CN102645441B - Ray energy control device and method in X-ray imaging system - Google Patents
Ray energy control device and method in X-ray imaging system Download PDFInfo
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- CN102645441B CN102645441B CN2012101042676A CN201210104267A CN102645441B CN 102645441 B CN102645441 B CN 102645441B CN 2012101042676 A CN2012101042676 A CN 2012101042676A CN 201210104267 A CN201210104267 A CN 201210104267A CN 102645441 B CN102645441 B CN 102645441B
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Abstract
The invention discloses a ray energy control device in an X-ray imaging system. The ray energy control device comprises a model establishing module and a predicating control module, wherein the model establishing module is used for establishing an energy satisfiability model that represents the corresponding relation between the ray energy and the effective thickness of a detection object; and the predicating control module is used for carrying out the following processing when X-ray imaging needs to be carried out on any detection object Y: establishing an effective thickness predicating model for the detection object Y according to the energy satisfiability model; predicating the effective thickness variation of the detection object Y according to the effective thickness predicating model; determining the corresponding ray energy according to the energy satisfiability model after receiving an effective thickness predicating value Z; and regulating the ray energy issued from an X-ray generator and collecting the ray image according to the determining result. The invention also discloses a ray energy control method in an X-ray imaging system. The scheme provided by the invention can be applied to the detection objects with any structure, and is simple and convenient to implement.
Description
Technical field
The present invention relates to the x-ray imaging technology, particularly a kind of ray energy control device and the method in x-ray imaging system.
Background technology
The x-ray imaging technology is a kind of imaging technique that is combined into by radiology and computer science.It is intended under the prerequisite of damage check object inner structure not, by certain radiographic source, as x-ray source, obtain projection information from outside with checkout equipment, and use certain mathematical model and reestablishment imaging technology, use two dimension or the 3-D view of computing machine generation detected object inside, thus the feature of reappearing detected object inside.
Along with the development of x-ray imaging technology, digital imaging technology has replaced traditional Film technique gradually, has greatly improved ray detection efficiency and quality etc.
But, the integral dose imaging pattern that adopts than Film technique, digital imaging technology is due to the restriction that is subject to ray conversion efficiency and photoelectric transformation efficiency, it is the restriction of imaging device dynamic scope,, can there be certain problem in detected object for net thickness differs greatly when processing.Here the net thickness of mentioning differs greatly and is usually expressed as: length breadth ratio is large, complex structure, material multicomponent etc.
Specifically, x ray generator, as the key components of x-ray imaging system, can provide imaging media for system, after the object decay, with the gray scale form, characterizes in ray image after testing.As a rule, the ray energy that x ray generator sends is fixed, like this, just can't realize the complete reproduction of the structural information of the detected object that differs greatly for net thickness, overexposure and the phenomenon such as under-exposure easily occur, the projection information disappearance is serious, thereby affects subsequent treatment.
For the problems referred to above, a kind of change energy x-ray imaging mode has been proposed in prior art, namely by artificial mode of constantly regulating ray energy, get respectively the satisfactory ray image of quality corresponding to different net thickness difference of detected object, follow-up, carry out image by a series of ray images to getting and process, the dynamic range of expanded images, realize the ray detection of the detected object that differs greatly for net thickness.
But aforesaid way is mainly by means of manually-operated, and is intelligent strong not, implements simple and convenient not.
Summary of the invention
In view of this, the invention provides ray energy control device and method in a kind of x-ray imaging system, can be applicable to the detected object of arbitrary structures, and implement simple and convenient.
For achieving the above object, technical scheme of the present invention is achieved in that
Ray energy control device in a kind of x-ray imaging system comprises:
Model building module, for the energy well-posedness model of setting up the corresponding relation between the net thickness that characterizes ray energy and detected object;
The PREDICTIVE CONTROL module is used for carrying out respectively following processing when needs carry out x-ray imaging to arbitrary detected object Y:
Be that described detected object Y sets up the net thickness forecast model according to described energy well-posedness model;
According to described net thickness forecast model, the net thickness variation of described detected object Y is predicted, and after often obtaining a net thickness predicted value Z, determine ray energy corresponding to described net thickness predicted value Z according to described energy well-posedness model respectively, and according to determining that ray energy that result is sent x ray generator regulates and carry out the ray image collection.
Ray energy control method in a kind of x-ray imaging system comprises:
Set up the energy well-posedness model of the corresponding relation between the net thickness that characterizes ray energy and detected object;
When needs carry out x-ray imaging to arbitrary detected object Y, carry out respectively following processing:
Be that described detected object Y sets up the net thickness forecast model according to described energy well-posedness model;
According to described net thickness forecast model, the net thickness variation of described detected object Y is predicted, and after often obtaining a net thickness predicted value Z, determine ray energy corresponding to described net thickness predicted value Z according to described energy well-posedness model respectively, and according to determining that ray energy that result is sent x ray generator regulates and carry out the ray image collection.
As seen, adopt scheme of the present invention, can regulate adaptively the ray energy that x ray generator sends according to the variation of the net thickness of detected object, thereby reach coupling preferably between making both, and then improve image quality; Scheme of the present invention, applicable to the detected object of arbitrary structures, has applicability widely, and implements simple and conveniently, is convenient to universal and promotes.
Description of drawings
Fig. 1 is the composition structural representation of the ray energy control device embodiment in x-ray imaging system of the present invention.
Fig. 2 is the alternation waveform schematic diagram of tube voltage of the present invention.
Fig. 3 is the process flow diagram of the ray energy control method embodiment in x-ray imaging system of the present invention.
Embodiment
For problems of the prior art, the ray energy control program in the x-ray imaging system in the present invention after a kind of improvement of proposition.
For make technical scheme of the present invention clearer, understand, referring to the accompanying drawing embodiment that develops simultaneously, scheme of the present invention is described in further detail.
Fig. 1 is the composition structural representation of the ray energy control device embodiment in x-ray imaging system of the present invention.As shown in Figure 1, comprising:
Model building module, for the energy well-posedness model of setting up the corresponding relation between the net thickness that characterizes ray energy and detected object;
The PREDICTIVE CONTROL module is used for carrying out respectively following processing when needs carry out x-ray imaging to arbitrary detected object Y:
Be that detected object Y sets up the net thickness forecast model according to energy well-posedness model;
According to the net thickness forecast model, the net thickness variation of detected object Y is predicted, and after often obtaining a net thickness predicted value Z, determine ray energy corresponding to net thickness predicted value Z according to energy well-posedness model respectively, and according to determining that ray energy that result is sent x ray generator regulates and carry out the ray image collection.
Character according to X ray, the penetration capacity of X ray depends on the tube voltage size of x ray generator, tube voltage is larger, the penetration capacity of X ray is stronger, correspondingly, the net thickness that passes is also larger, and the ray energy that x ray generator is sent of mentioning in scheme of the present invention is regulated the tube voltage that namely refers to x ray generator and regulated.
The concrete function of above-mentioned two modules is described below respectively.
1) model building module
As shown in Figure 1, can specifically comprise again in model building module:
Ray prescan unit, be used for at least two detected objects as sample, is defined as that respectively the quality of its corresponding ray image is met the requirements (quality is better, reaches requirement), needs the tube voltage of the x ray generator that uses; Wherein, each detected object as sample all has uniform net thickness, and every two detected objects as sample all have different net thickness;
Model is set up unit, is used for setting up energy well-posedness model according to each tube voltage as the net thickness of the detected object of sample and correspondence.
In actual applications, the detected object as sample can be even steel plate.
Modeling process can illustrate as follows:
Suppose to co-exist in the even steel plate of 20 different net thickness, the order ascending according to net thickness is numbered respectively: even steel plate 1, even steel plate 2, even steel plate 3, the like;
At first, for even steel plate 1, be defined as making the quality of its corresponding ray image to meet the requirements, need the tube voltage that uses, in actual applications, adjustable pipe voltage constantly, and carry out respectively the ray image collection under different tube voltages, corresponding tube voltage is when the quality of the ray image that collects meets the requirements needs the tube voltage that uses;
Afterwards,, for even steel plate 2, be defined as making the quality of its corresponding ray image to meet the requirements, need the tube voltage that uses; The like;
Whether the quality of how to confirm ray image meets the requirements for prior art, in addition,, for improving picture quality, is convenient to subsequent treatment,, for the ray image that collects, can at first to it, carry out monochrome and recover, and how to carry out monochrome and recovers to be similarly prior art;
After the tube voltage of determining all 20 even steel plates difference correspondences, can, according to the method for statistical modeling, generate the sample data with energy variation, and, by parameter estimation and error analysis etc., set up the linear regression model (LRM) of energy well-posedness.
2) PREDICTIVE CONTROL module
As shown in Figure 1, can specifically comprise again in the PREDICTIVE CONTROL module:
Predicting unit, be used for when needs carry out x-ray imaging to detected object Y, according to the mode of straight line alternation since 0 tube voltage that increases gradually x ray generator;
For detected object Y, at least obtain the ray image that three width quality meet the requirements and correspond respectively to different tube voltages, according to energy well-posedness model, determine respectively net thickness corresponding to every width ray image that obtains, set up the net thickness forecast model according to the net thickness of determining;
According to the net thickness forecast model, the net thickness variation of detected object Y is predicted, and, after often obtaining a net thickness predicted value Z, notified respectively control module to carry out self function;
Control module, be used for determining tube voltage corresponding to net thickness predicted value Z according to energy well-posedness model, and according to determining that tube voltage that result is sent x ray generator regulates and carry out the ray image collection.
In actual applications, when needs carry out x-ray imaging to detected object Y, can be according to the mode of straight line alternation since 0 tube voltage that increases gradually x ray generator, namely the increase in each unit interval is all identical.
And, can be in the process that tube voltage increases gradually, for detected object Y, namely carry out a ray image collection at interval of scheduled duration, and after often collecting a width ray image, determine respectively whether its quality meets the requirements, if so, by certain mode, this ray image is carried out mark, when the quantity of the ray image of institute's mark reaches three at least, can, according to energy well-posedness model, determine respectively the net thickness corresponding to every width ray image of institute's mark., because tube voltage corresponding to every width ray image of institute's mark is all as can be known,, so in conjunction with energy well-posedness model, can obtain corresponding net thickness.
Illustrate:
Suppose that the quality of the ray image that collects meets the requirements when the value of tube voltage is respectively 10 kilovolts, 12 kilovolts, 15 kilovolts, so can, according to energy well-posedness model, obtain respectively this three net thickness that tube voltage is corresponding.
After obtaining at least three net thickness, can set up the net thickness forecast model based on these at least three net thickness, how this net thickness forecast model, based on nonlinear Unscented kalman prediction mode, is established as prior art usually.
Afterwards, can predict the net thickness variation of detected object Y according to the net thickness forecast model of setting up, and after often obtaining a net thickness predicted value Z, determine its corresponding tube voltage according to energy well-posedness model respectively, and according to determining that tube voltage that result is sent x ray generator regulates and carry out the ray image collection.
Specifically, after control module is determined tube voltage corresponding to net thickness predicted value Z according to energy well-posedness model, can accelerate the alternation speed of tube voltage, and in the scope that is in [A-a, A+a] when the value of tube voltage the time, at interval of scheduled duration, carry out a ray image collection, wherein, A represents tube voltage corresponding to the net thickness of determining predicted value Z, and a represents predetermined threshold, and the concrete value of a can be decided according to the actual requirements.After tube voltage surpasses A+a, can slow down the alternation speed of tube voltage, and from the value when tube voltage, be in [A-a, A+a] scope in the time select in each width ray image of collecting one top-quality, as ray image corresponding to net thickness predicted value Z, and carry out the prediction that net thickness next time changes.
In actual applications, there is certain tolerance in tube voltage, in certain tolerance scope, image quality is basically identical, in scheme of the present invention, while being in the scope of [A-a, A+a] when the value of tube voltage, carry out a ray image collection at interval of scheduled duration, and select top-quality as ray image corresponding to net thickness predicted value Z from each width ray image that collects.
The alternation speed of the top quickening tube voltage of mentioning, how many concrete quickenings can be decided according to the actual requirements, as a rule, for the tube voltage regulated quantity in the unit interval, a upper limit can be set, the alternation speed after quickening needs and can the tube voltage regulated quantity in guarantor unit's time be no more than the described upper limit.Equally, above mention slow down tube voltage alternation speed, what specifically slow down also can be decided according to the actual requirements, such as the alternation speed that can revert to before accelerating.
In addition, if the non-conformity of quality of the ray image of selecting closes requirement, control module also can be from tube voltage surpasses A+a, carry out a ray image collection at interval of scheduled duration, and, after often collecting a width ray image, determine respectively whether its quality meets the requirements, if, with this ray image as ray image corresponding to net thickness predicted value Z, namely result is before finely tuned, and after carry out the prediction that net thickness next time changes.
Have again, control module also can be determined net thickness corresponding to ray image corresponding to net thickness predicted value Z according to energy well-posedness model, and send to predicting unit, correspondingly, predicting unit is upgraded the net thickness forecast model according to this net thickness of determining.Tube voltage corresponding to ray image corresponding due to net thickness predicted value Z is as can be known, so according to energy well-posedness model, can obtain net thickness corresponding to ray image corresponding to net thickness predicted value Z, and can upgrade the net thickness forecast model according to it, such as, be originally the net thickness forecast model of setting up based on three net thickness, can re-establish the net thickness forecast model according to four net thickness now, to improve precision of prediction and the forecasting efficiency of net thickness forecast model.
Illustrate:
Suppose that net thickness predicted value Z is 5 millimeters, so, can be in [35 when tube voltage, 45] in the time of in the scope of (supposing that unit is kilovolt), collect 10 width ray images, and therefrom select one top-quality as ray image corresponding to net thickness predicted value Z, suppose that tube voltage corresponding to the ray image of selecting is 38 kilovolts;
Perhaps, if the non-conformity of quality of the ray image of selecting closes requirement, can be from tube voltage greater than 45 kilovolts, gather a ray image at interval of scheduled duration, suppose when tube voltage is 47 kilovolts, the quality of the ray image that collects meets the requirements, with this ray image as ray image corresponding to net thickness predicted value Z;
Afterwards, the tube voltage that ray image that can be corresponding according to net thickness predicted value Z is corresponding (38 kilovolts or 47 kilovolts) and energy well-posedness model, obtain net thickness corresponding to ray image corresponding to net thickness predicted value Z.
Can find out, after adopting processing mode of the present invention, tube voltage will present the straight line ascendant trend of variable slope, as shown in Figure 2, Fig. 2 is the alternation waveform schematic diagram of tube voltage of the present invention, in whole process, tube voltage is increasing always, and just alternation speed is sometimes fast and sometimes slow.After obtaining tube voltage corresponding to net thickness predicted value Z, why to accelerate the alternation speed of tube voltage, be for make tube voltage as early as possible alternation to required value, and the alternation speed that why will slow down afterwards tube voltage, too fast for fear of alternation, corresponding tube voltage while missing tube voltage corresponding to net thickness predicted value next time and fine setting.
After the maximum net thickness that reaches detected object Y, can finish processing of the present invention, follow-up, can be according to ray image corresponding to each net thickness predicted value difference that collects,, by technology such as image co-registration and image reconstructions, obtain final required ray image.Whether how to confirm reaches the maximum net thickness of detected object Y and how to obtain final required ray image is prior art.
So far, namely completed introduction about the inventive method embodiment.
Based on above-mentioned introduction, Fig. 3 is the process flow diagram of the ray energy control method embodiment in x-ray imaging system of the present invention.As shown in Figure 3, comprising:
Step 31: the energy well-posedness model of setting up the corresponding relation between the net thickness that characterizes ray energy and detected object.
The specific implementation of this step can be:
For at least two detected objects as sample, be defined as respectively making the quality of its corresponding ray image to meet the requirements, need the tube voltage of the x ray generator that uses; Wherein, each detected object as sample all has uniform net thickness, and every two detected objects as sample all have different net thickness;
, as the net thickness of the detected object of sample and corresponding tube voltage, set up energy well-posedness model according to each.
Step 32: when needs carry out x-ray imaging to arbitrary detected object Y, carry out respectively following processing: according to energy well-posedness model, be that detected object Y sets up the net thickness forecast model; According to the net thickness forecast model, the net thickness variation of detected object Y is predicted, and after often obtaining a net thickness predicted value Z, determine its corresponding ray energy according to energy well-posedness model respectively, and according to determining that ray energy that result is sent x ray generator regulates and carry out the ray image collection.
Wherein, described is that the specific implementation that detected object Y sets up the net thickness forecast model can be according to energy well-posedness model:
When needs carry out x-ray imaging to detected object Y, according to the mode of straight line alternation since 0 tube voltage that increases gradually x ray generator;
For detected object Y, at least obtain the ray image that three width quality meet the requirements and correspond respectively to different tube voltages, according to energy well-posedness model, determine respectively net thickness corresponding to every width ray image that obtains, set up the net thickness forecast model according to the net thickness of determining.
Described according to determining that ray energy that result is sent x ray generator is regulated and the specific implementation of carrying out the ray image collection can be:
After according to energy well-posedness model, determining tube voltage corresponding to net thickness predicted value Z, accelerate the alternation speed of tube voltage, and in the value when tube voltage, be in [A-a, A+a] scope in the time, carry out a ray image collection at interval of scheduled duration, wherein, A represents tube voltage corresponding to the net thickness of determining predicted value Z, and a represents predetermined threshold;
After tube voltage surpasses A+a, slow down the alternation speed of tube voltage, and from the value when tube voltage, be in [A-a, A+a] scope in the time select in each width ray image of collecting one top-quality, as ray image corresponding to net thickness predicted value Z, and carry out the prediction that net thickness next time changes.
In addition, if the non-conformity of quality of the ray image of selecting closes requirement, from surpass A+a when tube voltage, carry out a ray image collection at interval of scheduled duration, and, after often collecting a width ray image, determine respectively whether its quality meets the requirements, if, with this ray image as ray image corresponding to net thickness predicted value Z, and carry out the prediction that net thickness next time changes.
Have again, also can determine net thickness corresponding to ray image corresponding to net thickness predicted value Z according to energy well-posedness model, and according to the net thickness of determining, upgrade the net thickness forecast model.
The specific works flow process of embodiment of the method shown in Figure 3 please refer to the respective description in aforementioned means embodiment, repeats no more herein.
In a word, adopt scheme of the present invention, can regulate adaptively the ray energy that x ray generator sends according to the variation of the net thickness of detected object, thereby reach coupling preferably between making both, and then improve image quality; Scheme of the present invention, applicable to the detected object of arbitrary structures, has applicability widely, and has stronger intelligently, implements simple and conveniently, is convenient to universal and promotes; In addition, tube voltage adopts the mode of variable slope straight line alternation to control, and than the frequent regulative mode of existing tube voltage, the labile factor that can avoid this oscillation effect of jeep to bring on the one hand, can improve image acquisition efficiency again on the other hand effectively.
The foregoing is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of making, be equal to replacement, improvement etc., within all should being included in the scope of protection of the invention.
Claims (8)
1. the ray energy control device in an x-ray imaging system, is characterized in that, comprising:
Model building module, for the energy well-posedness model of setting up the corresponding relation between the net thickness that characterizes ray energy and detected object;
The PREDICTIVE CONTROL module is used for carrying out respectively following processing when needs carry out x-ray imaging to arbitrary detected object Y:
Be that described detected object Y sets up the net thickness forecast model according to described energy well-posedness model;
According to described net thickness forecast model, the net thickness variation of described detected object Y is predicted, and after often obtaining a net thickness predicted value Z, determine ray energy corresponding to described net thickness predicted value Z according to described energy well-posedness model respectively, and according to determining that ray energy that result is sent x ray generator regulates and carry out the ray image collection;
Wherein, described PREDICTIVE CONTROL module comprises:
Predicting unit, be used for when needs carry out x-ray imaging to described detected object Y, according to the mode of straight line alternation since 0 tube voltage that increases gradually described x ray generator;
For described detected object Y, at least obtain the ray image that three width quality meet the requirements and correspond respectively to different tube voltages, according to described energy well-posedness model, determine respectively net thickness corresponding to every width ray image that obtains, according to the net thickness of determining, set up the net thickness forecast model;
According to described net thickness forecast model, the net thickness variation of described detected object Y is predicted, and, after often obtaining a net thickness predicted value Z, notified respectively control module to carry out self function;
Described control module, be used for determining tube voltage corresponding to described net thickness predicted value Z according to described energy well-posedness model, and according to determining that tube voltage that result is sent x ray generator regulates and carry out the ray image collection;
After described control module is determined tube voltage corresponding to described net thickness predicted value Z according to described energy well-posedness model, accelerate the alternation speed of tube voltage, and in the value when tube voltage, be in [A-a, A+a] scope in the time, carry out a ray image collection at interval of scheduled duration, wherein, A represents tube voltage corresponding to the described net thickness predicted value Z that determines, and a represents predetermined threshold;
After tube voltage surpasses A+a, slow down the alternation speed of tube voltage, and from the value when tube voltage, be in [A-a, A+a] scope in the time select in each width ray image of collecting one top-quality, as ray image corresponding to described net thickness predicted value Z, and carry out the prediction that net thickness next time changes.
2. device according to claim 1, is characterized in that, described model building module comprises:
Ray prescan unit, be used for at least two detected objects as sample, is defined as respectively making the quality of its corresponding ray image to meet the requirements, and needs the tube voltage of the x ray generator that uses; Wherein, each detected object as sample all has uniform net thickness, and every two detected objects as sample all have different net thickness;
Model is set up unit, is used for setting up described energy well-posedness model according to each tube voltage as the net thickness of the detected object of sample and correspondence.
3. device according to claim 1, is characterized in that,
Described control module is further used for, if the non-conformity of quality of the ray image of selecting closes requirement, from surpass A+a when tube voltage, carry out a ray image collection at interval of scheduled duration, and, after often collecting a width ray image, determine respectively whether its quality meets the requirements, if, with this ray image as ray image corresponding to described net thickness predicted value Z, and carry out the prediction that net thickness next time changes.
4. according to claim 1 or 3 described devices, is characterized in that,
Described control module is further used for, and determines net thickness corresponding to ray image corresponding to described net thickness predicted value Z according to described energy well-posedness model, and sends to described predicting unit;
Described predicting unit is upgraded described net thickness forecast model according to the net thickness that receives.
5. the ray energy control method in an x-ray imaging system, is characterized in that, comprising:
Set up the energy well-posedness model of the corresponding relation between the net thickness that characterizes ray energy and detected object;
When needs carry out x-ray imaging to arbitrary detected object Y, carry out respectively following processing:
Be that described detected object Y sets up the net thickness forecast model according to described energy well-posedness model;
According to described net thickness forecast model, the net thickness variation of described detected object Y is predicted, and after often obtaining a net thickness predicted value Z, determine ray energy corresponding to described net thickness predicted value Z according to described energy well-posedness model respectively, and according to determining that ray energy that result is sent x ray generator regulates and carry out the ray image collection;
Wherein, described is that described detected object Y sets up the net thickness forecast model and comprises according to described energy well-posedness model:
When needs carry out x-ray imaging to described detected object Y, according to the mode of straight line alternation since 0 tube voltage that increases gradually described x ray generator;
For described detected object Y, at least obtain the ray image that three width quality meet the requirements and correspond respectively to different tube voltages, according to described energy well-posedness model, determine respectively net thickness corresponding to every width ray image that obtains, according to the net thickness of determining, set up the net thickness forecast model;
The described ray energy that x ray generator is sent according to definite result is regulated and is carried out the ray image collection and comprises:
After according to described energy well-posedness model, determining tube voltage corresponding to described net thickness predicted value Z, accelerate the alternation speed of tube voltage, and in the value when tube voltage, be in [A-a, A+a] scope in the time, carry out a ray image collection at interval of scheduled duration, wherein, A represents tube voltage corresponding to the described net thickness predicted value Z that determines, and a represents predetermined threshold;
After tube voltage surpasses A+a, slow down the alternation speed of tube voltage, and from the value when tube voltage, be in [A-a, A+a] scope in the time select in each width ray image of collecting one top-quality, as ray image corresponding to described net thickness predicted value Z, and carry out the prediction that net thickness next time changes.
6. method according to claim 5, is characterized in that, the described energy well-posedness model of setting up comprises:
For at least two detected objects as sample, be defined as respectively making the quality of its corresponding ray image to meet the requirements, need the tube voltage of the x ray generator that uses; Wherein, each detected object as sample all has uniform net thickness, and every two detected objects as sample all have different net thickness;
, as the net thickness of the detected object of sample and corresponding tube voltage, set up described energy well-posedness model according to each.
7. method according to claim 5, is characterized in that, the method further comprises:
If the non-conformity of quality of the ray image of selecting closes requirement, from surpass A+a when tube voltage, carry out a ray image collection at interval of scheduled duration, and after often collecting a width ray image, determine respectively whether its quality meets the requirements, if so, with this ray image as ray image corresponding to described net thickness predicted value Z, and carry out the prediction that net thickness next time changes.
8. according to claim 5 or 7 described methods, is characterized in that, the method further comprises:
Determine net thickness corresponding to ray image corresponding to described net thickness predicted value Z according to described energy well-posedness model, and according to the net thickness of determining, upgrade described net thickness forecast model.
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