CN106096608B - Chest temperature anomaly area's localization method and device - Google Patents
Chest temperature anomaly area's localization method and device Download PDFInfo
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- CN106096608B CN106096608B CN201610412865.8A CN201610412865A CN106096608B CN 106096608 B CN106096608 B CN 106096608B CN 201610412865 A CN201610412865 A CN 201610412865A CN 106096608 B CN106096608 B CN 106096608B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/03—Recognition of patterns in medical or anatomical images
Abstract
The invention proposes a kind of chest temperature anomaly area's localization method and devices, belong to human body temperature field of measuring technique, the method includes identifying supramammary features, according to temperature collecting device in the supramammary multi-point temperature sampled value, predicted temperature region of interest, based on the orientation of the features, indicate that user relocates the temperature collecting device to the temperature region of interest.The technical solution provided through the invention can realize the comprehensive monitoring for chest temperature and the monitoring for point of interest using the temperature sensor quantity minimized, the complexity of temperature sensing device and the cost of temperature sensing device are reduced, and the complexity for temperature signal post-processing algorithm can also be reduced.
Description
Technical field
The invention belongs to human body temperature fields of measurement more particularly to a kind of chest temperature anomaly area localization methods.
Background technique
Mammary gland disease is a kind of common disease for endangering women's health, and conventional inspection method mainly has X-ray and surpasses
Acoustic inspection, mainly according to breast tissue lesion when the constructive variations that occur carry out image analysing computer, pathologic finding be it is current really
Examine the generally accepted standard of mammary gland disease.With the improvement of living standards with the enhancing of people's health care consciousness, infrared thermal imaging
As a kind of emerging image technology, due to its non-invasi it is easy to operate the features such as, be gradually recognized and be applied to
The assessment and health care of mammary gland disease.It is mainly distributed to assess or indicate relevant pathology according to the skin temperature of breast tissue
Information and its lesion degree.Research in relation to infrared thermal imaging starts from the 1970s, Europe and the U.S. take the lead in infrared heat
Imaging technique is applied to medical domain, is concentrated mainly on the diagnosis of breast cancer disease.Nineteen eighty-three, United States drug Surveillance Authority
(FDA) official approval and approve that infrared thermal imaging technique can be used as the auxiliary diagnosis means of breast cancer disease, from this, infrared heat
Imaging technique starts the every field for being applied to medicine.
However, due to the limitation of infrared sensor and computer technology level, and lack the originals such as thermal image interpretation experience
Cause, once there is phenomena such as false positive is higher in the diagnosis of disease in infrared thermal imaging technique, so as to cause people to the technology
Query, then infrared thermal imaging technique applying in the field of medicine was once once at low ebb the later period in 1980.Until 1990
After year, with the fast development of infrared sensor technology, the raising of special computer image processing technology, infrared thermal imaging skill
Art causes the concern of medical field and community of physicists scholar again.Currently, infrared thermal imaging technique is because its is easy to operate, expense is low
The advantages that honest and clean, not damaged, convenient for repeating, the welcome by numerous medical personnels and high risk individual.In addition, using it is infrared at
As technology, doctor can also easily check that tumour, inflammation and infection etc. cause the heat distribution of human body or so mammary gland asymmetric
Related disease, facilitate the early detection of mammary gland disease while reducing unnecessary histotomy pathologic finding.Though however,
Right many researchers are carrying out having done many work in mammary gland disease detection and diagnosis using infrared thermal imaging technique for many years, but
So far diagnosis and evaluation criteria in relation to female mammary gland disease thermal image are not yet established, and thermal symmetry, TTM (Thermal are utilized
Texture Maps) etc. research that thermal-induced imagery is analyzed, do not obtain good development so far yet.Moreover, this benefit
With thermal imaging, the technology of thermal-induced imagery, there are warming accuracy, detection process, and high risk individual to be needed to carry out and nothing in hospital
The self-service completion of method, it is difficult to capture the mammary gland canceration that diameter is less than 0.5cm.
Summary of the invention
Inventor has found that current thermal imaging deposits limitation in use in practice process, and this technology relies on
Large scale equipment, the thermal image within large area radiation acquisition chest a few minutes, can not accomplish the wearing for example in Mobile portable
Cheng Zhong captures long-term, continuous temperature sampling, and it is even more impossible to chest temperature information is captured under sleeping at night state.
In this regard, inventor devises can wear the device for acquiring continuous chest temperature data for a long time, sensing is utilized
Device (sensors) acquires the body temperature of chest.But since sensor is at high cost, if covered using big quantity sensor comprehensively
The chest of pending temperature acquisition undoubtedly will cause greatly improving for cost.And if value uses a small amount of sensor, these biographies
Sensor can only in a manner of insertion discretely temperature collection, sampled point is excessively sparse, then is unable to complete the comprehensive of entire chest
Temperature acquisition.Lack suitable method at present to instruct user to acquire the temperature of entire breast with traversing formula.
Based on it is found by the applicant that above-mentioned technical problem, the invention proposes a kind of chest temperature anomaly area localization method,
Described method includes following steps:
Step 1) identifies supramammary features；
Step 2) is according to temperature collecting device in the supramammary temperature sampling value, predicted temperature region of interest.
Orientation of the step 3) based on the features, instruction user relocate the temperature collecting device with the correspondence temperature
Spend region of interest.
In above-mentioned steps 3) described in temperature region of interest temperature be abnormality.
Preferably, it is also executed the following steps: after the step 3)
Step 4) identifies the temperature collecting device of the reorientation and the opposite position of the breast and/or the features
It sets.
Preferably, it is also executed the following steps: after the step 4)
Step 5) indicates that user calibrates the temperature collecting device in the cream according to the relative position identified
Orientation on room.
Preferably, following steps are executed between the step 1) and step 2):
Step 1.5): by chest area coordinatograph.
Preferably, the step 4) further comprises following steps:
4.1): the orientation based on the chest area coordinate and the features, instruction user relocate temperature acquisition dress
It sets to the temperature region of interest.
Preferably, the step 1) further comprises following steps:
1.1) according to the features, recognizing the breast is left breast or right breast.
Preferably, the step 1) further comprises following steps:
1.2) it is left breast or right breast that user, which specifies current breast,.
Preferably, the features include that the human eye of breast surface can recognize that abnormal sense organ portion and/or machine can recognize spy
Sign.
Preferably, following steps are executed before the step 1):
Step 0) is to chest moulding.
Preferably, the moulding uses standardization moulding brassiere or hole hole bed.
The present invention also proposes a kind of chest temperature anomaly area positioning device, communicates to connect with temperature acquisition equipment, and institute
Stating device includes following module:
Identification module, for identification supramammary features；
Prediction module is used for according to temperature collecting device in the supramammary temperature sampling value, predicted temperature region of interest；
Indicating module indicates that user relocates the temperature collecting device with right for the orientation based on the features
Answer the temperature region of interest.
The temperature of the temperature region of interest is abnormality.
Preferably, the identification module is also used to: identify the reorientation temperature collecting device and the breast and/or
The relative position of the features.
Preferably, the indicating module is also used to: according to the relative position identified, indicating that user calibrates the temperature
Acquisition device is spent in the supramammary orientation.
Preferably, described device further includes coordinatograph module, is used for chest area coordinatograph.
Preferably, the indicating module is also used to: the orientation based on the chest area coordinate and the features, instruction
User relocates temperature collecting device to the temperature region of interest.
Preferably, the identification module, according to the features, recognizing the breast is left breast or right breast.
Preferably, described device further includes input module, and it is left breast that user, which specifies current breast by input module,
Or right breast.
Preferably, the features include that the human eye of breast surface can recognize abnormal sense organ portion and machine recognizable spy
Sign.
Based on the above-mentioned technical proposal, the present invention is based on the technologies identified to chest feature and stuck to continue thermometry
In conjunction with the number of sensors for being able to use minimum, which is realized, monitors and to temperature anomaly region of interest the full temperature of breast
Fixed point monitoring.To reduce the complexity of body temperature monitoring device, and reduce the cost of equipment.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings:
Fig. 1 is the structural schematic diagram according to a kind of temperature measuring equipment of the embodiment of the present invention；
Fig. 2 is the partial structural diagram according to a kind of temperature measuring equipment of the embodiment of the present invention；
Fig. 3 is the schematic diagram that breast characteristics are identified in the embodiment of the present invention；
Fig. 4 is the schematic diagram of the mobile temperature collecting device of instruction user in the embodiment of the present invention；
Fig. 5 is the schematic diagram that temperature interest zone position is obtained according to sensing temperature data according to the embodiment of the present invention；
Fig. 6 be according to the temperature measuring equipment of the embodiment of the present invention be applied to measurement breast temperature, and according to sensing temperature into
The schematic diagram of row adjustment；
Fig. 7 is according to the embodiment of the present invention by breast coordinates, and the signal of point of interest is shown in coordinatograph figure
Figure.
Specific embodiment
In order to make those skilled in the art more fully understand the technical solution in the embodiment of the present invention, below in conjunction with this hair
Attached drawing in bright embodiment, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described
Embodiment is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field
Those of ordinary skill's every other embodiment obtained without making creative work, belongs to protection of the present invention
Range.
Temperature collecting device used in the present invention can be such as Fig. 1, temperature measuring equipment illustrated in fig. 2, but be not limited to
This.Illustrative temperature measuring equipment includes: flexible substrate, is provided with circuit in flexible substrate；Temperature sensor, temperature sensor are solid
It being connect due to the flexible substrate, and with first circuit communication, temperature sensor senses the temperature in its present region,
And temperature data can be transferred to the equipment such as user equipment, such as PC, mobile phone, laptop computer, tablet computer, user is by answering
Handle the data collected with program or application (such as cell phone application), above-mentioned apparatus can relatively closely with thermometric portion
Position combines, and improves accuracy and the duration of temperature measuring equipment measurement temperature.
Certainly, since the quantity of temperature sensor influences equipment cost, and the increase of number of sensors will lead to letter
The increase of number number of passages increases the complexity of equipment and the complexity to temperature sensing signal processing, temperature sensor
Distribution will not usually cover entire breast.In the present invention, inventors realized that the sustaining temperature can be monitored and " feature knowledge
Not " technology combines, so that the monitoring for breast is realized, especially for emerging in the case where not using big quantity sensor
The monitoring in interesting region.
The position of human body can identify differentiation by " living things feature recognition " technology, can be with according to different positions
Use refer to/palmmprint road, local feature, physiological marker, blood vessel lines etc. be as the means of identification.By taking Fig. 1, Fig. 2 as an example, nipple,
Black " mole " or pigment spot are that supramammary human eye can recognize abnormal sense organ portion, even if there is no mole or pigmented spots on breast,
Can there are the marker that other naked eyes can not identify but machine vision can be recognizable, such as breast contours feature, texture
Etc..The accuracy of tracking is increased using the shape constraining between texture information and characteristic point.Although the algorithm has very high standard
Exactness, such as statistical model DAM (the Direct Appearance Model) knot of optical flow tracking algorithm and breast characteristics point location
Altogether, a kind of mixed model is established.Due to interframe continuous in video sequence have motion continuity, algorithm using characteristic point with
The position of track algorithm prediction breast characteristics point.And DAM model shows that there is very strong correlations between texture and shape, it will
DAM model corrects the error of local matching as global texture constraint, is used for location feature point.Pass through texture pair in DAM
The constraint of shape enhances the robustness of entire algorithm while improving tracking accuracy.Generally speaking, which has very high
Accuracy, but speed is slow.
Based on above-mentioned technology, user can be run in the equipment such as PC, mobile phone, laptop computer, tablet computer program or
Using can execute following steps by feature identification: identify the features of breast.Feature identification can be based on user equipment
Photographic device can also be based on dedicated equipment, such as infrared image pickup device etc..
In Fig. 1, Fig. 2, the object of petal shape is exactly temperature collecting device, is the carrier for being similar to " chest patch ", on
Face carries sensor group, constitutes temperature collecting device, and the central ring portion of the device is placed on nipple.In the present embodiment,
The temperature collecting device is located at the position of human chest.
Temperature collecting device includes sensor group (sensors), and sensor components cloth is arranged, and measures supramammary four
The temperature in big region.By sensor group, user can be positioned breast, and be based on the positioning, indicate user in cream
It is arranged or resets sensor on room.Certainly, user, which also can choose, skips the step.
The Temperature Distribution that sensor group measurement obtains, calculates by CPU, it is predicted that region of the somewhere temperature compared to test
Temperature it is higher, temperature is higher, and canceration possibility is bigger, should be regarded as quadrangle Xing Chu in danger area, such as figure, temperature is higher than herein
Test zone temperature belongs to danger zone, and certain danger area not necessarily has lesion, but this temperature anomaly area is
Our monitoring interest region.According to temperature collecting device in the supramammary multi-point temperature sampled value, we can be predicted
Temperature region of interest.The temperature of temperature region of interest is abnormality, the determination of temperature anomaly state, by the breast to multisample
The temperature statistics or historic state of corresponding position count or medical report statistics, and certain deviation is presented compared with normal condition
State, such as diversity factor are 0.23-0.95 DEG C etc..
When we have found the region of interest of prediction, can there are following situations-sensor is not covered with region of interest, need at this time
User is wanted to be adjusted, this adjustment foundation carries out the prediction of " region of interest ".As shown in Fig. 2, temperature collecting device exists
After measurement obtains temperature information on first position, after calculating, instruction user by temperature collecting device it is whole around nipple into
Row rotates, and one group of sensor array on such temperature collecting device can be more nearly " region of interest ".Instruction for user, can
To be the direct instruction based on angle, such as rotate clockwise 15 °.It is also possible to the instruction based on features, is with Fig. 1, Fig. 2
Example, after being identified, instruction user rotates temperature collecting device around nipple, and the sensor group in 110th area Er Shi is located at " cream
Outside head horizontal direction chest ", the position of " supramammary black mole is vertically downward ", after waiting users to operate according to the instruction, 110th area
Sensor group i.e. generally within the doubtful body surface high-temperature region on the star of quadrangle.Namely based on the orientation of features, indicate that user is directed to
Temperature region of interest and relocate the temperature collecting device so that temperature collecting device more fully corresponding temperature on the whole
Set one or several temperature sensor groups more fully corresponding temperature interest on region of interest or temperature collecting device
Area.
In above-mentioned repositioning process, although temperature collecting device is covered with always breast area, by for temperature
The opposite adjustment for spending sensor and breast position, realizes temperature monitoring better for " region of interest ".
After above-mentioned temperature collecting device reorientation, deviation may be also had, at this point, continuing logical with user equipment
The camera lens for crossing mobile phone carries out image recognition.
As shown in Figure 6, Figure 7, after by " living things feature recognition " with recognition site feature, breast is by coordinatograph.
Coordinate system can be the polar coordinates in figure, be also possible to other coordinate systems, to realize the Digital location in region.At this point, logical
Cross image procossing and identify the relative position that sensor group 110 is located in breast coordinates --- the position of sensor group is in temperature
There is obvious mark in the outside of acquisition device that is, backwards to the one side of skin, can be captured and be positioned by camera lens by user equipment.Together
When, although most of breast is all hidden by temperature collecting device at this time, user equipment can pass through two nipples and people
Characteristic point on body, and some characteristic points for being not limited to breast itself, storing (restore) again, it believes the coordinatograph of breast
Breath.To which user equipment had not only obtained position of the characteristic point under breast coordinates, but also obtained temperature anomaly area in breast coordinates
Under position, and " chest patch " position of temperature measuring equipment under breast coordinates can be calculated.Therefore, user equipment can indicate
User goes to go to move relative to the characteristic points such as " mole ", nipple by " chest patch " temperature measuring equipment, to cover temperature anomaly area.That is:
It can continue to indicate that user adjusts the relative position between above-mentioned the two/three, so that quadrangle is completely covered in sensor group 110
The doubtful position of high temperature where star.
Biometrics identification technology in the present embodiment can add collected human region image by image recognition
With identification.Using such as Image Acquisition and detection, image preprocessing, feature extraction and matching and know otherwise.By taking the photograph
As equipment acquisition still image, dynamic image, and it is acquired under different location, different conditions.When user sets in acquisition
When in standby coverage, acquisition equipment can search for automatically in the case where authorized and shoot the position image of user.
Raw feature detection is mainly used for the pretreatment of privileged site identification in practice, i.e., accurate calibration goes out spy in the picture
Determine position and the size at position.The pattern feature very abundant for including in characteristic image, such as histogram feature, color characteristic, mould
Plate features, structure feature and Haar feature etc..Feature detection is exactly information useful among these to be picked out, and utilize these spies
Levies in kind now detects.
Characteristic detection method is based on that Adaboost learning algorithm can be used, it closes some weaker classification methods
Together, it is combined into new very strong classification method.In feature detection process using Adaboost algorithm pick out it is some most can generation
Weak Classifier is configured to a strong classifier in the way of weighting by the rectangular characteristic (Weak Classifier) of table chest, then will instruction
Several strong classifiers got are composed in series the cascade filtering of a cascade structure, effectively improve the detection speed of classifier
Degree.
Characteristic image pretreatment: being to be handled simultaneously based on feature testing result image for characteristic image pretreatment
Finally serve the process of feature extraction.The original image of acquisition by various conditions due to being limited and random disturbances, often
It cannot directly use, it is necessary to the image preprocessings such as gray correction, noise filtering be carried out to it in the early stage of image procossing.It is right
For characteristic image, preprocessing process mainly include the light compensation of characteristic image, greyscale transformation, histogram equalization,
Normalization, geometric correction, filtering and sharpening etc..
Characteristic image extracts: feature workable for Feature Recognition System is generally divided into visual signature, pixels statistics feature, spy
Levy image transform coefficients feature, characteristic image algebraic characteristic etc..Character extracts certain features aiming at characteristic image
It carries out, it carries out feature modeling to characteristic image region.The method of feature extraction, which is summed up, is divided into two major classes: one is bases
In the characterizing method of knowledge；Another is the characterizing method based on algebraic characteristic or statistical learning.
Knowledge based engineering characterizing method mainly according to the shape description of feature organ and they the distance between characteristic
The characteristic for facilitating tagsort is obtained, characteristic component generally includes Euclidean distance, curvature and angle between characteristic point
Degree etc..The part of characteristic portion and and between them structural relation geometric description, can be used as the important of identification feature image
Feature, these features are referred to as geometrical characteristic.Knowledge based engineering characteristic present mainly includes method and mould based on geometrical characteristic
Plate matching method.
Characteristic image matching and identification: the feature templates stored in the characteristic and database of the characteristic image of extraction into
Row search matching, by setting a threshold value, when similarity is more than this threshold value, then result matching obtained is exported.Feature
Identification is exactly to be compared feature to be identified with obtained feature templates, is sentenced according to similarity degree to characteristic information
It is disconnected.This process is divided into two classes again: one kind is confirmation, is the one-to-one process for carrying out image comparison, it is one that another kind of, which is identification,
To the processes for carrying out images match comparison more.
Recognizer (Feature-based recognition algorithms) based on characteristic point.
Recognizer (Appearance-based recognition algorithms) based on entire image.
Recognizer (Template-based recognition algorithms) based on template.
Algorithm (the Recognition algorithms using neural identified using neural network
network)。
According to user demand, optionally, moulding is carried out to breast using shaped tool.Shaped tool include: moulding brassiere,
" hole hole bed " etc..
The effect of moulding is: the shape of breast can be standardized, so that front and back passes twice through the coordinatograph of APP
And it can be than more consistent when carrying out pattern-recognition.
Such as the arrangement of sensor group shown in following FIG. 5, and in figure at " ☆ " it is canceration area, that is, entire supramammary
Temperature highest portion, and several sensor groups " 7R ", " 3R ", " 2R ", " 5R ", " 4R " are surveyed on breast according to its present arrangement
To after temperature, temperature information is transferred to user equipment, thus shown in application program perhaps application application program or
Using above anti-high temperature position, low temperature position, then, application program can be released according to the gradient, divergence, curl in temperature field
Or temperature measuring equipment is moved to another orientation by application instruction user, so that some in measuring device/certain several temperature
Sensor group is higher to the coverage of high-temperature region shown in " ☆ ", so that its temperature is more directly and more precisely measured, the screening portion
Whether the temperature of position is consistent with the estimated result obtained by Temperature calculating.
It distributed multiple sensors in Fig. 5, above temperature-sensing device, and above-mentioned calculating is only application program or application
According to the measurement in wherein above-mentioned multiple sensor groups to helpful " specific several " sensors of the local temperature field are calculated
As a result counter to be pushed away, see several sensors that arrow is covered in Fig. 5.
Optionally, above-mentioned measurement can carry out at night, so that " basal body temperature of human body " is directed to, in this way to breast cancer
Screening it is more helpful.
Such as first evening chest mounted body temperature measuring device is freely worn, second is late according to the first evening measurement result, estimates
Temperature anomaly area is counted, then, instruction user relocates chest and pastes temperature measuring equipment, to ensure sensor thereon with high coverage to institute
The temperature anomaly area of estimation forms covering.Third day then confirmatory measurement as a result, comparing the estimation temperature and observed temperature of target area
Between consistency continue to adjust according to verification result.
By taking Fig. 5 as an example, if it is desired that " temperature collecting device " is moved to above-mentioned position by user, then need to user one
Temporald eixis information, to allow to according to instruction to execute.Position of the user equipment according to temperature anomaly area, instruction use
Family: sensor " 5R ", sensor " 4R ", which are vertically moved down, keeps it across nipple, or instruction user that chest patch temperature measuring equipment is whole
Move down 2cm, thus make region of interest generally within the wrapping of 5R, 4R, 2R triangle constituted among.Comprising sensor " 7R ",
" 3R ", " 2R ", " 5R ", " 4R " sensor group are attached on a carrier as shown in Figure 3, Figure 4, the phase between each sensor
Position has been fixed, and this is for each sensor relative to the identifiable situation in temperature collecting device position, with difference
Color or form encoded, indicate the position of each sensor on the outside of the temperature collecting device departing from skin；It is excellent
The substrate of selection of land, the carrying sensor of the mounted temperature collecting device of chest can be set to transparent material.The above method passes temperature
Sensor setting is being located exactly at temperature " region of interest ", can also reduce the complexity of algorithm in last handling process.
If the carrier of the monolith " temperature collecting device " for Fig. 3, Fig. 4, the program or application in user apparatus can also
It is instructed with being sent to user, but this also needs some benchmark, to instruct which position " temperature collecting device " is moved to by user
It sets.And be somebody's turn to do " benchmark " and need based on the information after " breast coordinates " before and after above-mentioned mark red area, and the instruction to user,
It is generally basede on supramammary features then to carry out.Breast is by coordinatograph, and chest pastes and the spies such as sensor group thereon, nipple
Sign portion, this three of temperature anomaly area are all located in coordinate system, to be easy planning with " sensor group " covering " temperature anomaly area "
The mobile route of chest patch and destination region, but for a user, " temperature anomaly area " are sightless, only " features such as nipple
Portion " is visible, and therefore, needs to assign by " features such as nipple " to user instruction, such as instruction can be, by Fig. 3
Shown in " temperature collecting device rotates clockwise 30 degree around nipple " etc..Purpose is the sensor made on " temperature collecting device "
Group reaches this and calculates estimated " temperature anomaly area ", with better orientation, higher coverage go covering should " region of interest ",
Convenient for directly measuring and verifying the abnormality degree of the region of interest temperature.So-called temperature region of interest, i.e., the temperature found in research process
Exceptions area, high temperature/low-temperature region.
Temperature measuring equipment in above-mentioned some embodiments is also used as cancer cell thermometer, for detecting, monitoring human body, especially
It is body surface, the issuable temperature anomaly because of the growth of cancer cell, canceration, auxiliary so as to from the index of Temperature changing
Help the screening for carrying out disease (such as cancer), health evaluating work.
The above description is merely a specific embodiment, but scope of protection of the present invention is not limited thereto, any
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by those familiar with the art, all answers
It is included within the scope of the present invention.Therefore, protection scope of the present invention should be subject to the protection scope in claims.
Claims (20)
1. a kind of chest temperature anomaly area localization method, described method includes following steps:
Step 1) identifies supramammary features；
Step 2) is according to temperature collecting device in the supramammary temperature sampling value, predicted temperature region of interest；
Orientation of the step 3) based on the features, it is emerging with the correspondence temperature that instruction user relocates the temperature collecting device
Interesting area；
The method continues the combination of thermometry based on the technology and sticking type identified to chest feature, is able to use minimum
Number of sensors realize to the monitoring of the full temperature of breast and the fixed point of temperature anomaly region of interest monitored.
2. localization method according to claim 1, it is characterised in that: the temperature of the temperature region of interest is abnormality.
3. localization method according to claim 1, which is characterized in that also executed the following steps: after the step 3)
Step 4) identifies the temperature collecting device of the reorientation and the relative position of the breast and/or the features.
4. localization method according to claim 3, the step 4) also executes the following steps: later
Step 5) is according to the relative position of identification, and instruction user's calibration temperature collecting device is in the supramammary side
Position.
5. localization method according to claim 1, which is characterized in that execute following step between the step 1) and step 2)
It is rapid:
Step 1.5): by chest area coordinatograph.
6. localization method according to claim 3, which is characterized in that the step 4) further comprises following steps:
4.1): the orientation based on the chest area coordinate and the features, instruction user relocate temperature collecting device extremely
The temperature region of interest.
7. localization method according to claim 1, which is characterized in that the step 1) further comprises following steps:
1.1) according to the features, recognizing the breast is left breast or right breast.
8. localization method according to claim 1, which is characterized in that the step 1) further comprises following steps:
1.2) it is left breast or right breast that user, which specifies current breast,.
9. localization method according to claim 1, it is characterised in that: the features include that the human eye of breast surface can be known
Not abnormal sense organ portion and/or machine can recognize feature.
10. localization method according to claim 1, the step 1) executes following steps before:
Step 0) is to chest moulding.
11. localization method according to claim 10, which is characterized in that the moulding uses standardization moulding brassiere or hole
Hole bed.
12. a kind of chest temperature anomaly area positioning device is communicated to connect with temperature acquisition equipment, and described device includes as follows
Module:
Identification module, for identification supramammary features；
Prediction module is used for according to temperature collecting device in the supramammary temperature sampling value, predicted temperature region of interest；
Indicating module indicates that user relocates the temperature collecting device with the correspondence temperature based on the orientation of the features
Spend region of interest；
Described device continues the combination of thermometry based on the technology and stuck identified to chest feature, is able to use minimum
Number of sensors realize to the monitoring of the full temperature of breast and the fixed point of temperature anomaly region of interest monitored.
13. device according to claim 12, which is characterized in that the temperature of the temperature region of interest is abnormality.
14. device according to claim 12, which is characterized in that the identification module is also used to: identifying the reorientation
Temperature collecting device and the breast and/or the features relative position.
15. device according to claim 14, the indicating module is also used to: according to the relative position identified,
Indicate that user calibrates the temperature collecting device in the supramammary orientation.
16. device according to claim 12, which is characterized in that described device further includes coordinatograph module, is used for chest
Portion's area coordinate.
17. device according to claim 12, which is characterized in that the indicating module is also used to: being based on the chest region
The orientation of domain coordinate and the features, instruction user relocate temperature collecting device to the temperature region of interest.
18. device according to claim 12, which is characterized in that the identification module recognizes institute according to the features
Stating breast is left breast or right breast.
19. device according to claim 12, which is characterized in that described device further includes input module, and user passes through defeated
Entering module to specify current breast is left breast or right breast.
20. device according to claim 12, it is characterised in that: the features include that the human eye of breast surface can recognize
Abnormal sense organ portion and machine recognizable feature.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610412865.8A CN106096608B (en) | 2016-06-14 | 2016-06-14 | Chest temperature anomaly area's localization method and device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610412865.8A CN106096608B (en) | 2016-06-14 | 2016-06-14 | Chest temperature anomaly area's localization method and device |
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| Publication Number | Publication Date |
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| WO2018133080A1 (en) * | 2017-01-22 | 2018-07-26 | 上海温尔信息科技有限公司 | Temperature analysis method and device |
| CN106937865B (en) * | 2017-03-27 | 2020-04-24 | 西南交通大学 | Temperature monitoring system and monitoring method capable of early warning breast lesions |
| CN108261180A (en) * | 2018-01-17 | 2018-07-10 | 深圳市衣信互联网科技有限公司 | Separate type infrared detection device and intelligent underwear |
| CN108056760A (en) * | 2018-01-17 | 2018-05-22 | 深圳市衣信互联网科技有限公司 | Breast cancer detection underwear and detecting system |
| CN108720813A (en) * | 2018-08-13 | 2018-11-02 | 脱浩东 | A kind of flexible sensor for breast cancer monitoring |
| CN108720811A (en) * | 2018-08-13 | 2018-11-02 | 脱浩东 | A kind of Breast health apparatus for evaluating using mammary gland internal temperature data |
| CN111507032B (en) * | 2020-03-31 | 2021-09-24 | 中国人民解放军军事科学院国防科技创新研究院 | Deep learning technology-based component layout optimization design method for predicting temperature distribution |
| CN112581426B (en) * | 2020-11-06 | 2023-01-17 | 上海达适医疗科技有限公司 | Method for identifying left leg and right leg of infrared thermal imaging image |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101040288A (en) * | 2004-07-07 | 2007-09-19 | 真实成像有限公司 | 3d thermal breast cancer detector |
| CN101474064A (en) * | 2008-09-18 | 2009-07-08 | 中国计量学院机电工程学院 | Method and device for testing electronic thermometer |
| CN104223385A (en) * | 2013-06-07 | 2014-12-24 | 南开大学 | Intelligent bra for early detection of breast cancer |
| CN104687276A (en) * | 2015-03-31 | 2015-06-10 | 成都柏森松传感技术有限公司 | Intelligent bra |
| CN105105722A (en) * | 2015-08-28 | 2015-12-02 | 上海温尔信息科技有限公司 | Temperature sensing device and temperature sensing underwear |
| CN105520721A (en) * | 2015-12-18 | 2016-04-27 | 上海温尔信息科技有限公司 | Cancerization region precise measuring and recognizing device based on body surface temperature field |
| CN105528524A (en) * | 2015-12-23 | 2016-04-27 | 上海温尔信息科技有限公司 | Generation method for temperature four-dimensional perspective in body surface cancerous area |
| CN205251520U (en) * | 2015-12-03 | 2016-05-25 | 河北百富勤生物科技有限公司 | Through measuring device that breast surface temperature judges breast disease |
-
2016
- 2016-06-14 CN CN201610412865.8A patent/CN106096608B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101040288A (en) * | 2004-07-07 | 2007-09-19 | 真实成像有限公司 | 3d thermal breast cancer detector |
| CN101474064A (en) * | 2008-09-18 | 2009-07-08 | 中国计量学院机电工程学院 | Method and device for testing electronic thermometer |
| CN104223385A (en) * | 2013-06-07 | 2014-12-24 | 南开大学 | Intelligent bra for early detection of breast cancer |
| CN104687276A (en) * | 2015-03-31 | 2015-06-10 | 成都柏森松传感技术有限公司 | Intelligent bra |
| CN105105722A (en) * | 2015-08-28 | 2015-12-02 | 上海温尔信息科技有限公司 | Temperature sensing device and temperature sensing underwear |
| CN205251520U (en) * | 2015-12-03 | 2016-05-25 | 河北百富勤生物科技有限公司 | Through measuring device that breast surface temperature judges breast disease |
| CN105520721A (en) * | 2015-12-18 | 2016-04-27 | 上海温尔信息科技有限公司 | Cancerization region precise measuring and recognizing device based on body surface temperature field |
| CN105528524A (en) * | 2015-12-23 | 2016-04-27 | 上海温尔信息科技有限公司 | Generation method for temperature four-dimensional perspective in body surface cancerous area |
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