CN108287325A - A kind of image rebuilding method, device and equipment - Google Patents
A kind of image rebuilding method, device and equipment Download PDFInfo
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- CN108287325A CN108287325A CN201810004857.9A CN201810004857A CN108287325A CN 108287325 A CN108287325 A CN 108287325A CN 201810004857 A CN201810004857 A CN 201810004857A CN 108287325 A CN108287325 A CN 108287325A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
- G01R33/20—Arrangements or instruments for measuring magnetic variables involving magnetic resonance
- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
- G01R33/48—NMR imaging systems
- G01R33/54—Signal processing systems, e.g. using pulse sequences ; Generation or control of pulse sequences; Operator console
- G01R33/56—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution
- G01R33/565—Correction of image distortions, e.g. due to magnetic field inhomogeneities
Abstract
The invention discloses a kind of image rebuilding methods, device and equipment, obtain the collected first coil data of array coil, the first susceptibility modal data is calculated according to the first coil data, further obtain second loop data in collected default second visual field of array coil, with the tertiary coil data in collected default second visual field of big body coil, the second susceptibility modal data is calculated according to the second loop data and tertiary coil data, the second susceptibility modal data and the first susceptibility modal data are combined, obtain susceptibility modal data, image reconstruction is carried out using the susceptibility modal data, it is preferable can to obtain uniformity, and there is no the reconstruction images of artifact.
Description
Technical field
This application involves data processing fields, and in particular to a kind of image rebuilding method, device and equipment.
Background technology
The characteristics of magnetic resonance equipment is that sweep time is long, regardless of being in fast imaging or to improve image quality side
Face is required for accelerating the image taking speed of magnetic resonance equipment.
SENSE reduces sweep time for industry more popular spatial characteristics using coil channel receiver
A kind of parallel imaging technique.Specifically, when being scanned, by reducing phase code step number, accelerate magnetic resonance equipment at
As speed, the image of a wound is scanned, and then using the spatial characteristics of coil channel receiver to the image of wound
It carries out wound to handle, reconstructs a complete image.
Wherein, wound is carried out to the image of folding to handle, determine using the spatial characteristics of coil channel receiver
The picture quality that reconstructs, and the spatial characteristics of coil channel receiver usually use susceptibility modal data to characterize, so,
How key influence factor that accurate susceptibility modal data be image reconstruction is obtained.
Invention content
In view of this, this application provides a kind of image rebuilding method, device and equipment, accurate sensitivity can be obtained
Modal data is spent, and then obtains the preferable reconstruction image of quality.
In a first aspect, the present invention provides a kind of image rebuilding method, the method is applied to magnetic resonance equipment, the magnetic
Resonant device has array coil and big body coil, is scanned to target object using the magnetic resonance equipment, the method
Including：
The first coil data in collected default first visual field of the array coil are obtained, and are based on the first coil
Data calculate susceptibility modal data, as the first susceptibility modal data；
The second loop data and the big body coil for obtaining collected default second visual field of the array coil are adopted
The tertiary coil data in default second visual field collected, and it is based on second loop data and the tertiary coil data
Susceptibility modal data is calculated, as the second susceptibility modal data；
According to the second susceptibility modal data, calculates susceptibility and compose correction data；
Correction data is composed using the susceptibility, the first susceptibility modal data is corrected, after being corrected
Susceptibility modal data；
Image reconstruction is carried out using the susceptibility modal data after the correction.
Optionally, described to calculate susceptibility modal data based on the first coil data, as the first susceptibility modal data,
Including：
The quadratic sum for calculating the absolute value of the first coil data, as the first median；
By the quotient of the first coil data and first median, as the first susceptibility modal data.
Optionally, described that susceptibility modal data is calculated based on second loop data and the tertiary coil data, make
For the second susceptibility modal data, including：
By the quotient of second loop data and the tertiary coil data, as the second susceptibility modal data.
Optionally, described to calculate susceptibility according to the second susceptibility modal data and compose correction data, including：
The quadratic sum for calculating the absolute value of the second susceptibility modal data, as the second median；
Extraction of square root processing is carried out to second median, obtains susceptibility spectrum correction data.
Optionally, described to compose correction data using the susceptibility, the first susceptibility modal data is corrected, is obtained
Susceptibility modal data after to calibration, including：
The first susceptibility modal data and susceptibility spectrum correction data are subjected to dot product processing, after obtaining calibration
Susceptibility modal data.
Optionally, described to compose correction data using the susceptibility, the first susceptibility modal data is corrected, is obtained
Before susceptibility modal data after to calibration, further include：
To the susceptibility spectrum correction data pre-process, it is described pretreatment include fitting of a polynomial, low-pass filtering and
Or threshold process.
Second aspect, the present invention provides a kind of equipment for reconstructing image, described device is applied to magnetic resonance equipment, the magnetic
Resonant device has array coil and big body coil, is scanned to target object using the magnetic resonance equipment, described device
Including：
First susceptibility Data acquisition unit, for obtaining collected default first visual field of the array coil
One loop data, and susceptibility modal data is calculated based on the first coil data, as the first susceptibility modal data；
Second susceptibility Data acquisition unit, for obtaining collected default second visual field of the array coil
Two coil data and the tertiary coil data in collected default second visual field of the big body coil, and based on described
Second loop data and the tertiary coil data calculate susceptibility modal data, as the second susceptibility modal data；
Susceptibility composes correction data acquiring unit, for according to the second susceptibility modal data, calculating susceptibility and composing school
Correction data；
Susceptibility modal data corrects unit, for composing correction data using the susceptibility, is composed to first susceptibility
Data are corrected, the susceptibility modal data after being corrected；
Image reconstruction unit, for carrying out image reconstruction using the susceptibility modal data after the correction.
Optionally, the first susceptibility Data acquisition unit includes：
First susceptibility modal data computation subunit, the quadratic sum of the absolute value for calculating the first coil data,
As the first median；And by the quotient of the first coil data and first median, as the first susceptibility modal data.
Optionally, the second susceptibility Data acquisition unit includes：
Second susceptibility modal data computation subunit is used for second loop data and the tertiary coil data
Quotient, as the second susceptibility modal data.
Optionally, the susceptibility spectrum correction data acquiring unit includes：
Susceptibility composes correction data computation subunit, square of the absolute value for calculating the second susceptibility modal data
With as the second median；And extraction of square root processing is carried out to second median, obtain susceptibility spectrum correction data.
Optionally, the susceptibility modal data correction unit includes：
Susceptibility modal data computation subunit, for the first susceptibility modal data and the susceptibility to be composed correction number
According to dot product processing is carried out, the susceptibility modal data after calibration is obtained.
Optionally, described image reconstructing apparatus further includes：
Susceptibility composes correction data pretreatment unit, described for being pre-processed to susceptibility spectrum correction data
Pretreatment include fitting of a polynomial, low-pass filtering and or threshold process.
The third aspect, the present invention provides a kind of image reconstruction device, the equipment includes：Memory and processor,
Said program code is transferred to the processor by the memory for storing program code；
The processor is used to, according to the instruction in said program code, execute following steps：
The first coil data in collected default first visual field of the array coil are obtained, and are based on the first coil
Data calculate susceptibility modal data, as the first susceptibility modal data；
The second loop data and the big body coil for obtaining collected default second visual field of the array coil are adopted
The tertiary coil data in default second visual field collected, and it is based on second loop data and the tertiary coil data
Susceptibility modal data is calculated, as the second susceptibility modal data；
According to the second susceptibility modal data, calculates susceptibility and compose correction data；
Correction data is composed using the susceptibility, the first susceptibility modal data is corrected, after being corrected
Susceptibility modal data；
Image reconstruction is carried out using the susceptibility modal data after the correction.
Image rebuilding method provided by the present application obtains the collected first coil data of array coil, according to the First Line
The number of turns is according to the first susceptibility modal data is calculated, since first coil data are the data acquired merely with array coil, because
This, if directly being rebuild to image using the first susceptibility modal data, artifact, but base is not present in obtained reconstruction image
In the reason that the collected data uniformity of array coil is poor, the reconstruction image uniformity is poor, and central area is dark.In order to
The better reconstruction image of display effect is obtained, it is collected that image rebuilding method provided by the present application further obtains array coil
Second loop data in default second visual field, and the collected tertiary coil data for presetting second visual field of big body coil, according to
The second susceptibility modal data is calculated in second loop data and tertiary coil data, by the second susceptibility modal data and first
Susceptibility modal data is combined, and obtains susceptibility modal data, since the second susceptibility modal data is based on array coil and big
What the data of body coil acquisition were calculated, the big collected data of body coil can improve the collected data of array coil
Uniformity, so, the uniformity of reconstruction image can be improved in conjunction with the second susceptibility modal data, therefore, composed using the susceptibility
Data carry out image reconstruction, can obtain that uniformity is preferable, and there is no the reconstruction images of artifact.
Description of the drawings
In order to more clearly explain the technical solutions in the embodiments of the present application, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present application, for
For those of ordinary skill in the art, without having to pay creative labor, it can also be obtained according to these attached drawings
His attached drawing.
Fig. 1 is the schematic diagram that the scanning result that image scanning obtains is carried out using SENSE technologies；
Fig. 2 is the schematic diagram for carrying out image reconstruction to SENSE technology scanning results using parallel imaging technique；
Fig. 3 is to carry out image scanning, the image data schematic diagram that each coil channel receiver receives using SENSE technologies；
Fig. 4 is to carry out the schematic diagram of the process of image reconstruction using parallel imaging technique；
Fig. 5 is a kind of flow chart of image rebuilding method provided by the embodiments of the present application；
Fig. 6 is a kind of flow chart of image rebuilding method in concrete application scene provided by the embodiments of the present application；
Fig. 7 is the reconstruction image schematic diagram obtained using image rebuilding method provided by the embodiments of the present application；
Fig. 8 is a kind of structure chart of equipment for reconstructing image provided by the embodiments of the present application；
Fig. 9 is a kind of hardware architecture diagram of image reconstruction device provided by the embodiments of the present application.
Specific implementation mode
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
Since magnetic resonance equipment has the characteristics that sweep time length, when being scanned using magnetic resonance equipment, it may appear that
The problems such as image taking speed is slow, image quality is low, therefore, in order to solve problem due to magnetic resonance equipment sweep time length,
The existing sweep time for generally using SENSE technologies to reduce magnetic resonance equipment in industry.
SENSE technologies utilize the spatial characteristics of coil channel receiver, reduce the sweep time of magnetic resonance equipment.Tool
Body, when being scanned, by reducing phase code step number, accelerates the image taking speed of magnetic resonance equipment, but reduce phase
Step number is encoded, it is the image of a wound that can lead to the image that scanning obtains.Therefore, it is also desirable to according to coil channel receiver
Spatial characteristics carry out wound to the image of wound and handle, to reconstruct a complete image that wound is not present.
In order to make it easy to understand, SENSE technologies are introduced in conjunction with attached drawing：
As shown in Figure 1, being directed to a width magnetic resonance image, under the premise of not changing scanning resolution, phase code is reduced
Wound can occur for step number, magnetic resonance image.As shown in Fig. 2, total to there is the magnetic of wound using the parallel imaging technique of image space
The image that shakes is rebuild, and the image that wound is completely not present in a width is obtained.
Wherein, using the parallel imaging technique of image space basis is needed to there is the magnetic resonance image of wound to rebuild
The spatial characteristics of each coil channel receiver, are handled there is the magnetic resonance image of wound to carry out wound, to rebuild figure
Picture.
Specifically, each coil channel receiver is all different location in space, therefore each line can be led to
The gray value for enclosing the image data received by duct receiver is different, in the picture number that each coil channel receiver receives
In, closer to coil channel receiver, the gray value of image data is brighter, on the contrary, further away from coil channel receiver, image
The gray value of data is darker.Since location is different in space for each coil channel receiver, it is swept for same
Object is retouched, the gray value of different coil channel receiver the image collected data is different.Accordingly for the image for having wound
Data, can according to the difference for the wound image data gray value that each coil channel receiver receives, solve one it is complete
It is whole that there is no the images of wound.
As shown in figure 3, being the spatial position schematic diagram of coil channel receiver and scanned human body on the left of Fig. 3, coil is logical
Road receiver 1 is located at the front of scanned human body, and coil channel receiver 2 is located at the rear of scanned human body.On the right side of Fig. 3 respectively
The image data that the image data and coil channel receiver 2 received for coil channel receiver 1 receives, can by observation
To find, since the location of coil channel receiver 1 and coil channel receiver 2 are different, each coil channel receiver
The gray value of received image data is also different, in the image data that coil duct receiver 1 receives, the ash in left side
Degree is brighter, and the gray scale on right side is dark, and in the image data that coil duct receiver 2 receives, the gray scale in left side is dark, right side
Gray scale it is brighter.
As shown in figure 4, after reducing phase code step number, wound can occur for image, but since each coil channel receives
Location is different in space for device, and the gray value for the wound image data that each coil channel receiver receives is also endless
It is complete the same, it can correspondingly be built based on the difference of the gray value for the wound image data that each coil channel receiver receives
The vertical susceptibility corresponding to each wound image data is composed, and is carried out at wound to image using the susceptibility of spatial distribution spectrum
Reason, with reconstruction image.
Specifically, going the method for wound processing reconstructed image as follows：
1) it calculates susceptibility and composes S.
2) it calculates wound point and corresponds to susceptibility spectrum, calculation formula is as follows：
Sγ,ρ=Sγ(rρ) formula (5)
Wherein, γ represents coil channel, and ρ represents wound point, rρRepresent wound point position.
3) it is directed to each wound point position rρ, there is following formula：
A=Sγ,ρU formula (6)
Wherein, a is wound image data, being received such as 4 figure coil duct receivers 1 or coil channel receiver 2
Wound image；U is reconstructed image data.
The formula that reconstructed image data u is calculated using the least square method of regularization is as follows：
Wherein, ψ-1For noise matrix, R is regularization factors, and H is used to indicate conjugate transposition,
For to Sγ,ρCarry out conjugate transposition processing.
In order to obtain the better magnetic resonance imaging image of display effect, image rebuilding method provided by the present application uses one
The new susceptibility of kind composes computational methods, composes computational methods based on the susceptibility, carries out wound to wound image and handle, reconstruction is swept
Trace designs picture.The image rebuilding method is applied to magnetic resonance equipment, which has array coil and big body coil, utilizes
The magnetic resonance equipment is scanned target object.
Specifically, the first coil data in collected default first visual field of array coil are obtained, according to the first coil
Data calculate the first susceptibility modal data；Second loop data in collected default second visual field of array coil is obtained, and
The tertiary coil data in big collected default second visual field of body coil, according to the second loop data and tertiary coil data, meter
Calculate the second susceptibility modal data；According to the second susceptibility modal data, calculates susceptibility and compose correction data；Recycle susceptibility spectrum
Correction data, the first susceptibility modal data of correction obtain susceptibility modal data, in turn, image are carried out using the susceptibility modal data
It rebuilds.
Image rebuilding method provided by the present application obtains the collected first coil data of array coil, according to the First Line
The number of turns is according to the first susceptibility modal data is calculated, since first coil data are the data acquired merely with array coil, because
This, is if directly being rebuild to image using the first susceptibility modal data, although artifact is not present in obtained reconstruction image,
It is based on the poor reason of the collected data uniformity of array coil, the reconstruction image uniformity is poor, and central area is dark.
The better reconstruction image of display effect in order to obtain, image rebuilding method provided by the present application further obtain array coil acquisition
Second loop data in default second visual field arrived, and the collected tertiary coil data for presetting second visual field of big body coil,
The second susceptibility modal data is calculated according to the second loop data and tertiary coil data, by the second susceptibility modal data with
First susceptibility modal data is combined, and obtains susceptibility modal data, since the second susceptibility modal data is to be based on array coil
It is calculated with the data of big body coil acquisition, the big collected data of body coil can improve the collected number of array coil
According to uniformity, so, the uniformity of reconstruction image can be improved in conjunction with the second susceptibility modal data, therefore, utilize the sensitivity
It spends modal data and carries out image reconstruction, can obtain that uniformity is preferable, and there is no the reconstruction images of artifact.
Embodiment of the method one
It is a kind of flow chart of image rebuilding method provided in this embodiment referring to Fig. 5, which is applied to
Magnetic resonance equipment, the magnetic resonance equipment have array coil and big body coil, are carried out to target object using the magnetic resonance equipment
When scanning, which includes：
Step 501：The first coil data in collected default first visual field of array coil are obtained, and are based on first coil
Data calculate susceptibility modal data, as the first susceptibility modal data.
In practical application, when treating scanned position using magnetic resonance equipment and being scanned, it is first determined default first regards
Open country, and the First Line number of turns in first visual field is preset at this acquiring position to be scanned using the array coil in the magnetic resonance equipment
According to rear, the first coil data are obtained, are used for the calculating of susceptibility modal data.
The first coil data for obtaining collected default first visual field of array coil, will be based on the first coil data meter
Obtained susceptibility modal data, as the first susceptibility modal data, specifically, as quick in calculated first based on first coil data
Shown in the formula (1) of sensitivity modal data, the quadratic sum of the absolute value of first coil data is calculated, as the first median；By
The quotient of one loop data and the first median, as the first susceptibility modal data：
Wherein, SLγIndicate the first susceptibility modal data, CγIndicate first coil data.
It should be noted that including γ coil channel receiver, first coil data C in array coilγRepresent battle array
The loop data that γ coil channel receiver collects in alignment circle, therefore, CγTo correspond to γ line in array coil
γ matrix of the loop data that circle duct receiver is acquired.Correspondingly, the first susceptibility spectrum being calculated through formula (1)
Data SLγ, represent the susceptibility modal data of γ coil channel receiver in array coil, therefore, SLγTo correspond to array lines
γ matrix of γ coil channel receiver susceptibility modal data in circle.
Further, it is also possible to using other methods, the first susceptibility modal data is calculated according to first coil data, it is not right herein
The acquisition methods of first susceptibility modal data carry out any restriction.
Step 502：Second loop data in collected default second visual field of array coil is obtained, and big body coil is adopted
The tertiary coil data in default second visual field collected, and susceptibility spectrum is calculated based on the second loop data and tertiary coil data
Data, as the second susceptibility modal data.
In practical applications, it when treating scanned position using magnetic resonance equipment and being scanned, predefines default second and regards
Open country is scanned the position to be scanned in default second visual field using the array coil in magnetic resonance equipment, to adopt
Collection obtains the second loop data, then switches to big body coil by array coil, recycles the big body coil in magnetic resonance equipment
Position to be scanned in default second visual field is scanned, to collect tertiary coil data.The present invention is implemented
Example is based on collected second loop data and tertiary coil data, calculates the second susceptibility modal data.
Second loop data in collected default second visual field of array coil is obtained, and body coil is collected default greatly
The tertiary coil data in second visual field, according to the second loop data and tertiary coil data, when calculating the second susceptibility modal data,
Specifically can be by the quotient of the second loop data and tertiary coil data, as the second susceptibility modal data, formula is as follows：
Wherein, SGγIndicate the second susceptibility modal data, C 'γIndicate that the second loop data, Q indicate tertiary coil data.
It should be noted that including γ coil channel receiver, the second loop data C ' in array coilγRepresent battle array
When γ coil channel receiver scanning is in the position to be scanned in the preset big visual field in alignment circle, collected γ coil
Data, therefore, C 'γFor the γ matrix corresponding to the loop data that all coils duct receiver is acquired in array coil.
And in big body coil only include a coil channel receiver, therefore, it is logical that tertiary coil data Q represents the coil in big body coil
When road receiver scanning is in the position to be scanned in the preset big visual field, collected loop data, therefore, tertiary coil data
Q is the matrix corresponding to the collected loop data of coil channel receiver in the big body coil.
Correspondingly, the second susceptibility modal data SG being calculated through formula (2)γ, still represent γ line in array coil
Enclose the susceptibility modal data of duct receiver, therefore, SGγTo correspond to all coils duct receiver susceptibility in array coil
γ matrix of modal data.
Further, it is also possible to using other methods, according to the second loop data and tertiary coil data, the second susceptibility is calculated
Modal data does not do any restriction to the acquisition methods of the second susceptibility modal data herein.
It should be noted that step 501 and step 502 are two execution steps arranged side by side, step 501 and step 502
Execution sequence in no particular order, can first carry out step 501, rear to execute step 502, can also first carry out step 502, execute step afterwards
Rapid 501.
Step 503：According to the second susceptibility modal data, calculates susceptibility and compose correction data.
Due to the first susceptibility modal data got in step 501, to be based only upon array coil collected first
The susceptibility modal data that loop data is calculated is rebuild image using the first susceptibility modal data, obtained figure
Although as artifact is not present, the uniformity of image is poor.And in step 502, second that array coil is scanned
The tertiary coil data that loop data and big body coil scan are combined, and number is composed by the second susceptibility has been calculated
According to, since the collected data of big body coil can improve the uniformity of the collected data of array coil, it is quick by second
Sensitivity modal data is combined with the first susceptibility modal data, can obtain the better reconstruction image of display effect.
For the second susceptibility modal data that will be got in step 502, with the first susceptibility got in step 501
Modal data combines, and now needs, according to the second susceptibility modal data, to calculate susceptibility and compose correction data.
Specifically, when calculating susceptibility spectrum correction data, the flat of the absolute value of the second susceptibility modal data can be first calculated
Fang He, as the second median；Extraction of square root processing is carried out to the second median, obtains susceptibility spectrum correction data, following formula：
Wherein, T indicates that susceptibility composes correction data.
Specifically, calculating the second susceptibility modal data SG of each acquisition channel γγSquare of matrix norm, by each
Two susceptibility modal data SGγIt after square progress read group total of matrix norm, then extracts square root, obtains for correcting the first susceptibility
Modal data SLγSusceptibility spectrum correction data T.
It should be noted that the susceptibility spectrum correction data T being calculated according to formula (3) is a square for correction
Battle array.
It is, of course, also possible to using other computational methods, susceptibility is calculated according to the second susceptibility modal data and composes correction data,
Any restriction is not done to calculating the method that susceptibility composes correction data at this.
Step 504：Correction data is composed using susceptibility, the first susceptibility modal data is corrected, after obtaining calibration
Susceptibility modal data.
Correction data T is composed using the susceptibility obtained in step 503, to the first sensitivity got in step 501
Spend modal data SLγIt is corrected, the susceptibility modal data after being corrected.
Specifically, can dot product processing be carried out for the first susceptibility modal data and susceptibility spectrum correction data, calibration is obtained
Susceptibility modal data afterwards, following formula：
Sγ=SLγT formula (4)
Wherein, SγIndicate the susceptibility modal data after correction, SLγIndicate the first susceptibility modal data.
It should be noted that in formula (4), SLγIt is to carry out dot product calculating, i.e. the element phase of the corresponding position of matrix with T
Multiply, due to the first susceptibility modal data SLγFor the γ matrix corresponding to all coils duct receiver in array coil, accordingly
Ground, the susceptibility modal data S after correctionγAlso it is the γ matrix corresponding to all coils duct receiver in array coil.
Since susceptibility spectrum correction data T is according to the second susceptibility modal data SGγCalculate obtain, therefore, using
The susceptibility spectrum correction data T obtained in step 503, to the first susceptibility modal data SLγIt is corrected, that is, it is quick to realize second
Sensitivity modal data SGγWith the first susceptibility modal data SLγCombination correspondingly utilize the susceptibility modal data obtained after combination
SγImage is rebuild, artifact is not present in obtained reconstruction image, and uniformity is preferable.
It is of course also possible to use other computational methods, are corrected the first susceptibility modal data, it is not quick to first herein
Any restriction is done in the bearing calibration of sensitivity modal data.
Step 505：Image reconstruction is carried out using the susceptibility modal data after correction.
Obtain susceptibility modal data SγAfterwards, using susceptibility modal data SγCarry out image reconstruction.
Specifically, susceptibility corresponding with the wound point on the data image that each acquisition channel is acquired can be calculated first
Spectrum generally uses following formula：
Sy,ρ=Sγ(rρ) formula (5)
Wherein, γ represents acquisition channel, and ρ represents the wound point on acquisition image, rρIt is residing on the image to represent wound point
Position.
For the location of each wound point, it is satisfied by following formula：
A=Sγ,ρU formula (6)
Wherein, a represents wound image data, and u representatives need reconstructed image data, and there is no volumes in the reconstructed image data
It is folded.
Reconstructed image data is calculated using the least square method of regularization, using following formula：
Wherein, ψ-1For noise matrix, R is regularization factors, and H is used to indicate conjugate transposition,For to Sγ,ρIt is conjugated
Transposition processing.
It should be noted that before step 504 execution, i.e., correction data is being composed using susceptibility, to the first susceptibility
Modal data is corrected, and before the susceptibility modal data after being corrected, can also first be carried out to susceptibility spectrum correction data pre-
Processing, specifically, can to susceptibility compose correction data carry out fitting of a polynomial, low-pass filtering and or threshold process, with ensure
Obtained susceptibility spectrum correction data performance is smooth.
Image rebuilding method provided in this embodiment obtains the collected first coil data of array coil, according to this first
The first susceptibility modal data is calculated in loop data, since first coil data are the data acquired merely with array coil,
Therefore, if directly being rebuild to image using the first susceptibility modal data, artifact is not present in obtained reconstruction image, still
Based on the reason that the collected data uniformity of array coil is poor, the reconstruction image uniformity is poor, and central area is dark.For
Display effect better reconstruction image is obtained, image rebuilding method provided in this embodiment further obtains array coil acquisition
Second loop data in default second visual field arrived, and the collected tertiary coil data for presetting second visual field of big body coil,
The second susceptibility modal data is calculated according to the second loop data and tertiary coil data, by the second susceptibility modal data with
First susceptibility modal data is combined, and obtains susceptibility modal data, since the second susceptibility modal data is to be based on array coil
It is calculated with the data of big body coil acquisition, the big collected data of body coil can improve the collected number of array coil
According to uniformity, so, the uniformity of reconstruction image can be improved in conjunction with the second susceptibility modal data, therefore, utilize the sensitivity
It spends modal data and carries out image reconstruction, can obtain that uniformity is preferable, and there is no the reconstruction images of artifact.
With reference to practical application, the image rebuilding method in above method embodiment one is introduced：
Embodiment of the method two
It is the flow chart of image rebuilding method provided in this embodiment referring to Fig. 6.
Step 601：It is treated after scanned position is scanned using magnetic resonance equipment, array coil collects default first and regards
First coil data in open country.
It in practical applications, can be by position institute to be scanned when treating scanned position using magnetic resonance equipment and being scanned
The range at place sweeps the position to be scanned in default first visual field as first visual field is preset, using magnetic resonance equipment
It retouches, the first coil data in default first visual field is collected using array coil.
Step 602：Under the premise of not changing scanning resolution, phase code step number is reduced, magnetic resonance equipment pair is utilized
Position to be scanned carries out after scanning again, and array coil collects image wound data.
Since the sweep time of magnetic resonance equipment is long, cause the image quality of magnetic resonance equipment relatively low, therefore, in order to carry
The image quality of high magnetic resonance equipment in practical application, under the premise of not changing scanning resolution, passes through and reduces phase code
Step number improves the sweep speed of magnetic resonance equipment, and then improves the image quality of magnetic resonance equipment.
Specifically, in order to improve the quality of image after final rebuild, need to ensure battle array in step 602 and step 601 as possible
The consistency at the affiliated position of the collected data of alignment circle, for example, it is assumed that it is human body head that array coil is collected in step 601
The data of left brain in portion, then needed in step 602 as possible ensure array coil it is collected be also left brain data, it is therefore desirable to
Be immediately performed step 601 after step 602 executes as possible, to avoid being spun out because of the time caused by human body head it is inevitable
The inconsistent problem in the affiliated position of data caused by mobile, for example, avoiding in above-mentioned steps 602 that array coil is collected not to be
The data of left brain, but because of the data of the mobile and collected right brain of human body head.
Therefore, in practical application, after step S601, magnetic resonance equipment reduces phase code step number immediately as possible, right
Position to be scanned in default first visual field is scanned again, and array coil collects image wound data.Due to reducing
There are wounds in the image data obtained after phase code step number, therefore, it is also desirable to the image wound data roll up
Folded processing, obtains the preferable reconstructed image data of display effect.
Step 603：Scanned position is treated using magnetic resonance equipment to carry out after scanning again, array coil collects default the
The second loop data in two visuals field, and big body coil collect the tertiary coil data in second visual field.
After step 602, magnetic resonance equipment sets the visual field to second visual field, and treats scanned position again and carry out just
Often scanning, after array coil acquires the second loop data in second visual field, in order to ensure the second loop data and third line
The consistency of number of turns evidence avoids artifact problem, and magnetic resonance equipment needs switch to big body coil from array coil immediately, and utilize
Big body coil acquires the tertiary coil data in second visual field.
Step 604：Susceptibility modal data is calculated based on first coil data, as the first susceptibility modal data；And base
Susceptibility modal data is calculated in the second loop data and tertiary coil data, as the second susceptibility modal data.
Step 605：According to the second susceptibility modal data, calculates susceptibility and compose correction data, and utilize susceptibility spectrum correction
Data pair the first susceptibility modal data is corrected, and obtains the susceptibility modal data after calibration.
Step 606：Using the susceptibility modal data after calibration, image wound data are rebuild.
Since the first susceptibility modal data is, according only to array coil scan to obtain first coil data be calculated it is quick
Therefore sensitivity modal data directly carries out wound to above-mentioned image wound data using the first susceptibility modal data and handles, obtain
Although artifact is not present in the reconstruction image arrived, the uniformity of the reconstruction image is poor.Therefore, in order to obtain display effect more
Good reconstruction image, it is also necessary to which the first susceptibility modal data is corrected.
Specifically, being calculated using second loop data and tertiary coil data, the second susceptibility modal data is obtained.
Since the data of big body coil acquisition have preferable uniformity, according to the second susceptibility modal data, calculate susceptibility
Correction data is composed, is corrected using susceptibility spectrum correction data pair the first susceptibility modal data, utilizes the sensitivity after correction
Degree modal data rebuilds image, can obtain that artifact, and the preferable reconstruction image of uniformity is not present.
It is worth noting that, above method embodiment two is a kind of specific implementation side of image rebuilding method in the present invention
Formula there is also other realization methods in practical application, is no longer introduced herein not as the restriction of specific implementation of the present invention.
It should be noted that in above method embodiment one, two, the size for presetting first visual field and default second visual field is closed
System does not limit, specifically, default second visual field can be more than default first visual field, can also be equal to default first visual field, also
Default first visual field can be less than.
In the case of one kind, when default second visual field is more than default first visual field, regarded default second based on array coil
Wild collected second loop data, and big body coil are calculated in the collected tertiary coil data in default second visual field
The the second susceptibility modal data arrived, can be not only used for the weight of array coil the image collected wound data in first visual field
It builds, can be also used for the reconstruction of the image wound data at other collected positions (in second visual field) of array coil, save
To the reconstruction procedures of the image wound data at other follow-up positions, efficiency is improved.
For example, the left brain in magnetic resonance equipment scanning human body head is utilized, by the specific residing field range of left brain
It is set as default first visual field, the field range residing for human body head is set to default second visual field, is utilized respectively array lines
Circle and big body coil acquisition human body head residing for the second loop data within the vision and tertiary coil data, based on this second
The second susceptibility modal data is calculated in loop data and tertiary coil data, other portions in the follow up scan human body head
When position (such as right brain), the second susceptibility modal data can be directly used, the weight for the image wound data to other positions
It builds, without being acquired again to the second loop data within the vision and tertiary coil data residing for human body head.
In another case, when default second visual field is equal to default first visual field, it need not be to the visual field after step 602
It is adjusted, directly treat scanned position using magnetic resonance equipment is scanned again, and default first is acquired using array coil
The visual field (i.e. second visual field) obtains the second loop data, and acquires default first visual field using big body coil and obtain third line
Number of turns evidence, and the second susceptibility modal data being calculated.
In the case of another, when default second visual field is less than default first visual field, based on array coil in step 603 and
The second susceptibility modal data that big collected second loop data of body coil and tertiary coil data are calculated, only with step
The a part of corresponding of the first susceptibility modal data is calculated in rapid 601, it can be with the first susceptibility modal data in order to obtain
All corresponding second susceptibility modal datas, the smoothness properties and wait sweeping that the embodiment of the present invention can be based on susceptibility modal data
The characteristic for retouching position image itself compensates calculating, to obtain using the method for extrapolation process to the second susceptibility modal data
It accurately can be with the whole corresponding second susceptibility modal data of the first susceptibility modal data.
In conclusion the image rebuilding method using embodiment of the method one carries out image reconstruction in practical applications, it can
The preferable reconstruction image of display effect is obtained, artifact is not present in the image rebuild, and uniformity is preferable.
As shown in fig. 7, to use image rebuilding method provided in this embodiment, the display rebuild to image is imitated
Fruit, by observation it can be found that artifact is not present in the image rebuild using image rebuilding method provided in this embodiment,
And the uniformity of image is preferable.
Device embodiment
It is a kind of structure chart of equipment for reconstructing image provided in this embodiment referring to Fig. 8, which sets applied to magnetic resonance
Standby, the magnetic resonance equipment has array coil and big body coil, is scanned to target object using the magnetic resonance equipment,
Described device includes：
First susceptibility Data acquisition unit 801, for obtaining collected default first visual field of the array coil
First coil data, and based on the first coil data calculate susceptibility modal data, as the first susceptibility modal data；
Second susceptibility Data acquisition unit 802, for obtaining collected default second visual field of the array coil
The second loop data and collected default second visual field of the big body coil tertiary coil data, and be based on
Second loop data and the tertiary coil data calculate susceptibility modal data, as the second susceptibility modal data；
Susceptibility composes correction data acquiring unit 803, for according to the second susceptibility modal data, calculating susceptibility spectrum
Correction data；
Susceptibility modal data corrects unit 804, for composing correction data using the susceptibility, to first susceptibility
Modal data is corrected, and obtains the susceptibility modal data after calibration；
Image reconstruction unit 805, for carrying out image reconstruction using the susceptibility modal data after the correction.
Optionally, the first susceptibility Data acquisition unit includes：
First susceptibility modal data computation subunit, the quadratic sum of the absolute value for calculating the first coil data,
As the first median；And by the quotient of the first coil data and first median, as the first susceptibility modal data；
Formula (1) can be utilized to calculate susceptibility modal data, as the first susceptibility modal data；
Wherein, SLγIndicate the first susceptibility modal data, CγIndicate the first coil data.
Optionally, the second susceptibility Data acquisition unit includes：
Second susceptibility modal data computation subunit is used for second loop data and the tertiary coil data
Quotient, as the second susceptibility modal data；
Formula (2) can be utilized to calculate susceptibility modal data, as the second susceptibility modal data；
Wherein, SGγIndicate the second susceptibility modal data, C 'γIndicate second loop data, Q indicates described the
Three-winding data.
Optionally, the susceptibility spectrum correction data acquiring unit includes：
Susceptibility composes correction data computation subunit, square of the absolute value for calculating the second susceptibility modal data
With as the second median；And extraction of square root processing is carried out to second median, obtain susceptibility spectrum correction data；
Formula (3) can be utilized to calculate susceptibility and compose correction data；
Wherein, T indicates that the susceptibility composes correction data.
Optionally, the susceptibility modal data correction unit includes：
Susceptibility modal data computation subunit, for the first susceptibility modal data and the susceptibility to be composed correction number
According to dot product processing is carried out, the susceptibility modal data after calibration is obtained；
Formula (4) can be utilized to calculate the susceptibility modal data after calibration；
Sγ=SLγT formula (4)
Wherein, SγIndicate the susceptibility modal data after calibration, SLγIndicate the first susceptibility modal data.
Optionally, described image reconstructing apparatus further includes：
Susceptibility composes correction data pretreatment unit, described for being pre-processed to susceptibility spectrum correction data
Pretreatment include fitting of a polynomial, low-pass filtering and or threshold process.
The present embodiment device shown in Fig. 8 is device corresponding with the method described in embodiment of the method, concrete methods of realizing
Similar, the description in reference method embodiment, which is not described herein again.
Correspondingly, the embodiment of the present invention also provides a kind of image reconstruction device, it is shown in Figure 9, may include：
Processor 901, memory 902, input unit 903 and output device 904.The quantity of processor 801 can be with one
Or it is multiple, in Fig. 9 by taking a processor as an example.In some embodiments of the invention, processor 901, memory 902, input
Device 903 and output device 904 can be connected by bus or other means, wherein in Fig. 9 for being connected by bus.
Memory 902 can be used for storing software program and module, and processor 901 is stored in memory 902 by operation
Software program and module, to execute various function application and the data processing of light launched field consistency detection equipment.It deposits
Reservoir 902 can include mainly storing program area and storage data field, wherein storing program area can storage program area, at least one
Application program etc. needed for a function.In addition, memory 902 may include high-speed random access memory, can also include non-
Volatile memory, for example, at least a disk memory, flush memory device or other volatile solid-state parts.Input
Device 903 can be used for receiving the number or character information of input, and generates and set with the user of light launched field consistency detection equipment
It sets and the related signal of function control inputs.
Specifically in the present embodiment, processor 901 can be according to following instruction, by one or more application program
The corresponding executable file of process be loaded into memory 902, and be stored in memory 902 by processor 901 to run
Application program, to realize various functions：
The first coil data of collected default first FOV of the array coil are obtained, and are based on the first coil
Data calculate susceptibility modal data, as the first susceptibility modal data；
It obtains the array coil and collects the second loop data of default 2nd FOV and the big body coil acquisition
The tertiary coil data of default 2nd FOV arrived, and it is based on second loop data and the tertiary coil data meter
Susceptibility modal data is calculated, as the second susceptibility modal data；
According to the second susceptibility modal data, calculates susceptibility and compose correction data；
Correction data is composed using the susceptibility, the first susceptibility modal data is corrected, after being corrected
Susceptibility modal data；
Image reconstruction is carried out using the susceptibility modal data after the correction.
For device embodiments, since it corresponds essentially to embodiment of the method, so related place is referring to method reality
Apply the part explanation of example.The apparatus embodiments described above are merely exemplary, wherein described be used as separating component
The unit of explanation may or may not be physically separated, and the component shown as unit can be or can also
It is not physical unit, you can be located at a place, or may be distributed over multiple network units.It can be according to actual
It needs that some or all of module therein is selected to achieve the purpose of the solution of this embodiment.Those of ordinary skill in the art are not
In the case of making the creative labor, you can to understand and implement.
It should be noted that herein, relational terms such as first and second and the like are used merely to a reality
Body or operation are distinguished with another entity or operation, are deposited without necessarily requiring or implying between these entities or operation
In any actual relationship or order or sequence.Moreover, the terms "include", "comprise" or its any other variant are intended to
Non-exclusive inclusion, so that the process, method, article or equipment including a series of elements is not only wanted including those
Element, but also include other elements that are not explicitly listed, or further include for this process, method, article or equipment
Intrinsic element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that
There is also other identical elements in process, method, article or equipment including the element.
A kind of image rebuilding method, device and the equipment provided above the embodiment of the present application is described in detail,
Specific examples are used herein to illustrate the principle and implementation manner of the present application, and the explanation of above example is only used
Understand the present processes and its core concept in help；Meanwhile for those of ordinary skill in the art, according to the application's
Thought, there will be changes in the specific implementation manner and application range, in conclusion the content of the present specification should not be construed as
Limitation to the application.
Claims (13)
1. a kind of image rebuilding method, which is characterized in that the method is applied to magnetic resonance equipment, and the magnetic resonance equipment has
Array coil and big body coil, are scanned target object using the magnetic resonance equipment, the method includes：
The first coil data in collected default first visual field of the array coil are obtained, and are based on the first coil data
Susceptibility modal data is calculated, as the first susceptibility modal data；
The second loop data and the big body coil for obtaining collected default second visual field of the array coil collect
Default second visual field tertiary coil data, and calculated based on second loop data and the tertiary coil data
Susceptibility modal data, as the second susceptibility modal data；
According to the second susceptibility modal data, calculates susceptibility and compose correction data；
Correction data is composed using the susceptibility, the first susceptibility modal data is corrected, the sensitivity after being corrected
Spend modal data；
Image reconstruction is carried out using the susceptibility modal data after the correction.
2. image rebuilding method according to claim 1, which is characterized in that described to be calculated based on the first coil data
Susceptibility modal data, as the first susceptibility modal data, including：
The quadratic sum for calculating the absolute value of the first coil data, as the first median；
By the quotient of the first coil data and first median, as the first susceptibility modal data.
3. image rebuilding method according to claim 1, which is characterized in that described to be based on second loop data and institute
It states tertiary coil data and calculates susceptibility modal data, as the second susceptibility modal data, including：
By the quotient of second loop data and the tertiary coil data, as the second susceptibility modal data.
4. image rebuilding method according to claim 3, which is characterized in that described to compose number according to second susceptibility
According to, it calculates susceptibility and composes correction data, including：
The quadratic sum for calculating the absolute value of the second susceptibility modal data, as the second median；
Extraction of square root processing is carried out to second median, obtains susceptibility spectrum correction data.
5. image rebuilding method according to claim 4, which is characterized in that described to compose correction number using the susceptibility
According to, the first susceptibility modal data is corrected, the susceptibility modal data after calibration is obtained, including：
The first susceptibility modal data and susceptibility spectrum correction data are subjected to dot product processing, obtain the sensitivity after calibration
Spend modal data.
6. image rebuilding method according to any one of claims 1-5, which is characterized in that described to utilize the susceptibility
Correction data is composed, the first susceptibility modal data is corrected, before obtaining the susceptibility modal data after calibration, is also wrapped
It includes：
To the susceptibility spectrum correction data pre-process, it is described pretreatment include fitting of a polynomial, low-pass filtering and or threshold
Value processing.
7. a kind of equipment for reconstructing image, which is characterized in that described device is applied to magnetic resonance equipment, and the magnetic resonance equipment has
Array coil and big body coil, are scanned target object using the magnetic resonance equipment, and described device includes：
First susceptibility Data acquisition unit, the First Line for obtaining collected default first visual field of the array coil
Number of turns evidence, and susceptibility modal data is calculated based on the first coil data, as the first susceptibility modal data；
Second susceptibility Data acquisition unit, the second line for obtaining collected default second visual field of the array coil
Number of turns evidence and the tertiary coil data in collected default second visual field of the big body coil, and it is based on described second
Loop data and the tertiary coil data calculate susceptibility modal data, as the second susceptibility modal data；
Susceptibility composes correction data acquiring unit, for according to the second susceptibility modal data, calculating susceptibility and composing correction number
According to；
Susceptibility modal data corrects unit, for composing correction data using the susceptibility, to the first susceptibility modal data
It is corrected, the susceptibility modal data after being corrected；
Image reconstruction unit, for carrying out image reconstruction using the susceptibility modal data after the correction.
8. equipment for reconstructing image according to claim 7, which is characterized in that the first susceptibility Data acquisition unit
Including：
First susceptibility modal data computation subunit, the quadratic sum of the absolute value for calculating the first coil data, as
First median；And by the quotient of the first coil data and first median, as the first susceptibility modal data.
9. equipment for reconstructing image according to claim 7, which is characterized in that the second susceptibility Data acquisition unit
Including：
Second susceptibility modal data computation subunit is used for the quotient of second loop data and the tertiary coil data,
As the second susceptibility modal data.
10. image reconstruction device according to claim 7, which is characterized in that the susceptibility spectrum correction data obtains single
Member includes：
Susceptibility spectrum correction data computation subunit, the quadratic sum of the absolute value for calculating the second susceptibility modal data,
As the second median；And extraction of square root processing is carried out to second median, obtain susceptibility spectrum correction data.
11. image reconstruction device according to claim 10, which is characterized in that the susceptibility modal data corrects unit packet
It includes：
Susceptibility modal data computation subunit, for will the first susceptibility modal data and the susceptibility spectrum correction data into
The processing of row dot product, obtains the susceptibility modal data after calibration.
12. according to the image reconstruction device described in any one of claim 7-11, which is characterized in that described image reconstructing apparatus
Further include：
Susceptibility composes correction data pretreatment unit, for being pre-processed to susceptibility spectrum correction data, the pre- place
Reason include fitting of a polynomial, low-pass filtering and or threshold process.
13. a kind of image reconstruction device, which is characterized in that the equipment includes：Memory and processor,
Said program code is transferred to the processor by the memory for storing program code；
The processor is used to, according to the instruction in said program code, execute following steps：
The first coil data in collected default first visual field of the array coil are obtained, and are based on the first coil data
Susceptibility modal data is calculated, as the first susceptibility modal data；
The second loop data and the big body coil for obtaining collected default second visual field of the array coil collect
Default second visual field tertiary coil data, and calculated based on second loop data and the tertiary coil data
Susceptibility modal data, as the second susceptibility modal data；
According to the second susceptibility modal data, calculates susceptibility and compose correction data；
Correction data is composed using the susceptibility, the first susceptibility modal data is corrected, the sensitivity after being corrected
Spend modal data；
Image reconstruction is carried out using the susceptibility modal data after the correction.
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