CN105193383A - Protocol generation system and method, protocol display system and image generation system - Google Patents

Protocol generation system and method, protocol display system and image generation system Download PDF

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CN105193383A
CN105193383A CN201510497737.3A CN201510497737A CN105193383A CN 105193383 A CN105193383 A CN 105193383A CN 201510497737 A CN201510497737 A CN 201510497737A CN 105193383 A CN105193383 A CN 105193383A
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legend
image
algorithm parameter
protocol
generation system
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CN105193383B (en
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王潇珂
邹子夏
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Shanghai United Imaging Healthcare Co Ltd
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Shanghai United Imaging Healthcare Co Ltd
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Abstract

The invention discloses a protocol generation system and method, a protocol display system and an image generation system. The protocol generation system comprises an input device, a storage device and a processor, wherein the input device is used for receiving legend selection information; the storage device is used for storing legend algorithm parameters; the image algorithm parameters are algorithm parameters of images generated according to scanning data; the legends and the image algorithm parameters have a mapping relation; the processor is used for generating the protocols of the medical images according to the image algorithm parameters mapped by the legends corresponding to the legend selection information. The technical scheme has the beneficial effects that doctors or technicians can more clearly and visually generate and create the protocols and seek the most suitable protocols; users can rapidly find out the protocols suitable for patients to be examined; the operation burdens of the users are reduced; the user experience is improved; the work efficiency is promoted.

Description

Protocol generation system and method, protocol display system, image generation system
Technical field
The present invention relates to medical imaging field, particularly protocol generation system and method, the protocol display system of medical image, the medical image generating system of medical image.
Background technology
When carrying out the shooting of medical image, medical image generating system can scan patient according to pre-set agreement, scanning obtains the scan-data of patient, carries out date processing afterwards according to scan-data, supplies doctor to carry out the medical image diagnosed to be formed.
Protocol package contains polytype parameter, and such as, for digital X-ray machine, its agreement includes: the relevant information of patient, the relevant parameter of high tension generator, the relevant parameter of shelf position, the relevant parameter of image algorithm.The relevant parameter of high tension generator, the relevant parameter of shelf position define related scans parameter when scanning patient, and the relevant parameter of image algorithm defines and scan-data is carried out to date processing, generates the related algorithm parameter of medical image.
Image algorithm parameter is on the basis scanning the scan-data obtained, and carries out the algorithm parameter of date processing according to the image quality requirements to diagnosis.Such as go out the specific biological tissue such as blood vessel, skeleton, soft tissue, osteoarthrosis or muscle in medical image saliency, or utilize some data processing method (such as image digitization subtracts shadow) to remove portion of tissue (such as removing skeleton) in image.Such as in the x-ray imaging of breast, because breast is only made up of soft tissue and body of gland, do not comprise skeleton, therefore corresponding breast imaging has a set of independent image algorithm parameter, improve contrast, the minimum resolution of soft tissue and body of gland, less focus can be observed on image.
Because the biological characteristic of different tissues is different, be difficult to there being good picture quality (picture contrast, spatial resolution, signal noise ratio (snr) of image) in a organized way according to same set of image algorithm parameter.When different to the focus at scanning position, a scanning position can corresponding many cover image algorithm parameters.Such as at the x-ray imaging carrying out chest, if what need to pay close attention to is the pulmonary of patient, then select the image algorithm parameter of corresponding pulmonary, final formed image highlights the anatomical structure of pulmonary, is convenient to doctor and checks the focus such as Lung neoplasm, emphysema.If what need to pay close attention to is the heart of patient, then select the image algorithm parameter of corresponding heart, final formed medical image better can highlight the anatomical structure of heart.
In existing medical image generating system, some situations are an agreement only corresponding a set of image algorithm parameters, the doctor of operation room or technician are when setting protocol parameter, need in the Text Entry of protocol editor, manually insert corresponding image algorithm parameter, to generate the final agreement being applicable to patient.When searching existing agreement in protocol editor, need by checking that agreement just can know image algorithm parameter corresponding to each agreement one by one, to carry out follow-up operation (as revised parameter or searching optimal agreement according to image algorithm parameter).Particularly when an agreement correspondence overlaps image algorithm parameter more, at this time need doctor or technician to complete more user operation, in use very inconvenient, efficiency is very low.
Summary of the invention
The problem to be solved in the present invention is to provide a kind of protocol generation system and method, protocol display system of efficient medical image, and medical image generating system, improve in the work efficiency of carrying out protocol-dependent generation establishment and search operation Shi doctor or technician, reduce operation burden, promote Consumer's Experience.
For solving the problem, the invention provides a kind of protocol generation system of medical image, comprising:
Input equipment, receives legend and selects information; Described legend selects information and legend correspondence, is the information inputted based on described legend; Storage device, store legend algorithm parameter, described image algorithm parameter is the algorithm parameter according to scan-data synthetic image, and described legend and described image algorithm parameter are mapping relations; Processor, according to the image algorithm parameter that described legend selects legend corresponding to information to map, generates the agreement of medical image.
Preferably, described image algorithm parameter comprises the algorithm parameter of particular organisms tissue in saliency maps picture.
Preferably, described image algorithm parameter comprises the algorithm parameter removing particular organisms tissue in image.
Preferably, described image algorithm parameter comprises the algorithm parameter of certain organs in saliency maps picture.
Preferably, described legend is geometric figure, and difform geometric figure represents different image algorithm parameters.
Preferably, described legend is geometric figure, and each legend adopts identical geometry but fills difference color, and different colours represents different image algorithm parameters.
Preferably, described agreement also comprises the image scanning parameter of medical image.
For solving the problem, present invention also offers a kind of medical image generating system, comprising:
Above-mentioned protocol generation system, described protocol generation system generates the agreement of configuration medical image scanning; Scanning means, carries out the scanning of medical image according to agreement; Described processor, based on scanning the scan-data obtained, according to the image algorithm parameter that generation protocol package contains, generates medical image.
Preferably, described medical image scanning means be digital X-ray imaging device, computerized tomography x-ray imaging device, MR imaging apparatus, positron emission tomography device or the multi-modality imaging device that combined by above multiple device.
For solving the problem, present invention also offers a kind of protocol display system of medical image, comprising:
Above-mentioned protocol generation system, generates the agreement of configuration medical image scanning; Described processor selects information to generate indication information according to legend; Described display device shows described agreement, receives and shows described indication information simultaneously.
Preferably, described indication information is the pattern comprising at least one color, and described often kind of Color pair should a kind of image algorithm parameter.
Preferably, described pattern is pie chart, and described pie chart is divided by equalization according to the number of color, and every equal portions show a kind of color.
For solving the problem, present invention also offers a kind of protocol generation method of medical image, comprising:
Receive legend and select information, described legend selects information and legend correspondence, and legend selects information to select based on described legend; Described image algorithm parameter is the algorithm parameter according to scan-data synthetic image, and described legend and described image algorithm parameter are mapping relations; The image algorithm parameter that the legend corresponding according to image selection information maps, generates the agreement of medical image.
Preferably, described image algorithm parameter comprises the algorithm parameter of particular organisms tissue in saliency maps picture.
Preferably, described image algorithm parameter comprises the algorithm parameter removing particular organisms tissue in image.
Preferably, described image algorithm parameter comprises the algorithm parameter of certain organs in saliency maps picture.
Preferably, described legend is geometric figure, and each legend adopts identical geometry but fills difference color, and different colours represents different image algorithm parameters.
Preferably, described legend is geometric figure, and each legend adopts identical geometry but fills difference color, and different colours represents different image algorithm parameters.
Compared with prior art, the present invention improves existing medical image protocol generation system etc., the generation carrying out agreement that doctor or technician can be more clear and intuitive is created, and carry out searching of most suitable agreement, make user that this patient applicable can be found fast to carry out the agreement checked, reduce user operation burden, improve Consumer's Experience, promote work efficiency.
Accompanying drawing explanation
Fig. 1 is the system block diagram of medical image generating system of the present invention;
Fig. 2 is the concrete implementing procedure figure of the protocol generation system of medical image of the present invention;
Fig. 3 is the consultative management interface schematic diagram of the protocol generation system of medical image of the present invention;
Fig. 4 is the legend visioning procedure figure of the protocol generation system of medical image of the present invention;
Fig. 5 is the schematic diagram of the protocol generation method of medical image of the present invention.
Detailed description of the invention
For enabling above-mentioned purpose of the present invention, feature and advantage more become apparent, and are described in detail the specific embodiment of the present invention below in conjunction with accompanying drawing.Set forth detail in the following description so that fully understand the present invention.But the present invention can be different from alternate manner described here to implement with multiple, those skilled in the art can when without prejudice to doing similar popularization when intension of the present invention.Therefore the present invention is not by the restriction of following public detailed description of the invention.
Fig. 1 is the system block diagram of medical image generating system of the present invention.See Fig. 1, medical image generating system 100 of the present invention comprises scanning means 101 and the protocol generation system 102 of medical image.
Medical image scanning means 101 can be that digital X-ray imaging device is (as console model digital X-ray imaging device, suspension digital X-ray imaging device, column digital X-ray imaging device, or digital galactophore x-ray imaging device), also can be computerized tomography x-ray imaging device (CT, ComputedTomography), can also be MRT device (MR, MagneticResonance), or positron emission tomography device (PET, PositronEmissionTomography), and the multi-modality imaging device to be combined by said apparatus is (as PET-CT, PET-MR).
Protocol generation system 102 belongs to user's control end of medical image generating system 100, normally desk computer, but also can be other control end form.It specifically comprises storage device 1021, processor 1022, display device 1023 and input equipment 1024.Storage device 1021 can be hard disk and/or the internal memory with certain storage capacity.Processor 1022 can adopt multi-core central processing unit.Display device 1023 can be LCDs.Input equipment 1024 can be mouse, keyboard, imaging control box or touch-screen input plate.
When carrying out the scanning of a medical image, normally first by radiologist or image technician according to the state of an illness of patient, determine the scanning position of patient, have the agreement of corresponding medical image for different scanning positions.When protocol package contains and carries out image scanning by medical image scanning means, the a series of sweep parameter of setting, such as in digital X-ray imaging device, the scanning position of patient, position, exposure mode, focus size, exposure parameter (magnitude of voltage of high tension generator, current value, time of exposure) etc. are set.Agreement further comprises after image scanning obtains scan-data, carries out date processing with the algorithm parameter of synthetic image, i.e. image algorithm parameter to scan-data.
Agreement has set before carrying out medical image scanning, starts image scanning afterwards and finally generate medical image.
The invention provides a kind of protocol generation system 102 of medical image, with reference to accompanying drawing 1, include:
Storage device 1021, storage figure is as algorithm parameter and legend, and described image algorithm parameter is the algorithm parameter according to scan-data synthetic image, and described legend and described image algorithm parameter are mapping relations.
Storage device 1021 stores image algorithm parameter and legend, wherein, image algorithm parameter is the algorithm parameter according to scan-data synthetic image, and it specifically can have various ways, as long as but when carrying out synthetic image based on scan-data, the setup parameter of the related algorithm of utilization.
Image algorithm parameter can be the algorithm parameter highlighting particular organisms tissue in image, as: at least one of angio algorithms parameter, osteoarthrosis algorithm parameter, muscle algorithm parameter, skeleton algorithm parameter or soft tissue algorithm parameter.There is a set of image algorithm parameter in the biological tissue of one type, also can have many cover image algorithm parameters.
Image algorithm parameter can also be remove the algorithm parameter of particular organisms tissue in image, such as, utilize image digitization to subtract shadow, remove tissues surrounding vascular, only obtains the algorithm parameter of blood-vessel image.Or in head imaging, remove the algorithm parameter of skeleton.
Image algorithm parameter can also be the algorithm parameter for a certain organ, the algorithm parameter of certain organs in saliency maps picture, such as, for the algorithm parameter of breast, pulmonary, the proper better picture quality of heart.
Image algorithm parameter can be set in advance by the production firm of medical image generating system in software, preserves in the storage device.Also can be after dispatching from the factory, be set in the protocol editor of software by the doctor of user or technician.In different agreements, corresponding identical image procossing mode (highlight the specific biological tissue in image, to remove in image certain organs in specific biological tissue or saliency maps picture) its image algorithm parameter is identical, the such as corresponding image algorithm parameter highlighting soft tissue, in agreement at brain and the agreement at abdominal part, its concrete algorithm parameter numerical value is identical.
Legend adopts the form of expression of image, such as, can be geometric figure: circle, rectangle, rhombus, triangle, trapezoidal or polygonal pattern, or point, lines etc.When legend employing geometric figure, point, lines, can also combine from different colors, thickness, different colours can be filled within geometric figure, also can be geometric frame line.
Except geometric figure, legend can also adopt irregular figure or other patterns.The algorithm parameter of such as corresponding skeleton can adopt the pattern of skeleton, and corresponding angio algorithms parameter can adopt the pattern of blood vessel.
Legend can have other multiple concrete image appearance forms, will not enumerate here, as long as can be distinguished between each legend.Legend and image algorithm parameter are mapping relations, the corresponding legend of a set of image algorithm parameter.
Processor 1022, reads described legend.
Display device 1023, receives and shows and read by described processor the described legend obtained.
Display device 1023, after the legend receiving processor reading, demonstrates legend at software interface, facilitates doctor or technician to carry out selecting the corresponding operating of legend based on legend.
Input equipment 1024, receives legend and selects information, and described legend selects information and described legend correspondence, is the information inputted based on described legend.
Legend selects information to be selected by doctor or technician, and concrete selection mode can be that doctor or technician click the legend demonstrated, and completes the selection of corresponding algorithm parameter.Also can be the legend that reference display device demonstrates, utilize input equipment to click corresponding button.
The image algorithm parameter that the legend that processor 1022 selects information to select according to described legend maps, generates the agreement of medical image.
Finally select information according to the legend of input, based on the image algorithm parameter that its corresponding legend maps, generate the agreement of medical image.
Fig. 2 is the flow chart that protocol generation system of the present invention is specifically implemented, and see Fig. 2, first carries out step S201 system and normally starts, and this procedures system can complete conventional software and hardware self-inspection.Perform step S202 afterwards and enter into consultative management interface.
As shown in Figure 3, it can be divided into multiple region at consultative management interface: the legend area 302 above the protocol groups region 301 in left side, right side, lower right-hand side are other feature operation regions 303.Protocol groups region 301 shows existing agreement, shows multiple agreement in figure: agreement 3011, agreement 3013, agreement 3015, and the concrete title of each agreement is replaced by " text " two words in the drawings.Legend area 302 shows multiple legend: legend 3021, legend 3022, legend 3023.Here schematically demonstrate legend 3021 for skeleton class algorithm, legend 3022 is muscle class algorithm, and legend 3023 is another muscle class algorithm.Further, each legend rectangular patterns of different Fill Color represents in figure 3, to distinguish.
When performing step S203 and creating a New Deal, click the button (not shown) created corresponding to New Deal.If the corresponding new agreement created, first performs step S204, judges whether there is legend corresponding to suitable image algorithm parameter in system.If the aforementioned legend be applicable to do not stored in system, then perform step S205, create image algorithm parameter.
If stored the legend that suitable image algorithm parameter is corresponding in system, then step S204 is judged as YES, perform step S206 and select legend, such as when needs protrude skeleton class biological tissue, when carrying out the algorithm parameter adding skeleton, be different from the setting that prior art manually can only carry out each parameter in input frame, in technical scheme of the present invention, directly can select the legend 3021 that skeleton class algorithm is corresponding in the legend area 302 of Fig. 3, such as click legend 3021, the interpolation of skeleton class algorithm parameter can be completed.
When this agreement only needs an image algorithm parameter, determining step S207 is judged as NO, then directly enter step S208, and this agreement has created.If this agreement needs corresponding multiple image algorithm parameter, being then judged as YES of determining step S207, proceeds the interpolation of image algorithm parameter, re-executes step S205, step S206.
For the visioning procedure of legend, with reference to figure 4.
First S401 system normally starts, and performs step S402 afterwards and enters configuration management interface, then performs step S403 and enter legend administration interface in configuration management interface.
Then perform step S404 and fill in legend information, concrete legend information comprises the title (such as skeleton class algorithm) of legend, and the image algorithm parameter that this legend is corresponding (such as skeleton class, the parameter that setting window width, window position, sharpening, denoising are correlated with).After setting parameter, then perform step S405, that clicks correspondence completes button, and this legend has created.
If desired continue innovation legend, then determining step S406 exports is yes, continues the associative operation performing step S404, step S405.
If it is no that step S406 exports, then completes all legend building works, carried out the registration work that step S407 completes legend.
The present invention, on the basis of medical image protocol generation system, additionally provides a kind of generation system of medical image, as shown in Figure 1, includes:
Above-mentioned protocol generation system 102, is generated the agreement of configuration medical image scanning by protocol generation system 102.
And scanning means 101, carries out the scanning of medical image according to the agreement generated,
Processor 1022 scans the data obtained based on scanning means 101, according to the image algorithm parameter that generation protocol package contains, generate medical image.
Protocol generation system 102 selects based on legend the image algorithm parameter that sets except comprising, and also itself contains sweep parameter.Scanning means 101 carries out the scanning of medical image according to sweep parameter.
Processor scans the scan-data obtained according to scanning means 101, the image algorithm parameter good according to protocol processes scan-data, generates the final doctor of confession and carries out diagnosing medical image used.Its detailed process belongs to and it be known to those skilled in the art that and no longer launch explanation here.
The present invention, on the basis of the protocol generation system of above-mentioned medical image, additionally provides a kind of protocol display system of medical image, comprising:
The protocol generation system 102 of above-mentioned medical image, generates the agreement of configuration medical image scanning.
In addition, with reference to accompanying drawing 1, processor 1022 selects information to generate indication information according to legend.
Display device 1023 display protocol, receives and shows indication information simultaneously.
Indication information is the information that this agreement of instruction has comprised algorithm parameter, specifically at the software interface place that display device 1023 demonstrates in reality.
With reference to consultative management surface chart 3, on the left of it, there is multiple agreement in protocol groups region 301: agreement 3011, agreement 3013, agreement 3015.Each agreement is all to having indication information: indication information 3012, indication information 3014, indication information 3016.
The indication information illustrated in Fig. 3 is the form of expression adopting pie chart, and pie chart contains at least one color, and often kind of color represents a kind of image algorithm parameter respectively.The indication information 3012 of agreement 3011 correspondence contains 3 kinds of colors, these 3 kinds of colors the are corresponding respectively legend 3021 of legend area 302, legend 3022, legend 3023.So indicate agreement 3011 to contain 3 kinds of image algorithm parameters.
And the indication information 3014 of agreement 3013 correspondence in protocol groups region 301 is also pie chart, contain 2 kinds of colors, these 2 kinds of colors are corresponding respectively legend 3021 and legend 3023, show that agreement 3013 contains this image algorithm parameter that legend is corresponding in 2.The indication information 3016 of agreement 3015 only has a kind of color, corresponding legend 3021, shows that agreement 3015 only contains this kind of image algorithm parameter of legend 3021 correspondence.
The concrete manifestation form of the indication information in Fig. 3 can be the pie chart that the multiple color identical with legend is combined, and it also can be not limited to pie chart, adopts other shape.Or other forms of expression, such as: the representation (not shown) that the initial point of independent multiple color is laterally arranged side by side can be adopted, color and the legend area of each initial point represent that the color of legend is identical, thus indicate the image algorithm parameter comprised.Indication information specifically can also have other the form of expression, if can and legend one_to_one corresponding, and can carry out distinguishing.
The present invention, on the basis of the protocol generation system of medical image, additionally provides a kind of protocol generation method of medical image, see Fig. 5, comprising:
Step S501, receives legend and selects information, and described legend selects information and legend correspondence, and legend selects information to select based on described legend.Described image algorithm parameter is the algorithm parameter according to scan-data synthetic image, and described legend and described image algorithm parameter are mapping relations.
Step S502, the image algorithm parameter that the legend corresponding according to image selection information maps, generates the agreement of medical image.
The one of protocol generation system of the present invention preferred embodiment in, image algorithm parameter comprises the algorithm parameter of particular organisms tissue in saliency maps picture.
The one of protocol generation system of the present invention preferred embodiment in, image algorithm parameter comprises the algorithm parameter removing particular organisms tissue in image.
The one of protocol generation system of the present invention preferred embodiment in, image algorithm parameter comprises the algorithm parameter of certain organs in saliency maps picture.
The one of protocol generation system of the present invention preferred embodiment in, described legend is geometric figure, and each legend adopts identical geometry but filled color different, and different colours represents different image algorithm parameters.
The one of protocol generation system of the present invention preferred embodiment in, described legend is geometric figure, and each legend adopts identical geometry but filled color different, and different colours represents different image algorithm parameters.
The detailed description of the invention of above technical scheme with reference to the detailed description of the invention of the protocol generation system of medical image of the present invention, can repeat here no longer one by one.
Compared with prior art, the present invention improves existing medical image protocol generation system etc., the generation carrying out agreement that doctor or technician can be more clear and intuitive is created, and carry out searching of most suitable agreement, make user that this patient applicable can be found fast to carry out the agreement checked, reduce user operation burden, improve Consumer's Experience, promote work efficiency.
Although the present invention with preferred embodiment openly as above; but it is not for limiting the present invention; any those skilled in the art without departing from the spirit and scope of the present invention; the Method and Technology content of above-mentioned announcement can be utilized to make possible variation and amendment to technical solution of the present invention; therefore; every content not departing from technical solution of the present invention; the any simple modification done above embodiment according to technical spirit of the present invention, equivalent variations and modification, all belong to the protection domain of technical solution of the present invention.

Claims (18)

1. a protocol generation system for medical image, is characterized in that, comprising:
Input equipment, receives legend and selects information; Described legend selects information and legend correspondence, is the information inputted based on described legend;
Storage device, store legend algorithm parameter, described image algorithm parameter is the algorithm parameter according to scan-data synthetic image, and described legend and described image algorithm parameter are mapping relations;
Processor, according to the image algorithm parameter that described legend selects legend corresponding to information to map, generates the agreement of medical image.
2. protocol generation system according to claim 1, is characterized in that, described image algorithm parameter comprises the algorithm parameter of particular organisms tissue in saliency maps picture.
3. protocol generation system according to claim 1, is characterized in that, described image algorithm parameter comprises the algorithm parameter removing particular organisms tissue in image.
4. protocol generation system according to claim 1, is characterized in that, described image algorithm parameter comprises the algorithm parameter of certain organs in saliency maps picture.
5. protocol generation system according to claim 1, is characterized in that, described legend is geometric figure, and difform geometric figure represents different image algorithm parameters.
6. protocol generation system according to claim 1, is characterized in that, described legend is geometric figure, and each legend adopts identical geometry but fills difference color, and different colours represents different image algorithm parameters.
7. protocol generation system according to claim 1, described agreement also comprises the image scanning parameter of medical image.
8. a medical image generating system, is characterized in that, comprising:
Protocol generation system described in any one of claim 1 to 7, described protocol generation system generates the agreement of configuration medical image scanning;
Scanning means, carries out the scanning of medical image according to agreement;
Described processor, based on scanning the scan-data obtained, according to the image algorithm parameter that generation protocol package contains, generates medical image.
9. medical image generating system according to claim 8, it is characterized in that, described medical image scanning means is digital X-ray imaging device, computerized tomography x-ray imaging device, MR imaging apparatus, positron emission tomography device or the multi-modality imaging device that combined by above multiple device.
10. a protocol display system for medical image, is characterized in that, comprising:
Protocol generation system described in any one of claim 1 to 7, generates the agreement of configuration medical image scanning;
Described processor selects information to generate indication information according to legend;
Described display device shows described agreement, receives and shows described indication information simultaneously.
11. protocol display systems according to claim 10, is characterized in that, described indication information is the pattern comprising at least one color, and described often kind of Color pair should a kind of image algorithm parameter.
12. protocol display systems according to claim 11, is characterized in that, described pattern is pie chart, and described pie chart is divided by equalization according to the number of color, and every equal portions show a kind of color.
The protocol generation method of 13. 1 kinds of medical images, is characterized in that, comprising:
Receive legend and select information, described legend selects information and legend correspondence, and legend selects information to select based on described legend; Described image algorithm parameter is the algorithm parameter according to scan-data synthetic image, and described legend and described image algorithm parameter are mapping relations;
The image algorithm parameter that the legend corresponding according to image selection information maps, generates the agreement of medical image.
14. protocol generation methods according to claim 13, it is characterized in that, described image algorithm parameter comprises the algorithm parameter of particular organisms tissue in saliency maps picture.
15. protocol generation methods according to claim 13, is characterized in that, described image algorithm parameter comprises the algorithm parameter removing particular organisms tissue in image.
16. protocol generation methods according to claim 13, it is characterized in that, described image algorithm parameter comprises the algorithm parameter of certain organs in saliency maps picture.
17. protocol generation methods according to claim 13, is characterized in that, described legend is geometric figure, and each legend adopts identical geometry but fills difference color, and different colours represents different image algorithm parameters.
18. protocol generation methods according to claim 13, is characterized in that, described legend is geometric figure, and each legend adopts identical geometry but fills difference color, and different colours represents different image algorithm parameters.
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