CN105078492B - The bearing calibration of sawtooth artifact and device in digital galactophore cross sectional reconstruction - Google Patents
The bearing calibration of sawtooth artifact and device in digital galactophore cross sectional reconstruction Download PDFInfo
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Abstract
The invention provides the sawtooth artifact correction method in a kind of digital galactophore cross sectional reconstruction and device.This method comprises the following steps：Calculate mapping position of the detector edge in the reconstruction image of corresponding reconstructed layer in each Angles Projections image；In the reconstruction image for determining the reconstruction layer, the intersection point and its positional information of galactophore image edges of regions and each mapping position；Sawtooth artifact of the detector edge at the mapping position in the reconstruction image in each Angles Projections image is removed in the galactophore image region based on each intersection point and dislocation information corresponding with each intersection point, wherein dislocation information corresponding with intersection point refers to skew of the tip of sawtooth artifact corresponding with the intersection point relative to the intersection point in the horizontal direction.
Description
Technical field
The invention mainly relates to sawtooth artifact in digital galactophore camera work, more particularly to a kind of digital galactophore cross sectional reconstruction
Bearing calibration and device.
Background technology
Breast cancer is all the important diseases of serious threat women's health in the world.Breast X-ray photography quilt at present
It is known as the preferred test mode of breast cancer.In recent years, as image documentation equipment is constantly updated, digitlization mammary gland tomography synthesis skill
The appearance of art, also known as digital galactophore tomography (Digital Breast Tomosynthesis, DBT), make the morning of breast cancer
Phase detects and diagnosis has further raising.
Digital galactophore tomography is a kind of 3 Dimension Image Technique, can be in of short duration scanning process, in different angle
Obtain the projected image of breast.Then it is single by these independent backprojection image reconstructions into a series of high-resolution faultage images
Solely display or the Dynamic Announce in the form of continuously playing.
Various artifacts occur in the process of reconstruction of foregoing mammary gland faultage image.Artifact refers to produce in imaging process
The raw abnormal image unrelated with scanned tissue structure, the presence of these artifacts not only influence the quality of image, it is also possible to lead
The result of false positive is caused, or covers real focus and causes to fail to pinpoint a disease in diagnosis or mistaken diagnosis.Therefore it is that medical image is rebuild to remove artifact
During an essential step.Yet with the huge number of artifact, the origin cause of formation is different, and it, which finds, screens and removed, is all present
No small difficulty.
The content of the invention
Inventors herein have recognized that in mammary gland tomographic image reconstructing, zigzag can be left at detector edge artifact
Artifact, the artifact are due to caused by detector is too small, scanning angle is small.
Therefore, the technical problem to be solved in the present invention is to provide the bearing calibration of sawtooth artifact in digital galactophore cross sectional reconstruction
And device.
In order to solve the above technical problems, the invention provides a kind of correction side of sawtooth artifact in digital galactophore cross sectional reconstruction
Method, comprise the following steps：Calculate detector edge reflecting in the reconstruction image of corresponding reconstructed layer in each Angles Projections image
Penetrate position；In the reconstruction image for determining the reconstruction layer, galactophore image edges of regions is believed with the intersection point of each mapping position and its position
Breath；Remove in each Angles Projections image and detect in galactophore image region based on each intersection point and dislocation information corresponding with each intersection point
Sawtooth artifact of the device edge at the mapping position in the reconstruction image, wherein dislocation information corresponding with intersection point refers to and the friendship
Skew of the tip of sawtooth artifact corresponding to point relative to the intersection point in the horizontal direction.
Alternatively, mapping of the detector edge in the reconstruction image of corresponding reconstructed layer in each Angles Projections image is calculated
Position includes：Based between the geometry site between radiographic source, detector, each Angles Projections image and corresponding reconstruction layer
Geometry site, the coordinate of pixel in each Angles Projections image is mapped to corresponding reconstruction using image interpolation algorithm
In the reconstruction image of layer；Effective imaging region based on detector determines that detector edge is accordingly weighing in each Angles Projections image
Mapping position in the reconstruction image of build-up layers.
Alternatively, the image interpolation algorithm includes：Bilinear interpolation and nearest-neighbor interpolation method.
Alternatively, each angle is removed in galactophore image region and is thrown based on each intersection point and dislocation information corresponding with each intersection point
Sawtooth artifact of the detector edge at the mapping position in the reconstruction image includes in shadow image：Create and the reconstruction image pair
The 0-1 mammary gland templates answered；In the 0-1 mammary gland templates, each sawtooth artifact is removed successively from mediad both sides, including：One is reflected
The edge for penetrating sawtooth artifact corresponding to the intersection point of position moves inward a distance for being equal to dislocation information corresponding to the intersection point, then
Galactophore image region part between edge after movement and the edge before movement is set to direct exposure area part, and again
The new intersection point for determining galactophore image edges of regions and next mapping position；It steps be repeated alternatively until and remove each sawtooth artifact；With
And the reconstruction image is multiplied with the 0-1 mammary gland templates, the reconstruction image after being corrected.
The present invention also proposes the means for correcting of sawtooth artifact in digital galactophore cross sectional reconstruction a kind of, including the first module, the
Two modules and the 3rd module.First module is used to calculate in each Angles Projections image detector edge in the weight of corresponding reconstructed layer
The mapping position built in image；Second module is used to determine in the reconstruction image of the reconstruction layer, galactophore image edges of regions with it is each
The intersection point and its positional information of mapping position；3rd module is used for based on each intersection point and dislocation information corresponding with each intersection point in breast
It is pseudo- that sawtooth of the detector edge at the mapping position in the reconstruction image in each Angles Projections image is removed in gland image-region
Shadow, wherein it is corresponding with intersection point dislocation information refer to sawtooth artifact corresponding with the intersection point tip relative to the intersection point in level
The skew in direction.
Alternatively, the first module includes：First submodule, for being closed based on the geometric position between radiographic source, detector
Geometry site between system, each Angles Projections image and corresponding reconstruction layer, is thrown each angle using image interpolation algorithm
The coordinate of pixel is mapped to corresponding rebuild in the reconstruction image of layer in shadow image；And second submodule, for based on spy
The effective imaging region for surveying device determines detector edge reflecting in the reconstruction image of corresponding reconstructed layer in each Angles Projections image
Penetrate position.
Alternatively, second submodule by bilinear interpolation or nearest-neighbor interpolation method by each Angles Projections image
The coordinate of pixel is mapped to corresponding rebuild in the reconstruction image of layer.
Alternatively, the 3rd module includes：First submodule, for creating 0-1 mammary gland moulds corresponding with the reconstruction image
Plate；Second submodule, for performing following operate so that in the 0-1 mammary gland templates, each sawtooth is removed successively from mediad both sides
Artifact：The edge of sawtooth artifact corresponding to the intersection point of one mapping position is moved inward one and is equal to the information that misplaced corresponding to the intersection point
Distance, then by the edge after movement and it is mobile before edge between galactophore image region part be set to direct exposure area
Part, and the intersection point of galactophore image edges of regions and next mapping position is redefined, it is each until removing to repeat aforesaid operations
Sawtooth artifact；And the 3rd submodule, for the reconstruction image to be multiplied with the 0-1 mammary gland templates, the reconstruction after being corrected
Image.
Compared with prior art, the present invention is mapped to phase using detector edge in each Angles Projections image in process of reconstruction
The position of layer should be rebuild to position the position of sawtooth, further according to jagged edges tendency, unnecessary part is removed, so as to eliminate
Sawtooth artifact, improve the quality of galactophore image.
Brief description of the drawings
Fig. 1 be one embodiment of the invention digital galactophore cross sectional reconstruction in sawtooth artifact bearing calibration；
Fig. 2 is that the single sawtooth artifact of method shown in Fig. 1 removes flow；
Fig. 3 is the reconstruction image schematic diagram before sawtooth artifact correction；
Fig. 4 is the sawtooth artifact correction schematic diagram of one embodiment of the invention；
Fig. 5 A-5D are that the sawtooth artifact in flow shown in Fig. 2 removes schematic diagram；
Fig. 6 is the sawtooth artifact correction result of one embodiment of the invention；
Fig. 7 is the artifact correction result of existing mammary gland tomographic reconstruction images.
Embodiment
For the above objects, features and advantages of the present invention can be become apparent, the tool below in conjunction with accompanying drawing to the present invention
Body embodiment elaborates.
Many details are elaborated in the following description to facilitate a thorough understanding of the present invention, still the present invention can be with
It is different from other manner described here using other to implement, therefore the present invention is not limited by following public specific embodiment
System.
The projected image of different angle seizure mammary gland is rotated to by turning arm in digital galactophore computer tomography device.Three
Tieing up the generation of galactophore image needs to obtain projected image in all angles, and is rebuild using the projected image of these different angles
Into the faultage image of mammary gland.The 3-dimensional image of one mammary gland includes many reconstruction layers, each corresponding reconstruction image of reconstruction layer.
Due to the reason such as detector is too small, scanning angle is small, in each reconstruction image, each angle is being at different moments
The detector edge of degree can leave sawtooth artifact.The method that the following embodiment of the present invention will describe removal sawtooth artifact.
Fig. 7 is the artifact correction result of existing mammary gland tomographic reconstruction images.With reference to shown in figure 7, even across artifact school
Just, still in region, there is zigzag artifact to existing mammary gland tomographic reconstruction images in A, influences to diagnose.
Therefore, embodiments of the invention propose a kind of bearing calibration of sawtooth artifact in digital galactophore cross sectional reconstruction.Fig. 3 is
Reconstruction image schematic diagram before sawtooth artifact correction, with reference to shown in figure 3, sawtooth puppet is left at the upper and lower edge of reconstruction image
Shadow, the position pointed to such as arrow A1, A2.Fig. 1 be one embodiment of the invention digital galactophore cross sectional reconstruction in sawtooth artifact school
Correction method, as shown in figure 1, the method comprises the following steps：
In step 101, the reconstruction image for calculating detector edge in each Angles Projections image in corresponding reconstructed layer is reflected
Penetrate position.
Fig. 4 is the sawtooth artifact correction schematic diagram of one embodiment of the invention, and Fig. 4 top halfs are the top of mammary gland, lower half
Part is the bottom of mammary gland.With reference to shown in figure 4, mapping position of the detector edge in the reconstruction image of corresponding reconstructed layer is figure
In horizontal dotted line L1-L4.The purpose of this step is to calculate these horizontal dotted lines L1-L4 position.These positions can be
Subsequent step positions intersection point.
In a step 102, in the reconstruction image for determining the reconstruction layer, the friendship of galactophore image edges of regions and each mapping position
The positional information of point and intersection point.
Referring still to shown in Fig. 4 top halfs, in reconstruction image, grey parts are image-regions corresponding to breast tissue,
That is galactophore image region；Black portions are not include the image-region of breast tissue, i.e., direct exposure area.Galactophore image region
The serrate line of demarcation of a band is formed in edge and direct exposure area.Galactophore image edges of regions (at line of demarcation) with it is each
The intersection point of individual mapping position (horizontal dotted line) is the position that each arrow points in figure.As can be seen that these intersection points P1-P4
(being pointed out in figure with arrow) is generally in the same horizontal position with each sawtooth S1-S4 tips.
In step 103, removed based on each intersection point and dislocation information corresponding with each intersection point in galactophore image region respectively
Sawtooth artifact of the detector edge at the mapping position in reconstruction image in Angles Projections image.
Here, dislocation information corresponding with intersection point refers to sawtooth artifact corresponding with the intersection point with the intersection point in the horizontal direction
Skew.As shown in figure 4, in each point of intersection, due to the presence of sawtooth, galactophore image region is in the boundary with direct exposure area
Place misplaces, therefore once obtains dislocation information, you can removes sawtooth according to this dislocation information.For example, in level
At dotted line L1, sawtooth S1 result in the skew that amplitude is D1.Therefore by offset the dislocation information that D1 is represented, you can from mammary gland
Sawtooth S1 is removed in image-region.
In above-mentioned step 101, detector edge in each Angles Projections image can be calculated by following manner
Mapping position in the reconstruction image of corresponding reconstructed layer：First based on the geometry site between radiographic source, detector, each angle
The geometry site spent between projected image and corresponding reconstruction layer, using image interpolation algorithm by each Angles Projections image
The coordinate of pixel is mapped to corresponding rebuild in the reconstruction image of layer；The effective imaging region for being then based on detector determines respectively
Mapping position of the detector edge in the reconstruction image of corresponding reconstructed layer in Angles Projections image.Such as assume projected image point
Resolution is 1000*1000 (i.e. long wide scope is all 0~1000) size, the pixel in projected image be mapped to rebuild layer it
Might have coordinate afterwards is that (pixel corresponding to these coordinates is all detector for the pixel presence of negative value and coordinate more than 1000
Outside pixel), just can determine that detector edge by coordinate 0 and 1000 the two critical values, the level in as Fig. 4 is empty
Line.The point coordinates (x, y) above each dotted line can be represented in result of calculation using a two-dimensional array.
In one embodiment, can be by bilinear interpolation or nearest-neighbor interpolation method by the pixel of projected image
Coordinate be mapped to rebuild each layer in space reconstruction image in.
Fig. 2 is the single sawtooth artifact correction flow of method shown in Fig. 1.With reference to shown in figure 2, artifact correction flow is included such as
Lower step：
Step 201,0-1 mammary gland templates corresponding with reconstruction image are created.
0-1 mammary gland templates are that the gray value of the pixel in the galactophore image region in reconstruction image is set into 1 (white), and
The gray value for the pixel that direct exposure area is put is set to 0 (black).This helps to reduce the resource needed for image procossing.Figure
5A illustrates the part of 0-1 mammary gland templates, including 4 sawtooth S1-S4.
In step 202, in 0-1 mammary gland templates, each sawtooth artifact is removed successively from mediad both sides.
With reference first to shown in Fig. 5 A, arrow it is downward be mammary gland center, arrow it is upward be the lateral edges of mammary gland one.Such as Fig. 5 A
Shown, by the edge E1 of sawtooth artifact S1 corresponding to the intersection point P1 of a mapping position L1, inwardly (for the left in figure), movement one is equal to
Dislocation information D1 distance, the edge E1 ' (as shown in Figure 5 B) after being moved corresponding to the point of intersection S 1.Then such as Fig. 5 C institutes
Show, it is (black that the gray value of the galactophore image region part between the edge E1 ' after movement and the edge E1 before movement is set into 0
Color).Finally, the intersection point of galactophore image edges of regions and next mapping position is redefined.Compare the position of new intersection point P2 ' in Fig. 5 D
Put visible with the position of old acquaintance's point P2 in Fig. 5 A, this intersection point is moved a segment distance by inwardly (in figure for the left), and the distance is greatly
About misplace information D1.
Flow according to Fig. 5 A-5D removes sawtooth artifact S2, S3 and S4 successively, you can removes all sawtooth in this region
Artifact.
Return to shown in Fig. 4, the sawtooth artifact of reconstruction image the latter half, be also similarly removed, so as to be free of
There are the 0-1 mammary gland templates of sawtooth artifact.
In step 203, reconstruction image is multiplied with 0-1 mammary gland templates, the reconstruction image after being corrected.
Fig. 6 is the sawtooth artifact correction result of one embodiment of the invention, the part before left side removes for sawtooth artifact in Fig. 6
Reconstruction image, right side are the partial reconstruction image after sawtooth artifact removes.With reference to shown in figure 6, the region B1 of left-side images has saw
Tooth artifact, after foregoing sawtooth artifact correction, sawtooth artifact is eliminated at the region B2 of image right, so as to obtain
The reconstruction image of pseudo- movie queen must be removed.
The bearing calibration of sawtooth artifact can calculated for example in the digital galactophore cross sectional reconstruction of the above embodiment of the present invention
It is carried out in the computer-readable medium of the combination of machine software, hardware or computer software and hardware.Implement for hardware
For, embodiment described in the present invention can be in one or more application specific integrated circuits (ASIC), digital signal processor
(DSP), digital signal processing device (DAPD), PLD (PLD), field programmable gate array (FPGA), processing
Device, controller, microcontroller, microprocessor, the selection group of other electronic installations or said apparatus for performing above-mentioned function
Close to be carried out.In some circumstances, this kind of embodiment can be implemented by controller.
For software implementation, embodiment described in the present invention can by such as program module (procedures) and
The independent software modules such as function module (functions) are carried out, each of which module perform it is one or more this
The function of described in the text and operation.Software code can be carried out by the application software write in properly programmed language,
It can be stored in internal memory, by controller or computing device.Such as proposed digital galactophore according to embodiments of the present invention breaks
The means for correcting of sawtooth artifact during layer is rebuild, it may include multiple program modules, i.e. the first module, the second module and the 3rd module.
First module is used to calculate mapped bits of the detector edge in the reconstruction image of corresponding reconstructed layer in each Angles Projections image
Put.Second module is used to determine in the reconstruction image of the reconstruction layer, the intersection point of galactophore image edges of regions and each mapping position and
Its positional information.3rd module is used to remove in galactophore image region based on each intersection point and dislocation information corresponding with each intersection point
Sawtooth artifact of the detector edge at the mapping position in the reconstruction image in each Angles Projections image, wherein corresponding with intersection point
Dislocation information refer to skew of the tip relative to the intersection point in the horizontal direction of sawtooth artifact corresponding with the intersection point.
The bearing calibration of sawtooth artifact and device, utilize reconstruction in the digital galactophore cross sectional reconstruction of the above embodiment of the present invention
During in each Angles Projections image detector edge be mapped to the position of corresponding reconstructed layer to position the position of sawtooth, further according to
Jagged edges tendency, unnecessary part is removed, so as to eliminate sawtooth artifact, improves the quality of galactophore image.
Although the present invention describes with reference to current specific embodiment, those of ordinary skill in the art
It should be appreciated that the embodiment of the above is intended merely to the explanation present invention, can also make in the case of without departing from spirit of the invention
Go out various equivalent change or replacement, therefore, as long as change, change in the spirit of the present invention to above-described embodiment
Type will all fall in the range of following claims.
Claims (8)
1. the bearing calibration of sawtooth artifact, comprises the following steps in a kind of digital galactophore cross sectional reconstruction：
Calculate mapping position of the detector edge in the reconstruction image of corresponding reconstructed layer in each Angles Projections image；
In the reconstruction image for determining the reconstruction layer, the intersection point and its positional information of galactophore image edges of regions and each mapping position；
Based on each intersection point and the information that misplaces corresponding with each intersection point, remove in galactophore image region and visited in each Angles Projections image
Sawtooth artifact of the device edge at the mapping position in the reconstruction image is surveyed, wherein dislocation information corresponding with intersection point refers to being somebody's turn to do
Skew of the tip of sawtooth artifact corresponding to intersection point relative to the intersection point in the horizontal direction.
2. the bearing calibration of sawtooth artifact according to claim 1, it is characterised in that calculate in each Angles Projections image
Mapping position of the detector edge in the reconstruction image of corresponding reconstructed layer includes：
Based on several between the geometry site between radiographic source, detector, each Angles Projections image and corresponding reconstruction layer
What position relationship, the coordinate of pixel in each Angles Projections image is mapped to corresponding reconstruction layer using image interpolation algorithm
In reconstruction image；
Effective imaging region based on detector determines that detector edge is in the reconstruction of corresponding reconstructed layer in each Angles Projections image
Mapping position in image.
3. the bearing calibration of sawtooth artifact according to claim 2, it is characterised in that the image interpolation algorithm includes：It is double
Linear interpolation method and nearest-neighbor interpolation method.
4. the bearing calibration of sawtooth artifact according to claim 1, it is characterised in that based on each intersection point and with each intersection point pair
The dislocation information answered removes detector edge reflecting in the reconstruction image in each Angles Projections image in galactophore image region
Penetrating the sawtooth artifact of opening position includes：
Create 0-1 mammary gland templates corresponding with the reconstruction image；
In the 0-1 mammary gland templates, each sawtooth artifact is removed successively from mediad both sides, including：By the intersection point of a mapping position
The edge of corresponding sawtooth artifact moves inward a distance for being equal to dislocation information corresponding to the intersection point, then by the side after movement
The galactophore image region part between edge before edge and movement is set to direct exposure area part, and redefines mammary gland figure
As the intersection point of edges of regions and next mapping position；It steps be repeated alternatively until and remove each sawtooth artifact；And
The reconstruction image is multiplied with the 0-1 mammary gland templates, the reconstruction image after being corrected.
5. the means for correcting of sawtooth artifact in a kind of digital galactophore cross sectional reconstruction, including：
First module, for calculating detector edge reflecting in the reconstruction image of corresponding reconstructed layer in each Angles Projections image
Penetrate position；
Second module, in the reconstruction image for determining the reconstruction layer, the intersection point of galactophore image edges of regions and each mapping position
And its positional information；
3rd module, for removing each angle in galactophore image region based on each intersection point and dislocation information corresponding with each intersection point
Sawtooth artifact of the detector edge at the mapping position in the reconstruction image in projected image, wherein dislocation corresponding with intersection point
Information refers to skew of the tip of sawtooth artifact corresponding with the intersection point relative to the intersection point in the horizontal direction.
6. the means for correcting of sawtooth artifact according to claim 5, it is characterised in that first module includes：
First submodule, for based on the geometry site between radiographic source, detector, each Angles Projections image with it is corresponding
The coordinate of pixel in each Angles Projections image, is mapped to by the geometry site rebuild between layer using image interpolation algorithm
It is corresponding to rebuild in the reconstruction image of layer；And
Second submodule, determine that detector edge is in phase in each Angles Projections image for effective imaging region based on detector
The mapping position that should be rebuild in the reconstruction image of layer.
7. the means for correcting of sawtooth artifact according to claim 6, it is characterised in that second submodule passes through bilinearity
The coordinate of pixel in each Angles Projections image is mapped to the corresponding reconstruction for rebuilding layer by interpolation method or nearest-neighbor interpolation method
In image.
8. the means for correcting of sawtooth artifact according to claim 5, it is characterised in that the 3rd module includes：
First submodule, for creating 0-1 mammary gland templates corresponding with the reconstruction image；
Second submodule, for performing following operate so that in the 0-1 mammary gland templates, each sawtooth is removed successively from mediad both sides
Artifact：The edge of sawtooth artifact corresponding to the intersection point of one mapping position is moved inward one and is equal to the information that misplaced corresponding to the intersection point
Distance, then by the edge after movement and it is mobile before edge between galactophore image region part be set to direct exposure area
Part, and the intersection point of galactophore image edges of regions and next mapping position is redefined, it is each until removing to repeat aforesaid operations
Sawtooth artifact；And
3rd submodule, for the reconstruction image to be multiplied with the 0-1 mammary gland templates, the reconstruction image after being corrected.
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| CN201510583366.0A CN105078492B (en) | 2015-09-15 | 2015-09-15 | The bearing calibration of sawtooth artifact and device in digital galactophore cross sectional reconstruction |
| US15/317,382 US10140735B2 (en) | 2015-09-15 | 2016-09-14 | Image reconstruction system and method |
| GB1706273.8A GB2547360B (en) | 2015-09-15 | 2016-09-14 | Image reconstruction system and method |
| PCT/CN2016/099061 WO2017045618A1 (en) | 2015-09-15 | 2016-09-14 | Image reconstruction system and method |
| CN201680053776.7A CN108352078B (en) | 2015-09-15 | 2016-09-14 | Image reconstruction system and method |
| US15/460,187 US9697623B1 (en) | 2015-09-15 | 2017-03-15 | Image reconstruction system and method |
| US15/608,935 US9875558B2 (en) | 2015-09-15 | 2017-05-30 | Image reconstruction system and method |
| US16/199,025 US10586355B2 (en) | 2015-09-15 | 2018-11-23 | Image reconstruction system and method |
| US16/199,016 US10600214B2 (en) | 2015-09-15 | 2018-11-23 | Image reconstruction system and method |
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