CN104463831B - A kind of method for repairing and mending of x-ray flat panel detector image bad line - Google Patents
A kind of method for repairing and mending of x-ray flat panel detector image bad line Download PDFInfo
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Abstract
The present invention discloses a kind of method for repairing and mending of x-ray flat panel detector image bad line comprising step: calculating the abnormality degree in bad line region in x-ray flat panel detector image；When abnormality degree is greater than preset first threshold, further judge whether abnormality degree is greater than preset second threshold, if, ignore the pixel value of each pixel in x-ray flat panel detector image bad line, pass through the non-damaging pixel region around bad line coordinates, image is handled using interpolation smoothing method in bad line vertical direction, obtain final repairing image, otherwise, further detect the apparent edge that bad line direction is parallel in bad line, it carries out curve fitting to edge, and obtains final repairing image by interpolation and smoothing processing.It is not necessary to modify the parameters of x-ray flat panel detector by the present invention, and take full advantage of the valid pixel value in bad line region, have reached preferable repairing effect, and remain the efficient diagnosis information of x-ray image, have positive effect to diagnosis is improved.
Description
Technical field
The present invention relates to Medical Image Processings, more particularly, to a kind of repairing of x-ray flat panel detector image bad line
Method.
Background technique
The film imaging of x-ray flat panel detector than before has many good qualities at present, as spatial resolution is high, space distortion
It is small, have flexible last handling process etc..But detector is due to complex manufacturing technology, when leaving the factory, in transportational process or makes
The defects of with will appear abnormal bright spot, dim spot and the bad line of bad point after a period of time.Producer carries bad point at present and bad line is rectified
Positive program corrects program compared to bad point, and bad line correction program is easier to go out because of bad line width and bad line variation severe degree
Now repair insufficient trace.At this moment it needs a kind of method to carry out secondary reparation, eliminates or desalinate bad stria mark.
Chinese patent CN 200510026786.5 proposes a kind of bearing calibration of X-ray digital imagery, and this method is basis
To the physics analysis of imaging chain, drift correction, spatial heterogeneity correction, bad point are carried out to digital flat panel using mathematical model
After correction, the digital picture of complete X-ray information.But the method can only correcting image bad point and need to X-ray plate visit
Device is surveyed to be modified.
Chinese patent application CN201010135142.0 propose it is a kind of handle x-ray flat panel detector image bad line method and
Its device, the method detect the position of x-ray flat panel detector bad line first, then using the non-bad line image in the neighborhood of bad line
The image data of pixel calculates compensation rate, to repair the bad line of image.The method has ignored the valid pixel value in bad line, leads
It causes to repair result images in the pixel in bad line region to be artificial manufacture, loses diagnostic significance.
Summary of the invention
The present invention proposes a kind of method for repairing and mending of x-ray flat panel detector image bad line, on the basis of producer's correction result
It carries out repairing to bad line region again to achieve the purpose that completely remove bad line, to solve the prior art using simple interpolation method
The technical problem that processing causes repairing effect bad is carried out to image bad line.
The present invention adopts the following technical scheme that realization: a kind of method for repairing and mending of x-ray flat panel detector image bad line comprising
Step:
A, the abnormality degree diffVal in bad line region in x-ray flat panel detector image is calculated；
B, when abnormality degree diffVal is greater than preset first threshold T, further judge whether abnormality degree diffVal is big
In preset second threshold t, if so, being transferred to step C, it is otherwise transferred to step D；
C, the pixel value for ignoring each pixel in x-ray flat panel detector image bad line passes through the non-damage around bad line coordinates
Bad pixel region is handled image using interpolation smoothing method in bad line vertical direction, obtains final repairing image f(x,y)；
D, the bad apparent edge in line direction of bad line is detected, is carried out curve fitting to edge, and passes through interpolation and smoothing processing
Obtain final repairing image f(x,y)；
Wherein, the calculation formula of first threshold T isThe calculation formula of second threshold t isN is the number of pixel on bad line direction, and Max (GrayScale) is
The maximum gradation value of x-ray flat panel detector image, XiFor the pixel value of pixel each on bad line,WithIt is and bad line respectively
The pixel value of each pixel on two adjacent intact pixel lines of the left and right sides.
Wherein, L item runs through the bad line of plate up and down in x-ray flat panel detector image, bad line coordinates is Defl, wherein l
=1 ..., L, then the calculation formula of abnormality degree diffVal is as follows:
Wherein, the calculation formula handled using interpolation smoothing method image in step C is as follows: f(x,y)=cof
I(x,-1)+(1-cof)·I(x,L+1), x=1,2 ... R；Y=1 ..., l；
I(x,-1)Indicate each point on the intact line on the left of bad line,
I(x,L+1)Indicate each point on intact line adjacent on the right side of the bad line, R indicates the length of bad line, and y is from 1 to current bad line
The value of l, l=1 ..., L.
Wherein, the step of detecting the apparent edge in the bad line direction of bad line include:
It is filtered using Gaussian smoothing template；
Using Sobel vertical direction Filtering Template be filtered detection obtain being parallel to bad line direction in bad line region it is obvious
Edge, and record the coordinate (x of these marginal pointsj,yj)。
Wherein, the step of carrying out curve fitting to edge includes: that the marginal point coordinate that will be obtained uses quadratic polynomial ax2
+ bx+c=y carries out curve fitting, and a is 2 term coefficients, and b is Monomial coefficient, and c is constant term, and x is that independent variable is also in image
The coordinate of middle row, y are that dependent variable is also column coordinate in the picture.
Wherein, include: the step of interpolation processing in step D
Every bit (the x in bad line region inner marginj,yj)∈ax2The normal direction of+bx+c=yIt is used upWithInterior pixel valueInterpolation is carried out with pixel point value of the bad line on curvilinear equation itself, interpolation method is Wherein, t is preset two subthreshold, and I is x-ray flat panel detector image
Pixel value, k is control coefrficient.
Wherein, control coefrficient k is 1.
Compared with prior art, the invention has the following beneficial effects:
The present invention remains the included bad line correction program of x-ray flat panel detector producer first, bad being carried by producer
Line is corrected program and is carried out on the basis of once repairing to image, and selection is to image on the basis of the abnormality degree by calculating bad line region
Bad line carries out secondary reparation, and it is not necessary to modify the parameters of x-ray flat panel detector, and take full advantage of the valid pixel in bad line region
Value, has reached preferable repairing effect, and remain the efficient diagnosis information of x-ray image, has positive effect to diagnosis is improved.
Detailed description of the invention
Fig. 1 is the flow diagram of a preferred embodiment of the invention.
Fig. 2A and Fig. 2 B is the leg DR image before and after bad wire restoration respectively.
Fig. 3 A and Fig. 3 B are the thoracic vertebrae DR image before and after bad wire restoration respectively.
Specific embodiment
The invention discloses a kind of restorative procedure of x-ray flat panel detector image bad line, producer's plate correction program it
It is evaluated afterwards by calculating the abnormality degree in the bad line region of image image itself is repaired, it is then still bad to repairing effect
Image carries out secondary bad wire restoration, achievees the purpose that completely remove image bad line.
As shown in Figure 1, a preferred embodiment of the present invention includes following realization step:
Step S1, the abnormality degree in bad line region in x-ray flat panel detector image is calculated.
The bad line that the present invention and x-ray flat panel detector producer carry corrects procedure sharing bad line coordinates, it is assumed that has L item or more
Through the bad line of plate, bad line coordinates is Defl, wherein l=1 ..., L.The included correction program of producer is calculated by bad line coordinates
The diversity factor between the bad line pixel value in result images and the pixel value of the non-bad line of surrounding is repaired, diversity factor diffVal is one
Value between a (0~1), calculation are as follows:
Wherein, XiFor the pixel value of pixel each on bad line,WithBe with adjacent two at left and right sides of bad line it is complete
Good pixel line.N is the number of pixel on bad line direction, and L is the item number of bad pixel
Step S2, by the diversity factor diffVal being calculated compared with preset first threshold T, judge whether to need to carry out secondary repair
It is multiple.If diversity factor is greater than first threshold T, judgement needs to carry out secondary reparation, is transferred to step S3, otherwise indicates not needing carry out two
Then process leaves it at that for secondary reparation.
The calculation formula of first threshold T:Wherein Max (GrayScale) is x-ray plate
The maximum gradation value of detector image, for example, x-ray flat panel detector image is 16 bit images, the then Max in 16 bit images
It (GrayScale) is 65535, for another example, x-ray flat panel detector image is 14 bit images, then the Max in 14 bit images
It (GrayScale) is 16383.
Step S3, further judge whether diversity factor diffVal is greater than preset second threshold t, if so, being transferred to step
S4；If the abnormality degree in bad line region is less than second threshold t, illustrate the included bad wire restoration journey of x-ray flat panel detector producer
Sequence is still effective, only ineffective, then is transferred to step S5 and carries out further optimization reparation.
Wherein, the calculation formula of second threshold t:
If the abnormality degree in bad line region is greater than second threshold t, illustrates that producer is included and repair result badly, i.e., it is primary to repair
Bad line pixel in image cannot be used continuously, and need to carry out secondary reparation.
Step S4, the pixel value for ignoring each pixel in bad line, by the non-damaging pixel region around bad line coordinates,
Bad line vertical direction is handled image using interpolation smoothing method, obtains final repairing image f(x,y)。
f(x,y)=cofI(x,-1)+(1-cof)·I(x,L+1), x=1,2 ... R；Y=1 ..., l；
Wherein I(x,-1)Indicate each point on the intact line on the left of bad line
I(x,L+1)Indicate each point on the adjacent intact line in bad line right side.R indicates bad line length, and y is from 1 to current bad line l
Value.
Step S5, it is filtered first using the Gaussian smoothing template that size is 3x3, reuses the filter of Sobel vertical direction
Wave template is filtered detection and obtains being parallel to the bad apparent edge in line direction in bad line region, records the seat of these marginal points
Mark (xj,yj)。
Step S6, it is fitted by marginal point coordinate obtained in previous step using quadratic polynomial, fit curve equation is
ax2+ bx+c=y.Wherein, ax2+ bx+c=y is a linear equation, and a is 2 term coefficients, and b is Monomial coefficient, and c is constant
, it is also coordinate capable in the picture that x, which is independent variable, and y is that dependent variable is also column coordinate in the picture.
Step S7, the every bit (x in bad line region inner marginj,yj)∈ax2The normal direction of+bx+c=yIt is used upWithInterior pixel valueInterpolation is carried out with pixel point value of the bad line on curvilinear equation itself, interpolation method is
T is preset two subthreshold, and I is original image pixel value, and k is
Control coefrficient is here 1；Wherein, (xj,yj) it is to be filtered detection using Sobel vertical direction Filtering Template to obtain the area Huai Xian
The point of the bad apparent edge in line direction is parallel in domain,WithIt is two adjacent at left and right sides of bad line
The pixel point value of intact pixel line.
Step S8, then other pixel values are handled image using bad line vertical direction exponential smoothing, is obtained into one
Step treated image f(x,y), wherein the calculating process of picture smooth treatment is as follows:
f(x,y)=0.7 (cofI(x,-1)+(1-cof)·I(x,L+1))+0.3·(I(x,y)) x=1,2 ... R；Y=
1,…,l；
Fig. 2A is the leg DR image for leading astray line, after technical solution of the present invention is repaired, is obtained such as Fig. 2 B institute
Diagram picture, bad line are repaired.For another example, Fig. 3 A is the thoracic vertebrae DR image for leading astray line, is repaired by technical solution of the present invention
After multiple, image as shown in Figure 3B is obtained, bad line is repaired.
To sum up, the present invention remains the included bad line correction program of x-ray flat panel detector producer first, carries by producer
Bad line correction program to image carry out once repair on the basis of, to be chosen whether premised on calculating the abnormality degree in bad line region
Secondary reparation is carried out to image bad line, it is not necessary to modify the parameters of x-ray flat panel detector, and take full advantage of the effective of bad line region
Pixel value has reached preferable repairing effect, and remains the efficient diagnosis information of x-ray image, has actively to diagnosis is improved
Meaning.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within mind and principle.
Claims (5)
1. a kind of method for repairing and mending of x-ray flat panel detector image bad line, which is characterized in that comprising steps of
A, the abnormality degree diffVal in bad line region in x-ray flat panel detector image is calculated；
B, when abnormality degree diffVal is greater than preset first threshold T, it is pre- further to judge whether abnormality degree diffVal is greater than
If second threshold t be otherwise transferred to step D if so, being transferred to step C；
C, the pixel value for ignoring each pixel in x-ray flat panel detector image bad line passes through the non-damaging picture around bad line coordinates
Plain region is handled image using interpolation smoothing method in bad line vertical direction, obtains final repairing image f(x,y)；
D, the bad apparent edge in line direction of bad line is detected, is carried out curve fitting to edge, and is obtained by interpolation and smoothing processing
Final repairing image f(x,y)；
Wherein, the calculation formula of first threshold T isThe calculation formula of second threshold t isI=1,2 ..., N, N are the number of pixel on bad line direction, and Max (GrayScale) is X
The maximum gradation value of line flat panel detector image, XiFor the pixel value of pixel each on bad line,WithIt is and bad line respectively
The pixel value of each pixel on two adjacent intact pixel lines of the left and right sides.
2. a kind of method for repairing and mending of x-ray flat panel detector image bad line according to claim 1, which is characterized in that detection is bad
The step of apparent edge in the bad line direction of line includes:
It is filtered using Gaussian smoothing template；
Detection is filtered using Sobel vertical direction Filtering Template to obtain being parallel to the bad apparent side in line direction in bad line region
Edge, and record the coordinate (x of these marginal pointsj,yj)。
3. a kind of method for repairing and mending of x-ray flat panel detector image bad line according to claim 1, which is characterized in that edge
The step of carrying out curve fitting includes: that the marginal point coordinate that will be obtained uses quadratic polynomial ax2It is quasi- that+bx+c=y carries out curve
It closes, a is 2 term coefficients, and b is Monomial coefficient, and c is constant term, and x is that independent variable is also row coordinate in the picture, and y is because becoming
Amount is also column coordinate in the picture.
4. a kind of method for repairing and mending of x-ray flat panel detector image bad line according to claim 3, which is characterized in that in step D
The step of interpolation processing includes:
Every bit (the x in bad line region inner marginj,yj)∈ax2The normal direction of+bx+cIt is used upWithInterior pixel valueInterpolation is carried out with pixel point value of the bad line on curvilinear equation itself, interpolation method isY=
0,1 ..., L-1, wherein t is preset two subthreshold, and I is the pixel value of x-ray flat panel detector image, and k is control coefrficient,
(xj,yj) be filtered using Sobel vertical direction Filtering Template detection obtain being parallel to bad line direction in bad line region it is obvious
Edge point,WithFor the pixel point value with adjacent two intact pixel lines at left and right sides of bad line,
L is up and down through the item number of the bad line of plate.
5. a kind of method for repairing and mending of x-ray flat panel detector image bad line according to claim 4, which is characterized in that control system
Number k is 1.
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| CN107818556B (en) * | 2016-08-31 | 2021-06-29 | 江苏邦融微电子有限公司 | Bad line self-detection and self-repair method of capacitive fingerprint acquisition system |
| CN107661115B (en) | 2017-10-30 | 2021-04-20 | 上海联影医疗科技股份有限公司 | System and method for positron emission tomography |
| CN111192217A (en) * | 2019-12-30 | 2020-05-22 | 深圳蓝韵医学影像有限公司 | Digital X-ray image repairing method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| EP1659534A2 (en) * | 2004-11-18 | 2006-05-24 | Kabushiki Kaisha Toshiba | Restoration of truncated imaging data of X-ray ct apparatus |
| CN1881075A (en) * | 2005-06-15 | 2006-12-20 | 上海医疗器械厂有限公司 | X-ray digital imaging correction method |
| CN101795349A (en) * | 2010-03-24 | 2010-08-04 | 深圳迈瑞生物医疗电子股份有限公司 | Method for processing faulty wire of x-ray flat panel detector image and device thereof |
| CN102957878A (en) * | 2011-08-29 | 2013-03-06 | 深圳市蓝韵实业有限公司 | Method and system for automatically detecting defective pixel on medical image |
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| JP2006234557A (en) * | 2005-02-24 | 2006-09-07 | Shimadzu Corp | Method of correcting x-ray image and x-ray inspection apparatus |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| EP1659534A2 (en) * | 2004-11-18 | 2006-05-24 | Kabushiki Kaisha Toshiba | Restoration of truncated imaging data of X-ray ct apparatus |
| CN1881075A (en) * | 2005-06-15 | 2006-12-20 | 上海医疗器械厂有限公司 | X-ray digital imaging correction method |
| CN101795349A (en) * | 2010-03-24 | 2010-08-04 | 深圳迈瑞生物医疗电子股份有限公司 | Method for processing faulty wire of x-ray flat panel detector image and device thereof |
| CN102957878A (en) * | 2011-08-29 | 2013-03-06 | 深圳市蓝韵实业有限公司 | Method and system for automatically detecting defective pixel on medical image |
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