CN105054954A - Method and system for acquiring and processing multi-energy X-ray fluoroscopic images in real time - Google Patents
Method and system for acquiring and processing multi-energy X-ray fluoroscopic images in real time Download PDFInfo
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Abstract
The invention discloses a method and a system for acquiring and processing multi-energy X-ray fluoroscopic images in real time. The method is characterized in that a light sensor and X-rays with different energies are synchronously repeatedly exposed in an image output frame when the multi-energy X-ray fluoroscopic images are about to be acquired in real time, so that the X-ray fluoroscopic images of targets can be acquired from the X-rays with at least three energy bands in real time, corresponding high-frequency edge information can be extracted from X-ray images with the different energies in real time, different colors can be given to the high-frequency edge information, pieces of information in the multiple images can be superimposed by the aid of the method for processing the images, and information of soft tissues and hard tissues can be sufficiently revealed in each image in a balance manner. The method and the system have the advantages that the multiple images can be assuredly acquired from the same positions of the targets, and accordingly the image information superimposing accuracy can be guaranteed.
Description
Technical field
The present invention relates to the processing technology field of X-ray, particularly relate to a kind of acquisition of real-time multipotency radioscopy image and image processing method and system thereof.
Background technology
At present, general x-ray system use by have single can band X-ray through target detection to attenuation characteristic show image.In this Single energy X ray absorptionmetry system, because the soft tissue of target object (human body or animal) and sclerous tissues have different attenuation characteristics, when getting the information of soft tissue, sclerous tissues can not get penetrating fully of X-ray, and the information of sclerous tissues just can not fully obtain; Otherwise, when getting the information of sclerous tissues, soft tissue is just fully penetrated by X-ray, and soft information of knitting just can not fully obtain, high-quality soft tissue and sclerous tissues's radioscopic image cannot be obtained in a word simultaneously, thus make the identification ability of different densities material poor.
Summary of the invention
For the weak point existed in above-mentioned technology, the invention provides a kind of acquisition of real-time multipotency radioscopy image and image processing method and system thereof, the radioscopy image of target can be obtained in real time from the X-ray with at least three energy bands, corresponding information is extracted from the radioscopic image of different-energy, and give different colors to these information, by corresponding image processing method the information superposition in multiple image, the information of soft tissue and sclerous tissues can be made simultaneously fully balancedly to represent in piece image, thus provide better Object Classification ability.
For achieving the above object, the invention provides a kind of acquisition and image processing method of real-time multipotency radioscopy image, when obtaining real-time multiple energies radioscopy image, photosensitive sensor multiexposure, multiple exposure synchronous with the X-ray of different-energy is made in an image output frame, thus the radioscopy image of target is obtained in real time in real time from the X-ray with at least three energy bands, and complete in real time and extract corresponding high frequency edge information from the radioscopic image of different-energy, and it is color to give different colors to high frequency edge information, by image processing method by the information superposition in multiple image, the information of soft tissue and sclerous tissues can be made fully balancedly to represent in piece image simultaneously.
Wherein, described acquisition radioscopy image comprises acquisition X-ray real-time continuous fluoroscopy images and obtains the static fluoroscopy images of X-ray.
Wherein, when obtaining X-ray real-time continuous fluoroscopy images, Perceived control optical sensor makes it expose frame per second to reach 90 frames/second, form an image output frame, reach the requirement of real time of image acquisition by the exposure frames of three photosensitive sensors; In an image output frame, three triplet energy exposures are carried out to perspective targets, synchronously obtains the low-yield exposure figure corresponding with triplet energy, middle energy exposure figure, high-energy exposure figure tri-width image from photosensitive sensor; The high frequency edge information in low-yield exposure figure and high-energy exposure figure is extracted respectively with image processing method, and give different colors to high frequency edge information, weighted superposition obtains final pseudo-colours output image to middle energy exposure figure, and the information of soft tissue and sclerous tissues is fully balancedly represented in piece image simultaneously.
Wherein, when obtaining X-ray static state fluoroscopy images, forming an image output frame by the exposure frames of five photosensitive sensors, reaching the requirement of real time of image acquisition, in an image output frame, five times five heavy energy exposure are carried out to perspective targets, synchronously obtain the extremely low-yield exposure figure corresponding with five Beijing South Maxpower Technology Co. Ltd from photosensitive sensor, low-yield exposure figure, middle energy exposure figure, high-energy exposure figure, very high energies exposure figure five width image, extremely low-yield exposure figure is extracted respectively with image processing method, low-yield exposure figure, high-energy exposure figure, high frequency edge information in very high energies exposure figure, and it is color to give different colors to high frequency edge information, weighted superposition obtains final pseudo-colours output image to middle energy exposure figure, the information of soft tissue and sclerous tissues is fully balancedly represented in piece image simultaneously.
Wherein, give different colors to the X-ray information of different-energy, and can show or a certain or several color in masked images.
For achieving the above object, the present invention also provides a kind of acquisition and image processing system of real-time multipotency radioscopy image, comprises Logic control module, X-ray high pressure generator controller, X-ray detector, multiple photosensitive sensor and computer picture and stores and display module; Described X-ray high pressure generator controller is under the control of Logic control module, after sending X-ray by x-ray source, this X-ray is through perspective targets, through perspective targets decay X-ray on X-ray detector, be converted to visible ray monochrome greyscale image, photosensitive sensor synchronous acquisition image, complete corresponding image procossing after send image to computer picture store and display module; Described Logic control module comprises synchronous exposure control unit, picture synchronization collection unit, graphics processing unit and high tension generator synchronous control unit; Described high tension generator synchronous control unit controls X-ray high pressure generator controller and synchronously exposes with corresponding X-ray energy and photosensitive sensor, and photosensitive sensor exposes by the control of synchronous exposure control unit, the synchronism output image corresponding with corresponding energy, in picture synchronization collection unit, is exported to computer picture image after graphics processing unit process image and is stored and display module.
Wherein, when obtaining continuous fluoroscopy images, an image output frame is made up of the exposure frames of three photosensitive sensors, and in an image output frame, photosensitive sensor exposes three times, is respectively low-yield exposure, middle energy exposure, high-energy exposure.
Wherein, when obtaining static fluoroscopy images, an image output frame is made up of the exposure frames of five photosensitive sensors, and in an image output frame, photosensitive sensor exposes five times, is respectively extremely low-yield exposure, low-yield exposure, middle energy exposure, high-energy exposure and very high energies exposure.
Wherein, during described continuous fluoroscopy images process, picture synchronization collection unit gathers low-yield exposure figure, middle energy exposure figure and high-energy exposure figure according to the exposure of photosensitive sensor; Low energy image pretreatment subelement carries out conventional image procossing to low-yield exposure figure, comprises image noise reduction process and greyscale transformation; Middle energy Image semantic classification subelement centering energy exposure figure carries out conventional image procossing, comprises image noise reduction process and greyscale transformation; High-energy Image semantic classification subelement carries out conventional image procossing to high-energy exposure figure, comprises image noise reduction process and greyscale transformation; Low energy image high-frequency information extraction unit uses Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that low energy image pretreatment subelement is crossed, and gives green color; High-energy image high-frequency information extraction unit uses suitable Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that high-energy Image semantic classification subelement is crossed, and gives red color; Middle energy image information gives gray color; Low energy image high-frequency information is multiplied by weighted factor; Middle energy image information is multiplied by weighter factor β; High-energy image high-frequency information is multiplied by weighter factor γ; Weighted factor, β, γ are real number; Image co-registration unit obtains pseudo-colours X-ray information image to low-yield, the middle energy diagram picture after weighting and high-energy image by the image pixel superposition of same position, completes picture coding.
Wherein, during described static fluoroscopy images process, picture synchronization collection unit is according to the exposure sync collection of photosensitive sensor extremely low-yield exposure figure, low-yield exposure figure, middle energy exposure figure, high-energy exposure figure and very high energies exposure figure; Low energy image pretreatment subelement in pole carries out conventional image procossing to extremely low-yield exposure figure, comprises image noise reduction process and greyscale transformation; Low energy image pretreatment subelement carries out conventional image procossing to low-yield exposure figure, comprises image noise reduction process and greyscale transformation; Middle energy Image semantic classification subelement centering energy exposure figure carries out conventional image procossing, comprises image noise reduction process and greyscale transformation; High-energy Image semantic classification subelement carries out conventional image procossing to high-energy exposure figure, comprises image noise reduction process and greyscale transformation; Very high energies Image semantic classification subelement carries out conventional image procossing to very high energies exposure figure, comprises image noise reduction process and greyscale transformation; Pole low energy image high-frequency information extraction unit uses suitable Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that low energy image pretreatment subelement is crossed, and gives green color; Low energy image high-frequency information extraction unit uses suitable Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that the pre-cell processing of low energy image is crossed, and gives green color; High-energy image high-frequency information extraction unit uses suitable Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that high-energy Image semantic classification subelement is crossed, and gives blue color; Very high energies image high-frequency information extraction unit uses suitable Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that very high energies Image semantic classification subelement is crossed, and gives red color; Middle energy image information gives gray color; Pole low energy image high-frequency information is multiplied by weighter factor δ; Low energy image high-frequency information is multiplied by weighted factor; Middle energy image information is multiplied by weighter factor β; High-energy image high-frequency information is multiplied by weighter factor γ; High-energy image high-frequency information is multiplied by weighter factor ε, and weighted factor, β, γ, δ, ε are real number; Image co-registration unit obtains pseudo-colours X-ray information image to low-yield after weighting, low-yield, middle energy, high-energy and very high energies image by the image pixel superposition of same position, completes picture coding.
Compared with prior art, the acquisition of real-time multipotency radioscopy image provided by the invention and image processing method and system thereof, its beneficial effect is: this method can obtain the radioscopy image of target in real time from the X-ray with at least three energy bands, corresponding information is extracted from the radioscopic image of different-energy, and it is color to give different colors to these information, by corresponding image processing method the information superposition in multiple image, the information of soft tissue and sclerous tissues can be made fully balancedly to represent in piece image simultaneously, thus provide better Object Classification ability.And final image is colored, different colors represents the X-ray information of different-energy, can show or shield a certain or several color easily, namely can show or shield the X-ray information of a certain or several different-energy; In addition, because target object (human body or animal) is light exercise, needs obtain the multi-energy X-ray image of target fast in real time, thus ensure the same area of multiple image from target of acquisition, the accuracy of guarantee image information superposition.
Accompanying drawing explanation
Fig. 1 is the real-time acquisition of multipotency radioscopy image of the present invention and the system block diagram of image procossing;
Fig. 2 is when obtaining continuous fluoroscopy images in the present invention, the timing diagram of the exposure frames of image output frame and photosensitive sensor;
Fig. 3 is when obtaining static fluoroscopy images in the present invention, the timing diagram of the exposure frames of image output frame and photosensitive sensor;
Fig. 4 is the flow chart of continuous fluoroscopy images process in the present invention;
Fig. 5 is the flow chart of static fluoroscopy images process in the present invention.
Main element symbol description is as follows:
1, X-ray high pressure generator controller 2, Logic control module
3, X-ray detector 4, photosensitive sensor
5, computer picture stores and display module 6, x-ray source
7, perspective targets 8, low-yield exposure figure
9, middle energy exposure Figure 10, high-energy exposure figure
11, extremely low-yield exposure Figure 12, very high energies exposure figure
21, synchronous exposure control unit 22, picture synchronization collection unit
23, graphics processing unit 24, high tension generator synchronous control unit
231, low energy image pretreatment subelement 232, middle energy Image semantic classification subelement
233, high-energy Image semantic classification subelement 234, pole low energy image pretreatment subelement
235, very high energies Image semantic classification subelement 236, image co-registration unit.
Detailed description of the invention
In order to more clearly state the present invention, below in conjunction with accompanying drawing, the present invention is further described.
The acquisition of real-time multipotency radioscopy image of the present invention and image processing method, when obtaining real-time multiple energies radioscopy image, photosensitive sensor multiexposure, multiple exposure synchronous with the X-ray of different-energy is made in an image output frame, thus the radioscopy image of target is obtained in real time in real time from the X-ray with at least three energy bands, and complete in real time and extract corresponding high frequency edge information from the radioscopic image of different-energy, and it is color to give different colors to high frequency edge information, by image processing method by the information superposition in multiple image, the information of soft tissue and sclerous tissues can be made fully balancedly to represent in piece image simultaneously.
Compared to prior art, the acquisition of real-time multipotency radioscopy image provided by the invention and image processing method, this method can obtain the radioscopy image of target in real time from the X-ray with at least three energy bands, corresponding information is extracted from the radioscopic image of different-energy, and give different colors to these information, by corresponding image processing method the information superposition in multiple image, the information of soft tissue and sclerous tissues can be made simultaneously fully balancedly to represent in piece image, thus provide better Object Classification ability.And final image is colored, different colors represents the X-ray information of different-energy, can show or shield a certain or several color easily, namely can show or shield the X-ray information of a certain or several different-energy; In addition, because target object (human body or animal) is light exercise, needs obtain the multi-energy X-ray image of target fast in real time, thus ensure the same area of multiple image from target of acquisition, the accuracy of guarantee image information superposition.
In the present embodiment, obtain radioscopy image to comprise acquisition X-ray real-time continuous fluoroscopy images and obtain the static fluoroscopy images of X-ray.When obtaining X-ray real-time continuous fluoroscopy images, Perceived control optical sensor makes it expose frame per second to reach 90 frames/second, form an image output frame by the exposure frames of three photosensitive sensors, namely the frame per second of image output frame is 30 frames/second, reaches the requirement of real time of image acquisition; In an image output frame, three triplet energy exposures are carried out to perspective targets, synchronously obtains the low-yield exposure figure corresponding with triplet energy, middle energy exposure figure, high-energy exposure figure tri-width image from photosensitive sensor; The high frequency edge information in low-yield exposure figure and high-energy exposure figure is extracted respectively with image processing method, and give different colors to high frequency edge information, weighted superposition obtains final pseudo-colours output image to middle energy exposure figure, and the information of soft tissue and sclerous tissues is fully balancedly represented in piece image simultaneously.When obtaining X-ray static state fluoroscopy images, high-tension current due to X-ray exposure is 100 to 800 times when having an X-rayed continuously, improve exposure frame per second to the 150 frame/second of photosensitive sensor, form an image output frame by the exposure frames of five photosensitive sensors, reach the requirement of real time of image acquisition, in an image output frame, five times five heavy energy exposure are carried out to perspective targets, synchronously obtain the extremely low-yield exposure figure corresponding with five Beijing South Maxpower Technology Co. Ltd from photosensitive sensor, low-yield exposure figure, middle energy exposure figure, high-energy exposure figure, very high energies exposure figure five width image, extremely low-yield exposure figure is extracted respectively with image processing method, low-yield exposure figure, high-energy exposure figure, high frequency edge information in very high energies exposure figure, and it is color to give different colors to high frequency edge information, weighted superposition obtains final pseudo-colours output image to middle energy exposure figure, the information of soft tissue and sclerous tissues is fully balancedly represented in piece image simultaneously.
Give different colors in the present invention the X-ray information of different-energy, and can show or a certain or several color in masked images, namely can show or shield the X-ray information of a certain or several different-energy.
Refer to Fig. 1, the present invention also provides a kind of acquisition and image processing system of real-time multipotency radioscopy image, comprises Logic control module 2, X-ray high pressure generator controller 1, X-ray detector 3, multiple photosensitive sensor 4 and computer picture and stores and display module 5; X-ray high pressure generator controller 1 is under the control of Logic control module 2, after sending X-ray by x-ray source 6, this X-ray is through perspective targets 7, through perspective targets 7 decay X-ray on X-ray detector 3, be converted to visible ray monochrome greyscale image, photosensitive sensor 4 synchronous acquisition image, complete corresponding image procossing after send image to computer picture store and display module 5; Logic control module 2 comprises synchronous exposure control unit 21, picture synchronization collection unit 22, graphics processing unit 23 and high tension generator synchronous control unit 24; High tension generator synchronous control unit 24 controls X-ray high pressure generator controller 1 and synchronously exposes with corresponding X-ray energy and photosensitive sensor 4, and photosensitive sensor 4 exposes by the control of synchronous exposure control unit 21, the synchronism output image corresponding with corresponding energy, in picture synchronization collection unit 22, is exported to computer picture image after graphics processing unit 23 processes image and is stored and display module 5.Logic control module 2 can realize in large-scale FPGA, and FPGA is field programmable gate array (FieldProgrammableGateArray).
Please consult Fig. 2 further, when obtaining continuous fluoroscopy images, an image output frame is made up of the exposure frames of three photosensitive sensors, and in an image output frame, photosensitive sensor exposes three times, is respectively low-yield exposure, middle energy exposure, high-energy exposure.Refer to Fig. 3, when obtaining static fluoroscopy images, an image output frame is made up of the exposure frames of five photosensitive sensors, and in an image output frame, photosensitive sensor exposes five times, is respectively extremely low-yield exposure, low-yield exposure, middle energy exposure, high-energy exposure and very high energies exposure.
Refer to Fig. 4, during continuous fluoroscopy images process, picture synchronization collection list 22 gathers low-yield exposure Fig. 8, middle energy exposure Fig. 9 and high-energy according to the exposure of photosensitive sensor 5 and exposes Figure 10; Low energy image pretreatment subelement 231 carries out conventional image procossing to low-yield exposure Fig. 8, comprises image noise reduction process and greyscale transformation etc.; Middle energy Image semantic classification subelement 232 centering energy exposure Fig. 9 carries out conventional image procossing, comprises image noise reduction process and greyscale transformation etc.; High-energy Image semantic classification subelement 233 pairs of high-energy expose Figure 10 and carry out conventional image procossing, comprise image noise reduction process and greyscale transformation etc.; Low energy image high-frequency information extraction unit uses Gauss-Laplace scheduling algorithm to carry out the extraction of image high-frequency information to the image that low energy image pretreatment subelement is crossed, and gives green color (green 0-green 255); High-energy image high-frequency information extraction unit uses suitable Gauss-Laplace scheduling algorithm to carry out the extraction of image high-frequency information to the image that high-energy Image semantic classification subelement is crossed, and gives red color (red 0-red 255); Middle energy image information gives gray color (grey 0-ash 255), i.e. gray-scale map; Low energy image high-frequency information is multiplied by weighted factor; Middle energy image information is multiplied by weighter factor β; High-energy image high-frequency information is multiplied by weighter factor γ; Weighted factor, β, γ are real number; Low-yield, middle energy diagram picture after the 236 pairs of weightings of image co-registration unit and high-energy image obtain pseudo-colours X-ray information image by the image pixel superposition of same position, complete picture coding.
Please consult Fig. 5 further, be the process of spot film or digital angiography DSA fluoroscopy images during static fluoroscopy images process, picture synchronization collection unit 22 according to the extremely low-yield exposure Figure 11 of the exposure sync collection of photosensitive sensor 4, low-yield exposure Fig. 8, middle energy exposure Fig. 9, high-energy exposes Figure 10 and very high energies exposes Figure 12; Pole low energy image pretreatment subelement 234 carries out conventional image procossing to extremely low-yield exposure Figure 11, comprises image noise reduction process and greyscale transformation etc.; Low energy image pretreatment subelement 231 carries out conventional image procossing to low-yield exposure figure, comprises image noise reduction process and greyscale transformation etc.; Middle energy Image semantic classification subelement 232 centering energy exposure figure carries out conventional image procossing, comprises image noise reduction process and greyscale transformation; High-energy Image semantic classification subelement carries out conventional image procossing to high-energy exposure figure, comprises image noise reduction process and greyscale transformation; Very high energies Image semantic classification subelement 235 couples of very high energies exposure figure carry out conventional image procossing, comprise image noise reduction process and greyscale transformation etc.; Pole low energy image high-frequency information extraction unit uses suitable Gauss-Laplace scheduling algorithm to carry out the extraction of image high-frequency information to the image that low energy image pretreatment subelement is crossed, and gives green color (green 0-green 255); Low energy image high-frequency information extraction unit uses suitable Gauss-Laplace scheduling algorithm to carry out the extraction of image high-frequency information to the image that the pre-cell processing of low energy image is crossed, and gives green color; High-energy image high-frequency information extraction unit uses suitable Gauss-Laplace scheduling algorithm to carry out the extraction of image high-frequency information to the image that high-energy Image semantic classification subelement is crossed, and gives blue color (blue 0-indigo plant 255); Very high energies image high-frequency information extraction unit uses suitable Gauss-Laplace scheduling algorithm to carry out the extraction of image high-frequency information to the image that very high energies Image semantic classification subelement is crossed, and gives red color (red 0-red 255); Middle energy image information gives gray color gray color (grey 00-ash 255), and gray-scale map; Pole low energy image high-frequency information is multiplied by weighter factor δ; Low energy image high-frequency information is multiplied by weighted factor; Middle energy image information is multiplied by weighter factor β; High-energy image high-frequency information is multiplied by weighter factor γ; High-energy image high-frequency information is multiplied by weighter factor ε, and weighted factor, β, γ, δ, ε are real number; After the 236 pairs of weightings of image co-registration unit, low-yield, low-yield, middle energy, high-energy and very high energies image obtain pseudo-colours X-ray information image by the image pixel superposition of same position, complete picture coding.
Compared to the situation of prior art, the acquisition of real-time multipotency radioscopy image provided by the invention and image processing system, native system can obtain the radioscopy image of target in real time from the X-ray with at least three energy bands, corresponding information is extracted from the radioscopic image of different-energy, and give different colors to these information, by corresponding image processing method the information superposition in multiple image, the information of soft tissue and sclerous tissues can be made simultaneously fully balancedly to represent in piece image, thus provide better Object Classification ability.And final image is colored, different colors represents the X-ray information of different-energy, can show or shield a certain or several color easily, namely can show or shield the X-ray information of a certain or several different-energy; In addition, because target object (human body or animal) is light exercise, needs obtain the multi-energy X-ray image of target fast in real time, thus ensure the same area of multiple image from target of acquisition, the accuracy of guarantee image information superposition
Be only several specific embodiment of the present invention above, but the present invention is not limited thereto, the changes that any person skilled in the art can think of all should fall into protection scope of the present invention.
Claims (10)
1. the acquisition of a real-time multipotency radioscopy image and image processing method, it is characterized in that, when obtaining real-time multiple energies radioscopy image, photosensitive sensor multiexposure, multiple exposure synchronous with the X-ray of different-energy is made in an image output frame, thus the radioscopy image of target is obtained in real time in real time from the X-ray with at least three energy bands, and complete in real time and extract corresponding high frequency edge information from the radioscopic image of different-energy, and it is color to give different colors to high frequency edge information, by image processing method by the information superposition in multiple image, the information of soft tissue and sclerous tissues can be made fully balancedly to represent in piece image simultaneously.
2. the acquisition of real-time multipotency radioscopy image according to claim 1 and image processing method, described acquisition radioscopy image comprises and obtains X-ray real-time continuous fluoroscopy images and obtain the static fluoroscopy images of X-ray.
3. the acquisition of real-time multipotency radioscopy image according to claim 2 and image processing method, when obtaining X-ray real-time continuous fluoroscopy images, Perceived control optical sensor makes it expose frame per second to reach 90 frames/second, form an image output frame by the exposure frames of three photosensitive sensors, reach the requirement of real time of image acquisition; In an image output frame, three triplet energy exposures are carried out to perspective targets, synchronously obtains the low-yield exposure figure corresponding with triplet energy, middle energy exposure figure, high-energy exposure figure tri-width image from photosensitive sensor; The high frequency edge information in low-yield exposure figure and high-energy exposure figure is extracted respectively with image processing method, and give different colors to high frequency edge information, weighted superposition obtains final pseudo-colours output image to middle energy exposure figure, and the information of soft tissue and sclerous tissues is fully balancedly represented in piece image simultaneously.
4. the acquisition of real-time multipotency radioscopy image according to claim 2 and image processing method, when obtaining the static fluoroscopy images of X-ray, forming an image output frame by the exposure frames of five photosensitive sensors, reaching the requirement of real time of image acquisition, in an image output frame, five times five heavy energy exposure are carried out to perspective targets, synchronously obtain the extremely low-yield exposure figure corresponding with five Beijing South Maxpower Technology Co. Ltd from photosensitive sensor, low-yield exposure figure, middle energy exposure figure, high-energy exposure figure, very high energies exposure figure five width image, extremely low-yield exposure figure is extracted respectively with image processing method, low-yield exposure figure, high-energy exposure figure, high frequency edge information in very high energies exposure figure, and it is color to give different colors to high frequency edge information, weighted superposition obtains final pseudo-colours output image to middle energy exposure figure, the information of soft tissue and sclerous tissues is fully balancedly represented in piece image simultaneously.
5. the acquisition of real-time multipotency radioscopy image according to claim 1 and image processing method, give different colors to the X-ray information of different-energy, and can show or a certain or several color in masked images.
6. the acquisition of real-time multipotency radioscopy image and an image processing system, comprises Logic control module, X-ray high pressure generator controller, X-ray detector, multiple photosensitive sensor and computer picture and stores and display module; Described X-ray high pressure generator controller is under the control of Logic control module, after sending X-ray by x-ray source, this X-ray is through perspective targets, through perspective targets decay X-ray on X-ray detector, be converted to visible ray monochrome greyscale image, photosensitive sensor synchronous acquisition image, complete corresponding image procossing after send image to computer picture store and display module; Described Logic control module comprises synchronous exposure control unit, picture synchronization collection unit, graphics processing unit and high tension generator synchronous control unit; Described high tension generator synchronous control unit controls X-ray high pressure generator controller and synchronously exposes with corresponding X-ray energy and photosensitive sensor, and photosensitive sensor exposes by the control of synchronous exposure control unit, the synchronism output image corresponding with corresponding energy, in picture synchronization collection unit, is exported to computer picture image after graphics processing unit process image and is stored and display module.
7. the acquisition of real-time multipotency radioscopy image according to claim 6 and image processing system, when obtaining continuous fluoroscopy images, an image output frame is made up of the exposure frames of three photosensitive sensors, in an image output frame, photosensitive sensor exposes three times, is respectively low-yield exposure, middle energy exposure, high-energy exposure.
8. the acquisition of real-time multipotency radioscopy image according to claim 6 and image processing system, when obtaining static fluoroscopy images, an image output frame is made up of the exposure frames of five photosensitive sensors, in an image output frame, photosensitive sensor exposes five times, is respectively extremely low-yield exposure, low-yield exposure, middle energy exposure, high-energy exposure and very high energies exposure.
9. the acquisition of real-time multipotency radioscopy image according to claim 7 and image processing system, during described continuous fluoroscopy images process, picture synchronization collection unit gathers low-yield exposure figure, middle energy exposure figure and high-energy exposure figure according to the exposure of photosensitive sensor; Low energy image pretreatment subelement carries out conventional image procossing to low-yield exposure figure, comprises image noise reduction process and greyscale transformation; Middle energy Image semantic classification subelement centering energy exposure figure carries out conventional image procossing, comprises image noise reduction process and greyscale transformation; High-energy Image semantic classification subelement carries out conventional image procossing to high-energy exposure figure, comprises image noise reduction process and greyscale transformation; Low energy image high-frequency information extraction unit uses Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that low energy image pretreatment subelement is crossed, and gives green color; High-energy image high-frequency information extraction unit uses suitable Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that high-energy Image semantic classification subelement is crossed, and gives red color; Middle energy image information gives gray color; Low energy image high-frequency information is multiplied by weighted factor; Middle energy image information is multiplied by weighter factor β; High-energy image high-frequency information is multiplied by weighter factor γ; Weighted factor, β, γ are real number; Image co-registration unit obtains pseudo-colours X-ray information image to low-yield, the middle energy diagram picture after weighting and high-energy image by the image pixel superposition of same position, completes picture coding.
10. the acquisition of real-time multipotency radioscopy image according to claim 8 and image processing system, during described static fluoroscopy images process, picture synchronization collection unit is according to the exposure sync collection of photosensitive sensor extremely low-yield exposure figure, low-yield exposure figure, middle energy exposure figure, high-energy exposure figure and very high energies exposure figure; Low energy image pretreatment subelement in pole carries out conventional image procossing to extremely low-yield exposure figure, comprises image noise reduction process and greyscale transformation; Low energy image pretreatment subelement carries out conventional image procossing to low-yield exposure figure, comprises image noise reduction process and greyscale transformation; Middle energy Image semantic classification subelement centering energy exposure figure carries out conventional image procossing, comprises image noise reduction process and greyscale transformation; High-energy Image semantic classification subelement carries out conventional image procossing to high-energy exposure figure, comprises image noise reduction process and greyscale transformation; Very high energies Image semantic classification subelement carries out conventional image procossing to very high energies exposure figure, comprises image noise reduction process and greyscale transformation; Pole low energy image high-frequency information extraction unit uses suitable Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that low energy image pretreatment subelement is crossed, and gives green color; Low energy image high-frequency information extraction unit uses suitable Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that the pre-cell processing of low energy image is crossed, and gives green color; High-energy image high-frequency information extraction unit uses suitable Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that high-energy Image semantic classification subelement is crossed, and gives blue color; Very high energies image high-frequency information extraction unit uses suitable Gauss-Laplace algorithm to carry out the extraction of image high-frequency information to the image that very high energies Image semantic classification subelement is crossed, and gives red color; Middle energy image information gives gray color; Pole low energy image high-frequency information is multiplied by weighter factor δ; Low energy image high-frequency information is multiplied by weighted factor; Middle energy image information is multiplied by weighter factor β; High-energy image high-frequency information is multiplied by weighter factor γ; High-energy image high-frequency information is multiplied by weighter factor ε, and weighted factor, β, γ, δ, ε are real number; Image co-registration unit obtains pseudo-colours X-ray information image to low-yield after weighting, low-yield, middle energy, high-energy and very high energies image by the image pixel superposition of same position, completes picture coding.
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