effect on the human body, and can detect, record and image the temperature of the surface and a hot area of the human body. The infrared thermograph can provide temperature contrast information of a detected area, and qualitatively and quantitatively detect the detected area. The remote diagnosis and treatment technology can digitally collect relevant information of the patient, collected information data is uploaded to the cloud server through the Internet, and a doctor expert can see the information of the patient through the client to realize remote diagnosis.
With the advent of an aging society, the incidence of knee osteoarthritis has gradually increased, and it is particularly important to reinforce early prevention. However, the structural pathological changes often occur in the middle and late stages of osteoarthritis, and many patients often miss the optimal treatment opportunity due to the late diagnosis period. At present, it is known that the local skin temperature of the knee joint of a patient with knee osteoarthritis can reflect the occurrence and development conditions of the knee osteoarthritis at an early stage, and can also be used for assisting the traditional Chinese medicine syndrome diagnosis of the knee osteoarthritis. In addition, a paper published in journal of traditional Chinese medicine bonesetting in 2016 (5 th year) "application of infrared thermal imaging technology in traditional Chinese medicine treatment of knee osteoarthritis curative effect evaluation", discusses the application value of infrared thermal imaging technology in traditional Chinese medicine treatment of knee osteoarthritis curative effect evaluation through clinical experiments, confirms that the change of knee joint temperature on infrared thermograph before and after traditional Chinese medicine treatment of knee osteoarthritis patients can reflect the clinical treatment effect to a certain extent, and thus provides objective basis for traditional Chinese medicine treatment of knee osteoarthritis curative effect evaluation. Patent document CN107280644A, published japanese patent No. 2017.10.24, discloses a knee osteoarthritis course detection method based on near-infrared light, which first adopts an image segmentation processing technology to process a clinical knee joint CT picture, leaves muscle and bone tissue parts, and performs gray contrast value enhancement and edge extraction; and then based on the processed CT picture, respectively simulating the internal motion tracks of the near-infrared photons in the knee joint at the early stage, the middle stage and the late stage of arthritis by analyzing the optical characteristic parameters of synovial fluid of the joint cavity by adopting a Monte Carlo method, finally fitting the infrared photon emission distribution characteristics under different disease courses by a Gaussian function, and judging the disease condition of the patient by taking the effective photon emission rate and the symmetry axis coordinate of the fitting function as double indexes.
However, there is no remote diagnosis and treatment technology for gonarthritis at present, and the remote diagnosis and treatment technology relying only on radiographic images such as X-rays or CT is not complete and comprehensive enough for disease information collected by patients with gonarthritis, and accurate early diagnosis is difficult to perform. How to overcome the defect, realize the remote diagnosis and treatment of the knee osteoarthritis and promote the accurate early diagnosis of the knee osteoarthritis is a difficult problem to overcome urgently. Relevant reports are not found temporarily.
Disclosure of Invention
The invention aims to provide a knee osteoarthritis remote diagnosis and treatment system based on infrared imaging, aiming at the defects in the prior art.
It is a further object of the present invention to provide a method for studying knee osteoarthritis based on infrared imaging for non-diagnostic and therapeutic purposes.
Another object of the present invention is to provide a knee osteoarthritis testing table based on infrared imaging.
In order to achieve the first purpose, the invention adopts the technical scheme that:
a knee osteoarthritis remote diagnosis and treatment system based on infrared imaging comprises a detection chamber (1), wherein a temperature control device (2) used for controlling the temperature of the detection chamber (1), a timer (3) used for timing, an angle calibration component (4) used for calibrating angles, a distance calibration component (5) used for calibrating distances, a marker (6) used as a reference object and an infrared thermal imager (7) used for acquiring an infrared thermal image of a knee joint are arranged in the detection chamber (1); the system also comprises a computer (8), a thermal image processing module (9), a network (10) and a diagnosis and treatment terminal (11); the thermal image processing module (9) is used for extracting the position of the marker (6), taking the marker (6) as a reference object, and calculating and extracting the temperatures of the following five areas: a 2cm × 2cm area of the medial tibial plateau, a 2cm × 2cm area of the lateral tibial plateau, a 2cm × 2cm area of the medial femoral condyle, a 2cm × 2cm area of the lateral femoral condyle, and a 2cm × 1cm area of the suprapatellar; the network (10) transmits the result extracted by the thermal image processing module (9) to the diagnosis terminal (11), and the diagnosis terminal (11) is used for doctors to obtain the result extracted by the thermal image processing module (9) so as to further make diagnosis.
As a preferred scheme of the invention, the thermal image processing module (9) comprises a marker identification sub-module (91), a position calculation sub-module (92) and a temperature conversion sub-module (93); the marker identification submodule (91) is used for identifying the position of the marker (6); the position calculation submodule (92) further comprises a medial tibial plateau 2cm multiplied by 2cm area extraction unit (921), a lateral tibial plateau 2cm multiplied by 2cm area extraction unit (922), a femoral medial condyle 2cm multiplied by 2cm area extraction unit (923), a femoral lateral condyle 2cm multiplied by 2cm area extraction unit (924) and a patella 2cm multiplied by 1cm area extraction unit (925), wherein the medial tibial plateau 2cm multiplied by 2cm area extraction units are respectively used for calculating and extracting corresponding areas by taking the marker (6) as a reference object; the temperature conversion submodule (93) is used for calculating the temperatures of the five areas extracted by the position calculation submodule (92).
As a preferred example, the thermal image processing module (9) further includes a total skin temperature calculation sub-module (94) for calculating the average temperature of the five regions to obtain the total skin temperature of the knee joint.
As another preferred scheme of the invention, the angle calibration component (4), the distance calibration component (5), the marker (6) and the thermal infrared imager (7) are integrated on the detection table (20); the detection table (20) is provided with a bottom plate (201), the bottom plate (201) is provided with a placing rack (202), and the placing rack (202) is further provided with a fixing seat (203) for fixing the thermal infrared imager (7) and a storage box (204) for storing the marker (6); the angle calibration component (4) is arranged on the upper surface of the bottom plate (201), and specifically comprises a central line (41) and a plurality of angle lines (42) which are positioned on two sides of the central line (41) and form 15-degree included angles with the central line (41); the lower end of the placing rack (202) is positioned on a central line (41); the distance calibration assembly (5) comprises a calibration plate (51) and a support (52), the upper end of the support (52) is movably connected with the calibration plate (51), the lower end of the support (52) is connected onto the bottom plate (201), and the horizontal distance from the calibration plate (51) to a lens of the thermal infrared imager (7) is 76.2 cm.
As another preferable scheme of the invention, the temperature control device (2) controls the temperature of the detection chamber (1) to be 23 +/-3 ℃.
As another preferable scheme of the invention, the timer (3) is used for calculating time to ensure that the patient is exposed to the affected knee joint in the detection chamber (1) with constant temperature for 10 minutes or more.
As another preferable scheme of the invention, the angle calibration component (4) is used for calibrating the angle, and the 15-degree external rotation standing position is adopted when the patient is detected.
As another preferable scheme of the invention, the distance calibration component (5) is used for calibrating the distance to ensure that the constant distance between the lens of the thermal infrared imager (7) and the knee joint is kept at 76.2cm during patient detection.
In order to achieve the second object, the invention adopts the technical scheme that:
a method for infrared imaging-based study of knee osteoarthritis for non-diagnostic and therapeutic purposes, comprising the steps of:
step S1: adjusting the temperature of a detection chamber to 23 +/-3 ℃ by using a temperature control device, exposing the knee joint at the affected side of a subject in the detection chamber with constant temperature for 10 minutes or more, adopting a 15-degree foot outward rotation standing position by using an angle calibration component, keeping a constant distance of 76.2cm between a lens of a thermal infrared imager and the knee joint, marking a patella by using a marker, and acquiring an infrared image of the knee joint of the subject by using the thermal infrared imager;
step S2: and (3) introducing the infrared thermal image into a computer, and extracting the temperatures of the following five areas through an image processing module: a 2cm × 2cm area of the medial tibial plateau, a 2cm × 2cm area of the lateral tibial plateau, a 2cm × 2cm area of the medial femoral condyle, a 2cm × 2cm area of the lateral femoral condyle, and a 2cm × 1cm area of the suprapatellar;
step S3: transmitting the collected information data of the skin temperature of the knee joint related area to a terminal through a network;
step S4: structural lesion at joints of the testee is detected through routine examination, the testee is divided into a healthy group and a knee osteoarthritis group, the temperature difference of the two groups of knee joints is compared, and the relationship between the temperature of the knee joints and the occurrence or development of the knee osteoarthritis is researched.
In order to achieve the third object, the invention adopts the technical scheme that:
a knee osteoarthritis detection table based on infrared imaging is provided with a bottom plate (201), a placement frame (202) is arranged on the bottom plate (201), and a fixed seat (203) for fixing a thermal infrared imager (7) and a storage box (204) for storing a marker (6) are further arranged on the placement frame (202); the angle calibration component (4) is arranged on the upper surface of the bottom plate (201), and specifically comprises a central line (41) and a plurality of angle lines (42) which are positioned on two sides of the central line (41) and form 15-degree included angles with the central line (41); the lower end of the placing rack (202) is positioned on a central line (41); the distance calibration assembly (5) comprises a calibration plate (51) and a support (52), the upper end of the support (52) is movably connected with the calibration plate (51), the lower end of the support (52) is connected onto the bottom plate (201), and the horizontal distance from the calibration plate (51) to a lens of the thermal infrared imager (7) is 76.2 cm.
The invention has the advantages that:
1. the knee osteoarthritis remote diagnosis and treatment system based on infrared thermal imaging is provided, the selected knee joint temperature acquisition area is obtained through a large amount of researches, accurate knee joint skin temperature values of knee osteoarthritis patients can be provided for doctors and specialists, and accurate early diagnosis and treatment scheme drawing-up of the doctors and the specialists are facilitated.
2. The invention can realize the remote diagnosis and treatment of knee osteoarthritis patients by doctors and specialists, standardizes and digitizes the knee joint skin temperature data of the patients, transmits the data to the doctors and specialists in an internet mode, and diagnoses and prescribes by the doctors and the specialists. Therefore, doctors and patients are not limited by regions, and time and money are saved. (2) The doctor expert can directly obtain the temperature data of the local knee joint of the patient without palpating the patient, the condition of the patient can be reflected more objectively, and the possibility of error judgment of the doctor and the patient is avoided. (3) Can provide a completely noninvasive and low-cost auxiliary examination means for patients with knee osteoarthritis.
3. The invention is helpful for the development of the deep research on the relationship and mechanism between the knee joint temperature and the occurrence and development of knee osteoarthritis.
Drawings
FIG. 1 is a structural block diagram of a knee osteoarthritis remote diagnosis and treatment system based on infrared imaging.
Figures 2 and 3 are schematic diagrams of knee joint detection using the infrared imaging-based knee osteoarthritis telemedicine system of the invention.
FIG. 4 is a block diagram of another infrared imaging-based knee osteoarthritis telemedicine system according to the present invention.
FIG. 5 is a schematic view of the structure of the test station.
Detailed Description
The following detailed description of the present invention will be made with reference to the accompanying drawings.
The reference numerals and components referred to in the drawings are as follows:
1. detection room 2 temperature control device
3. Timer 4. angle calibration assembly
5. Distance calibration assembly 6. marker
7. Thermal infrared imager 8. computer
9. Thermal image processing module 91 marker identification sub-module
92. Position calculation submodule 93, temperature conversion submodule
94. Total skin temperature calculation submodule 10, network
11. Diagnosis and treatment terminal
921. 2cm multiplied by 2cm area extraction unit for medial tibial plateau
922. 2cm multiplied by 2cm region extraction unit for lateral tibial plateau
923. 2cm multiplied by 2cm area extraction unit for medial femoral condyle
924. 2cm multiplied by 2cm area extraction unit for lateral femoral condyle
925. Extraction unit for 2cm multiplied by 1cm area on patella
20. Detection table 201, bottom plate
202. Placing rack 203, fixing seat
204. Storage box 41, center line
42. Angle line 51, calibration plate
52. Support frame
Example 1 knee osteoarthritis remote diagnosis and treatment system (I) based on infrared imaging
Referring to fig. 1, fig. 1 is a block diagram illustrating a knee osteoarthritis remote diagnosis and treatment system based on infrared imaging according to the present invention. The knee osteoarthritis remote diagnosis and treatment system based on infrared imaging comprises a detection chamber 1, wherein a temperature control device 2 is arranged in the detection chamber 1, and a timer 3, an angle calibration component 4, a distance calibration component 5, a marker 6 and a thermal infrared imager 7 are further arranged in the detection chamber 1. The detection room 1 may be a bedroom of a home. The temperature control device 2 may be an air conditioner for controlling the temperature of the detection chamber 1, and the temperature of the detection chamber 1 is generally controlled to be 23 +/-3 ℃. The timer 3 is used to calculate the time to ensure that the patient is exposed to the affected knee joint in the constant temperature detection chamber 1 for 10 minutes or more. The angle calibration component 4 is used for calibrating an angle, a 15-degree foot outward rotation standing position is adopted when the patient is detected, and the angle calibration component 4 can be a protractor. The distance calibration component 5 is used for calibrating the distance, so that a constant distance (76.2cm) is kept between the lens of the thermal infrared imager 7 and the knee joint when the patient is detected, and the distance calibration component 5 can be a measuring ruler. The marker 6 is used for being placed on the patella of the knee joint to be detected as a reference object so as to facilitate the subsequent extraction of a specific skin area, and the marker 6 is preferably a stainless steel circular sheet with the diameter of 2 cm. The thermal infrared imager 7 is used for acquiring an infrared thermal image of the detected knee joint.
The knee osteoarthritis remote diagnosis and treatment system based on infrared imaging further comprises a computer 8, the computer 8 comprises a thermal image processing module 9, the thermal image processing module 9 is used for extracting the position of the marker 6, taking the marker 6 as a reference, and calculating and extracting the temperature of the following five areas: a 2cm x 2cm area of the medial tibial plateau, a 2cm x 2cm area of the lateral tibial plateau, a 2cm x 2cm area of the medial femoral condyle, a 2cm x 2cm area of the lateral femoral condyle, and a 2cm x 1cm area of the suprapatellar. Specifically, the thermal image processing module 9 includes a marker recognition submodule 91, a position calculation submodule 92, a temperature conversion submodule 93 and a total skin temperature calculation submodule 94, the marker recognition submodule 91 is used for recognizing the position of the marker 6, the position calculation submodule 92 further includes a medial tibial plateau 2cm × 2cm area extraction unit 921, a lateral tibial plateau 2cm × 2cm area extraction unit 922, a femoral medial condyle 2cm × 2cm area extraction unit 923, a femoral lateral condyle 2cm × 2cm area extraction unit 924 and a patella 2cm × 1cm area extraction unit 925, which are respectively used for calculating and extracting corresponding areas by using the marker 6 as a reference. The temperature conversion submodule 93 is used for calculating the temperatures of the five regions extracted by the position calculation submodule 92. The total skin temperature calculation submodule 94 is configured to calculate average temperatures of the five regions to obtain a total skin temperature of the knee joint.
The knee osteoarthritis remote diagnosis and treatment system based on infrared imaging further comprises a network 10 and a diagnosis and treatment terminal 11. The network 10 transmits the temperatures of the five regions extracted by the thermal image processing module 9 to the diagnosis and treatment terminal 11. The network 10 may be a wired network or a wireless network, such as commonly used optical fiber, WIFI, 3G, 4G, etc. The diagnosis and treatment terminal 11 is used for doctors to obtain the temperature of the above five regions of the knee joint of the patient so as to further diagnose the knee osteoarthritis, and the diagnosis and treatment terminal 11 can be a PC terminal, a mobile phone terminal or a tablet device.
The operation method for performing the knee osteoarthritis remote diagnosis and treatment by applying the knee osteoarthritis remote diagnosis and treatment system based on the infrared imaging comprises the following steps:
step S1: the temperature of a detection room 1 (such as a bedroom at home) is adjusted to about 23 ℃ by a temperature control device 2 (such as an air conditioner), the temperature is kept to be not greatly fluctuated, a patient is exposed to the knee joint at the affected side in the detection room 1 with constant temperature for 10 minutes (the time is determined by a timer), the patient stands by adopting a 15-degree external rotation foot by an angle calibration component 4, and then skin temperature information is acquired for the knee joint of the patient. Keeping a constant distance (76.2cm, determining the distance by using a distance calibration component 5) between a lens of a thermal infrared imager 7 and a knee joint, marking a marker 6 with the diameter of 2cm on the patella (see fig. 2 in detail), receiving infrared radiation of the knee joint of a patient by the lens of the thermal infrared imager 7, enabling the infrared radiation of the knee joint to reach an infrared detector after interference and diffraction of a grating, and finally reflecting an energy distribution pattern on a photosensitive element of the infrared detector so as to obtain an infrared thermal image.
Step S2: after the infrared thermal image is obtained, the infrared thermal image is imported into a computer 8, and the temperature of the following 5 areas is extracted through an image processing module 9: a 2cm x 2cm area of the medial tibial plateau, a 2cm x 2cm area of the lateral tibial plateau, a 2cm x 2cm area of the medial femoral condyle, a 2cm x 2cm area of the lateral femoral condyle, and a 2cm x 1cm area of the suprapatellar (see fig. 3 for details).
Step S3: the collected information data of the skin temperature of the knee joint related region is sent to a diagnosis and treatment terminal 11 of a doctor expert through a network 10.
Step S4: the skin temperature of the local knee joint of the patient is visually displayed through the information data of the infrared thermograph of the knee joint of the patient, and diagnosis is carried out by a doctor expert.
By utilizing the knee osteoarthritis remote diagnosis and treatment system based on infrared imaging, a doctor expert can remotely diagnose and treat a knee osteoarthritis patient, knee joint skin temperature data of the patient is standardized and digitalized and is transmitted to the doctor expert through an internet mode, and the doctor expert diagnoses and prescribes the knee osteoarthritis patient. The invention can better solve the defects of knee osteoarthritis diagnosis and treatment in the prior art: 1. the doctor experts and the patient are not limited by regions, and time and money are saved. 2. The doctor expert can directly obtain the temperature data of the local knee joint of the patient without palpating the patient, the condition of the patient can be reflected more objectively, and the possibility of error judgment of the doctor and the patient is avoided. 3. Can provide a completely noninvasive and low-cost auxiliary examination means for patients with knee osteoarthritis. The knee osteoarthritis remote diagnosis and treatment system based on infrared imaging is used for collecting infrared thermal images, the knee joint to be detected needs to be exposed to the knee joint at the affected side for 10 minutes or more in a constant temperature environment of about 23 ℃, a 15-degree foot external rotation standing position is adopted, and a constant distance (76.2cm) is kept between a lens of an infrared thermal imager and the knee joint during detection, so that the temperature of five areas such as an area of an inner tibial plateau of 2cm multiplied by 2cm can be accurately collected. The five regions are obtained by the inventor of the application according to rich clinical experience summary, and the average temperature of the regions has important significance for further diagnosing and treating knee osteoarthritis of patients. Analysis after extraction of the average temperature of the entire knee and five regions of interest was performed by the infraec Analyzer software: five areas, namely a 2cm multiplied by 2cm area of the medial tibial plateau (medial tibial plateau area, medial knee eye), a 2cm multiplied by 2cm area of the lateral tibial plateau (lateral tibial plateau area, lateral knee eye), a 2cm multiplied by 2cm area of the medial femoral condyle (medial femoral condyle area, blood sea area), a 2cm multiplied by 2cm area of the lateral femoral condyle (lateral femoral condyle area, hillock area) and a 2cm multiplied by 1cm area of the suprapatellar area (suprapatellar area, crane crest area), are determined, the average temperature of the five areas is calculated, and the average value is the total skin temperature of the knee joint. The skin temperature in these several areas is related to the symptoms of the knee joint. Empirically, most patients with knee osteoarthritis have varying degrees of clinical symptoms in these areas, also due to obstruction of qi and blood. Ancient cloud: similarly, the "inside-plunger outside the driver" can reflect the change of skin temperature from the outside to the outside due to the obstruction of qi movement and the obstruction of blood circulation. The knee and eye belongs to local acupoint selection, has the effects of dispelling wind and cold, dredging channels and collaterals, benefiting joints and relieving arthralgia, and has quick effect on penetrating tendons to reach bones and acupuncture points. Bending the knee, called the medial knee eye at the depression on both sides of the patellar ligament, and called the lateral knee eye at the lateral side. This point is the extra-meridian point, and is recorded in Yuqiaoge Song: the marrow bone can cure the symptoms of leg pain, red and swollen knee head, and the symptoms of the knee eye and knee joint are all the main cause. The blood sea is the channel point that helps blood flow back to the sea, such as river, and returns to the spleen. This point is originated from the "acupuncture points" in the spleen meridian of foot taiyin, and is the place where qi and blood are gathered and the scope of the meridian is large, so it is named blood sea. Therefore, it can be known that the blood sea is the first main point for activating blood and transforming heat, and acts on degenerative arthritis to nourish blood and activate blood locally. The beam mound is located at the meridian point where the anterior thigh muscles project like a hill, while the high place is called the mound and the back side is called the beam. The qiu is the Zheng acupoint of stomach meridian, has the effects of dredging the meridian passage, activating collaterals, regulating qi and harmonizing stomach, and is widely used clinically because of its compatibility with Zusanli. The top of the crane is named because the skeleton looks like the top of the crane head. In the book of "Zhenggaozheng" (great surgical record), the original name of the Crane crown is the top of the knee, which is indicated for arthroncus of the knee, beriberi, lower limb Yong disease, gonarthritis, etc. In our study, it was found that the average temperature of these five regions of the knee joint correlated with symptoms of pain, stiffness and function in the knee joint of the patient. The higher the average temperature in these areas, the more severe the condition of the knee joint of the patient. Therefore, by acquiring the temperatures of the five regions, the accuracy of diagnosis and treatment can be ensured.
Referring to fig. 4, fig. 4 is a block diagram illustrating another infrared imaging-based knee osteoarthritis telemedicine system according to the present invention. The knee osteoarthritis remote diagnosis and treatment system based on infrared imaging comprises a detection chamber 1, wherein a temperature control device 2 is arranged in the detection chamber 1, and a timer 3, an angle calibration component 4, a distance calibration component 5, a marker 6 and a thermal infrared imager 7 are further arranged in the detection chamber 1. The detection room 1 may be a bedroom of a home. The temperature control device 2 may be an air conditioner for controlling the temperature of the detection chamber 1, and the temperature of the detection chamber 1 is generally controlled to be 23 +/-3 ℃. The timer 3 is used to calculate the time to ensure that the patient is exposed to the affected knee joint in the constant temperature detection chamber 1 for 10 minutes or more. The angle calibration component 4 is used for calibrating the angle and ensuring that a patient adopts a 15-degree external rotation standing position during detection. The distance calibration component 5 is used for calibrating the distance, and the constant distance (76.2cm) between the lens of the thermal infrared imager 7 and the knee joint is kept when the patient is detected. The marker 6 is used for being placed on the patella of the knee joint to be detected as a reference object so as to facilitate the subsequent extraction of a specific skin area, and the marker 6 is preferably a stainless steel circular sheet with the diameter of 2 cm. The thermal infrared imager 7 is used for acquiring an infrared thermal image of the detected knee joint. The angle calibration component 4, the distance calibration component 5, the marker 6 and the thermal infrared imager 7 are integrated on the same structure, namely a detection table 20. Specifically, please refer to fig. 5, fig. 5 is a schematic structural diagram of the inspection table. The detection table 20 is provided with a rectangular bottom plate 201, the center of one short side of the bottom plate 201 is provided with a vertical placing frame 202, the height of the placing frame 202 is adjustable, for example, a sleeve and screw rod structure is adopted, the top end of the placing frame 202 is provided with a fixing seat 203, the fixing seat 203 is used for fixing the thermal infrared imager 7, the placing frame 202 is further provided with a placing box 204, and the marker 6 is placed in the placing box 204. The angle calibration assembly 4 is arranged on the upper surface of the bottom plate 201, and specifically includes a central line 41 and a plurality of angle lines 42 which are located on two sides of the central line 41 and form an included angle of 15 degrees with the central line 41, the central line 41 is parallel to the long axis of the bottom plate 201, and the end portion of the lower end of the placing frame 202 is located on the central line 41. The distance calibration assembly 5 comprises a calibration plate 51 and a support 52, wherein the calibration plate 51 is a rectangular transparent plate, the support 52 is vertical, the upper end of the support 52 is movably connected (e.g. riveted) with the calibration plate 51, and the lower end of the support 52 is connected to the bottom plate 201. The horizontal distance from the calibration plate 51 to the lens of the thermal infrared imager 7 was 76.2 cm. During detection, a patient stands on the bottom plate 201, puts down the calibration plate 51, then adjusts the position and rotates the lower limbs by himself/herself, so that the surface of the knee joint is attached to the calibration plate 51, the inner edge line of the affected side foot is attached to the angle line 42, and the heel of the affected side foot is located on the middle line 41.
Referring to fig. 4 again, the knee osteoarthritis remote diagnosis and treatment system based on infrared imaging further includes a computer 8, the computer 8 includes a thermal image processing module 9, the thermal image processing module 9 is used for extracting the position of the marker 6, taking the marker 6 as a reference, and calculating and extracting the temperatures of the following five areas: a 2cm x 2cm area of the medial tibial plateau, a 2cm x 2cm area of the lateral tibial plateau, a 2cm x 2cm area of the medial femoral condyle, a 2cm x 2cm area of the lateral femoral condyle, and a 2cm x 1cm area of the suprapatellar. Specifically, the thermal image processing module 9 includes a marker recognition submodule 91, a position calculation submodule 92, a temperature conversion submodule 93 and a total skin temperature calculation submodule 94, the marker recognition submodule 91 is used for recognizing the position of the marker 6, the position calculation submodule 92 further includes a medial tibial plateau 2cm × 2cm area extraction unit 921, a lateral tibial plateau 2cm × 2cm area extraction unit 922, a femoral medial condyle 2cm × 2cm area extraction unit 923, a femoral lateral condyle 2cm × 2cm area extraction unit 924 and a patella 2cm × 1cm area extraction unit 925, which are respectively used for calculating and extracting corresponding areas by using the marker 6 as a reference. The temperature conversion submodule 93 is used for calculating the temperatures of the five regions extracted by the position calculation submodule 92. The total skin temperature calculation submodule 94 is configured to calculate average temperatures of the five regions to obtain a total skin temperature of the knee joint.
The knee osteoarthritis remote diagnosis and treatment system based on infrared imaging further comprises a network 10 and a diagnosis and treatment terminal 11. The network 10 transmits the temperatures of the five regions extracted by the thermal image processing module 9 to the diagnosis and treatment terminal 11. The network 10 may be a wired network or a wireless network, such as commonly used optical fiber, WIFI, 3G, 4G, etc. The diagnosis and treatment terminal 11 is used for doctors to obtain the temperature of the above five regions of the knee joint of the patient so as to further diagnose the knee osteoarthritis, and the diagnosis and treatment terminal 11 can be a PC terminal, a mobile phone terminal or a tablet device.
In this embodiment, the design of the detection table 20 integrates the angle calibration component 4, the distance calibration component 5, the marker 6 and the thermal infrared imager 7, and is an integral body, so that the calibration is more accurate, the accuracy of the measurement result is further ensured, and the use is more convenient.
EXAMPLE 3 Infrared imaging-based study of Knee osteoarthritis for non-diagnostic and therapeutic purposes in accordance with the present invention
The invention relates to a knee osteoarthritis research method based on infrared imaging for non-diagnosis and treatment purposes, which is based on the knee osteoarthritis remote diagnosis and treatment system based on infrared imaging described in embodiment 1 or 2, and specifically comprises the following steps:
step S1: the temperature of the detection room is adjusted to about 23 ℃ by using a temperature control device, the temperature is kept to be free from great fluctuation, a testee is exposed to the knee joint at the affected side in the detection room with constant temperature for 10 minutes (the time is determined by using a timer), an angle calibration component is used for adopting a 15-degree external rotation standing position, and then skin temperature information acquisition is carried out on the knee joint of the testee. Keeping a constant distance (76.2cm, determining the distance by using a distance calibration component) between a lens of a thermal infrared imager and a knee joint, marking a marker with the diameter of 2cm on a patella, receiving infrared radiation of the knee joint of a subject by the lens of the thermal infrared imager, enabling the infrared radiation of the knee joint to reach an infrared detector after interference and diffraction of a grating, and finally reflecting an energy distribution pattern on a photosensitive element of the infrared detector so as to obtain an infrared thermal image.
Step S2: after the infrared thermal image is obtained, the infrared thermal image is led into a computer, and the temperature of the following five areas is extracted through an image processing module: a 2cm x 2cm area of the medial tibial plateau, a 2cm x 2cm area of the lateral tibial plateau, a 2cm x 2cm area of the medial femoral condyle, a 2cm x 2cm area of the lateral femoral condyle, and a 2cm x 1cm area of the suprapatellar.
Step S3: and sending the collected information data of the skin temperature of the knee joint related area to a terminal through a network.
Step S4: collecting information data of the infrared thermograph of the knee joint of the testee, and visually displaying the local skin temperature of the knee joint of the testee. Knee joint temperature data of a plurality of subjects were collected and counted.
Step S5: detecting structural pathological changes at joints of a subject through X-ray, CT and other radiological images, dividing the subject into a healthy group and a knee osteoarthritis group, comparing the temperature difference of two groups of knee joints, and researching the relationship between the knee joint temperature and the occurrence, development and the like of the knee osteoarthritis.
The above description is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, several modifications and additions can be made without departing from the method of the present invention, and these modifications and additions should also be regarded as the protection scope of the present invention.
Claims (6)
1. The knee osteoarthritis remote diagnosis and treatment system based on infrared imaging is characterized by comprising a detection room (1), wherein a temperature control device (2) used for controlling the temperature of the detection room (1), a timer (3) used for timing, an angle calibration component (4) used for calibrating an angle, a distance calibration component (5) used for calibrating a distance, a marker (6) used as a reference object and an infrared thermal imager (7) used for acquiring an infrared thermal image of a knee joint are arranged in the detection room (1); the system also comprises a computer (8), a thermal image processing module (9), a network (10) and a diagnosis and treatment terminal (11); the thermal image processing module (9) is used for extracting the position of the marker (6), taking the marker (6) as a reference object, and calculating and extracting the temperatures of the following five areas: inner knee eye, outer knee eye, blood sea region, breast area and crane vertex region; the network (10) transmits the results extracted by the thermal image processing module (9) to a remote diagnosis and treatment terminal (11), and the diagnosis and treatment terminal (11) is used for doctors to acquire the results extracted by the thermal image processing module (9) so as to further make diagnosis; the thermal image processing module (9) comprises a marker identification sub-module (91), a position calculation sub-module (92) and a temperature conversion sub-module (93); the marker identification submodule (91) is used for identifying the position of the marker (6); the position calculation submodule (92) further comprises an inner knee eye extraction unit, an outer knee eye extraction unit, a blood sea area extraction unit, a beam dune area extraction unit and a crane top area extraction unit which are respectively used for calculating and extracting corresponding areas by taking the marker (6) as a reference object; the temperature conversion submodule (93) is used for calculating the temperatures of the five areas extracted by the position calculation submodule (92); the angle calibration component (4), the distance calibration component (5), the marker (6) and the thermal infrared imager (7) are integrated on the detection table (20); the detection table (20) is provided with a bottom plate (201), the bottom plate (201) is provided with a placing rack (202), and the placing rack (202) is further provided with a fixing seat (203) for fixing the thermal infrared imager (7) and a storage box (204) for storing the marker (6); the angle calibration component (4) is arranged on the upper surface of the bottom plate (201), and specifically comprises a central line (41) and a plurality of angle lines (42) which are positioned on two sides of the central line (41) and form 15-degree included angles with the central line (41); the lower end of the placing rack (202) is positioned on a central line (41); the distance calibration assembly (5) comprises a calibration plate (51) and a support (52), the upper end of the support (52) is movably connected with the calibration plate (51), the lower end of the support (52) is connected onto the bottom plate (201), and the horizontal distance from the calibration plate (51) to a lens of the thermal infrared imager (7) is 76.2 cm.
2. The infrared imaging-based knee osteoarthritis telemedicine system according to claim 1, wherein the thermal image processing module (9) further comprises a total skin temperature calculation sub-module (94) for calculating an average temperature of five regions to obtain a total skin temperature of the knee joint.
3. The infrared imaging-based knee osteoarthritis telemedicine system according to claim 1, wherein the temperature control device (2) controls the temperature of the detection room (1) at 23 ± 3 ℃.
4. The infrared imaging-based knee osteoarthritis telemedicine system according to claim 1, wherein the timer (3) is used to calculate the time to ensure that the patient is exposed to the affected knee joint within the constant temperature detection room (1) for 10 minutes or more.
5. The infrared imaging-based knee osteoarthritis remote diagnosis and treatment system according to claim 1, wherein the angle calibration component (4) is used for calibrating an angle, so that a 15-degree external foot rotation standing position is adopted for patient detection.
6. The infrared imaging-based knee osteoarthritis telemedicine system according to claim 1, wherein the distance calibration component (5) is used for calibrating the distance, so that a constant distance of 76.2cm is kept between the lens of the thermal infrared imager (7) and the knee joint when a patient is detected.
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