CN104997525B - A kind of apparatus and method of digital radiation image documentation equipment critical component type selecting - Google Patents
A kind of apparatus and method of digital radiation image documentation equipment critical component type selecting Download PDFInfo
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Abstract
The present invention relates to a kind of apparatus and method of digital radiation image documentation equipment critical component type selecting.Special prosthetic designs are assessed including a kind of；A kind of automatic testing method for coordinating prosthese, it comprises the following steps：1. design is a kind of to assess special prosthese；2. pair prosthese is carried out after repeatedly shooting, image sequence to be assessed is obtained；3. assessed using the automatic detection algorithm of prosthese is coordinated；4. obtain every evaluation index.The invention provides a set of method and apparatus that critical component type selecting is carried out available for x-ray image documentation equipment production firm, pass through the prosthese and automatic detection algorithm for being exclusively used in assessing, the evaluation index report of each selecting type scheme is obtained, and supports to contrast the assessment result of each selecting type scheme.Equipment production firm is helped scientifically to assess selecting type scheme, so as to obtain optimal critical component selecting type scheme.
Description
Technical field
Present invention relates particularly to a kind of apparatus and method of digital radiation image documentation equipment critical component type selecting.It is of the invention main
For digital X-ray image documentation equipment critical component type selecting provide scientifically and repeatably, be available for the apparatus and method that compare, use
The method can make the guiding opinion of selection acquisition science of the digital X-ray image documentation equipment manufacturer to its critical component.
Background technology
Current most of digital X-ray image documentation equipment manufacturer selects using the mode of production of integrated assembling
With the part for coming from different manufacturers, by being assembled into the brand machine of oneself after integration testing.Therefore, the selection of critical component
The quality for the image that digital X-ray image documentation equipment is collected will be directly influenced.And each manufacturer relies on respective image at present
Post-processing algorithm, the difference of acquisition system is partly masked, this also causes the type selecting of critical component to be many times ignored.
With the development of digital X-ray image documentation equipment, the concern in society to radiological dose increasingly increases, and that is advocated is " low
The requirement of dosage, high-quality ", only it has been difficult to meet to improve the mode of picture quality by post processing of image.From collecting original
The quality of image is improved on the source of beginning data turns into important demand.The critical component of digital X-ray image documentation equipment, mainly includes
X-ray bulb, high pressure generator, flat panel detector etc., it will directly determine the quality of raw image data.Therefore, digital X-ray shadow
As equipment critical component type selecting method whether science, whether have repeatability, whether can quantify, so as to pass through contrast
Become urgent problem to be solved to assess influence of the different selecting type schemes to picture quality.
Most producers lack the type selecting evaluation scheme of science at present, often simply complete the compatibility survey of critical component
Examination, and do not assess influence of the different critical components to picture quality has much actually, this causes the key often selected
Part is unsatisfactory.For example, some manufacturers are pursued cheap simply in type selecting, and introduce the low crucial portion of performance
Part, and original image quality is significantly glided；And some manufacturers pursue high price configuration in type selecting, actually to original
The raising of picture quality is simultaneously little.This to want to select a set of cost-effective critical component to become highly difficult, and even if there is skill
Art personnel are made that good selecting type scheme by experience, but due to lacking the quantitative evaluation of science, and it is no repeatable, one
When denier needs the core component more renewed, in the case of guidance of lacking experience, type selecting will become very difficult again.
The content of the invention
The present invention is by designing a kind of algorithm for assessing special prosthese and the automatic detection that matches, there is provided Yi Zhongyong
In the scheme of x-ray image documentation equipment critical component type selecting, and the method is fabricated to apparatus for evaluating and used for manufacturer technical staff.Adopt
With this programme, manufacturer can be easy to assess disturbance degree of the changed critical component to final image quality, and to difference
Scheme carry out contrast demonstration, so as to obtain the selecting type scheme of high performance-price ratio.
The key point of the present invention includes：
It is a kind of to assess special prosthetic designs；A kind of automatic testing method for coordinating prosthese；
It comprises the following steps：
1. design is a kind of to assess special prosthese；
2. pair prosthese is carried out after repeatedly shooting, image sequence to be assessed is obtained；
3. assessed using the automatic detection algorithm of prosthese is coordinated；
4. obtain every evaluation index.
Based on the above method, the invention provides a kind of apparatus for evaluating for x-ray critical component type selecting, including：
Assess special prosthese module：The special prosthese of index Design according to needed for assessment；
Automatic detection algorithm module：Automatic detection is carried out by the image sequence that shooting is repeated to assessing prosthese, extracts institute
The evaluation index needed；
Quantitative evaluation reporting modules：Evaluation index report is exported, the quantization for selecting type scheme is evaluated and tested；
Assessment result contrast module：The assessment report of different selecting type schemes is contrasted, so as to obtain preferable scheme；
To keeping miscellaneous part constant, the scheme for only changing a critical component carries out assessment contrast, more suitably crucial so as to select
Part.
Specifically, the invention provides a kind of device of digital radiation image documentation equipment critical component type selecting, described device bag
Include following 6 evaluation means：
No. 1 part：PMMA material prostheses；
No. 2 parts：Resolution ratio is 3LP/mm, 3.5LP/mm, 3.7LP/mm line to measurement module；
No. 3 parts：There is void region at aluminium flake, its center；
No. 4 parts：There is void region at aluminium flake, its center；
No. 5 parts：Aluminium flake；
No. 6 parts：Lead matter cross star telltale mark；
Wherein, No. 2 parts are embedded on the center and four angles of No. 1 part respectively, and line is pressed respectively to measurement module
It is horizontal and vertical to be put；No. 3 parts and No. 4 parts are embedded on the center and four angles of No. 1 part respectively；No. 5 parts
It is embedded on the center and four angles of No. 1 part；No. 6 parts are embedded in the specified location at four angles of No. 1 part.
Further, the device of digital radiation image documentation equipment critical component type selecting as described above, the chi of 6 parts
It is very little as follows：
No. 1 part：20cm * 20cm * 10cm PMMA material prostheses；
No. 2 parts：Resolution ratio is 3LP/mm, 3.5LP/mm, 3.7LP/mm line to measurement module, module size 10mm
* 10mm；
No. 3 parts：There is 4mm * 4mm * 0.2mm vacancy section at 10mm * 10mm * 0.5mm aluminium flake, its center
Domain；
No. 4 parts：There is 4mm * 4mm * 0.2mm void region at 10mm * 10mm * 2mm aluminium flake, its center；
No. 5 parts：4mm * 4mm * 0.5mm aluminium flake；
No. 6 parts：5mm * 5mm lead matter cross star telltale mark.
Further, the device of digital radiation image documentation equipment critical component type selecting as described above, methods described include with
Lower step：
（1）Described device is carried out after repeatedly shooting, obtains image sequence to be assessed；
（2）Automatic detection is carried out to the image sequence to be assessed, extracts required evaluation index；
（3）Evaluation index report is exported, the quantization for selecting type scheme is evaluated and tested；
（4）The assessment report of different selecting type schemes is contrasted, so as to obtain preferable scheme；Or keep miscellaneous part
Constant, the scheme for only changing a critical component carries out assessment contrast, so as to select more suitably critical component.
Further, the present invention also provides a kind of digital radiation image documentation equipment critical component using device as described above
The method of type selecting, the step（1）Comprise the following steps：Described device is positioned at flat panel detector center, and will edge
One side embedded with evaluation means is close to flat panel detector, carries out multi collect to it using acquisition system to be assessed, is treated
The image sequence of assessment.
Further, the method for digital radiation image documentation equipment critical component type selecting as described above, the collection is using system
One exposure dose configuration.
Further, the method for digital radiation image documentation equipment critical component type selecting as described above, the step（2）Including
Following steps：
（a）Image in image sequence to be assessed is automatically analyzed, positions the location of each index；
（b）Calculate every evaluation index in image；
（c）The image of obvious shooting mistake is removed by Principle of Statistics, takes the average of each index in sequence as final
Output.
Further, the method for digital radiation image documentation equipment critical component type selecting as described above, the step（a）In：
Image symmetrical is divided into four regions first, one is searched in subgraph using the template matching algorithm based on cross starriness
Cross star telltale mark, using its center as summit；Then, according on the 4 of extraction images cross star centre coordinate (x0,
Y0), (x1, y1), (x2, y2), (x3, y3), calculate that it is mapped to (0,0), (1,0), (1,1), (0,1) are reflected
Matrix is penetrated, its mapping relations is shown below,
,
After each term coefficient that matrix is solved using Gaussian elimination method, you can to calculate phase on image by (u, v)
The position (x, y) answered.
Further, the method for digital radiation image documentation equipment critical component type selecting as described above, the step（b）In：
By the image space according to each part, evaluation index is calculated automatically;According to the distribution situation of each evaluation module, by original image point
Assessed respectively into 5 sub- graph regions；
（Ⅰ）Assess the spatial resolution of X-axis and Y-axis in each region；One subgraph of selection is assessed, first according to line pair
The image-region of measurement needed for the physical coordinates positioning of measurement module；Calculate 3 lines pair for measuring spatial resolution in X-axis
Corresponding region of the measurement module on image, ignore 10% region of boundary member；Using 10 equidistant scan lines in region
Image carries out the sampling in X-axis, and the mtf value calculated in scan line is shown below,
, wherein I is illumination；
The mtf value each calculated according to 10 equidistant scan lines, its average and standard deviation are obtained, to beyond 3 times of standards
The mtf value of difference asks for average again after rejecting；WhenDuring establishment, this corresponding line is to measurement module
For that can recognize；Otherwise it is to be beyond recognition；Similarly, it can be estimated that Y-axis line is changed to Y-axis to measurement module, the simply direction of scan line
Up-sampling；
（Ⅱ）Assess low contrast resolution；One subgraph of selection is assessed, first according to No. 3 parts and No. 4 parts
Physical coordinates positioning needed for measurement image-region；First, the image-region for choosing single part is assessed：In vacancy section
1mm * 1mm sample area totally 4 is chosen in center, and the sample area that 1mm * 1mm are chosen in background area surrounding amounts to 16；
Ask for vacancy section average, ask for background area average, the distinguishable ability of contrast is calculated, is shown below,
WhenWhen, the low contrast can be distinguished；Otherwise it is that cannot be distinguished by；
（Ⅲ）Assess signal to noise ratio；Flat site is assessed in one subgraph of selection, chooses 10mm * 10mm sample region
Domain is counted；Ask for the average of flat sample areaAnd mean square deviation, the signal noise ratio of the subgraph is calculated, such as
Shown in following formula,
；
（Ⅳ）Assess Contrast-to-noise ratio；One subgraph of selection is assessed, and is determined first according to the physical coordinates of No. 5 parts
The image-region of measurement needed for position；1mm * 1mm sample area totally 4 is chosen in centre in the target area, is chosen in background area
1mm * 1mm sample area amounts to 16；Ask for target area averageAnd standard deviation, it is equal to ask for background area
ValueAnd standard deviation, the Contrast-to-noise ratio of the subgraph is calculated, is shown below,
。
Further, the method for digital radiation image documentation equipment critical component type selecting as described above, the step（c）In：
After the assessed value of each image of whole sequence is obtained, the average value and standard deviation of every assessed value are calculated, rejects and is more than 3 times of marks
Averaged again after the assessed value of accurate deviation, using this average value as final output.
Further, the method for digital radiation image documentation equipment critical component type selecting as described above, the step（3）Bag
Include：Corresponding weight is set for every independent evaluation index, after weight addition, obtains a comprehensive evaluation result；
Setting for weight can be set according to the actual demand of manufacturer, and big weight is set for the performance indications of concern, and be that influence is small
Performance indications set small weight.
Further, the method for digital radiation image documentation equipment critical component type selecting as described above, the step（4）Bag
Include：The selecting type scheme for having completed to assess together is archived in database together with its assessment report；Meanwhile using hundred-mark system
Mode, highest scoring in database is designated as full marks, other score values are all in percent；Needing to carry out different schemes contrast
When, existing selecting type scheme and assessment report are recalled, contrasts its comprehensive grading and every evaluation index；When each critical component is connected to
During the Pricedata of manufacturer, there is provided the scoring of cost performance, be easy to select the most suitable assembled scheme of cost performance.
Advantages of the present invention：X-ray image documentation equipment production firm can be used for carry out critical component choosing the invention provides a set of
The method and apparatus of type, by being exclusively used in the prosthese and automatic detection algorithm of assessment, obtain the evaluation index report of each selecting type scheme
Accuse, and support to contrast the assessment result of each selecting type scheme.Equipment production firm is helped scientifically to assess selecting type scheme,
So as to obtain optimal critical component selecting type scheme.
Brief description of the drawings
Fig. 1 assesses special prosthese module design drawing；
Fig. 2 automatic detection algorithm block flow diagrams；
Fig. 3 establishes physical coordinates to image coordinate mapping algorithm flow chart；
Fig. 4 assesses subgraph subregion schematic diagram；
Fig. 5 lines are to measurement module automatic measurement flow chart；
Fig. 6 carries out sampling schematic diagram to line to measurement module application scanning line；
Fig. 7 assesses low contrast resolution algorithm flow chart；
Fig. 8 low contrast evaluation module sample area schematic diagrames；
Fig. 9 signal to noise ratio assessment algorithm flow charts；
Figure 10 signal to noise ratio assessment area schematic diagrames；
Figure 11 Contrast-to-noise ratio assessment algorithm flow charts；
Figure 12 Contrast-to-noise ratio sample area schematic diagrames；
The statistics checking flow chart of Figure 13 assessment results；
Figure 14 quantitative evaluation reporting modules flow charts；
Figure 15 assessment result contrast module flow charts.
Embodiment
The present invention is described in detail with reference to the accompanying drawings and examples.
In order to which picture quality to be come to the effect of quantized key parts selection, it is special that the present invention devises a kind of assessment
Prosthese module, as shown in Figure 1.
It is made up of following part：
No. 1 part：20cm * 20cm * 10cm PMMA material prostheses；
No. 2 parts：Resolution ratio is 3LP/mm, 3.5LP/mm, 3.7LP/mm line to measurement module, module size 10mm
* 10mm；
No. 3 parts：There is 4mm * 4mm * 0.2mm vacancy section at 10mm * 10mm * 0.5mm aluminium flake, its center
Domain；
No. 4 parts：There is 4mm * 4mm * 0.2mm void region at 10mm * 10mm * 2mm aluminium flake, its center；
No. 5 parts：4mm * 4mm * 0.5mm aluminium flake；
No. 6 parts：5mm * 5mm lead matter cross star telltale mark.
Wherein, No. 1 part is used for the thickness of simulated human tissue, available for the signal noise ratio for assessing homogeneous area；No. 2
Part is embedded on the center and four angles of No. 1 part respectively, and line is put as horizontal and vertical respectively to measurement module, point
Yong Yu not spatial resolution in spatial resolution and Y-axis in the X-axis of CELA region and four angular zones；No. 3 parts and No. 4 portions
Part is embedded on the center and four angles of No. 1 part respectively, and the contrast on CELA region and four angular zones is differentiated
Rate；No. 5 parts are embedded on the center and four angles of No. 1 part, and the contrast for CELA region and four angular zones is made an uproar
Acoustic ratio；No. 6 parts are embedded in the specified location at four angles of No. 1 part, for carrying out positioning action in shooting.
Special prosthese module will be assessed to be positioned at flat panel detector center, and the one side for being inlaid with evaluation means is tight
Partitioned detector is developed, multi collect is carried out to it using acquisition system to be assessed（Generally collection 3-5 times）, obtain to be evaluated
The image sequence estimated.Wherein, in order to ensure the consistent of contrast, collection is configured using unified exposure dose.
The present invention devises a kind of automatic detection algorithm module, and flow chart is as shown in Fig. 2 method flow is as follows：
Image in image sequence to be assessed is automatically analyzed, positions the location of each index；
Calculate every evaluation index in image；
The image of obvious shooting mistake is removed by Principle of Statistics, takes the average of each index in sequence as final defeated
Go out.
The specific algorithm flow of wherein step 1 is as shown in Figure 3, it is noted that No. 6 parts are embedded at the corner of No. 1 part
Specified location on（For example, cross star mark center position be (10mm, 10mm), (190mm, 10mm), (190mm,
190mm)、(10mm, 190mm)）, and No. 6 parts and 2,3,4, No. 5 parts are embedded on same plane.Therefore, first will
Image symmetrical is divided into four regions, searches for a cross star in subgraph using the template matching algorithm based on cross starriness
Telltale mark, using its center as summit.Then, according to the cross star centre coordinate (x0, y0) on the 4 of extraction images,
(x1, y1), (x2, y2), (x3, y3), calculate it and be mapped to the mapping square of (0,0), (1,0), (1,1), (0,1)
Battle array, its mapping relations are shown below,
。
After each term coefficient that matrix is solved using Gaussian elimination method, you can to calculate phase on image by (u, v)
The position (x, y) answered.Notice cross star mark original physical coordinates for (10mm, 10mm), (190mm, 10mm),
(190mm, 190mm), (10mm, 190mm), actual position coordinate by Linear Mapping, can be mapped to the list of [0,1]
In the coordinate of position.
According to the method described in step 1, physical coordinates that can be by known each part on No. 1 part calculate
Go out its coordinate position on image.In step 2, by the image space according to each part, evaluation index is calculated automatically.Press
According to the distribution situation of each evaluation module shown in Fig. 1, original image is divided into 5 sub- graph regions and assessed respectively, such as Fig. 4 institutes
Show.
Step 2.1, the spatial resolution of X-axis and Y-axis in each region is assessed, its algorithm flow is as shown in Figure 5.Selection one
Subgraph is assessed, the image-region first according to line to measurement needed for the physical coordinates positioning of measurement module；Calculate for surveying
Corresponding region of 3 lines of spatial resolution in X-axis to measurement module on image is measured, ignores 10% region of boundary member.Make
The sampling in X-axis is carried out to image in region with 10 equidistant scan lines, as shown in fig. 6, the mtf value in calculating scan line is such as
Shown in following formula,
, wherein I is illumination；
The mtf value each calculated according to 10 equidistant scan lines, its average and standard deviation are obtained, to beyond 3 times of standards
The mtf value of difference asks for average again after rejecting.It is considered that work asDuring establishment, this corresponding line is to surveying
Amount module is to recognize；Otherwise it is to be beyond recognition.Similarly, it can be estimated that direction of the Y-axis line to measurement module, simply scan line
Y-axis up-sampling is changed to, as shown in Figure 6.
Step 2.2, low contrast resolution is assessed, its algorithm flow is as shown in Figure 7.One subgraph of selection is assessed,
The image-region measured first according to needed for the physical coordinates positioning of No. 3 parts and No. 4 parts.First, single part is chosen
Image-region is assessed：1mm * 1mm sample area totally 4 is chosen in vacancy section center, 1mm is chosen in background area surrounding
* 1mm sample area amounts to 16, as shown in Figure 8.Ask for vacancy section average, ask for background area average, the distinguishable ability of contrast is calculated, is shown below,
It is considered that work asWhen, the low contrast can be distinguished；Otherwise it is that cannot be distinguished by.
Step 2.3, signal to noise ratio is assessed, its algorithm flow is as shown in Figure 9.Flat site is commented in one subgraph of selection
Estimate, the sample area for choosing 10mm * 10mm is counted, as shown in Figure 10.Ask for the average of flat sample area
And mean square deviation, the signal noise ratio of the subgraph is calculated, is shown below,
。
Step 2.4, Contrast-to-noise ratio is assessed, its algorithm flow is as shown in figure 11.One subgraph of selection is assessed, first
The image-region first measured according to needed for the physical coordinates positioning of No. 5 parts.Adopting for 1mm * 1mm is chosen in centre in the target area
Totally 4, sample region, the sample area that 1mm * 1mm are chosen in background area amount to 16, as shown in figure 12.Ask for target area averageAnd standard deviation, ask for background area averageAnd standard deviation, calculate the subgraph
Contrast-to-noise ratio, it is shown below,
。
Step 3, due in actual multi collect, in fact it could happen that expose unstable situation, the figure now collected
If as being used for assessing, it will assessment result is had partially.Therefore, after the assessed value of each image of whole sequence is obtained, calculate each
The average value and standard deviation of item assessed value, average, this are averaged again after rejecting the assessed value for the deviation for being more than 3 times of standards
Value is as shown in figure 13 as final output, its algorithm flow.
The present invention devises a kind of quantitative evaluation reporting modules, and its flow chart is as shown in figure 14.In order to what is obtained to measurement
Many index carries out a comprehensive assessment, there is the evaluation of an entirety to institute's evaluation scheme.Quantitative evaluation reporting modules are each
The independent evaluation index of item sets corresponding weight, after weight addition, obtains a comprehensive evaluation result.Weight is set
Putting can be set according to the actual demand of manufacturer, and big weight is set for the performance indications of concern, and be to influence small performance indications
Small weight is set, can so obtain the selecting type scheme for more conforming to actual demand.
The present invention devises an assessment result contrast module, and its flow chart is as shown in figure 15.The module possesses filing energy
Power, the selecting type scheme for having completed to assess can be together archived in database together with its assessment report；Meanwhile in order to
Comprehensive grading is set to have normative reference, module is designated as full marks by the way of hundred-mark system, by highest scoring in database, other scorings
Value so can more intuitively show the result of scoring all in percent；When needing to carry out different schemes contrast, can adjust
Go out existing selecting type scheme and assessment report, contrast its comprehensive grading and every evaluation index；When each critical component is connected to manufacturer
Pricedata when, the scoring of cost performance can also be provided, be easy to manufacturer select the most suitable assembled scheme of cost performance.
Obviously, those skilled in the art can carry out the essence of various changes and modification without departing from the present invention to the present invention
God and scope.So, if belonging to the model of the claims in the present invention and its equivalent technology to these modifications and variations of the present invention
Within enclosing, then the present invention is also intended to comprising including these changes and modification.
Claims (8)
- A kind of 1. device of digital radiation image documentation equipment critical component type selecting, it is characterised in that：Described device includes following 6 evaluation means：No. 1 part：PMMA material prostheses；No. 2 parts：Resolution ratio is respectively 3LP/mm, 3.5LP/mm, 3.7LP/mm line to measurement module；No. 3 parts：There is void region at aluminium flake, its center；No. 4 parts：There is void region at aluminium flake, its center；No. 5 parts：Aluminium flake；No. 6 parts：Lead matter cross star telltale mark；Wherein, No. 2 parts are embedded on the center and four angles of No. 1 part respectively, and line is to measurement module respectively by laterally Put with longitudinal direction；No. 3 parts and No. 4 parts are embedded on the center and four angles of No. 1 part respectively；No. 5 parts are inlayed In on the center and four angles of No. 1 part；No. 6 parts are embedded in the specified location at four angles of No. 1 part.
- 2. the device of digital radiation image documentation equipment critical component type selecting as claimed in claim 1, it is characterised in that：The size of 6 parts is as follows：No. 1 part：20cm * 20cm * 10cm PMMA material prostheses；No. 2 parts：Resolution ratio is respectively 3LP/mm, 3.5LP/mm, 3.7LP/mm line to measurement module, module size 10mm * 10mm；No. 3 parts：There is 4mm * 4mm * 0.2mm void region at 10mm * 10mm * 0.5mm aluminium flake, its center；No. 4 parts：There is 4mm * 4mm * 0.2mm void region at 10mm * 10mm * 2mm aluminium flake, its center；No. 5 parts：4mm * 4mm * 0.5mm aluminium flake；No. 6 parts：5mm * 5mm lead matter cross star telltale mark.
- 3. a kind of usage right requires the method for the digital radiation image documentation equipment critical component type selecting of 1 or 2 described devices, its feature It is：It the described method comprises the following steps：（1）Described device is carried out after repeatedly shooting, obtains image sequence to be assessed；（2）Automatic detection is carried out to the image sequence to be assessed, extracts required evaluation index；（3）Evaluation index report is exported, the quantization for selecting type scheme is evaluated and tested；（4）Evaluation index report to different selecting type schemes contrasts, so as to obtain preferable scheme；Or keep miscellaneous part Constant, the scheme for only changing a critical component carries out assessment contrast, so as to select more suitably critical component.
- 4. the method for digital radiation image documentation equipment critical component type selecting as claimed in claim 3, it is characterised in that：The step（1）Comprise the following steps：Described device is positioned at flat panel detector center, and assessment will be inlaid with The one side of part is close to flat panel detector, carries out multi collect to it using acquisition system to be assessed, obtains image to be assessed Sequence；The collection is configured using unified exposure dose.
- 5. the method for digital radiation image documentation equipment critical component type selecting as claimed in claim 3, it is characterised in that：The step（2）Comprise the following steps：（a）Image in image sequence to be assessed is automatically analyzed, positions the location of each index；（b）Calculate every evaluation index in image；（c）The image of obvious shooting mistake is removed by Principle of Statistics, takes the average of each index in sequence as final output.
- 6. the method for digital radiation image documentation equipment critical component type selecting as claimed in claim 5, it is characterised in that：The step（c）In：After the assessed value of each image of whole sequence is obtained, the average value and mark of every assessed value are calculated It is accurate poor, averaged again after rejecting the assessed value for the deviation for being more than 3 times of standards, using the average value asked again as finally defeated Go out.
- 7. the method for digital radiation image documentation equipment critical component type selecting as claimed in claim 3, it is characterised in that：The step（3）Including：Corresponding weight is set for every independent evaluation index, after weight addition, obtains one The evaluation result of individual synthesis；The setting of weight is set according to the actual demand of manufacturer, and big weight is set for the evaluation index of concern, And it is to influence small evaluation index to set small weight.
- 8. the method for digital radiation image documentation equipment critical component type selecting as claimed in claim 3, it is characterised in that：The step（4）Including：The selecting type scheme for having completed to assess together is archived in data together with the report of its evaluation index In storehouse；Meanwhile by the way of hundred-mark system, highest scoring in database is designated as full marks, other score values are all in percent； When needing to carry out different schemes contrast, existing selecting type scheme and evaluation index report is recalled, contrasts its comprehensive grading and items Evaluation index；When each critical component is connected to the Pricedata of manufacturer, there is provided the scoring of cost performance, be easy to select cost performance Most suitable assembled scheme.
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| CN111557681B (en) * | 2020-06-03 | 2023-01-03 | 诸暨市人民医院 | Spiral CT image analysis method |
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| CN1913646A (en) * | 2005-07-06 | 2007-02-14 | 爱克发-格法特公司 | Method for canceling impact of physical property variability on image quality performance of digital imaging system |
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| US5841835A (en) * | 1997-03-31 | 1998-11-24 | General Electric Company | Apparatus and method for automatic monitoring and assessment of image quality in x-ray systems |
| CN1283953A (en) * | 1999-07-15 | 2001-02-14 | 通用电气公司 | Method and appts. for automatically estimating any images quality in multiple models for x-ray system |
| EP1484015A1 (en) * | 2003-06-03 | 2004-12-08 | Fuji Photo Film Co., Ltd. | Quality control phantom |
| CN1913646A (en) * | 2005-07-06 | 2007-02-14 | 爱克发-格法特公司 | Method for canceling impact of physical property variability on image quality performance of digital imaging system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| EP3892199A1 (en) * | 2020-04-06 | 2021-10-13 | Agfa Nv | Method and device for adjusting the geometric and dose parameters for an x-ray acquisition |
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| CN104997525A (en) | 2015-10-28 |
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