CN206057219U - Detector and the detection system for intelligence division energy area - Google Patents
Detector and the detection system for intelligence division energy area Download PDFInfo
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- CN206057219U CN206057219U CN201621032835.6U CN201621032835U CN206057219U CN 206057219 U CN206057219 U CN 206057219U CN 201621032835 U CN201621032835 U CN 201621032835U CN 206057219 U CN206057219 U CN 206057219U
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Abstract
This utility model provides a kind of detector and the detection system in energy area is divided for intelligence, each pixel column of wherein described detector includes an A classes electrode and multiple B classes electrodes, moving direction wherein along detected object is sequentially arranged the A classes electrode and the B classes electrode, so that the ray from detected object transmission is introduced into A class electrodes, B class electrodes are subsequently entered.
Description
Technical field
This utility model is related to radiographic imaging arts, in particular it relates to a kind of detector and divide for intelligence can area
Detection system.
Background technology
Imaging detection device using x-ray imaging technology is known, such as in subway, airport and bus station profit
The objects such as the personal baggages of passenger are detected with this device, checked whether that radioactive source, explosive, drugs etc. are non-
The article of method transport.Current mankind is severeer by the threat of terroristic organization, therefore the Object Classification energy in imaging detection device
The accuracy of power is particularly significant.
In recent years, with the development of semiconductor technology, room temperature semiconductor detector is applied in many fields, for example,
The fields such as nuclear physics, X-ray detection, gamma ray detector, astrosurveillance, environmental monitoring, medical imaging.Specifically, cadmium-zinc-teiluride
(CdZnTe is abbreviated as CZT) is due to working with preferable energy resolution, higher detection efficient and at room temperature
Advantage, and it is considered as most potential radiation detection material.
Compare with integral form with indirect type radiation detector, had using the photon counting imaging of CZT semiconductor detectors
Higher detection efficient, higher signal to noise ratio and higher energy resolution, it is thereby achieved that the image in multipotency area show and
Multipotency area information realization Object Classification can be passed through.The imaging detection device in multipotency area, different energy areas are had been proposed at present
Division is may apply in image display neutralize material identification.Specifically, can area dividing mode can include wait can Division,
Finely energy Division, the energy zoning of optimization are graded.
In fact, the optimization of material energy area is divided and has direct relation with scanning substances.For example, utilizing Bragg diffraction
In identification to monocrystalline or polycrystalline material, the scattering energy caused by different crystalline materials is different；Utilizing K-edge
In to the identification of metal material, the K-edge caused by different metal materials is also different；And in nonmetallic materials
In identification, different energy Divisions are equally different to the identification ability of different materials.Therefore, the division in single energy area can only
It is applied to particular area.However, in public places to the safety detection of article in, different situations, such as radioactive source, liquid can be run into
Body, explosive, drugs etc., single energy Division can not be applied to the place of numerous suspicious items.
Existing product is using fixed energy Division, that is to say, that existing product can be only applied to the field of relative narrower.
For example, when the product that energy Division is carried out for metal identification to be used to recognize liquid or Organic substance, effect will be deteriorated, class
As, when the product that energy Division is carried out for Organic substance identification is used for other application, effect can also be deteriorated.Therefore, it is existing
There is product to be difficult to apply in complicated place, but, current security situation is but required to while recognizing setting for various article
It is standby.If however, realizing the imaging detection device in multipotency area by depositing multiple devices in same place, system can be increased
Expense and site requirements can be improved.Additionally, also have at present product by increase can area's number (such as 32 can areas, 256 can areas or
Other more can areas) realizing the imaging detection device in multipotency area, but the design requirement of this system is often high, hard
The development difficulty of part and/or software aspects is also larger, and in practical application it is most can area Object Classification ability is not had
Too big help, causes system effectiveness relatively low.
In addition, in single linear array detector, the pixel of normal work can not reach 100%, and bad pixel can be known to material
Not do not show and produce considerable influence with image, due to detector price costly, change the detector meeting of cost relatively more and right
In the equipment of full-time employment, it is also what is be inconvenient to change.
In sum, this utility model provides a kind of detector and the detection system in energy area is divided for intelligence, wherein
The detection system can overcome energy area to increase the superelevation requirement to system design, overcome detector pixel to damage to image and thing
The impact of matter identification, and the performance of detector can be efficiently utilized and the operational efficiency of system is improved, improve system thing
The ability of matter identification.
Utility model content
In order at least one of at least solve the above problems, this utility model provides a kind of detector and is used for intelligence
The detection system in energy area can be divided.
According to first aspect of the present utility model, there is provided a kind of detector, wherein each pixel column of the detector
An A classes electrode and multiple B classes electrodes can be included, wherein the moving direction along detected object is sequentially arranged the A classes electrode
With the B classes electrode so that be introduced into A class electrodes from the ray of detected object transmission, subsequently enter B class electrodes.
Alternatively, the detector can also include being oriented to electrode or shield electrode, be arranged between each electrode.
Alternatively, corresponding each the A classes pixel of the A classes electrode can at least have 1 Ge Neng areas.
Alternatively, each B class pixel corresponding with the plurality of B classes electrode can at least have 3 Ge Neng areas.
Alternatively, the energy Division of each B class pixel can be identical.
Alternatively, the energy Division of each B class pixel can be different.
According to second aspect of the present utility model, there is provided a kind of detection system that energy area is divided for intelligence, the spy
Examining system can include：Detector, wherein each pixel column of the detector includes an A classes electrode and multiple B classes electrodes,
And the moving direction along detected object is sequentially arranged the A classes electrode and the B classes electrode so that from penetrating for detected object transmission
Line is introduced into A class electrodes, subsequently enters B class electrodes；Signal processing apparatus, including：First processing module, connects from the detector
Receive detectable signal；And Second processing module, in each the energy area for receiving that first processing module is calculated from first processing module
Signal number；And host computer, detectable signal corresponding with A class electrodes is received from the detector, and to Second processing module
Send for adjust first processing module intermediate energy region division one or more threshold values instruction.
Description of the drawings
Below in conjunction with accompanying drawing, will become apparent from above and other aspect of example embodiment of the present utility model, feature and
Advantage, in accompanying drawing：
Fig. 1 a) and Fig. 1 b) show the distribution of electrodes figure of detector anode according to example embodiment of the present utility model；
Fig. 2 shows that the process of the detection method for the detector according to example embodiment of the present utility model is illustrated
Figure；
Fig. 3 shows the detection system that energy area is divided for intelligence according to example embodiment of the present utility model；
Fig. 4 shows the flow process of the detection method that energy area is divided for intelligence according to example embodiment of the present utility model
Figure；And
Fig. 5 shows the applied environment of the detection system according to example embodiment of the present utility model.
Specific embodiment
Example of the present utility model is implemented below with reference to Description of Drawings.This utility model provide a kind of detector and
For the intelligent detection system for dividing energy area, wherein the detection system can overcome energy area to increase the superelevation to system design wanting
Ask, overcome impact of the detector pixel damage to image and Object Classification, and the performance of detector can be efficiently utilized
And improve the operational efficiency of system.
Although it should be clear that employ in the following description can work under greenhouse and with higher energy resolution and
The CZT detector of detection efficient, but this utility model is not limited to CZT detector, and other detectors can be adopted, for example
CdTe(Cadmium Telluride)、CdMnTe(Cadmium Manganese Telluride)、HgI2(Mercuric
Iodide)、T1Br(Thallium Bromide)、PbI2(Lead Iodide)、GaAs(Gallium Arsenide)、Ge
(Germanium) detector such as.
Although moreover, it is noted that based on object identification system realizing multipotency area in embodiment of the present utility model, but
Design of the present utility model can be applied to industry CT (Computed Tomography), doctor by this utility model not limited to this
Study in the apparatus fields such as picture, dentistry CT.
Therefore, this utility model is the detection system for providing a kind of detector and energy area being divided for intelligence, wherein
The detection system can overcome energy area to increase the superelevation requirement to system design, overcome detector pixel to damage to image and thing
The impact of matter identification, and the performance of detector can be efficiently utilized and the operational efficiency of system is improved, improve material and know
Other ability.
According to example embodiment of the present utility model, by the electrode structure for optimizing detector, a kind of raising can be provided
The detector of counting rate.Specifically, Fig. 1 a) and 1b) show detector anode according to example embodiment of the present utility model
Distribution of electrodes figure.Such as Fig. 1 a) shown in, in a pixel column 5 of detector, including an A class electrode (being expressed as " A ") and
Multiple B classes electrodes (being expressed as " B "), are sequentially arranged the A classes electrode and the B classes electrode along the moving direction of detected object,
So that the ray from detected object transmission is introduced into A class electrodes, B class electrodes are subsequently entered.In one embodiment, A classes electrode
Corresponding A classes pixel can be used for carrying out coarse scan to detected object；And the corresponding B classes pixel of B class electrodes can be according to A class pixels
Object Classification result carry out the energy binned of intelligent optimization, realize improving Object Classification ability, while counting rate can be improved.
Alternatively, in the energy Division of B class pixels, the energy Division of each B class pixel can be with identical, it is also possible to different.This
Outward, each B classes pixel at least has 3 Ge Neng areas, and energy Division can be decile in energy area, it is also possible to individually
Select certain specifically energy area.It should be noted that the shape of A classes and B class pixels can be diversified, it is not limited in Fig. 1 a) in
Shown shape.Fig. 1 b) schematically illustrate other possible detector anode electrode arrangements.Additionally, between each electrode
Guiding electrode or shield electrode can be added.
Fig. 2 shows that the process of the detection method for the detector according to example embodiment of the present utility model is illustrated
Figure.In the case of using the detector according to example embodiment of the present utility model, when detecting to detected object, from
The ray of detected object transmission first passes around A class electrodes, then through B class electrodes.When the detection letter for detecting the generation of A classes electrode
Number when, the view data with regard to detected object can be obtained, and according to acquired view data come rough estimate detected object
Material composition, i.e. carry out material classification.Then, the material composition according to rough estimate, reasonable selection simultaneously divide detection energy area
Scope, i.e. energy area intelligently divides, to determine the energy area of detectable signal corresponding with B class electrodes, and calculates in each energy area
Signal number, and then carry out material and accurately identify.
Alternatively, the production method of each electrode in above-mentioned example embodiment can using plated film, sputtering, evaporation,
Surface synthesizes, and electrode can be Ohmic contact or Schottky contacts.Additionally, the material of electrode can be gold, platinum, indium, oxidation
Indium, rhodium or other metal materials, or mixing material.
Detector and its detection method according to example embodiment of the present utility model is described property outlined above.Below
Describe the detection system and concrete detection method according to example embodiment of the present utility model by with reference to Fig. 3 and Fig. 4 in detail.Figure
3 show the detection system that energy area is divided for intelligence according to example embodiment of the present utility model.
Specifically, detector 310, configuration can be included according to the detection system 300 of example embodiment of the present utility model
It is to gather the ray from detected object transmission, produces detectable signal, wherein each pixel column of the detector includes an A class
Electrode and multiple B classes electrodes, and the moving direction along detected object is sequentially arranged the A classes electrode and the B classes electrode so that
A class electrodes are introduced into from the ray of detected object transmission, B class electrodes are subsequently entered.The concrete structure of detector 310 is as with reference to figure
Described in 1, here no longer will be repeated.Although additionally, detector is illustratively embodied as CZT detections in the present embodiment
Device, but this utility model not limited to this, detector 310 can be implemented as other kinds of detector, as long as its each pixel
Row are with the electrode structure according to example embodiment of the present utility model.It is when above-mentioned detection system is run, right from detecting
As the ray for transmiting is entered after CZT detector 310, occur to interact, so as to produce electronics and hole.Electronics is transported in the electric field
It is dynamic, reach anode pixels A and B class electrodes.
In addition, detection system 300 can also include signal processing apparatus 320 and host computer 330 (such as, PC).Specifically
Ground, signal processing apparatus 320 can include：First processing module 321, is configured to receive and process detectable signal, and according to
In one or more threshold values of energy Division, the signal number in each energy area is calculated；And Second processing module 322, configuration
Be result of calculation to be received from first processing module, and be sent to host computer 330.Alternatively, the first processing module 321
Application-specific integrated circuit ASIC is can be implemented as, wherein ASIC is put unit, master and puts unit, is filtered into as single before including charge-sensitive
Unit, threshold device, enumerator etc. such that it is able to realize the function that multipotency area counts, threshold value adjustable function.ASIC 321 can be by sun
The signal of pole is amplified, filters shaping, and the counting in different energy areas is performed according to the different threshold values do not put by FPGA 322.Institute
State Second processing module 322 and can be implemented as on-site programmable gate array FPGA.FPGA 322 can area by difference in ASIC 321
Count value data transfer to host computer 330.Host computer 330 is configurable to based on detectable signal corresponding with A class electrodes, is obtained
To the view data of detected object, and based on view data estimating the material composition of detected object.Additionally, host computer 330 is also
It is configurable to according to estimated material composition, controls Second processing module 322 and adjust be used for energy Division one
Or multiple threshold values, being divided with intelligence can area.Alternatively, the host computer 330 is additionally configured to：Based on spy corresponding with A class electrodes
Signal, output image data are surveyed, and based on detectable signal corresponding with B class electrodes, performs Object Classification.Washability ground, institute
State host computer 330 to be also configured as：Based on detectable signal corresponding with A classes and B class electrodes, output image data.Certainly, with
The corresponding detectable signal of B class electrodes can be used for output image data, especially carry out image in the case of A class pixel damages
Data output, so as to improving image quality and reducing maintenance cost.When host computer is embodied as PC, PC 330 can be controlled
FPGA 322, is configured to the threshold value of ASIC 321, and PC 330 is additionally configured to show the image of detected object, and really
The composition and species of settled front detected object.Additionally, after PC 330 receives A class electrodes corresponding detectable signal, according to PC
The algorithm of middle storage carries out intelligent division to the energy area of B class pixels, the energy area threshold value of ASIC 321 is carried out by FPGA 322
Adjust and control.
Fig. 4 shows the flow process of the detection method that energy area is divided for intelligence according to example embodiment of the present utility model
Figure.As shown in figure 4, in step 410, when detected object passes through sweep interval, by according to example embodiment of the present utility model
Detector come gather from detected object transmission ray, to produce detectable signal.In detection, due to adopting according to this practicality
New detector, so the transmitted ray of a certain position of detected object initially enters A class pixels, with object movement this
Position transmitted ray can enter B class pixels.In step 420, based on detectable signal corresponding with A class electrodes, detected object is obtained
View data, and based on view data estimate detected object material composition.Specifically, by the data of collection A class pixels,
The view data at this moment of object is obtained, through data processing and analysis, the suspicious composition of current object is obtained.Then in step
Rapid 430, according to estimated material composition, adjust one or more threshold values for energy Division.That is, according to estimation
Suspicious composition intelligent division is carried out to the energy area of B class pixels, it is interval to obtain most Canon's Division.When questionable material is various
In the case of possible, the energy area of B class pixels can select to cover all probabilities.For example, 4 be correspond in single A classes pixel
In the case of individual B classes pixel, if the optional Ge Neng areas number of B class pixels is 5, then the corresponding B classes picture of single A classes pixel
Su Neng areas sum is 20.It can be seen that, with it is fixed can area compare, this utility model improve can area's quantity, and with super multipotency area
Relatively, this utility model can improve the counting rate of single pixel such that it is able to improve the accuracy rate of Object Classification.Finally, in step
Rapid 440, determine the energy area of detectable signal corresponding with B class electrodes according to the threshold value after adjusted, and calculate can area at each
In signal number.
Fig. 5 shows the applied environment 500 of the detection system according to example embodiment of the present utility model.As shown in figure 5,
1 is linear array detector, and wherein linear array detector adopts detector electrodes structure of the present utility model.2 is detected object, and 3 is to pass
Band is sent, 4 is radioactive source.Detected object is scanned through region under the drive of conveyer belt, is irradiated.The a certain tangent plane of object
First pass around the scanning area of the A class electrodes of detector, master system through algorithm obtain the image of current tangent plane and
Identify the suspicious composition of current item.According to current suspicious composition, PC control Second processing module is adjusted for energy
One or more threshold values of Division, so that fine accurately division is carried out to the B class pixel energies area of detector.Subsequently with B classes electricity
Extremely corresponding detectable signal reaches host computer through first processing module and Second processing module, through data processing and analysis institute
Detectable signal is stated, the material composition of current detected object is accurately determined.Further, it is also possible to will detection corresponding with B class electrodes
Signal is applied to during image shows.
In sum, this utility model provides a kind of detector and the detection system in energy area is divided for intelligence, wherein
The detection system can overcome energy area to increase the superelevation requirement to system design, overcome detector pixel to damage to image and thing
The impact of matter identification, and the performance of detector can be efficiently utilized and the operational efficiency of system is improved, so as to improve figure
As display quality, the identification for being easy to observer to carry out detected object；The algorithm for being equally capable of bound substances identification makes it possible to
Improve the ability of Object Classification.
Although it should be understood that above description is as a example by being used for Object Classification by this utility model, but this utility model is not limited
In this, and this utility model is also applied in multi-angle, multiple light courcess, the structure of the radiant image of multi-detector.
Above scheme is only a specific implementation for illustrating this utility model design, and this utility model is not limited to above-mentioned
Implementation.Can omit or skip in above-mentioned implementation a part process, without deviating from it is of the present utility model spirit and
Scope.
Method above can be realized and record calculating by various computer installations with the program command form that can be held
In machine readable medium recording program performing.In this case, computer readable recording medium storing program for performing can include single program command, data text
Part, data structure or its combination.Meanwhile, the program command for recording in the recording medium can specially be designed or be configured to this reality
With new, or technical staff's known applications of computer software fields.Computer readable recording medium storing program for performing include such as hard disk,
The magnetic medium such as floppy disk or tape, such as optical medium such as compact disk read only memory (CD-ROM) or digital universal disc (DVD),
The magnet-optical medium of such as floptical disk and such as hardware unit such as the ROM of storage and configuration processor order, RAM, flash memory.This
Outward, program command includes the machine language code and computer of compiler formation by using the executable senior language of interpretive program
Speech.Hardware unit above can be configured to be operated as at least one software module to perform operation of the present utility model, and
And contrary operation is also the same.
Although illustrating and describing the operation of context of methods with particular order, but the operation of each method can be changed
Sequentially so that specific operation can be performed with reverse order or be allowed at least in part with other operations while to perform spy
It is fixed to operate.Additionally, this utility model is not limited to above-mentioned example embodiment, it can be without departing from spirit and scope of the present disclosure
Under the premise of, including one or more miscellaneous parts or operation, or omit one or more miscellaneous parts or operation.
It is preferable to carry out being illustrated this utility model already in connection with of the present utility model above, but those skilled in the art
Member it will be understood that, in the case of without departing from spirit and scope of the present utility model, various repairing can be carried out to this utility model
Change, replace and change.Therefore, this utility model should not be limited by above-described embodiment, and by claims and its should be waited
Valency thing is limiting.
Claims (7)
1. a kind of detector, wherein each pixel column of the detector includes an A classes electrode and multiple B classes electrodes,
Moving direction wherein along detected object is sequentially arranged the A classes electrode and the B classes electrode so that saturating from detected object
The ray penetrated is introduced into A class electrodes, subsequently enters B class electrodes.
2. detector according to claim 1, also including electrode or shield electrode is oriented to, is arranged between each electrode.
3. detector according to claim 1, wherein the A class pixel corresponding with the A classes electrode at least has 1 energy
Area.
4. detector according to claim 1, wherein each corresponding with the plurality of B classes electrode B classes pixel is at least
With 3 Ge Neng areas.
5. detector according to claim 4, wherein the energy Division of each B class pixel is identical.
6. detector according to claim 4, wherein the energy Division of each B class pixel is different.
7. a kind of for the intelligent detection system for dividing energy area, the detection system includes：
Detector, each pixel column of the detector include an A classes electrode and multiple B classes electrodes, and along detected object
Moving direction is sequentially arranged the A classes electrode and the B classes electrode so that be introduced into A classes electricity from the ray of detected object transmission
Pole, subsequently enters B class electrodes；
Signal processing apparatus, including：
First processing module, receives detectable signal from the detector；And
Second processing module, the signal number in each the energy area for receiving that first processing module is calculated from first processing module；With
And
Host computer, receives detectable signal corresponding with A class electrodes from the detector, and sends for adjusting to Second processing module
The instruction of one or more threshold values that whole first processing module intermediate energy region is divided.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106124539A (en) * | 2016-08-31 | 2016-11-16 | 同方威视技术股份有限公司 | Detector and divide for intelligence can the detection system in district and method |
| CN114114375A (en) * | 2021-11-22 | 2022-03-01 | 核工业西南物理研究院 | Plasma thermionic measurement system and measurement method |
-
2016
- 2016-08-31 CN CN201621032835.6U patent/CN206057219U/en active Active
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106124539A (en) * | 2016-08-31 | 2016-11-16 | 同方威视技术股份有限公司 | Detector and divide for intelligence can the detection system in district and method |
| CN106124539B (en) * | 2016-08-31 | 2023-05-12 | 同方威视技术股份有限公司 | Detector and detection system and method for intelligently dividing energy regions |
| CN114114375A (en) * | 2021-11-22 | 2022-03-01 | 核工业西南物理研究院 | Plasma thermionic measurement system and measurement method |
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