AU2020101685A4 - A Remote Diagnosis And Treatment System For Knee Osteoarthritis Based On Infrared Imaging - Google Patents
A Remote Diagnosis And Treatment System For Knee Osteoarthritis Based On Infrared Imaging Download PDFInfo
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- 201000008482 osteoarthritis Diseases 0.000 title claims abstract description 68
- 208000003947 Knee Osteoarthritis Diseases 0.000 title claims abstract description 62
- 238000004171 remote diagnosis Methods 0.000 title claims abstract description 39
- 238000003331 infrared imaging Methods 0.000 title claims abstract description 37
- 210000000629 knee joint Anatomy 0.000 claims abstract description 60
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0059—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence
- A61B5/0082—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes
- A61B5/0084—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters
- A61B5/0086—Measuring for diagnostic purposes; Identification of persons using light, e.g. diagnosis by transillumination, diascopy, fluorescence adapted for particular medical purposes for introduction into the body, e.g. by catheters using infrared radiation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0004—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by the type of physiological signal transmitted
- A61B5/0008—Temperature signals
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- A—HUMAN NECESSITIES
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- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/0002—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network
- A61B5/0015—Remote monitoring of patients using telemetry, e.g. transmission of vital signals via a communication network characterised by features of the telemetry system
- A61B5/0022—Monitoring a patient using a global network, e.g. telephone networks, internet
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- A—HUMAN NECESSITIES
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/01—Measuring temperature of body parts ; Diagnostic temperature sensing, e.g. for malignant or inflamed tissue
- A61B5/015—By temperature mapping of body part
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- A61B5/45—For evaluating or diagnosing the musculoskeletal system or teeth
- A61B5/4538—Evaluating a particular part of the muscoloskeletal system or a particular medical condition
- A61B5/4585—Evaluating the knee
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- A61B5/68—Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
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- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/70—Means for positioning the patient in relation to the detecting, measuring or recording means
- A61B5/706—Indicia not located on the patient, e.g. floor marking
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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 equipped with a temperature control device,
a timer, an angle calibration component, a distance calibration component, markers and an infrared
thermal imager, a computer, a thermal image processing module, a network, and a medical
terminal. Wherein the thermal images processing module is configured to extract a location of the
marker and uses the location as a reference to calculate the temperatures of the following five
regions: 2 cm x 2 cm area of medial tibial plateau, 2 cm x 2 cm area of lateral tibial plateau, 2 cm x
2 cm area of medial femoral condyle and 2 cm x 2 cm area of lateral femoral condylar as well as 2
cm x 1 cm area of suprapatellar. The network transmits the results extracted by the thermal image
processing module to the medical terminal for the physician to make a diagnosis. The invention can
remotely provide a doctor expert with accurate knee joint skin temperature value of the knee
osteoarthritis patient, so as to help the doctor expert to carry out early diagnosis and formulation of
a treatment scheme to benefit the patient.
1/4
Thermal image processing module _9
91 92 93 94
Sa marker a position a a total skin
identifying calculating temperature temperature
sub-module sub-block converting calculation
sub-block sub-module
7-
4 2cmx 2cmx2cm 2cmx2cm 2cmx2cm 2 cmx 1cm
2cm area area area area area
extractio extraction extraction extraction extraction
n unit of unit of unit of unit of unit of
medial lateral tibial medial lateral suprapatellar
5 -- tibial plateau femoral femoral area
plateau condyle condyle
921 922 923 924 925
n- 10
Figure 1
Description
1/4
Thermal image processing module _9 91 92 93 94
Sa marker a position a a total skin identifying calculating temperature temperature sub-module sub-block converting calculation sub-block sub-module
7-
4 2cmx 2cmx2cm 2cmx2cm 2cmx2cm 2 cmx1cm 2cm area area area area area extractio extraction extraction extraction extraction n unit of unit of unit of unit of unit of medial lateral tibial medial lateral suprapatellar -- tibial plateau femoral femoral area plateau condyle condyle
921 922 923 924 925
n- 10
Figure 1
PATENTS ACT 1990
A Remote Diagnosis And Treatment System For Knee Osteoarthritis Based On
Infrared Imaging
The invention is described in the following statement:-
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.
Infrared thermal imaging is a functional diagnostic technology that
passively receives the infrared radiation of the human body. It does not touch
the human body, emit radiation, and has no damage or side effects to the human
body. It can detect, record and image the temperature of the human body
surface and hot zone. It can capture the surface temperature distribution to
provide information on tissue heat, metabolism, blood vessels and the like that
are closely related to the physiological state of the human body. It has been
applied in many clinical fields. The infrared thermal image can provide the
temperature contrast information of the detected area and perform the
qualitative and quantitative detection on the detected areas. The remote
diagnosis and treatment technology can digitally collect relevant information of
the medical personnel and upload the collected information data to the cloud
server through the Internet. The doctor expert can see the information of the
patient through the client to realize the remote diagnosis.
With the advent of an aging society, the incidence of knee osteoarthritis is
increasing, so it is particularly important to strengthen early prevention. At present, the main way to diagnose osteoarthritis of knee in clinic is to detect the structural lesion of joint by X-ray or CT. However, the above structural lesions often occur in the middle and late stages of osteoarthritis, and many patients often miss the best treatment opportunity due to the late diagnosis. At present, it is known that the skin temperature of the knee joint can reflect the occurrence and development of knee osteoarthritis in the early stage, and also can be used for the diagnosis of traditional Chinese medicine syndromes of knee arthritis. In addition, in the paper Application ofInfraredThermal Imaging Technology in the Evaluationof TherapeuticEffects of TraditionalChineseMedicine on Knee
Osteoarthritispublished in the 5th Journal of TCMZhenggu, 2016, that application value
of infrared thermal image technology in the evaluation of the curative effect of traditional
Chinese medicine on knee osteoarthritis is discussed through clinical experiments, and it
confirmed that the change of knee joint temperature on the infrared thermal image of
patients with knee osteoarthritis before and after TCM treatment can reflect the effect of
clinical treatment to a certain extent, therby providing an objective basis for the evaluation
of therapeutic effect of traditional Chinese medicine on knee osteoarthritis. The patent
document CN107280644A, published on Oct. 24, 2017, discloses a method for detecting
the course of osteoarthritis of the knee based on near-infrared light, which firstly
processes clinical knee joint CT images by using image segmentation processing
technology. In that method, part of muscle and bone tissue are left and gray contrast value
enhancement and edge extraction are carried out; and then, based on the processed CT
pictures, the optical characteristic parameters of the joint cavity synovial fluid are
analyzed by a Monte Carlo method and the trajectory ofnear-infrared photons in the knee
joint in the early, middle and late stages of arthritis can be simulated. Finally the Gaussian function is used to fit the infrared photon emission distribution characteristics under different disease courses, and the effective photon emission rate and the symmetry axis coordinates of the fitting function are used as dual indicators to determine the patient's condition.
However, there is currently no remote diagnosis and treatment technology for knee
arthritis. The remote diagnosis and treatment technology that only relies on radiological
images such as X-ray or CT does not collect complete and comprehensive disease
information for patients with knee arthritis, and it is difficult to make accurate early
diagnosis. How to overcome this defect, realize the remote diagnosis and treatment of
knee arthritis, and promote the accurate early diagnosis of knee osteoarthritis is a difficult
problem that needs to be solved urgently. No relevant reports have been reported yet.
An object of the present invention is to provide a knee osteoarthritis remote
diagnosis and treatment system based on infrared imaging in view of the disadvantages
in the prior art.
It is a further object of the present invention to provide a study method of knee
osteoarthritis based on infrared imaging for non-diagnostic and therapeutic purposes.
Another object of the present invention is to provide a knee osteoarthritis
detection table based on infrared imaging.
In order to achieve the above first object, the technical scheme adopted by the
present invention is as follows:
A remote diagnosis and treatment system for knee osteoarthritis based on
infrared imaging comprises a detection chamber (1), which comprises a temperature
control device (2) for controlling the temperature of the detection chamber (1), a
timer (3) for timing, an angle calibration unit (4) for calibrating the angle, a distance
calibration component (5) for calibrating the distance, a marker (6) for serving as a
reference, and an infrared imager (7) for acquiring an infrared image of the knee
joint; The system further comprises a computer (8), a thermal image processing
module (9), the network (10) and a medical terminal(11).Wherein the thermal image
processing module (9) is configured to extract a position of the marker (6), which is
a reference object, and the temperatures of the following five regions were
calculated and extracted: 2 cm x 2 cm area of medial tibial plateau, 2 cm x 2 cm
area of lateral tibial plateau, 2 cm x 2 cm area of medial femoral condyle and 2 cm x
2 cm area of lateral femoral condylar as well as 2 cm x1 cm area of suprapatellar.
The network (10) transmits the result extracted by the thermal image processing
module (9) to the medical terminal (11), which is used for a physician to obtain the
results extracted by the thermal image processing module (9) for further diagnosis.
As a preferred solution of the present invention, the thermal image processing
module (9) includes a marker identifying sub-module (91), a position calculating
sub-block (92), and a temperature converting sub-block (93). The marker identifying
sub-module (91) is used for identifying the position of the marker (6); The position
calculating sub-module (92) further comprises 2cmx 2cm area extraction unit of
medial tibial plateau (921), 2cmx2cm area extraction unit of lateral tibial plateau
(922), 2cmx2cm area extraction unit of medial femoral condyle (923), 2cmx2cm area extraction unit of lateral femoral condyle (924) and 2 cmx lcm area extraction unit of suprapatellar area (925), which are respectively used to calculate and extract the corresponding regions with the marker (6) as the reference. The temperature conversion sub-module (93) is used for calculating the temperatures of the five regions extracted by the position calculation sub-block (92).
As a preferred example, the thermal image processing module (9) further
comprises a total skin temperature calculation sub-module (94), used to calculate the
average temperature of the five regions to obtain the total knee joint skin
temperature.
As another preferred embodiment of the present invention, the angle calibration
component (4), the distance calibration component(5),the marker (6), and the
infrared thermal imager (7) are integrated on the test bench (20).Wherein the
detection table (20) is provided with a bottom plate (201) on which a placement
frame (202) is arranged. The placing frame (202) is further provided with a fixing
seat (203) for fixing the infrared thermal imager (7) and a storage box (204) for
storing the marker (6). Wherein the angle calibration component (4) is arranged on
the upper surface of the bottom plate (201) comprising the central line (41) and a
number of angle lines (42) on both sides of the central line (41) with an angle of 15°;
the lower end of the placement frame (202) is located on the center line (41); The
distance calibration assembly (5) comprises a calibration plate (51) and a bracket
(52), the upper end of the bracket (52) is movably connected with the calibration
plate (51), the lower end of the bracket (52) is connected to the bottom plate (201), and the horizontal distance between the calibration plate (51) and the lens of the infrared thermal imager (7) is 76.2cm.
As another preferred embodiment of the present invention, the temperature
control device (2) controls the temperature of the detection chamber (1) at 23±3°C.
As another preferred embodiment of the invention, the timer (3) is used to
calculate the time to ensure that the patient first exposes the affected knee joint in
the detection chamber (1) with a constant temperature for 10 minutes or more.
As another preferred solution of the present invention, the angle calibration
component (4) is used for calibrating an angle, ensuring that patients use
external rotation standing position when testing.
As another preferred embodiment of the present invention, the distance
calibration component (5) is used for calibrating a distance, ensuring a constant
distance of 76.2 cm between the lens of the infrared camera (7) and the knee joint
when the patient is detected.
In order to achieve the above second object, the technical scheme adopted by
the present invention is that method for studying knee osteoarthritis based on
infrared imaging for non-diagnostic and therapeutic purposes comprises the steps of:
Step SI: The temperature of the detection room is adjusted to 23°C3C by the
temperature control device, and the subject first exposes the affected knee joint for
minutes or more in the constant temperature detection room. Using the angle
calibration component to adopt a 150 foot external rotation standing position to keep
a constant distance of 76.2cm between the lens of the infrared camera and the knee joint, then marking the patella with a marker, and the infrared camera captures the infrared thermal image of the knee joint of the subject;
Step S2: The infrared heat image is imported into the computer, and then the
following five images are extracted through the image processing module-2 cm
x 2 cm area of medial tibial plateau, 2 cm x 2 cm area of lateral tibial plateau, 2 cm
x 2 cm area of medial femoral condyle and 2 cm x 2 cm area of lateral femoral
condylar as well as 2 cm x 1 cm area of suprapatellar.
Step S3: The collected information data of the skin temperature of the relevant area
of the knee joint is sent to the terminal through the network.
Step S4: That structural lesion at the joints of the subject are detected by routine
examination, and the subjects are divided into a healthy group and a knee
osteoarthritis group, and the temperature difference between the two groups of knee
joint is compared to study the relationship between knee joint temperature and the
occurrence or development of knee osteoarthritis.
In order to achieve the above third object, the technical scheme adopted by the
present invention is as follows:
A knee osteoarthritis detection table based on infrared imaging is provided with
a bottom plate (201) on which a placement frame (202) is arranged. The placing
frame (202) is further provided with a fixing seat (203) for fixing the infrared
thermal imager (7) and a storage box (204) for storing the marker (6). Wherein the
angle calibration component (4) is arranged on the upper surface of the bottom plate
(201) comprising the central line (41) and a number of angle lines (42) on both sides of the central line (41) with an angle of 15; the lower end of the placement frame
(202) is located on the center line (41); The distance calibration assembly (5)
comprises a calibration plate (51) and a bracket (52), the upper end of the bracket
(52) is movably connected with the calibration plate (51), the lower end of the
bracket (52) is connected to the bottom plate (201), and the horizontal distance
between the calibration plate (51) and the lens of the infrared thermal imager (7) is
76.2cm.
In that invention, the advantages are as follows:
1. In that invention, a knee osteoarthritis remote diagnosis and treatment system
based on infrared thermal imaging is provided and the selected knee joint
temperature acquisition region is obtained through a large amount of research. The
utility model can provide accurate knee joint skin temperature values of knee
osteoarthritis patients for doctors to help doctors to carry out accurate early
diagnosis and preparation of treatment plans.
2. In that invention, the remote diagnosis and treatment of knee osteoarthritis patient
by doctors and expert can be realized, the skin temperature data of the knee joints of
patients can be standardize and digitized, and the data can be transmitted to doctors
and experts through the Internet. Diagnosis and prescription shall be made by
doctors and experts. Thus it can make (1) the doctor expert, the patient be free from
the geographical restriction, save the time and the money. (2) Doctors and experts
can directly obtain the temperature data of the local part of the knee joint of the
patient without palpation, which can reflect the patient's condition more objectively
and avoid the possibility that the subjective judgment of the doctor and the patient is wrong. And (3) it can provide a completely noninvasive and low-cost auxiliary examination means for patients with knee osteoarthritis.
3. In addition, that present invention contribute to the further study of the
relationship between the temperature of the knee joint and the occurrence,
development and mechanism of knee osteoarthritis.
FIG. 1 is a structural block diagram of a knee osteoarthritis remote diagnosis and
treatment system based on infrared imaging according to the present invention.
Fig. 2 and Fig. 3 are the schematic diagrams of detecting knee joint by using the
remote diagnosis and treatment system of knee osteoarthritis based on infrared
imaging of the invention.
FIG. 4 is a block diagram of another infrared imaging-based knee osteoarthritis
remote diagnosis and treatment system of the present invention.
FIG. 5 is a schematic diagram of the inspection table structure.
In the following, specific embodiments provided by the present invention will be
described in detail with reference to the accompanying drawings.
The reference numerals and components referred to in the drawings are as
follows:
1.Detection Chamber 2.Temperature Control Device
3.Timer 4.Angle Calibration Assembly
5. Distance Calibration Component 6. Markers
7. Infrared Thermal Imager 8. Computer
9. Thermal Image Processing Module 91. Marker Identification Sub-Module
92. Position Calculation Sub-Module 93. Temperature Conversion Submodul
94. Total Skin Temperature Calculation Sub-module 10. Network
11. Clinic Terminal
921. Extraction Unit For 2 cm x 2 cm Area of Medial Tibial Plateau
922. Lateral Tibial Plateau 2cm x 2cm Area of Extraction Unit
923. Extraction Unit For 2cm x 2cm Area of Medial Femoral Condyle
924. Extraction Unit For 2cm x 2cm Area of Lateral Femoral Condyle
925. 2 cm x 1 cm Suprapatellar Region Extraction Unit
20. Test Bench 201. Base Plate
202. Placing Rack 203. Fixing Base
204. Box 41. Centre Line
42. Angle Line 51. Calibration Plate
52. Bracket
Embodiment Remote diagnosis and treatment system for knee osteoarthritis
based on infrared imaging of the present invention (1)
Please refer to FIG. 1, which is a structural block diagram of a knee osteoarthritis
remote diagnosis and treatment system based on infrared imaging according to the
present invention.
The remote diagnosis and treatment system for knee osteoarthritis based on
infrared imaging comprises a detection chamber 1 in which a temperature control
device 2 is arranged. The detection chamber 1 is also provided with a timer 3, an
angle calibration unit 4, a distance calibration unit 5, a marker 6, and an infrared
camera 7. The detection chamber 1 may be a bedroom at home. The temperature
control device 2 may be an air conditioner for controlling the temperature of the
detection chamber 1, and generally controls the temperature in the detection room 1
to be 233°C. Timer 3 is used to calculate the time to ensure that the affected knee
joint of patient is exposed for 10 minutes or more in the detection room 1 with
constant temperature.
The angle calibration component 4 is used for calibrating the angle, so as to
ensure that a 15-degree foot external rotation standing position is adopted when the
patient is detected, and it also can be a protractor. The distance calibration unit 5 is
used for calibrating the distance, and ensures that a constant distance (76.2 cm) is
maintained between the lens of the infrared thermal camera 7 and the knee joint
when the patient is detected. Distance calibration unit 5 can be a measuring ruler.
The marker 6 is placed on the patella of the knee joint to be examined as a reference
for the subsequent extraction of specific skin areas, and is preferably a stainless steel
disc with a diameter of 2 cm. The infrared thermal imaging device 7 is used for
acquiring an infrared thermal image of the detected knee joint.
The infrared imaging-based knee osteoarthritis remote diagnosis and treatment
system further comprises a computer 8, which comprises a thermal image processing
module 9. The thermal image processing module 9 is used to extract the position of
the marker 6 and takes the marker 6 as the reference to calculate and extract the
temperature of the following five regions: 2cmx 2cm area extraction unit of medial
tibial plateau, 2cmx2cm area extraction unit of lateral tibial plateau, 2cmx2cm area
extraction unit of medial femoral condyle, 2cmx2cm area extraction unit of lateral
femoral condyle and 2 cmxlcm area extraction unit of suprapatellar area.
Specifically, the thermal image processing module 9 includes a marker identification
sub-module 91, a position calculation sub-block 92, a temperature conversion sub
blocks 93, and a total skin temperature calculation sub-block 94. The marker
identifying sub-module 91 is configured to identify the position of the marker 6, and
the position calculating submodule 92 further includes 2cmx 2cm area extraction
unit of medial tibial plateau (921), 2cmx2cm area extraction unit of lateral tibial
plateau (922), 2cmx2cm area extraction unit of medial femoral condyle (923),
2cmx2cm area extraction unit of lateral femoral condyle (924) and 2 cmxlcm area
extraction unit of suprapatellar area (925). They are used to calculate and extract
the corresponding regions with marker 6 as reference.The temperature conversion
sub-module 93 is configured to calculate the temperatures of the five regions
extracted by the position calculation sub-block 92. The total skin temperature
calculation sub-module 94 is configured to calculate the average temperatures of the
five regions to obtain the total knee joint skin temperature.
The remote diagnosis and treatment system for knee osteoarthritis based on
infrared imaging further comprises a network 10 and a diagnosis terminal end 11.
The network 10 transmits the temperatures of the five areas extracted by the thermal
image processing module 9 to the medical terminal 11. The network 10 may be a
wired or wireless network, such as commonly used optical optical fiber, WIFI, 3G,
4G etc. The diagnosis and treatment terminal 11 is used for the physician to obtain
the temperatures of the above-mentioned five regions of the patient's knee joint, so
as to facilitate the diagnosis of knee osteoarthritis. The medical terminal 11 may be a
PC terminal, a mobile phone terminal, or a tablet device.
The method for remote diagnosis and treatment of knee osteoarthritis using the
infrared imaging-based knee osteoarthritis remote diagnosis system of the present
invention is as follows:
StepS1: Adjust the temperature of detection room 1 (such as the bedroom at
home) to about 23 °C by using temperature control device 2 (such as air conditioner)
and keep the temperature stable. The patient's affected knee was first exposed for 10
minutes(determined by a timer) in a constant temperature test chamber 1. The angle
calibration module 4 was used to make the patient stand in the 15 0 foot external
rotation position, and then the skin temperature information of the patient's knee
joint was collected.
A constant distance (76.2 cm, determined by the distance calibration component
)is maintained between the lens of the infrared thermal camera 7 and the knee joint.
The patella is marked with a marker 6 having a diameter of 2 cm (see FIG. 2), and
the lens of the infrared camera 7 receives the infrared radiation of the patient's knee joint. The infrared radiation of the knee joint will reach the infrared detector after the interference and diffraction of the grating, and finally reflects the energy distribution pattern on the photosensitive element of the infrared detectors, so as to obtain the infrared thermal image.
StepS2: After obtaining the infrared thermal image, it is imported into computer
8, and the temperature of the following five regions is extracted by image processing
module 9: 2cmx 2cm area extraction unit of medial tibial plateau, 2cmx2cm area
extraction unit of lateral tibial plateau, 2cmx2cm area extraction unit of medial
femoral condyle, 2cmx2cm area extraction unit of lateral femoral condyle and 2
cmx lcm area extraction unit of suprapatellar area (see Figure 3 for details).
SeptS3: The collected information data of the skin temperature of the knee joint
related region is transmitted to the medical terminal 11 of the doctor's expert through
the network 10.
StepS4: The skin temperature of a part of the patient's knee joint is directly
displayed through the information data of the infrared thermal image of the knee
joint, and a diagnosis is made by a doctor and an expert.
The remote diagnosis and treatment system for knee osteoarthritis based on
infrared imaging of the present invention can realize remote diagnosis and treatment
of knee osteoarthritis patients by doctors. The patients' knee joint skin temperature
data is standardized and digitized, and transmitted to doctors and experts through the
Internet, who will diagnose and prescribe. The invention can better solve the
disadvantages of the diagnosis and treatment of knee osteoarthritis in the prior art: 1.
Doctors, experts and patients are not limited by regions, and time and money are saved. 2. Doctors and experts can directly obtain the local temperature data of the knee joint of the patient without palpation, so as to reflect the patient's condition more objectively and avoid the possibility of wrong subjective judgment by the doctor and the patient. 3. It can provide a completely non-invasive and low-cost auxiliary examination means for patients with knee osteoarthritis. In order to use the infrared imaging-based knee osteoarthritis remote diagnosis and treatment system of the present invention to acquire infrared thermal images, It is necessary to ensure that the tested affected knee joint is exposed in a constant temperature environment of about 23 C for 10 minutes or more, and the 15 0 foot external rotation standing position was used. During the detection, a constant distance (76.2 cm) was kept between the lens of the infrared thermal imager and the knee joint, so as to accurately collect the temperature of five areas, including 2cm x 2cm area of medial tibial plateau. The five regions are concluded by the inventor of the application based on rich clinical experience, and the average temperature of these areas is of great significance for further diagnosis and treatment of patients with knee osteoarthritis. After extracting the average temperature of the whole knee and five interested regions by InfreC Analyzer software, analyze and determine to respectively take the average temperature of these five regions: 2 cm x 2 cm area of medial tibial plateau (medial tibial plateau area, inner knee eye), 2 cm x 2 cm area of lateral tibial plateau (lateral tibial plateau area, outer knee eye), 2 cm x 2 cm area of medial femoral condyle (medial femoral condyle area, blood sea area), 2 cm x 2 cm area of lateral femoral condyle (lateral femoral condyle area, trabecular mound area) and 2 cm x 1 cm area of suprapatellar area (suprapatellar area, hedding area) to calculate their average value as the total skin temperature of knee joint.
Skin temperature in these areas is associated with symptoms of the knee joint. The
vast majority of patients with knee osteoarthritis have clinical symptoms of varying
degrees in these regions, which are also caused by obstruction of Qi and blood. The
ancients said "governing exterior to infer interior". In the same way, it can also be
pushed from the inside to the outside. The Qi machine is not smooth and the blood
movement is blocked, which reflects the change of skin temperature on the outside.
Knee eye is a local acupoint, which has the effect of dispersing wind and cold,
unblocking meridians, benefiting joints and relieving arthralgia and pain. It can
penetrate the tendons to reach the bone and acupuncture to the disease site, and the
effect is quick. Bend knees, and in the hollow on both sides of the patellar ligament,
the medial knee eye is called the inner knee eye, and the lateral knee eye is called
the outer knee eye. This point is an extra nerve point. "Yuqiaoge" said: "bone
marrow can cure leg pain, knee redness and swelling, and cannot walk disease, and
must be perform acupuncture in the knee eye, knee close points, which will soon
take effect, and no longer cause pain". Blood sea is the meridian point to help blood
return to the spleen like river flowing back to the sea. This point belonging to the
spleen Sutra of Foot Taiyin, comes from " A-B Classic of Acupuncture and
Moxibustion", and this point means the place where Qi and blood gather, and the
scope of the flood is huge like a sea, so it is named as Blood sea from this idea. We
can know that the blood sea is the first important point for promoting blood
circulation and removing heat, and the effect on degenerative arthritis is more effective in nourishing blood circulation locally. Beam mound point is a protrusion located in the front of the thigh muscles where suddenly arise like hill, and the height is called the mound, and its back side is called beam. Beam mound point is the xi-cleft point of the stomach meridian of foot-yangming, which has the effect of dredging meridians, activating collaterals, regulating qi and stomach. Beam mound point combined with Zusanli can dredge meridians which is widely used in clinic.
He ding, because the appearance of the skeleton looks like the top of a crane, so it
has this name. In The Great Compendium of External Medicine, the original name of
the He ding is Xi ding which is mainly used to treat tuberculous arthritis, beriberi,
diseases of lower limbs, knee arthritis and so on. In our study, we found that the
average temperature of these five areas of the knee was associated with pain,
stiffness, and functional symptoms of the patient's knee. The higher the average
temperature in these areas, the more serious the condition of the patient's knee joint.
Therefore, the accuracy of diagnosis and treatment can be ensured by collecting the
temperatures in the five regions.
Example 2 Remote Diagnosis and Treatment System for Knee Osteoarthritis
Based on Infrared Imaging of the Present Invention (2)
Please refer to FIG. 4, which is a block diagram of another remote diagnosis and
treatment system for knee osteoarthritis based on infrared imaging according to the
present invention. The remote diagnosis and treatment system for knee osteoarthritis
based on infrared imaging comprises a detection chamber 1 in which a temperature
control device 2 is arranged. The detection chamber 1 is also provided with a timer
3, an angle calibration unit 4, a distance calibration unit 5, a marker 6, and an infrared camera 7. The detection chamber 1 may be a bedroom at home. The temperature control device 2 may be an air conditioner for controlling the temperature of the detection chamber 1, and generally controls the temperature in the detection room 1 to be 233°C. The timer 3 is used to count the time to ensure that the patient first exposed the affected knee joint for 10 minutes or more in the test room 1 with constant temperature.
The angle calibration component 4 is used for calibrating the angle, so as to
ensure that a 15-degree external rotation standing position is adopted when the
patient is detected. The distance calibration component 5 is used for calibrating the
distance to ensure that a constant distance (76.2 cm) is maintained between the lens
of the infrared camera 7 and the knee joint during detection of the patient. The
marker 6 is used to place on the patella of the knee joint to be detected as a
reference, so as to facilitate the subsequent extraction of specific skin regions
The marker 6 is preferably a 2 cm diameter stainless steel disc. The infrared
thermal imager 7 is used to obtain the infrared thermal image of the detected knee
joint.The angle calibration unit 4, the distance calibration unit 5, the marker 6 and
the infrared camera 7 are integrated in the same structure - the detection table 20.
Specifically, please refer to FIG. 5, which is a schematic structural diagram of the
detection table. The detecting station 20 is provided with a rectangular bottom plate
201, of which a vertical placing rack 202 is arranged at the center of one short sides.
The height of the placing rack 202 is adjustable, for example, the structure of a
sleeve and a screw rod can be adopted. And a fixing seat 203 is arranged on the top
end of the placing rack 202, which is used for fixing the infrared thermal imager 7.
A storage box 204 is further arranged on the placing rack 202, and the marker 6 is
placed in the storage box 202. The angle calibration component 4 is disposed on the
upper surface of the bottom plate 201, and specifically comprises a middle line 41
and a plurality of angle lines 42 which are on both sides of the central line 41 and
have an angle of 15 0 to the center line 41. The centerline 41 is parallel to the long
axis of the base plate 201 and the lower end of the placing rack 202 is located on
centerline 41. The distance calibration assembly 5 includes a calibration plate 51 and
a bracket 52. The calibration plate 51 is a rectangular transparent plate, the bracket
52 is vertical, the upper end of the bracket 52 is movably connected with the
calibration plate 51 (such as riveting), and the lower end of the bracket 52 is
connected with the bottom plate 201. The horizontal distance from the calibration
plate 51 to the lens of the infrared thermal imager 7 is 76.2 cm. During the
detection, the patient stands on the floor 201, puts down the calibration plate 51, and
then the patient adjusts the position and rotates the lower limb to make the knee joint
surface fit the calibration plate 51, the inner edge line of the affected foot fits the
angle line 42, and the heel of the affected foot is on the midline 41.
Refer to Fig. 4 again. The remote diagnosis and treatment system of knee
osteoarthritis based on infrared imaging also includes a computer 8, which
comprises a thermal image processing module 9. The thermal image processing
module 9 is used to extract the position of the marker 6 and takes the marker 6 as the
reference to calculate and extract the temperature of the following five regions:
2cmx 2cm area extraction unit of medial tibial plateau, 2cmx2cm area extraction
unit of lateral tibial plateau, 2cmx2cm area extraction unit of medial femoral condyle, 2cmx2cm area extraction unit of lateral femoral condyle and 2 cmxlcm area extraction unit of suprapatellar area. Specifically, the thermal image processing module 9 includes a marker identification sub-module 91, a position calculation sub block 92, a temperature conversion sub-blocks 93, and a total skin temperature calculation sub-block 94. The marker identifying sub-module 91 is configured to identify the position of the marker 6, and the position calculating submodule 92 further includes 2cmx 2cm area extraction unit of medial tibial plateau (921),
2cmx2cm area extraction unit of lateral tibial plateau (922), 2cmx2cm area
extraction unit of medial femoral condyle (923), 2cmx2cm area extraction unit of
lateral femoral condyle (924) and 2 cmxlcm area extraction unit of suprapatellar
area (925). They are used to calculate and extract the corresponding regions with
marker 6 as reference.The temperature conversion sub-module 93 is configured to
calculate the temperatures of the five regions extracted by the position calculation
sub-block 92. The total skin temperature calculation sub-module 94 is configured to
calculate the average temperatures of the five regions to obtain the total knee joint
skin temperature.
The remote diagnosis and treatment system for knee osteoarthritis based on
infrared imaging further comprises a network 10 and a diagnosis terminal end 11.
The network 10 transmits the temperatures of the five areas extracted by the thermal
image processing module 9 to the medical terminal 11. The network 10 may be a
wired or wireless network, such as commonly used optical optical fiber, WIFI, 3G,
4G etc. The diagnosis and treatment terminal 11 is used for the physician to obtain
the temperatures of the above-mentioned five regions of the patient's knee joint, so as to facilitate the diagnosis of knee osteoarthritis. The medical terminal 11 may 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 and the distance calibration component5, the marker 6 and
the infrared thermal imager 7. As a whole, the calibration is more accurate, which
further ensures the accuracy of the measurement results and is more convenient to
use.
Example 3 The Research Method of Knee Osteoarthritis Based On Infrared
Imaging for Non Diagnosis And Treatment Purposes Of The Invention
The non diagnosis and treatment purposes of this invention relates to a knee
osteoarthritis research method based on infrared imaging, which is based on the
remote diagnosis and treatment system of knee osteoarthritis based on infrared
imaging described in embodiment 1 or 2, specifically including the following steps:
Step SI: Adjust the temperature of detection room to about 23 °C by using
temperature control device and keep the temperature stable. The patient's affected
knee was first exposed for 10 minutes (determined by a timer) in a constant
temperature test chamber. The angle calibration module was used to make the
patient stand in the 15 0 foot external rotation position, and then the skin temperature
information of the patient's knee joint was collected. A constant distance (76.2 cm,
determined by the distance calibration component 5) is maintained between the lens
of the infrared thermal camera and the knee joint. The patella is marked with a
marker having a diameter of 2 cm, and the lens of the infrared camera receives the infrared radiation of the patient's knee joint. The infrared radiation of the knee joint will reach the infrared detector after the interference and diffraction of the grating, and finally reflects the energy distribution pattern on the photosensitive element of the infrared detectors, so as to obtain the infrared thermal image.
Step S2: After obtaining the infrared thermal image, it is imported into computer
, and the temperature of the following five regions is extracted by image processing
module: 2cmx 2cm area extraction unit of medial tibial plateau, 2cmx2cm area
extraction unit of lateral tibial plateau, 2cmx2cm area extraction unit of medial
femoral condyle, 2cmx2cm area extraction unit of lateral femoral condyle and 2
cmx lcm area extraction unit of suprapatellar area.
Sept S3: The collected information data of the skin temperature of the knee joint
related region is transmitted to the medical terminal of the doctor's expert through
the network.
Step S4: The information data of infrared thermogram of knee joint were
collected, and the skin temperature of local knee joint was directly displayed. The
knee joint temperature data of several subjects were collected.
Step S5: X-ray or CT and other radiographic images were used to detect the
structural lesions in the joints of the subjects. The subjects were divided into the
healthy group and the knee osteoarthritis group. The differences of knee joint
temperature between the two groups were compared, and the relationship between
the knee joint temperature and the occurrence and development of knee
osteoarthritis was studied.
The above is only the preferred embodiment of the invention. It should be pointed
out that ordinary technical personnel in the technical field can make some
improvements and supplements without departing from the method of the invention,
and these improvements and supplements shall also be regarded as the scope of
protection of the invention.
Claims (10)
1. A remote diagnosis and treatment system for knee osteoarthritis based on
infrared imaging is characterized by comprising a detection chamber (1), which
comprises a temperature control device (2) for controlling the temperature of the
detection chamber (1), a timer (3) for timing, an angle calibration unit (4) for calibrating
the angle, a distance calibration component (5) for calibrating the distance, a marker (6)
for serving as a reference, and an infrared imager (7) for acquiring an infrared image of
the knee joint; The system further comprises a computer (8), a thermal image processing
module (9), the network (10) and a medical terminal(11).Wherein the thermal image
processing module (9) is configured to extract a position of the marker (6), which is a
reference object, and the temperatures of the following five regions were calculated and
extracted: 2 cm x 2 cm area of medial tibial plateau, 2 cm x 2 cm area of lateral tibial
plateau, 2 cm x 2 cm area of medial femoral condyle and 2 cm x 2 cm area of lateral
femoral condylar as well as 2 cm x1 cm area of suprapatellar. The network (10)
transmits the result extracted by the thermal image processing module (9) to the medical
terminal (11), which is used for a physician to obtain the results extracted by the thermal
image processing module (9) for further diagnosis.
2. A knee osteoarthritis remote diagnosis and treatment system based on infrared
imaging according to claim 1, is characterized in that the thermal image processing
module (9) includes a marker identifying sub-module (91), a position calculating sub
block (92), and a temperature converting sub-block (93). The marker identifying sub
module (91) is used for identifying the position of the marker (6); The position calculating
sub-module (92) further comprises 2cmx 2cm area extraction unit of medial tibial plateau
(921), 2cmx2cm area extraction unit of lateral tibial plateau(922), 2cmx2cm area
extraction unit of medial femoral condyle (923), 2cmx2cm area extraction unit of lateral
femoral condyle (924) and 2 cmx lcm area extraction unit of suprapatellar area (925),
which are respectively used to calculate and extract the corresponding regions
with the marker (6) as the reference. The temperature conversion sub-module (93)
is used for calculating the temperatures of the five regions extracted by the
position calculation sub-block (92).
3. A knee osteoarthritis remote diagnosis and treatment system based on infrared
imaging according to claim2, is characterized in that the thermal image processing
module (9) further comprises a total skin temperature calculation sub-module (94), used to
calculate the average temperature of the five regions to obtain the total knee joint skin
temperature.
4. A knee osteoarthritis remote diagnosis and treatment system based on infrared
imaging according to claim 1, is characterized in that the angle calibration component (4),
the distance calibration component(5),the marker (6), and the infrared thermal imager (7)
are integrated on the test bench (20).Wherein the detection table (20) is provided with
a bottom plate (201) on which a placement frame (202) is arranged. The placing
frame (202) is further provided with a fixing seat (203) for fixing the infrared
thermal imager (7) and a storage box (204) for storing the marker (6). Wherein
the angle calibration component (4) is arranged on the upper surface of the
bottom plate (201) comprising the central line (41) and a number of angle lines
(42) on both sides of the central line (41) with an angle of 15°; the lower end of
the placement frame (202) is located on the center line (41); The distance calibration assembly (5) comprises a calibration plate (51) and a bracket (52), the upper end of the bracket (52) is movably connected with the calibration plate
(51), the lower end of the bracket (52) is connected to the bottom plate (201),
and the horizontal distance between the calibration plate (51) and the lens of the
infrared thermal imager (7) is 76.2cm.
5. A knee osteoarthritis remote diagnosis and treatment system based on infrared
imaging according to claim 1, is characterized in that the temperature control device (2)
controls the temperature of the detection chamber (1) at 23±3°C.
6. A knee osteoarthritis remote diagnosis and treatment system based on infrared
imaging according to claim 1, is characterized in that the timer (3) is used to calculate the
time to ensure that the patient first exposes the affected knee joint in the detection
chamber (1) with a constant temperature for 10 minutes or more.
7. A knee osteoarthritis remote diagnosis and treatment system based on infrared
imaging according to claim 1, is characterized in that the angle calibration component (4)
is used for calibrating an angle, ensuring that patients use 15 °extemal rotation standing
position when testing.
8. A knee osteoarthritis remote diagnosis and treatment system based on infrared
imaging according to claim 1, is characterized in that the distance calibration component
(5) is used for calibrating a distance, ensuring a constant distance of76.2 cm between the
lens of the infrared camera (7) and the knee joint when the patient is detected.
9. A method for the study of knee osteoarthritis based on infrared imaging for
non-diagnostic and therapeutic purposes is characterized by comprising the steps
of:
Step SI: The temperature of the detection room is adjusted to 23°C3°C by
the temperature control device, and the subject first exposes the affected knee
joint for 10 minutes or more in the constant temperature detection
r o o m. Using the angle calibration component to adopt a 15° foot external
rotation standing position to keep a constant distance of 76.2cm between the lens
of the infrared camera and the knee joint, then marking the patella with a marker,
and the infrared camera captures the infrared thermal image of the knee joint of
the subject;
Step S2: the infrared heat image is imported into the computer, and then the
following five images are extracted through the image processing module 2
cm x 2 cm area of medial tibial plateau, 2 cm x 2 cm area of lateral tibial
plateau, 2 cm x 2 cm area of medial femoral condyle and 2 cm x 2 cm area of
lateral femoral condylar as well as 2 cm x 1 cm area of suprapatellar.
Step S3: the collected information data of the skin temperature of the
relevant area of the knee joint is sent to the terminal through the network.
Step S4: that structural lesion at the joints of the subject are detected by
routine examination, and the subjects are divided into a healthy group and a knee
osteoarthritis group, and the temperature difference between the two groups of
knee joint is compared to study the relationship between knee joint temperature
and the occurrence or development of knee osteoarthritis.
10. A knee osteoarthritis detection table based on infrared imaging is characterized
in that the detection table is provided with a bottom plate (201) on which a placement
frame (202) is arranged, and the placement frame(202) is further equipped with a fixing
seat (203) for fixing the infrared thermal imager (7) and a storage box (204) for storing
the marker (6). An angle calibration unit (4) being arranged on an upper surface of the
base plate (201), in particular comprises a central line (41) and a plurality of angular lines
(42) which are at an angle of 15 with that central line(41). The low 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 bracket (52), the upper end of which is movably
connected to the calibration plate(51), and the lower end of the bracket(52) is connected
to a bottom plate (201). The horizontal distance of the calibration plate (51) to the lens of
the infrared camera (7) is 76.2 cm.
Figure 1 1/4
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