CN110298902A - A kind of medicine Infrared image reconstruction method, system and computer and storage medium - Google Patents
A kind of medicine Infrared image reconstruction method, system and computer and storage medium Download PDFInfo
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Abstract
The invention belongs to medicine Infrared Image Processing Methods, and in particular to a kind of medicine Infrared image reconstruction method, system and computer and storage medium.It solves in existing infrared image processing, the contrast of infrared image is insufficient, and reconstructed back edge profile is still more fuzzy, leads to the problem of precision deficiency.Wherein method for reconstructing includes the stable pretreatment image of acquisition, is divided into multiple pixels, obtains the active ratio of each pixel according to each pixel temperature regeneration rate and cooling rate, maps to obtain corresponding activity than image completion reconstruction by color；Reconstructing system includes thermal infrared imager, image processing module and display module, for realizing the above method.In addition, method for reconstructing of the invention can also be stored in computer readable storage medium or be stored on the processor of computer for executing.It can obtain contrast and contour sharpness better image.
Description
Technical field
The invention belongs to medicine Infrared Image Processing Methods, and in particular to a kind of medicine Infrared image reconstruction method, system
With computer and storage medium.
Background technique
According to clinical research, when lesion occurs for the certain positions of human body, while the change of heat energy distribution will be also generated, thus
Cause the changes in distribution of shell temperature, therefore, temperature be it is most common observation and measurement bodily fuctions normally whether index it
One, it is diagnosed also by obtaining whole body or local temperature changes in distribution as conventional medical diagnosis means.
Medicine infra-red thermal imaging system can obtain the distribution of body surface real time temperature, by the infrared shadow under human body disease condition
Infrared influence under loud and normal physiological condition is compared, and pathological state, the infrared heat of traditional medicine are judged by difference
Image contrast is poor, it is difficult to accurately carry out qualitative analysis to lesions such as veins beneath the skin and tumours, limit its answering clinically
With with it is universal.
Confirm through research, external contact stimulation (most common is to carry out cold stimulation with ice bag) is carried out to skin surface, is removed
During skin temperature is restored to normal condition after stimulus, subcutaneously there is the region resume speed of blood vessel and tumor tissues obvious
It is faster than close region.Based on this, the dynamic consecutive image of skin temperature field gradual change is obtained with infrared thermal imager after cold stimulation
Sequence can characterize state of the skin in temperature recovery process, to an available Zhang Hong after this group of image progress image reconstruction
Outer image, the relatively clear reflection target morphology feature of energy.Dynamic consecutive image sequence is analyzed as unit of pixel, at present most
Common method for reconstructing is to generate one " τ image ", and temperature recovery reaches steady after defining the i-th column, the removal of jth row pixel cold stimulation
Determine the time required to state (numerical value of the pixel has been no longer changed in dynamic consecutive image sequence) to be tij, then every in τ image
A pixel numerical value τijCalculation are as follows: τij=0.63tij。
But, affected part and the difference at health can be more clearly characterized although τ image is compared with conventional infrared image,
The edge contour of τ image is more fuzzy, and there are also to be improved for precision.
Summary of the invention
The main object of the present invention is solved in existing infrared image processing, and the contrast of infrared image is insufficient, reconstructed
Back edge profile is still more fuzzy, leads to the problem of precision deficiency.There is provided a kind of medicine Infrared image reconstruction method, system and
Computer and storage medium.
To achieve the above object, the invention provides the following technical scheme:
A kind of medicine Infrared image reconstruction method is used for non-disease diagnostic purpose, is characterized in that, including following step
It is rapid:
Step 1, infrared image is acquired
With detected part image of the thermal infrared imager continuous acquisition after cold treatment, stop adopting until image no longer changes
Collection, is denoted as pretreatment image；
Step 2, divide pixel
Pretreatment image is divided into i*j pixel, wherein i is pixel line number, and j is pixel columns；
Step 3, reconstruction image
Calculate the temperature regeneration rate of each pixel:
Calculate the cooling rate of each pixel:
Wherein, t1For cold treatment time, t2To acquire image persistence；T1ijBefore the i-th row jth column pixel cold treatment
Temperature, T2ijFor the temperature after the i-th row jth column pixel cold treatment；By each pixel during step 1 acquires infrared image
Maximum temperature value is denoted as Tmaxij, reference temperature TRFor each pixel TmaxijMinimum value；
Obtain the activity ratio A of each pixelij:
By the activity of each pixel than mapping to obtain activity than image through color, complete to rebuild.
Further, in step 1, the cold treatment is specifically, by detected part at 24 ± 2 DEG C of temperature range, humidity model
Exposed at least 2min under the constant-temperature constant-humidity environment of 40-60% is enclosed, ice bag cold compress is then used, mixture of ice and water is housed in ice bag.
Further, in step 1, the detected part image with thermal infrared imager continuous acquisition through cold treatment, be
It 24 ± 2 DEG C of temperature range, carries out under the constant-temperature constant-humidity environment of humidity range 40-60%.
Further, in step 1, the detected part image with thermal infrared imager continuous acquisition through cold treatment, continuously
The frequency of acquisition is 0.5s/.
Further, in step 1 and step 2, the t1And t2Precision be the second.
Further, in step 2, pretreatment image is divided into i*j pixel, the i is 240, and the j is 320.
A kind of reconstructing system for realizing above-mentioned medicine Infrared image reconstruction method, is characterized in that, including red
Outer thermal imaging system, image processing module and display module；
Thermal infrared imager, detected part image of the continuous acquisition after cold treatment, until image no longer changes and is denoted as pre- place
Image is managed, acquisition is stopped；
Pretreatment image is divided into i*j pixel by image processing module, and wherein i is pixel line number, and j is pixel columns；
According to the cooling rate C of each pixel cold treatmentij, and the temperature regeneration rate R in continuous acquisition image processij, obtain
The active ratio of each pixelIt maps to obtain activity than image than carrying out color to the activity of each pixel, and sends
To display module；
Display module, display activity compare image.
A kind of computer readable storage medium, is stored thereon with computer program, is characterized in that, which is located
Reason device performs the steps of when executing
Step 1, divide pixel
Pretreatment image is divided into i*j pixel, wherein i is pixel line number, and j is pixel columns；Wherein pretreatment figure
It seem to be remembered with detected part image of the thermal infrared imager continuous acquisition after cold treatment until image no longer changes stopping acquisition
Do pretreatment image；
Step 2, reconstruction image
Calculate the temperature regeneration rate of each pixel:
Calculate the cooling rate of each pixel:
Wherein, t1For cold treatment time, t2To acquire image persistence；T1ijBefore the i-th row jth column pixel cold treatment
Temperature, T2ijFor the temperature after the i-th row jth column pixel cold treatment；By each pixel during step 1 acquires infrared image
Maximum temperature value is denoted as Tmaxij, reference temperature TRFor each pixel TmaxijMinimum value；
Obtain the activity ratio A of each pixelij:
By the activity of each pixel than mapping to obtain activity than image through color, complete to rebuild.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
Computer program is characterized in that the processor performs the steps of when executing described program
Step 1, divide pixel
Pretreatment image is divided into i*j pixel, wherein i is pixel line number, and j is pixel columns；Wherein pretreatment figure
It seem to be remembered with detected part image of the thermal infrared imager continuous acquisition after cold treatment until image no longer changes stopping acquisition
Do pretreatment image；
Step 2, reconstruction image
Calculate the temperature regeneration rate of each pixel:
Calculate the cooling rate of each pixel:
Wherein, t1For cold treatment time, t2To acquire image persistence；T1ijBefore the i-th row jth column pixel cold treatment
Temperature, T2ijFor the temperature after the i-th row jth column pixel cold treatment；By each pixel during step 1 acquires infrared image
Maximum temperature value is denoted as Tmaxij, reference temperature TRFor each pixel TmaxijMinimum value；
Obtain the activity ratio A of each pixelij:
By the activity of each pixel than mapping to obtain activity than image through color, complete to rebuild.
Compared with prior art, the beneficial effects of the present invention are:
1. medicine Infrared image reconstruction method of the present invention obtains skin with infrared thermal imager after detected part cold treatment
The dynamic consecutive image sequence of skin temperature field gradual change characterizes state of the skin in temperature recovery process, carries out to image sequence
An available corresponding activity compares image by introducing temperature regeneration rate and cooling rate, activity than image after reconstruction
It is more preferable than original infrared image and τ picture contrast, the clearer reflection detected part morphological feature of energy, image definition
With it is more preferable to comparing, and the details of target signature is more clear.Method of the invention can be widely used in simulation or teaching.
2. the present invention keeps detected part sufficiently exposed under conditions of constant temperature and humidity, environmental disturbances are eliminated.
3. the present invention acquires image using thermal infrared imager under conditions of constant temperature and humidity, precision is higher, infrared thermal imagery
Instrument is influenced smaller by environmental change.
4. the frequency of present invention acquisition image is 0.5s/, when will especially restore after cold treatment when detected part, energy
It is enough more accurately to capture pretreatment image, and stop acquisition in time, and then acquire image persistence t2Record it is more quasi-
Really.
5. the time precision recorded in the present invention is s, it is more accurate to rebuild structure.
6. pretreatment image is divided into the pixel of 240*320 by the present invention, diagnostic accuracy not only ensure that but also because segmentation number closes
Reason has saved reconstruction time.
7. medicine Infrared image reconstruction system of the invention, by thermal infrared imager continuous acquisition image, until stablizing shape
Obtain pretreatment image under state, image processing module is split pretreatment image, calculates and color mapping, is finally showing
Activity is obtained in module compares image.Reconstructing system through the invention can effectively realize method for reconstructing above-mentioned, be compared
Degree and the higher activity of contour sharpness compare image.
8. computer readable storage medium of the invention, the method for storing image reconstruction, converting the method for reconstruction to can
The program being executed by processor is completed to rebuild in more convenient and fast method.
9. computer equipment of the invention stores the method for reconstruction on a memory in a manner of it can run program, and
It is run by processor, only need to pre-enter pretreatment image can automatically complete reconstruction.
Detailed description of the invention
Fig. 1 is the flow diagram of Infrared image reconstruction method of the present invention；
Fig. 2 is the detected part image after cold treatment that thermal infrared imager continuous acquisition is used in the embodiment of the present invention one；
Fig. 3 is that activity obtained in the embodiment of the present invention one compares image；
Fig. 4 is τ image obtained in the embodiment of the present invention one
Fig. 5 is τ ' image obtained in the embodiment of the present invention one.
Specific embodiment
Below in conjunction with the embodiment of the present invention and attached drawing, technical solution of the present invention is clearly and completely described,
Obviously, described embodiment is not limitation of the present invention.
A kind of Infrared image reconstruction method as shown in Figure 1, comprising the following steps:
Step 1, infrared image is acquired
With detected part image of the thermal infrared imager continuous acquisition after cold treatment, stop adopting until image no longer changes
Collection, is denoted as pretreatment image；
Step 2, divide pixel
Pretreatment image is divided into i*j pixel, wherein i is pixel line number, and j is pixel columns；
Step 3, reconstruction image
Calculate the temperature regeneration rate of each pixel:
Calculate the cooling rate of each pixel:
Wherein, t1For cold treatment time, t2To acquire image persistence；T1ijBefore the i-th row jth column pixel cold treatment
Temperature, T2ijFor the temperature after the i-th row jth column pixel cold treatment；By each pixel during step 1 acquires infrared image
Maximum temperature value is denoted as Tmaxij, reference temperature TRFor each pixel TmaxijMinimum value；
Obtain the activity ratio A of each pixelij:
By the activity of each pixel than mapping to obtain activity than image through color, complete to rebuild.
Temperature variation characteristic when lesion occurs using partes corporis humani position for the present invention, i.e. the position can accordingly generate thermal energy point
The change of cloth, in addition, the position is by after cold treatment, with do not occur lesion close on position compared with temperature restore faster.By adopting
Continuous image sequence in recovery process is obtained with infrared thermal imager, until image, which is no longer changed after stablizing, obtains pre- place
Image is managed, is rebuild after pretreatment image is divided into pixel, defines each pixel temperature regeneration rate RijWith cooling rate
CijRatio be active ratio, activity is than mapping to obtain corresponding activity than image, to diagnose to detected part through color.
Spot temperature since lesion occurs restores that faster, diagnosis can be completed under greater efficiency using the above method；Meanwhile
The activity to undergo reconstruction is more relatively sharp than image, and contrast is higher, and image outline is apparent.
Embodiment one
(1) thyroid gland position is exposed under 24 ± 2 DEG C of temperature range, the constant-temperature constant-humidity environment of humidity range 40-60%
2min, then with the ice bag cold compress 30s that mixture of ice and water is housed；
(2) it is fixed under identical constant-temperature constant-humidity environment above thermal infrared imager Thyreoidine position, thermal infrared imager booting
Start to acquire image after 5min, with the thyroid gland position image after thermal infrared imager continuous acquisition cold compress, the frequency of continuous acquisition
It is 0.5s/, until image no longer changes and is denoted as pretreatment image, stops acquisition, acquire image persistence 150s；
(3) pretreatment image is divided into 240*340 pixel, by the highest temperature of each pixel in acquisition image process
Angle value is denoted as Tmaxij, take all pixel TmaxijMinimum value be denoted as reference temperature TR；
(4) the temperature regeneration rate R of each pixel is calculated separatelyijWith cooling rate Cij, obtain the active ratio of each pixelMap to obtain activity than image completion reconstruction by color again.
Embodiment two
(1) forearm position is exposed under 24 ± 2 DEG C of temperature range, the constant-temperature constant-humidity environment of humidity range 40-60%
2min, then with the ice bag cold compress 30s that mixture of ice and water is housed；
(2) thermal infrared imager is fixed under identical constant-temperature constant-humidity environment above forearm position, thermal infrared imager booting
Start to acquire image after 5min, with the forethiga bit image after thermal infrared imager continuous acquisition cold compress, the frequency of continuous acquisition is
0.5s/, until image no longer changes and is denoted as pretreatment image, stops acquisition, acquire image persistence 140s.It obtains such as figure
A series of images shown in 2, it can be seen that 0.5s does not see any blood vessel after cold treatment removes, and when 20s can clearly see
To angiosomes, basicly stable when 130s, complete stability when 140s is arrived；
(3) pretreatment image is divided into 240*340 pixel, by the highest temperature of each pixel in acquisition image process
Angle value is denoted as Tmaxij, take all pixel TmaxijMinimum value be denoted as reference temperature TR；
(4) the temperature regeneration rate R of each pixel is calculated separatelyijWith cooling rate Cij, obtain the active ratio of each pixelIt maps to obtain activity as shown in Figure 3 than image by color again, completes to rebuild.
Fig. 4 and Fig. 5 is cold-treating process identical as two use of embodiment, and using same infrared heat under identical environment
After obtaining pretreatment image as instrument, through handling obtained τ image and τ ' image.In conjunction with Fig. 3, Fig. 4 and Fig. 5 it is found that using activity
Than the morphology minutia that the image of reconstruction can clearly characterize veins beneath the skin, there is better contrast.Wherein common τ
Image is the image rebuild on the basis of the time, and the recovery time as needed for subcutaneously having the region of blood vessel or tumor tissues is shorter,
Therefore the thermal recovery time τ in image after each pixel cold treatmentijNumerical value is smaller, for convenience with activity of the invention than scheming
As comparison, τ image is inverted to obtain τ ' image, the numerical value of each pixel in τ ' image are as follows:
Wherein τmaxFor the maximum value of pixel thermal recovery times all in τ image.The numerical value in τ ' image medium vessels region is more
Greatly, it is easier to be compared with activity than image.
In order to realize above-mentioned Infrared image reconstruction method, the invention also includes a kind of Infrared image reconstruction system, including it is red
Outer thermal imaging system, image processing module and display module；
Thermal infrared imager, detected part image of the continuous acquisition after cold treatment, until image no longer changes and is denoted as pre- place
Image is managed, acquisition is stopped；
Pretreatment image is divided into i*j pixel by image processing module, and wherein i is pixel line number, and j is pixel columns；
According to the cooling rate C of each pixel cold treatmentij, and the temperature regeneration rate R in continuous acquisition image processij, obtain
The active ratio of each pixelIt maps to obtain activity than image than carrying out color to the activity of each pixel, and sends
To display module；
Display module, display activity compare image.
Above-mentioned reconstructing system can complete the acquisition and reconstruction of infrared image, finally obtain the higher activity of contrast than figure
Picture.
In addition, Infrared image reconstruction method of the invention applies also for computer readable storage medium or computer is set
It is standby, only need to the pretreatment image of acquisition be pre-deposited or be inputted.
If being applied to computer readable storage medium, it is stored with computer program in computer readable storage medium, it should
Above method step is realized when program is executed by processor；If be applied to computer equipment, computer equipment include memory,
On a memory and the computer program that can run on a processor, when processor execution described program, is realized for processor and storage
Above-mentioned steps.Method for reconstructing can be more easily executed using readable storage medium storing program for executing and computer as medium, it is as a result more accurate.
In addition, method according to the present invention and the purpose for the medical diagnosis on disease being not applied on patent law purposes, but can
For imparting knowledge to students, research experiment, simulation, the foundation of enterprise simulation database etc., it is more preferable by obtaining contrast and contour sharpness
Activity than image, be conducive to widely research.
The above description is only an embodiment of the present invention, and it is not intended to limit the protection scope of the present invention, all to utilize the present invention
Equivalent structure transformation made by specification and accompanying drawing content, is applied directly or indirectly in other relevant technical fields, and wraps
It includes in scope of patent protection of the invention.
Claims (9)
1. a kind of medicine Infrared image reconstruction method is used for non-disease diagnostic purpose, which comprises the following steps:
Step 1, infrared image is acquired
Remembered with detected part image of the thermal infrared imager continuous acquisition after cold treatment until image no longer changes stopping acquisition
Do pretreatment image；
Step 2, divide pixel
Pretreatment image is divided into i*j pixel, wherein i is pixel line number, and j is pixel columns；
Step 3, reconstruction image
Calculate the temperature regeneration rate of each pixel:
Calculate the cooling rate of each pixel:
Wherein, t1For cold treatment time, t2To acquire image persistence；T1ijFor the temperature before the i-th row jth column pixel cold treatment
Degree, T2ijFor the temperature after the i-th row jth column pixel cold treatment；During step 1 acquires infrared image most by each pixel
High temperature value is denoted as Tmaxij, reference temperature TRFor each pixel TmaxijMinimum value；
Obtain the activity ratio A of each pixelij:
By the activity of each pixel than mapping to obtain activity than image through color, complete to rebuild.
2. a kind of medicine Infrared image reconstruction method as described in claim 1, it is characterised in that: in step 1, the cold treatment tool
Body is, by detected part under 24 ± 2 DEG C of temperature range, the constant-temperature constant-humidity environment of humidity range 40-60% exposed at least 2min,
Then ice bag cold compress is used, mixture of ice and water is housed in ice bag.
3. a kind of medicine Infrared image reconstruction method as claimed in claim 2, it is characterised in that: in step 1, the infrared heat
Detected part image as instrument continuous acquisition through cold treatment is the constant temperature of humidity range 40-60% at 24 ± 2 DEG C of temperature range
It is carried out under constant humidity environment.
4. a kind of medicine Infrared image reconstruction method as described in claim 1, it is characterised in that: in step 1, the infrared heat
Detected part image as instrument continuous acquisition through cold treatment, the frequency of continuous acquisition are 0.5s/.
5. a kind of medicine Infrared image reconstruction method as described in claim 1, it is characterised in that: in step 1 and step 2, the t1
And t2Precision be the second.
6. a kind of medicine Infrared image reconstruction method as described in claim 1, it is characterised in that: in step 2, by pretreatment image
It is divided into i*j pixel, the i is 240, and the j is 320.
7. a kind of reconstructing system for realizing any one of the claim 1-6 medicine Infrared image reconstruction method, feature
It is: including thermal infrared imager, image processing module and display module；
Thermal infrared imager, detected part image of the continuous acquisition after cold treatment, until image no longer changes and is denoted as pretreatment figure
Picture stops acquisition；
Pretreatment image is divided into i*j pixel by image processing module, and wherein i is pixel line number, and j is pixel columns；According to
The cooling rate C of each pixel cold treatmentij, and the temperature regeneration rate R in continuous acquisition image processij, obtain each
The active ratio of pixelIt maps to obtain activity than image than carrying out color to the activity of each pixel, and is sent to aobvious
Show module；
Display module, display activity compare image.
8. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
It is performed the steps of when row
Step 1, divide pixel
Pretreatment image is divided into i*j pixel, wherein i is pixel line number, and j is pixel columns；Wherein pretreatment image is
It is denoted as pre- with detected part image of the thermal infrared imager continuous acquisition after cold treatment until image no longer changes stopping acquisition
Handle image；
Step 2, reconstruction image
Calculate the temperature regeneration rate of each pixel:
Calculate the cooling rate of each pixel:
Wherein, t1For cold treatment time, t2To acquire image persistence；T1ijFor the temperature before the i-th row jth column pixel cold treatment
Degree, T2ijFor the temperature after the i-th row jth column pixel cold treatment；During step 1 acquires infrared image most by each pixel
High temperature value is denoted as Tmaxij, reference temperature TRFor each pixel TmaxijMinimum value；
Obtain the activity ratio A of each pixelij:
By the activity of each pixel than mapping to obtain activity than image through color, complete to rebuild.
9. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor performs the steps of when executing described program
Step 1, divide pixel
Pretreatment image is divided into i*j pixel, wherein i is pixel line number, and j is pixel columns；Wherein pretreatment image is
It is denoted as pre- with detected part image of the thermal infrared imager continuous acquisition after cold treatment until image no longer changes stopping acquisition
Handle image；
Step 2, reconstruction image
Calculate the temperature regeneration rate of each pixel:
Calculate the cooling rate of each pixel:
Wherein, t1For cold treatment time, t2To acquire image persistence；T1ijFor the temperature before the i-th row jth column pixel cold treatment
Degree, T2ijFor the temperature after the i-th row jth column pixel cold treatment；During step 1 acquires infrared image most by each pixel
High temperature value is denoted as Tmaxij, reference temperature TRFor each pixel TmaxijMinimum value；
Obtain the activity ratio A of each pixelij:
By the activity of each pixel than mapping to obtain activity than image through color, complete to rebuild.
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP3005540B1 (en) * | 1998-06-25 | 2000-01-31 | 勲 内田 | Calculation image creation method |
| CA2333406A1 (en) * | 1998-05-27 | 2000-10-22 | Omnicorder Technologies, Inc. | Method of detecting cancerous lesions |
| CN1823683A (en) * | 2006-04-03 | 2006-08-30 | 何宗彦 | Method of dynamic detecting organism parameter and its medical detecting analyzer |
| US20150187068A1 (en) * | 2012-05-18 | 2015-07-02 | Stc.Unm | Method and system for feature extraction and decision making from series of images |
| US20160249811A1 (en) * | 2013-10-23 | 2016-09-01 | The Trustees Of Dartmouth College | Surgical vision augmentation system |
| US20170270659A1 (en) * | 2016-03-18 | 2017-09-21 | Niramai Health Analytix Pvt Ltd | Contour-based determination of malignant tissue in a thermal image |
-
2019
- 2019-07-29 CN CN201910689274.9A patent/CN110298902B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CA2333406A1 (en) * | 1998-05-27 | 2000-10-22 | Omnicorder Technologies, Inc. | Method of detecting cancerous lesions |
| JP3005540B1 (en) * | 1998-06-25 | 2000-01-31 | 勲 内田 | Calculation image creation method |
| CN1823683A (en) * | 2006-04-03 | 2006-08-30 | 何宗彦 | Method of dynamic detecting organism parameter and its medical detecting analyzer |
| US20150187068A1 (en) * | 2012-05-18 | 2015-07-02 | Stc.Unm | Method and system for feature extraction and decision making from series of images |
| US20160249811A1 (en) * | 2013-10-23 | 2016-09-01 | The Trustees Of Dartmouth College | Surgical vision augmentation system |
| US20170270659A1 (en) * | 2016-03-18 | 2017-09-21 | Niramai Health Analytix Pvt Ltd | Contour-based determination of malignant tissue in a thermal image |
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