CN106447631B - The processing method and processing device of image - Google Patents
The processing method and processing device of image Download PDFInfo
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- CN106447631B CN106447631B CN201610831040.XA CN201610831040A CN106447631B CN 106447631 B CN106447631 B CN 106447631B CN 201610831040 A CN201610831040 A CN 201610831040A CN 106447631 B CN106447631 B CN 106447631B
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- 238000012545 processing Methods 0.000 title claims abstract description 21
- 238000003672 processing method Methods 0.000 title claims abstract description 10
- 238000000034 method Methods 0.000 claims abstract description 17
- 239000011159 matrix material Substances 0.000 claims description 55
- 239000003607 modifier Substances 0.000 claims description 20
- 238000012937 correction Methods 0.000 claims description 6
- 238000003745 diagnosis Methods 0.000 abstract description 3
- 230000006870 function Effects 0.000 description 7
- 238000010586 diagram Methods 0.000 description 6
- 238000002597 diffusion-weighted imaging Methods 0.000 description 6
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000008878 coupling Effects 0.000 description 2
- 238000003384 imaging method Methods 0.000 description 2
- 230000033001 locomotion Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 241000167880 Hirundinidae Species 0.000 description 1
- 230000002159 abnormal effect Effects 0.000 description 1
- 210000005252 bulbus oculi Anatomy 0.000 description 1
- 238000013461 design Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/73—Deblurring; Sharpening
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
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Abstract
The present invention provides a kind of processing method and processing devices of image, this method comprises: obtaining the brightness value of each pixel in original image；The artifact in the original image is determined according to the brightness value of multiple pixels, wherein the pixel in the artifact meets preset condition；The artifact is handled to obtain amendment image.The present invention determines artifact position by brightness value, and is modified by the average value of brightness value to artifact, obtains the amendment image of better quality, to image checks to facilitate doctor, and then improve the accuracy of diagnosis.
Description
Technical field
The present invention relates to medical imaging fields, more particularly to a kind of processing method and processing device of image.
Background technique
Diffusion-weighted imaging is a kind of mr imaging technique, which acquires the letter on a line within each period
Number, it is moved if acquiring patient when certain line, can make specifically to acquire abnormal signal, it then can be random on final image
Some linear artifacts (black line or bright line) are generated, this artifact will affect diagnosis image.
The prior art generally avoids the occurrence of artifact by reducing the movement of patient, such as the gap between coil and patient
Cushion is stoppered, or fixes patient with other methods, but this method is difficult to completely eliminate artifact, such as Rotation of eyeball, swallows,
The internal motions such as breathing can not be limited, and constraint can make patient uncomfortable.Fig. 1 be diffusion-weighted in the prior art at
As original image, as shown in Figure 1, there is laterally white bright line in the image.
Aiming at the problem that prior art not can avoid the artifact in diffusion-weighted imaging, industry is not solved preferably at present
Mode.
Summary of the invention
It is an object of that present invention to provide a kind of processing method and processing devices of image, it is intended to which solving the prior art not can avoid more
The problem of dissipating the artifact in weighted imaging.
The present invention provides a kind of processing methods of image, this method comprises:
Obtain the brightness value of each pixel in original image；According to the determination of the brightness value of multiple pixels
Artifact in original image, wherein the pixel in the artifact meets preset condition；The artifact is handled to be repaired
Positive image.
The present invention also provides a kind of processing unit of image, which includes:
Acquiring unit, for obtaining the brightness value of each pixel in original image；Determination unit, for according to multiple described
The brightness value of pixel determines the artifact in the original image, wherein the pixel in the artifact meets pre-
If condition；Processing unit, for handling the artifact to obtain amendment image.
The present invention determines artifact position by brightness value, and is modified by the average value of brightness value to artifact, obtains
The amendment image of better quality, to image is checked, and then improve the accuracy of diagnosis to facilitate doctor.
Detailed description of the invention
Fig. 1 is diffusion-weighted imaging original image in the prior art；
Fig. 2 is the flow chart of the processing method of image in the embodiment of the present invention；
Fig. 3 is the schematic diagram of the partial region brightness value in the embodiment of the present invention in original image；
Fig. 4 is the flow chart that the method for artifact is determined in the embodiment of the present invention；
Fig. 5 is the flow chart that the method for artifact is handled in the embodiment of the present invention；
Fig. 6 is the diffusion-weighted imaging amendment image in the embodiment of the present invention；
Fig. 7 is the structural block diagram of the processing unit of image in the embodiment of the present invention；
Fig. 8 is the structural block diagram of the processing unit of image in the preferred embodiment of the present invention.
Specific embodiment
In order to which technical problems, technical solutions and advantageous effects to be solved by the present invention are more clearly understood, below in conjunction with
Accompanying drawings and embodiments, the present invention will be described in further detail.It should be appreciated that specific embodiment described herein is only used
To explain the present invention, it is not intended to limit the present invention.
The embodiment of the invention provides a kind of processing method of image, Fig. 2 is the processing side of image in the embodiment of the present invention
The flow chart of method.As shown in Fig. 2, this method includes S202 to step S206.
Step S202 obtains the brightness value of each pixel in original image.
Image is all to be made of pixel, therefore after obtaining original image, can further obtain each picture in the image
The brightness value of vegetarian refreshments.
Fig. 3 is the schematic diagram of the partial region brightness value in the embodiment of the present invention in original image, as shown in figure 3, one
Grid is a pixel, has indicated brightness value on each pixel.Color is more biased to white, and the brightness value of pixel is got over
It is high；Color is more biased to black, and the brightness value of pixel is lower.
Step S204 determines the artifact in original image according to the brightness value of multiple pixels, wherein the pixel in artifact
Point meets preset condition.
The brightness value of artifact can be clearly distinguishable from the brightness value of surrounding, therefore can carry out area to artifact from numerical values recited
Point.
Fig. 4 is the flow chart that the method for artifact is determined in the embodiment of the present invention, as shown in figure 4, this method includes following step
It is rapid:
Step S402 obtains corresponding with original image the first matrix, wherein and original image has M*N pixel, and first
Matrix is M*N matrix, and the numerical value of 1 row kth 2 of kth column is the pixel of 1 row kth 2 of kth column in original image in the first matrix
Brightness value, M and N are the integer greater than 1, and k1 and k2 are the integer greater than 2, k1 < M, k2 < N.
Original image is made of M*N pixel, can be constructed and original image by putting in order for a pixel
Corresponding matrix, i.e., the first matrix data in the present embodiment, the pixel on 1 row k2 column of original image kth are (k1, k2).
Step S404 obtains the second matrix, wherein the second matrix is M*N matrix, the number of M row Nth column in the second matrix
Value is the absolute value of the second-order partial differential coefficient of the numerical value of M row Nth column in the first matrix.
Since the brightness value of the pixel at artifact is obviously bigger than adjacent row, the present embodiment can be known from Mathematical Morphology
It Chu not linear artifact in image.
Specifically, each brightness value in the first matrix can be calculated to obtain in the absolute value of the second-order partial differential coefficient in preset direction
To the numerical value in the second matrix.Remember that the second matrix is data2, data2 is the absolute value of the second-order partial differential coefficient of data, second order local derviation
Number is for indicating the size changed in a direction, and second-order partial differential coefficient at this time is possible, and there are two directions, laterally or longitudinally, but this
Original image in embodiment is only likely to occur the artifact in a direction, i.e., the side for the scanning imagery being arranged in Image-forming instrument
To.The direction of the present embodiment Instrumental scanning imagery be laterally, when there is lateral artifact, this lateral artifact and its top and
The brightness of the adjacent two lines item in lower section has a significant difference, therefore the scanning imagery in the direction and Image-forming instrument of second-order partial differential coefficient
Direction is vertical, i.e. the direction of second order local derviation is longitudinal.
Then data2 (k1, k2)=abs (data (k1, k2) * 2-data (k1-1, k2)-data (k1+1, k2))；
Step S406, when continuous multiple numerical value are greater than preset threshold T, determines continuous multiple numerical value in the second matrix
The lines that corresponding pixel is linked to be in original image are artifact.
If data2 (k1, k2) > T, it may be considered that this point is a bright spot or dim spot for column.And if
Continuous several points are all bright spots or are all dim spots in a line, then these continuous points be exactly our target problems bright line or
Person's concealed wire, i.e. artifact.
Step S206 handles artifact to obtain amendment image.
After the position for determining artifact, artifact is handled, the amendment image of better quality can be obtained, for hospital and
Patient checks.
Fig. 5 is the flow chart that the method for artifact is handled in the embodiment of the present invention, as shown in figure 5, this method includes following step
It is rapid:
Step S502, obtains the intensity modifier value of each pixel in artifact respectively, and intensity modifier value is multiple brightness values
Average value, multiple brightness values include: the pixel in artifact brightness value and the pixel it is multiple in artifact vertical direction
The brightness value of pixel.
With the brightness value at brightness value " neutralization " artifact of points several near artifact, it can be deduced that intensity modifier value.
Specifically, when multiple numerical value continuous in the second matrix are greater than preset threshold T, according to the average value of multiple brightness values
The intensity modifier value of each pixel in artifact is obtained, multiple brightness values include: the brightness value and the picture of the pixel in artifact
Brightness value of the vegetarian refreshments in the vertically adjacent two sides pixel of artifact.
A data3 is constructed first, data3 (k1, k2)=data2 (k1, k2) is enabled, if data2 (k1, k2) > T&
Data2 (k1, k2-1) > T&data2 (k1, k2+1) > T is then to meeting (k1, the k2) of condition assignment again in data3.
Enable data3 (k1, k2)=
Median (data2 (k1-1, k2), data2 (k1, k2), data2 (k1+1, k2)),
Enable data3 (k1, k2-1)=
Median (data2 (k1-1, k2-1), data2 (k1, k2-1), data2 (k1+1, k2-1)),
Enable data3 (k1, k2+1)=
median(data2(k1-1,k2+1),data2(k1,k2+1),data2(k1+1,k2+1))。
Data3 (k1, k2), data3 (k1, k2-1) and data3 (k1, k2+1) are intensity modifier value.
Step S504 carries out brightness correction to pixel according to intensity modifier value, obtains amendment image.
Brightness correction is carried out to the artifact in original image according to the intensity modifier value in data3, correction map can be obtained
Picture is checked for doctor and patient.Fig. 6 is the diffusion-weighted imaging amendment image in the embodiment of the present invention.As shown, passing through this
Inventive embodiments, artifact significantly reduces in diffusion-weighted imaging, and picture quality significantly improves.
The embodiment of the invention provides a kind of processing units of image, and to execute the processing method of above-mentioned image, Fig. 7 is this
The structural block diagram of the processing unit of image in inventive embodiments, as shown in fig. 7, the device includes acquiring unit 710, determination unit
720 and processing unit 730.
Acquiring unit 710 is used to obtain the brightness value of each pixel in original image.
Determination unit 720 is used to determine the artifact in original image according to the brightness value of multiple pixels, wherein in artifact
Pixel meet preset condition.
Processing unit 730 is for handling artifact to obtain amendment image.
Fig. 8 is the structural block diagram of the processing unit of image in the preferred embodiment of the present invention, as shown in figure 8, the device is in Fig. 7
On the basis of further include such as flowering structure:
Determination unit 720 includes:
First obtains module 721, for obtaining the first matrix corresponding with original image, wherein original image has M*N
Pixel, the first matrix are M*N matrix, and the numerical value that Mk1 row kth 2 arranges in the first matrix is 1 row kth 2 of kth in original image
The brightness value of the pixel of column, M and N are the integer greater than 1, and k1 and k2 are the integer greater than 2, k1 < M, k2 < N.
Second obtains module 722, for obtaining the second matrix, wherein the second matrix is M*N matrix, M in the second matrix
The numerical value of row Nth column is the absolute value of the second-order partial differential coefficient of the numerical value of M row Nth column in the first matrix.
Determining module 723, for when continuous multiple numerical value are greater than preset threshold T, determining continuous more in the second matrix
A numerical value lines that corresponding pixel is linked to be in original image are artifact.
Second, which obtains module 722, includes:
First acquisition submodule 7221, calculate the first matrix in each brightness value preset direction second-order partial differential coefficient it is exhausted
To value, the numerical value in the second matrix is obtained.
Processing unit 730 includes:
Third obtains module 731, and for obtaining the intensity modifier value of each pixel in artifact respectively, intensity modifier value is more
The average value of a brightness value, multiple brightness values include: the pixel in artifact brightness value and the pixel it is vertical in artifact
The brightness value of multiple pixels on direction.
4th obtains module 732, for carrying out brightness correction to pixel according to intensity modifier value, obtains amendment image.
Third obtains module 731
Second acquisition submodule 7311 is used for when multiple numerical value continuous in the second matrix are greater than preset threshold T, according to more
The average value of a brightness value obtains the intensity modifier value of each pixel in artifact, and multiple brightness values include: the pixel in artifact
Brightness value and the pixel the vertically adjacent two sides pixel of artifact brightness value.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit division progress for example, in practical application, can according to need and by above-mentioned function distribution by different functions
Unit is completed, i.e., the internal structure of device is divided into different functional unit or module, with complete it is described above whole or
Person's partial function.Each functional unit in embodiment can integrate in one processing unit, and it is independent to be also possible to each unit
It is physically present, can also be integrated in one unit with two or more units, above-mentioned integrated unit both can be using hard
The form of part is realized, can also be realized in the form of software functional units.In addition, the specific name of each functional unit is also
For the ease of mutually distinguishing, the protection scope being not intended to limit this application.The specific work process of unit in above-mentioned apparatus, can
With with reference to the corresponding process in aforementioned device embodiment, details are not described herein.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Described function can be realized using different device to each specific application, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device and device can pass through others
Mode is realized.For example, the apparatus embodiments described above are merely exemplary, for example, the division of module or unit, only
For a kind of logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine
Or it is desirably integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed phase
Coupling or direct-coupling or communication connection between mutually can be through some interfaces, the INDIRECT COUPLING or communication of device or unit
Connection can be electrical property, mechanical or other forms.
Unit may or may not be physically separated as illustrated by the separation member, shown as a unit
Component may or may not be physical unit, it can and it is in one place, or may be distributed over multiple networks
On unit.It can some or all of the units may be selected to achieve the purpose of the solution of this embodiment according to the actual needs.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
It, can if integrated unit is realized in the form of SFU software functional unit and when sold or used as an independent product
To be stored in a computer readable storage medium.Based on this understanding, the technical solution essence of the embodiment of the present invention
On all or part of the part that contributes to existing technology or the technical solution can be with the shape of software product in other words
Formula embodies, which is stored in a storage medium, including some instructions are used so that a calculating
It is real that machine equipment (can be personal computer, server or the network equipment etc.) or processor (processor) execute the present invention
Apply all or part of the steps of each embodiment device of example.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only storage
Device (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or light
The various media that can store program code such as disk.
The above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations；Although with reference to the foregoing embodiments
Invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each implementation
Technical solution documented by example is modified or equivalent replacement of some of the technical features；And these modification or
Replacement, the spirit and scope of each embodiment technical solution of the embodiment of the present invention that it does not separate the essence of the corresponding technical solution.
The above is merely preferred embodiments of the present invention, be not intended to limit the invention, it is all in spirit of the invention and
Made any modifications, equivalent replacements, and improvements etc., should all be included in the protection scope of the present invention within principle.
Claims (6)
1. a kind of processing method of image characterized by comprising
Obtain the brightness value of each pixel in original image；
The artifact in the original image is determined according to the brightness value of multiple pixels, wherein in the artifact
The pixel meets preset condition；The artifact is handled to obtain amendment image；
Artifact in the determination original image specifically:
The brightness value of artifact can be clearly distinguishable from the brightness value of surrounding, therefore can distinguish to artifact from numerical values recited；
It is described to handle the artifact to obtain amendment image and include:
The intensity modifier value of each pixel in the artifact is obtained respectively, and the intensity modifier value is being averaged for multiple brightness values
Value, the brightness value and the pixel that the multiple brightness value includes: the pixel in the artifact are in the puppet
The brightness value of multiple pixels in shadow vertical direction；
Brightness correction is carried out to the pixel according to the intensity modifier value, obtains the amendment image；
The brightness value according to multiple pixels determines that the artifact in the original image includes:
Obtaining corresponding with the original image the first matrix, wherein the original image has M*N pixel, and described first
Matrix is M*N matrix, and the numerical value of 1 row kth 2 of kth column is 1 row kth 2 of kth column in the original image in first matrix
The brightness value of pixel, M and N are the integer greater than 1, and k1 and k2 are the integer greater than 2, k1 < M, k2 < N；
The second matrix is obtained, wherein second matrix is M*N matrix, the numerical value of M row Nth column is institute in second matrix
State the absolute value of the second-order partial differential coefficient of the numerical value of M row Nth column in the first matrix；
In second matrix, when continuous multiple numerical value are greater than preset threshold T, determine continuous multiple numerical value described
The lines that corresponding pixel is linked to be in original image are the artifact.
2. the method as described in claim 1, which is characterized in that obtaining the second matrix includes:
The absolute value for calculating second-order partial differential coefficient of each brightness value in preset direction in first matrix obtains second square
Numerical value in battle array.
3. the method as described in claim 1, which is characterized in that obtain the intensity modifier value of each pixel in the artifact respectively
Include:
When multiple numerical value continuous in second matrix are greater than preset threshold T, obtained according to the average value of multiple brightness values
The intensity modifier value of each pixel in the artifact is taken, the multiple brightness value includes: the pixel in the artifact
The brightness value of the brightness value and the pixel in the vertically adjacent two sides pixel of the artifact.
4. a kind of processing unit of image characterized by comprising
Acquiring unit, for obtaining the brightness value of each pixel in original image；
Determination unit, for determining the artifact in the original image according to the brightness value of multiple pixels, wherein
The pixel in the artifact meets preset condition；
Processing unit, for handling the artifact to obtain amendment image；
Artifact in the determination original image specifically:
The brightness value of artifact can be clearly distinguishable from the brightness value of surrounding, therefore can distinguish to artifact from numerical values recited；
The processing unit includes:
Third obtains module, and for obtaining the intensity modifier value of each pixel in the artifact respectively, the intensity modifier value is
The average value of multiple brightness values, the multiple brightness value include: the brightness value of the pixel in the artifact, and
The brightness value of the pixel multiple pixels in the artifact vertical direction；
4th obtains module, for carrying out brightness correction to the pixel according to the intensity modifier value, obtains the amendment
Image；
The determination unit includes:
First obtains module, for obtaining the first matrix corresponding with the original image, wherein the original image has M*N
A pixel, first matrix are M*N matrix, and the numerical value that Mk1 row kth 2 arranges in first matrix is the original graph
The brightness value of the pixel of 1 row kth 2 of kth column as in, M and N are the integer greater than 1, and k1 and k2 are the integer greater than 2, k1 < M,
k2<N；
Second obtains module, for obtaining the second matrix, wherein second matrix is M*N matrix, M in second matrix
The numerical value of row Nth column is the absolute value of the second-order partial differential coefficient of the numerical value of M row Nth column in first matrix；
Determining module, for when continuous multiple numerical value are greater than preset threshold T, determining described continuous in second matrix
Multiple numerical value lines that corresponding pixel is linked to be in the original image are the artifact.
5. device as claimed in claim 4, which is characterized in that described second, which obtains module, includes:
First acquisition submodule, calculate each brightness value in first matrix preset direction second-order partial differential coefficient it is absolute
Value obtains the numerical value in second matrix.
6. device as claimed in claim 4, which is characterized in that the third obtains module and includes:
Second acquisition submodule is used for when multiple numerical value continuous in second matrix are greater than preset threshold T, according to multiple institutes
The average value for stating brightness value obtains the intensity modifier value of each pixel in the artifact, and the multiple brightness value includes: the puppet
The brightness value and the pixel of the pixel on shadow are in the vertically adjacent two sides pixel of the artifact
Brightness value.
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| CN102402787A (en) * | 2010-09-19 | 2012-04-04 | 上海西门子医疗器械有限公司 | System and method for detecting strip artifact in image |
| CN103593826A (en) * | 2013-10-22 | 2014-02-19 | 南方医科大学 | Image ring artifact correcting method |
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| US8768032B2 (en) * | 2012-07-06 | 2014-07-01 | Morpho Detection, Llc | Method for correction of artifacts from edge detectors in compact geometry CT |
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|---|---|---|---|---|
| CN101105863A (en) * | 2006-07-10 | 2008-01-16 | 西门子（中国）有限公司 | Localized anti-aliasing method based on edge detection |
| CN102402787A (en) * | 2010-09-19 | 2012-04-04 | 上海西门子医疗器械有限公司 | System and method for detecting strip artifact in image |
| CN103593826A (en) * | 2013-10-22 | 2014-02-19 | 南方医科大学 | Image ring artifact correcting method |
| CN105701778A (en) * | 2016-01-11 | 2016-06-22 | 赛诺威盛科技（北京）有限公司 | Method of removing metal artifact from CT image |
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