CN106846252B - A kind of the anisotropy Zoom method and its system of image target area - Google Patents
A kind of the anisotropy Zoom method and its system of image target area Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000005530 etching Methods 0.000 claims abstract description 24
- 238000005260 corrosion Methods 0.000 claims description 10
- 230000007797 corrosion Effects 0.000 claims description 10
- 230000004323 axial length Effects 0.000 claims description 9
- 230000003321 amplification Effects 0.000 claims description 7
- 238000003199 nucleic acid amplification method Methods 0.000 claims description 7
- 238000000605 extraction Methods 0.000 claims description 5
- 238000003325 tomography Methods 0.000 claims 1
- 239000003814 drug Substances 0.000 abstract description 5
- 210000000278 spinal cord Anatomy 0.000 description 5
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
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- 238000013461 design Methods 0.000 description 1
- 230000003628 erosive effect Effects 0.000 description 1
- 238000009499 grossing Methods 0.000 description 1
- 238000011017 operating method Methods 0.000 description 1
- 210000000056 organ Anatomy 0.000 description 1
- 238000001959 radiotherapy Methods 0.000 description 1
- 210000004872 soft tissue Anatomy 0.000 description 1
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformations in the plane of the image
- G06T3/40—Scaling of whole images or parts thereof, e.g. expanding or contracting
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Abstract
The invention discloses the anisotropy Zoom methods and its system of a kind of image target area, by converting bianry image for two-dimensional ct image, then the bianry image is filled into corresponding position in the 3D data volume of building, expansion or etching operation are carried out to the 3D data volume respectively according to the needs for extending out or inside contracting, the contour line of bianry image is finally extracted by dimension, can carry out in all directions different degrees of scaling to multilayer two-dimension faultage image.Image-scaling method of the invention is easy to operate, and obtained scaled results accuracy is high, and the image border after scaling is smooth, and image framework is continuous, breakpoint is few, the anisotropy scaling of the tomoscans image such as CT and MR for being particularly suitable in medicine.
Description
Technical field
The present invention relates to the anisotropy Zoom methods of technical field of image processing more particularly to a kind of image target area
And its system.
Background technique
In the tomoscans image such as CT and MR, single organ or target target area are made of family's contour line, the profile
Line is distributed on multiple two-dimensional ct images.In order to ensure precision and accuracy, at present clinically mostly by radiotherapy doctor or its
His well-trained medical worker sketches out the contour line on each two-dimensional ct image manually, and this to delineate operation manually numerous
It is trivial, the time and efforts of medical worker is greatly wasted, or even be likely to make a fault because of personnel's fatigue.
Currently, there are also the methods for sketching outline line automatically, such as the method based on gray scale and gradient information, wherein comparing
More representational is region-growing method, and such method is with higher to delineate speed, but to noise-sensitive, and to soft tissue
The equal indefinite target area in edges to delineate effect automatically undesirable.
The automatic delineation method based on template and registration there are also one kind, generally require image data that will delineate as
Then target area to be delineated is concentrated most like template to be registrated, to realize by priori data collection with priori data
Target area is delineated automatically.The shortcomings that such method, is: needing to prepare suitable priori data collection, and registration accuracy early period
It is bad, registration is computationally intensive and delineates that time-consuming automatically.
After sketching out contour line, usually also according to needing to zoom in and out image, image scaling is generally required continuously
Scaling, existing image-scaling method are usually calculated from the coordinate origin of image, are calculated point by point from left to right,
It is calculated again from next line after a line, once back and forth calculates the scaled results of full image, computationally intensive, cost
Height, and can not achieve the scaling of image anisotropy.
Summary of the invention
The technical problems to be solved by the present invention are: providing, a kind of scaling accuracy is high, and the image border after scaling is smooth
Image target area anisotropy Zoom method and its system.
In order to solve the above-mentioned technical problem, the technical solution adopted by the present invention are as follows:
A kind of anisotropy Zoom method of image target area, comprising:
The contour line of multilayer two-dimension faultage image target area is obtained, and corresponding each layer two dimension is obtained according to the contour line
The bianry image of faultage image;
The external cube of minimum of the contour line is calculated;
According to default amplification distance of the contour line on the six direction vertical with the minimum six faces of external cube,
The external cube of minimum is extended out, the first 3D data volume is obtained;
Using the external cube of minimum as the second 3D data volume;
The bianry image is filled into first 3D data volume and the second 3D data volume and the wheel respectively
The corresponding position of profile;
Expansive working is carried out to the first 3D data volume;
Etching operation is carried out to the second 3D data volume;
According to after expansion the first 3D data volume and corrosion after the second 3D data volume dimension, obtain with it is described
The vertical two-dimentional bianry image of dimension;
Extract the contour line of the two-dimentional bianry image.
Another technical solution of the invention are as follows:
A kind of anisotropy panntographic system of image target area, comprising:
First obtains module, for obtaining the contour line of multilayer two-dimension faultage image target area, and according to the profile
Line obtains the bianry image of corresponding each layer two-dimensional ct image;
Computing module, for the external cube of minimum of the contour line to be calculated;
First operation module, for pre- on the six direction vertical with the external cube of minimum according to contour line
If amplifying distance, the external cube of minimum is extended out, the first 3D data volume is obtained;
Second operation module, for using the external cube of minimum as the second 3D data volume;
Module is filled, for the bianry image to be filled into first 3D data volume and the second three-dimensional data respectively
Position corresponding with the contour line in body;
Expansion module, for carrying out expansive working to the first 3D data volume;
Corrode module, for carrying out etching operation to the second 3D data volume;
Second obtains module, for the second 3D data volume according to the first 3D data volume after expansion and after corroding
Dimension obtains the two-dimentional bianry image vertical with the dimension;
Extraction module, for extracting the contour line of the two-dimentional bianry image.
The beneficial effects of the present invention are: bianry image is converted by two-dimensional ct image, then by the bianry image
Be filled into corresponding position in the 3D data volume of building, according to the needs for extending out or inside contracting respectively to the 3D data volume into
Row expansion or etching operation, are finally extracted the contour line of bianry image by dimension, can be to multilayer two-dimension faultage image each
Different scalings is carried out on a direction.Image-scaling method of the invention is easy to operate, and two dimensional image is filled into three by the present invention
It is expanded or is corroded in dimension data body, obtained scaled results accuracy is high, and the image border after scaling is smooth, and image
Skeleton is continuous, breakpoint is few, the anisotropy scaling of the tomoscans image such as CT and MR for being particularly suitable in medicine.
Detailed description of the invention
Fig. 1 is the flow chart of the anisotropy Zoom method of the image target area of the embodiment of the present invention one;
Fig. 2 is the flow chart of the anisotropy Zoom method of the image target area of the embodiment of the present invention two;
Fig. 3 is the structural schematic diagram of the anisotropy panntographic system of image target area of the invention;
Fig. 4 is the structural schematic diagram of the anisotropy panntographic system of the image target area of the embodiment of the present invention four.
Label declaration:
1, first module is obtained;2, computing module;3, the first operation module;4, the second operation module;
5, module is filled;6, expansion module;7, corrode module;8, second module is obtained;
9, extraction module;10, the first building module;11, the second building module;12, constructing module;
13, judgment module;14, the first setup module;15, the second setup module;16, third setup module.
Specific embodiment
To explain the technical content, the achieved purpose and the effect of the present invention in detail, below in conjunction with embodiment and cooperate attached
Figure is explained.
The most critical design of the present invention is: converting bianry image for two-dimensional ct image, it is subsequently filled building
In 3D data volume, need to carry out 3D data volume expansion or etching operation according to what is extended out or inside contract, it can be to multilayer two
Dimension faultage image carries out different scalings in all directions.
Please refer to Fig. 1, a kind of anisotropy Zoom method of image target area, comprising:
The contour line of multilayer two-dimension faultage image target area is obtained, and corresponding each layer two dimension is obtained according to the contour line
The bianry image of faultage image;
The external cube of minimum of the contour line is calculated;
According to default amplification distance of the contour line on the six direction vertical with the minimum six faces of external cube,
The external cube of minimum is extended out, the first 3D data volume is obtained;
Using the external cube of minimum as the second 3D data volume;
By the bianry image be filled into respectively first 3D data volume neutralize in the second 3D data volume with it is described
The corresponding position of contour line;
Expansive working is carried out to the first 3D data volume;
Etching operation is carried out to the second 3D data volume;
According to after expansion the first 3D data volume and corrosion after the second 3D data volume dimension, obtain with it is described
The vertical two-dimentional bianry image of dimension;
Extract the contour line of the two-dimentional bianry image.
As can be seen from the above description, the beneficial effects of the present invention are: by converting bianry image for two-dimensional ct image,
It is subsequently filled any contracting for being expanded or being corroded in 3D data volume, it can be achieved that two-dimensional ct image in all directions
It puts, and scales precision height.
Further, described " expansive working to be carried out to the first 3D data volume;Corrosion behaviour is carried out to the second 3D data volume
Make " before, further includes:
According to pre-set zoom distance building structural element;
Three-dimensional system of coordinate is constructed by origin of the central point of the structural element;
It is that axial length constructs ellipsoid in the three-dimensional system of coordinate with the pre-set zoom distance;
Judge a pixel of the structural element whether in the ellipsoid;
If so, the pixel value of a pixel is set as 1;
If it is not, the pixel value of a pixel is then set as 0.
Further, described " expansive working is carried out to the first 3D data volume " specifically: according to the structural element pair
First 3D data volume carries out expansive working.
Further, described " etching operation is carried out to the second 3D data volume " specifically: according to the structural element pair
Second 3D data volume carries out etching operation.
It seen from the above description, is by a three-dimensional structural elements when carrying out expansion or etching operation to 3D data volume
Usually realize.
Further, described " bianry image to be filled into first 3D data volume and the two or three dimension respectively
According to position corresponding with the contour line in body " before further include: by first 3D data volume and the second 3D data volume
The pixel value of middle pixel is set as 0.
Referring to figure 3., another technical solution of the invention are as follows:
A kind of anisotropy panntographic system of image target area, comprising:
First obtains module, for obtaining the contour line of multilayer two-dimension faultage image target area, and according to the profile
Line obtains the bianry image of corresponding each layer two-dimensional ct image;
Computing module, for the external cube of minimum of the contour line to be calculated;
First operation module, for pre- on the six direction vertical with the external cube of minimum according to contour line
If amplifying distance, the external cube of minimum is extended out, the first 3D data volume is obtained;
Second operation module, for using the external cube of minimum as the second 3D data volume;
Module is filled, for the bianry image to be filled into first 3D data volume and the second three-dimensional data respectively
Position corresponding with the contour line in body;
Expansion module, for carrying out expansive working to the first 3D data volume;
Corrode module, for carrying out etching operation to the second 3D data volume;
Second obtains module, for the second 3D data volume according to the first 3D data volume after expansion and after corroding
Dimension obtains the two-dimentional bianry image vertical with the dimension;
Extraction module, for extracting the contour line of the two-dimentional bianry image.
Further, further includes:
First building module, for according to pre-set zoom distance building structural element;
Second building module, for constructing three-dimensional system of coordinate by origin of the central point of the structural element;
Constructing module, for being that axial length constructs ellipsoid in the three-dimensional system of coordinate with the pre-set zoom distance;
Judgment module, for judging a pixel of the structural element whether in the ellipsoid;
First setup module, for if so, the pixel value of a pixel is set as 1;
Second setup module, for if it is not, the pixel value of a pixel is then set as 0.
Further, the expansion module is specifically used for carrying out first 3D data volume according to the structural element
Expansion.
Further, the corrosion module is specifically used for carrying out second 3D data volume according to the structural element
Etching operation.
Further, further include third setup module, be used for first 3D data volume and the second 3D data volume
The pixel value of middle pixel is set as 0.
Embodiment one
Please refer to Fig. 1, the embodiment of the present invention one are as follows: a kind of anisotropy Zoom method of image target area, it can be
Different degrees of scaling is carried out in all directions to image target area, the tomoscans image such as CT and MR suitable for medicine
Anisotropy scaling.Mainly include the following steps:
The contour line of multilayer two-dimension faultage image target area is obtained, and corresponding each layer two dimension is obtained according to the contour line
The bianry image of faultage image.The contour line can be the wheel manually or automatically delineated obtained before zooming in and out to image
Profile, image target area can choose any region for needing to zoom in and out, and shapes and sizes can be set as needed
Fixed and selection, then corresponds to each layer of two-dimensional ct image and is converted into bianry image, the picture on contour line and in contour line
The pixel value of vegetarian refreshments is set as 1, and the pixel value of the pixel other than contour line is set as 0.
The external cube of minimum of the contour line is calculated.The external cube of minimum is that can accommodate all profiles
The minimum cube of line is denoted as Extent [6].
According to default amplification distance of the contour line on the six direction vertical with the minimum six faces of external cube,
The external cube of minimum is extended out, the first 3D data volume is obtained.Default amplification distance on six direction is not
Value less than 0 can set different values on different directions, naturally it is also possible to it is set as identical value, it can be according to specific need
It is set.Assuming that the default amplification distance on six direction is respectively X1, X2, Y1, Y2, Z1 and Z2, when being extended out
Operation on six direction is respectively as follows: Extent [0] +=X1 (i.e. Extent [0]=Extent [0]+X1), Extent [1]-
=X2 (i.e. Extent [1]=Extent [1]-X2), Extent [2] +=Y1, Extent [3] -=Y2, Extent [4] +=Z1,
Extent [5] -=Z2, then by the Extent after extending out [6] array round numbers.First 3D data volume is in each dimension
Range size is respectively ((Extent [1]-Extent [0]+1), (Extent [3]-Extent [2]+1), (Extent [5]-
Extent[4]+1))。
Using the external cube of minimum as the second 3D data volume, for the case where inside contracting to minimum external cube
Without the operating procedure inside contracted, the external cube of minimum as the second 3D data volume and is directly subjected to next step
Suddenly, to guarantee that bianry image can be fully accommodated in the second 3D data volume.
The bianry image is filled into first 3D data volume and the second 3D data volume and the wheel respectively
The corresponding position of profile.In filling, the relative positional relationship of the corresponding bianry image of each layer contour line is remained unchanged, in favor of
The progress of subsequent step.Before being filled further include: by pixel in first 3D data volume and the second 3D data volume
The pixel value of point is set as 0, i.e., carries out just to the pixel value of the pixel in the first 3D data volume and the second 3D data volume
Beginningization processing.
Expansive working is carried out to the first 3D data volume.Expansion is to extend out to bianry image, in bianry image
Boundary add pixel.
Etching operation is carried out to the second 3D data volume.Corrosion is to inside contract to bianry image, deletes bianry image
In boundary certain pixels.
According to after expansion the first 3D data volume and corrosion after the second 3D data volume dimension, obtain with it is described
The vertical two-dimentional bianry image of dimension.The two or three dimension after the first 3D data volume and corrosion after calculating expansion first
According to the value range on dimension of body, it is assumed that it is n, then corresponding two dimension bianry image is also n, each two dimension binary map
As coplanar with corresponding two-dimensional ct image.
Extract the contour line of the two-dimentional bianry image.Extract the profile that obtained contour line is the image after scaling
Line.
In the present embodiment, bianry image is converted by two-dimensional ct image, the bianry image is then filled into building
3D data volume in corresponding position, expansion or rotten is carried out to the 3D data volume respectively according to the needs for extending out or inside contracting
Erosion operation, is finally extracted the contour line of bianry image by dimension, can be enterprising in all directions to multilayer two-dimension faultage image
The different scaling of row.Image-scaling method is easy to operate, and obtained scaled results accuracy is high, the CT being particularly suitable in medicine
With the anisotropy scaling of the tomoscans image such as MR.
Embodiment two
Referring to figure 2., the embodiment of the present invention two is further expanding for embodiment one, and something in common repeats no more, area
It is not, " expansive working is being carried out to the first 3D data volume;Etching operation is carried out to the second 3D data volume " before, also wrap
It includes:
According to the pre-set zoom distance building structural element.Since the direction of pre-determined distance is external vertical with the minimum
The vertical six direction in six faces of cube, so constructing a 3D data volume in the present embodiment as structural element, structural elements
Range size of the element in each dimension is (2*max (X1, X2)+1,2*max (Y1, Y2)+1,2*max (Z1, Z2)+1).
Three-dimensional system of coordinate is constructed by origin of the central point of the structural element.After having constructed three-dimensional system of coordinate, the knot
Constitutive element can be divided into eight parts, and eight parts are located at eight quadrants of three-dimensional system of coordinate.
It is that axial length constructs ellipsoid in the three-dimensional system of coordinate with the pre-set zoom distance, further, respectively three
It ties up in eight quadrants of coordinate system and constructs eighth ellipsoid.Even extending out or inside contract numerical value on the direction of X > 0 is X1's
Distance extends out or inside contracts the distance that numerical value is X2 on the direction of X<0, extend out or inside contract on the direction of Y>0 numerical value be Y1 away from
From, the distance that numerical value is Y2 is extended out or inside contracted on the direction of Y<0, extends out or inside contract the distance that numerical value is Z1 on the direction of Z>0, Z<
Extend out or inside contract the distance that numerical value is Z2 on 0 direction, then in the first quartile of three-dimensional system of coordinate (X > 0, Y > 0, Z > 0), with
X1, Y1, Z1 construct eighth ellipsoid as axial length, and so on, building ellipsoid is also corresponded in other quadrants, i.e., it is each
Ellipsoid size in a quadrant may be different, this and the pre-set zoom distance dependent in all directions.
Judge a pixel of the structural element whether in the ellipsoid;If so, by the picture of a pixel
Plain value is set as 1;If it is not, the pixel value of a pixel is then set as 0.According to mentioned above principle to the structural elements in each quadrant
Element calculates separately pixel value.Then expansive working is carried out to the 3D data volume extended out according to the structural element;
Etching operation is carried out to the 3D data volume inside contracted according to the structural element.
In this implementation, expansion or etching operation are carried out to 3D data volume by one three-dimensional structure element of building, obtained
Image outline edge-smoothing, breakpoint is few.
Embodiment three
Referring to figure 2., the embodiment of the present invention three is a concrete application scene of above-described embodiment, specifically with medical image
In spinal cord faultage image target area anisotropy scaling for be illustrated, can to object region carry out more
Accurate scaling.
Image extend out specifically including:
The object region for specifying a spinal cord image by doctor first, manually or automatically sketches out the wheel of spinal cord image
Profile.Doctor inputs distance X1, X2, Y1, Y2, Z1 and Z2 for extending out, is the value not less than 0, can with round numbers or decimal,
Assuming that its numerical values recited is respectively 4,3,5,2,6,5.Then the big of minimum external cube is calculated according to the size of contour line
It is small, it is assumed that the range of minimum external cube is Extent [6].Minimum external cube is carried out extending out operation specifically:
Extent [0] +=4, Extent [1] -=3, Extent [2] +=5, Extent [3] -=2, Extent [4] +=6, Extent
[5] -=5, then by Extent [6] array round numbers part.One first three-dimensional is constructed according to the Extent [6] extended out
Data volume, the range size on three dimension directions of first 3D data volume are respectively ((Extent [1]-Extent
[0]+1), (Extent [3]-Extent [2]+1), (Extent [5]-Extent [4]+1)), then initialize the one or three dimension
All pixels value according to body is 0.
Then each layer of spinal cord faultage image is mapped as bianry image, the pixel value in contour line and contour line is set as
1, the pixel value outside contour line is set as 0, and the bianry image is filled into the first 3D data volume, when filling, each layer two-value
The relative positional relationship of image is constant, corresponds.
A 3D data volume is constructed as structural element, the range size in three dimensions is (2*max respectively
(X1, X2)+1,2*max (Y1, Y2)+1,2*max (Z1, Z2)+1), as (9,11,13), using the central point of structural element as
Coordinate origin constructs a three-dimensional system of coordinate, then calculates pixel value of the structural element in three-dimensional system of coordinate.To calculate structure
Element makees an eighth ellipsoid, the i.e. axial length of ellipsoid for the pixel value of first quartile, by axial length of X1, Y1, Z1
Respectively 4,5 and 6, if in ellipsoid, the pixel value of the pixel is set for the pixel of the structural element in first quartile
It is 1, if the pixel value of pixel is set as 0 not in ellipsoid.And so on, structural element is calculated in other quadrants
Pixel value.
After the pixel value of structural element has been calculated, expansive working is carried out to the first 3D data volume using structural element.So
The dimension n of 3D data volume is obtained by the n vertical with the dimension two-dimentional binary map according to the dimension after expansion afterwards
Picture.Each two dimension bianry image is coplanar with corresponding two-dimensional ct image.Finally, the contour line of two-dimentional bianry image is extracted,
The corresponding contour line of spinal cord two-dimensional ct image after as extending out.
Image inside contract specifically including:
With image is extended out the difference is that: using the obtained external cube of minimum as the two or three digit
According to body, all pixels value for directly initializing second 3D data volume is 0, then proceeds by other steps.In addition, right
When image is inside contracted, etching operation is carried out to the second 3D data volume.Other steps are corresponding with when extending out to image,
Here it does not just repeat one by one.
Example IV
Referring to figure 4., the embodiment of the present invention four is corresponding with the method for above-described embodiment, is a kind of image target area
Anisotropy panntographic system, specifically include:
First obtains module 1, for obtaining the contour line of multilayer two-dimension faultage image target area, and according to the profile
Line obtains the bianry image of corresponding each layer two-dimensional ct image;
Computing module 2, for the external cube of minimum of the contour line to be calculated;
First operation module 3, for according to contour line on the six direction vertical with the external cube of minimum
Default amplification distance, extends out the external cube of minimum, obtains the first 3D data volume;
Second operation module 4, for using the external cube of minimum as the second 3D data volume;
Module 5 is filled, for the bianry image to be filled into first 3D data volume and the two or three dimension respectively
According to position corresponding with the contour line in body;
Expansion module 6 carries out expansive working for the first 3D data volume, is specifically used for according to structural element to described the
One 3D data volume is expanded.
Corrode module 7, for carrying out etching operation to the second 3D data volume, is specifically used for according to structural element to described
Second 3D data volume carries out etching operation.
Second obtains module 8, for according to the second 3D data volume after the first 3D data volume of expansion and corrosion
Dimension obtains the two-dimentional bianry image vertical with the dimension;
Extraction module 9, for extracting the contour line of the two-dimentional bianry image.
First building module 10, for according to pre-set zoom distance building structural element;
Second building module 11, for constructing three-dimensional system of coordinate by origin of the central point of the structural element;
Constructing module 12, for being that axial length constructs ellipsoid in the three-dimensional system of coordinate with the pre-set zoom distance;
Judgment module 13, for judging a pixel of the structural element whether in the ellipsoid;
First setup module 14, for if so, the pixel value of a pixel is set as 1;
Second setup module 15, for if it is not, the pixel value of a pixel is then set as 0.
Third setup module 16, for first 3D data volume to be neutralized to the picture of pixel in the second 3D data volume
Plain value is set as 0.
In conclusion the anisotropy Zoom method and its system of a kind of image target area provided by the invention, right
Easy to operate when image zooms in and out, obtained scaled results accuracy is high, and the image border after scaling is smooth, and image bone
Frame is continuous, breakpoint is few, the anisotropy scaling of the tomoscans image such as CT and MR for being particularly suitable in medicine.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalents made by bright specification and accompanying drawing content are applied directly or indirectly in relevant technical field, similarly include
In scope of patent protection of the invention.
Claims (10)
1. a kind of anisotropy Zoom method of image target area characterized by comprising
The contour line of multilayer two-dimension faultage image target area is obtained, and corresponding each layer two dimension tomography is obtained according to the contour line
The bianry image of image;
The external cube of minimum of the contour line is calculated;
According to default amplification distance of the contour line on the six direction vertical with the minimum six faces of external cube, to institute
It states minimum external cube to be extended out, obtains the first 3D data volume;
Using the external cube of minimum as the second 3D data volume;
The bianry image is filled into first 3D data volume and the second 3D data volume and the contour line respectively
Corresponding position;
Expansive working is carried out to the first 3D data volume;
Etching operation is carried out to the second 3D data volume;
According to after expansion the first 3D data volume and corrosion after the second 3D data volume dimension, respectively obtain with it is described
The vertical two-dimentional bianry image of dimension;
Extract the contour line of the two-dimentional bianry image.
2. the anisotropy Zoom method of image target area according to claim 1, which is characterized in that described " to
One 3D data volume carries out expansive working;Etching operation is carried out to the second 3D data volume " before, further includes:
According to pre-set zoom distance building structural element;
Three-dimensional system of coordinate is constructed by origin of the central point of the structural element;
It is that axial length constructs ellipsoid in the three-dimensional system of coordinate with the pre-set zoom distance;
Judge a pixel of the structural element whether in the ellipsoid;
If so, the pixel value of a pixel is set as 1;
If it is not, the pixel value of a pixel is then set as 0.
3. the anisotropy Zoom method of image target area according to claim 2, which is characterized in that described " to
One 3D data volume carries out expansive working " specifically: the pixel value for calculating the structural element, according to the structural elements being calculated
The pixel value of element carries out expansive working to first 3D data volume.
4. the anisotropy Zoom method of image target area according to claim 2, which is characterized in that described " to
Two 3D data volumes carry out etching operation " specifically: the pixel value for calculating the structural element, according to the structural elements being calculated
The pixel value of element carries out etching operation to second 3D data volume.
5. the anisotropy Zoom method of image target area according to claim 1-4, which is characterized in that institute
It states and " is filled into the bianry image in first 3D data volume and the second 3D data volume and the contour line pair respectively
Before the position answered " further include: be all provided with the pixel value of pixel in first 3D data volume and the second 3D data volume
It is 0.
6. a kind of anisotropy panntographic system of image target area characterized by comprising
First obtains module, obtains for obtaining the contour line of multilayer two-dimension faultage image target area, and according to the contour line
Take the bianry image of corresponding each layer two-dimensional ct image;
Computing module, for the external cube of minimum of the contour line to be calculated;
First operation module, for being put according to default on the six direction vertical with the external cube of minimum of contour line
Big distance extends out the external cube of minimum, obtains the first 3D data volume;
Second operation module, for using the external cube of minimum as the second 3D data volume;
Module is filled, for the bianry image to be filled into respectively in first 3D data volume and the second 3D data volume
Position corresponding with the contour line;
Expansion module, for carrying out expansive working to the first 3D data volume;
Corrode module, for carrying out etching operation to the second 3D data volume;
Second obtains module, for the one-dimensional of the second 3D data volume according to the first 3D data volume after expansion and after corroding
Degree obtains the two-dimentional bianry image vertical with the dimension;
Extraction module, for extracting the contour line of the two-dimentional bianry image.
7. the anisotropy panntographic system of image target area according to claim 6, which is characterized in that further include:
First building module, for according to pre-set zoom distance building structural element;
Second building module, for constructing three-dimensional system of coordinate by origin of the central point of the structural element;
Constructing module, for being that axial length constructs ellipsoid in the three-dimensional system of coordinate with the pre-set zoom distance;
Judgment module, for judging a pixel of the structural element whether in the ellipsoid;
First setup module, for if so, the pixel value of a pixel is set as 1;
Second setup module, for if it is not, the pixel value of a pixel is then set as 0.
8. the anisotropy panntographic system of image target area according to claim 7, which is characterized in that the bulging die
Block is specifically used for calculating the pixel value of the structural element, according to the pixel value for the structural element being calculated to the described 1st
Dimension data body is expanded.
9. the anisotropy panntographic system of image target area according to claim 7, which is characterized in that the corrosion mode
Block is specifically used for calculating the pixel value of the structural element, according to the pixel value for the structural element being calculated to the described 2nd 3
Dimension data body carries out etching operation.
10. according to the anisotropy panntographic system of image target area described in claim 6-9 any one, feature exists
In further including third setup module, for by the pixel of pixel in first 3D data volume and the second 3D data volume
Value is set as 0.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101142614A (en) * | 2004-09-09 | 2008-03-12 | 奥普提克斯晶硅有限公司 | Single channel image deformation system and method using anisotropic filtering |
CN101802868A (en) * | 2007-09-17 | 2010-08-11 | 皇家飞利浦电子股份有限公司 | A caliper for measuring objects in an image |
JP2010204837A (en) * | 2009-03-02 | 2010-09-16 | Kddi Corp | Featured value extraction device |
CN104657984A (en) * | 2015-01-28 | 2015-05-27 | 复旦大学 | Automatic extraction method of three-dimensional breast full-volume image regions of interest |
-
2017
- 2017-02-09 CN CN201710071472.XA patent/CN106846252B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101142614A (en) * | 2004-09-09 | 2008-03-12 | 奥普提克斯晶硅有限公司 | Single channel image deformation system and method using anisotropic filtering |
CN101802868A (en) * | 2007-09-17 | 2010-08-11 | 皇家飞利浦电子股份有限公司 | A caliper for measuring objects in an image |
JP2010204837A (en) * | 2009-03-02 | 2010-09-16 | Kddi Corp | Featured value extraction device |
CN104657984A (en) * | 2015-01-28 | 2015-05-27 | 复旦大学 | Automatic extraction method of three-dimensional breast full-volume image regions of interest |
Non-Patent Citations (1)
Title |
---|
"Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms";Suzuki K 等;《Medical Physics》;20100531;第2159-2166 * |
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