CN110109036A - Two-dimension time-space coding sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing - Google Patents
Two-dimension time-space coding sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing Download PDFInfo
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- CN110109036A CN110109036A CN201910440035.XA CN201910440035A CN110109036A CN 110109036 A CN110109036 A CN 110109036A CN 201910440035 A CN201910440035 A CN 201910440035A CN 110109036 A CN110109036 A CN 110109036A
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- 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
- G01R33/4818—MR characterised by data acquisition along a specific k-space trajectory or by the temporal order of k-space coverage, e.g. centric or segmented coverage of k-space
- G01R33/4824—MR characterised by data acquisition along a specific k-space trajectory or by the temporal order of k-space coverage, e.g. centric or segmented coverage of k-space using a non-Cartesian trajectory
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R33/00—Arrangements or instruments for measuring magnetic variables
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- G01R33/44—Arrangements or instruments for measuring magnetic variables involving magnetic resonance using nuclear magnetic resonance [NMR]
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- 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
- G01R33/5602—Image enhancement or correction, e.g. subtraction or averaging techniques, e.g. improvement of signal-to-noise ratio and resolution by filtering or weighting based on different relaxation times within the sample, e.g. T1 weighting using an inversion pulse
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- 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
- G01R33/56545—Correction of image distortions, e.g. due to magnetic field inhomogeneities caused by finite or discrete sampling, e.g. Gibbs ringing, truncation artefacts, phase aliasing artefacts
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Abstract
Two-dimension time-space coding sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing, is related to MR imaging method.The pulse of Chirp linear frequency sweep is generated using Matlab；It is generated using Matlab and decodes gradient with the matched spiral of Chirp pulsion phase；Sequencer program code is write, compiles and passes through on imager；Laboratory sample is got out, imager imaging region is fixed in；Imaging region is found, determines layer choosing information, is tuned, shimming, frequency correction and capability correction；Measure Chirp pulse power；The sequence for recalling compiling is added the pulse of Chirp linear frequency sweep and spiral decoding gradient of generation, sets relevant parameter；Layer choosing parameter is set, and acquisition image obtains k-space data；Gridding processing is carried out to obtained k-space data, and carries out super-resolution rebuilding.The non-Cartesian sample mode of use, which has, resists aliasing artefacts, high sampling efficiency and to the more low advantage of hardware requirement.
Description
Technical field
The present invention relates to MR imaging methods, sweep magnetic resonance imaging non-Cartesian more particularly, to two-dimension time-space coding
Sampling and method for reconstructing.
Background technique
Magnetic resonance imaging (Magnetic Resonance Imaging, MRI) is one to grow up the eighties in last century
Kind Novel medical diagnostic techniques, image-forming principle are different from CT, X-ray, are the resonance generated in externally-applied magnetic field using hydrogen atom
Signal carries out the detection to tissue.Since MRI technique does not have ionization damage and its good soft tissue resolving power etc. to human body
Plurality of advantages, MRI technique are developed rapidly.In living body MRI, under the premise of picture quality is relatively reliable, shorten imaging
Time is always one of the key technology of progress of making a breakthrough.1977, British scientist Mansfield proposed plane spin
Imaging method (Echo Planar Imaging, EPI) ([1] Stehling M K, Turner R, Mansfield of echo
P.Echo-Planar Imaging:Magnetic Resonance Imaging in a Fraction of a
Second.Science, 1991,254 (5028): 43-50), EPI's is mainly characterized by using primary excitation to be filled with completely entire k
Space makes the sampling time by a few minutes of script, and dozens of minutes foreshortens to a millisecond magnitude, and the sampling time is greatly saved.Although
Sampling time greatly shortens, but often signal-to-noise ratio and resolving power are lower for the image that samples of this method, vulnerable to non-uniform field
Influential effect.
2006, Frydman group, Israel proposed single sweep space-time code imaging method on this basis
(Spatiotemporal Encoding,SPEN)([2]Shrot Y,Frydman L.Spatially encoded NMR and
the acquisition of 2D magnetic resonance images within a single scan.Journal
of Magnetic Resonance,2005,172(2):179-190).SPEN obtains k-space under the effect of EPI sampled gradients,
Blurred picture can be obtained by one-dimensional Fourier transform.It is compared with EPI method, SPEN can greatly improve image to not
The interference of uniform field, but the spatial resolution of its blurred picture is lower.2010, Frydman group introduced super-resolution rebuilding
Method ([3] Ben-Eliezer N, Shrot Y, Frydman L, et al.Parametric analysis of the
spatial resolution and signal-to-noise ratio in super-resolved
spatiotemporally encoded(SPEN)MRI.Magnetic Resonance in Medicine Official
Journal of the Society of Magnetic Resonance in Medicine, 2014,72 (2): 418-429),
Existing super-resolution algorithms include conjugate gradient algorithms, partial Fourier algorithm ([4] Chen Y, Li J, Qu XB, et
al.Partial Fourier transform reconstruction for single-shot MRI with linear
frequency-swept excitation.Magnetic Resonance in Medicine,2013,69(5):1326-
1336), Deconvolution Algorithm Based on Frequency, super-resolution enhancing go artifact to rebuild ([5] Chen L, Li J, Zhang M, et with edge
al.Super-resolved enhancing and edge deghosting(SEED)for spatiotemporally
Encoded single-shot MRI.Medical Image Analysis, 2015,23 (1): 1-14) etc..Xiamen University's magnetic
Resonance image-forming group has also carried out related experiment, and the sampling of SPEN multilayer ([6] Zhang T, Chen L, Huang JP, Li J,
Cai SH,Cai CB,and Chen Z.Ultrafast multi-slice spatiotemporally encoded MRI
with slice-selective dimension segmented.Journal of Magnetic
Resonance.Journal of Magnetic Resonance, 2016,269:138-145) and SPEN spiral sampling direction take
Obtain ([7] Chen L, Huang JP, Zhang T, Li J, Cai CB, Cai the SH.Variable density that is centainly in progress
sampling and non-Cartesian super-resolved reconstruction for spatiotemporally
encoded single-shot MRI.Journal of Magnetic Resonance,2016；272:1-9).
Multilayer Sampling is always a major issue of field of magnetic resonance imaging, how quickly to improve sampling speed
Degree better against distortion of the image under non-uniform field and promotes picture quality and just seems very necessary.
Summary of the invention
The purpose of the present invention is to provide spiral gradient can be used to be decoded and sample, single pass acquires multilayer graph
Picture carries out super-resolution rebuilding, does not need the sampled gradients being switched fast, and greatly reduces the requirement to hardware, improves image
Resolution ratio and resist lack sampling cause the two-dimension time-space of aliasing artefacts encode sweep the sampling of magnetic resonance imaging non-Cartesian and
Method for reconstructing.
The present invention the following steps are included:
1) pulse of Chirp linear frequency sweep is generated using Matlab；
2) it is generated using Matlab and decodes gradient with the matched spiral of Chirp pulsion phase；
3) sequencer program code is write, compiles and passes through on imager；
4) laboratory sample is got out, imager imaging region is fixed in；
5) imaging region is found, determines layer choosing information, is tuned, shimming, frequency correction and capability correction；
6) Chirp pulse power is measured；
7) it recalls in step 3) through the sequence of compiling, the pulse of Chirp linear frequency sweep and the spiral decoding ladder of generation is added
Degree, sets relevant parameter；
8) layer choosing parameter is set, and acquisition image obtains k-space data；
9) gridding processing is carried out to the k-space data that step 8) obtains, and carries out super-resolution rebuilding.
In step 2), the spiral decoding gradient can solve to obtain by phase plane algorithm.
In step 3), the structure of the sequencer program code can select excitation pulse, 180 ° of phase dimensions successively for 90 ° of sections
Chirp pulse, 180 ° of frequency Victoria C hirp pulses, 90 ° of sections select storage pulse, 90 ° of layer choosing pulses, spiral sampling gtadient echo chain
And the destruction gradient in sequence.
In step 6), the sequence of the measurement Chirp pulse power can be one-dimensional space-time code sequence.
In step 7), the parameter may include swept bandwidth, time and the power of Chirp pulse, spiral decoding gradient
Power etc..
In step 8), the layer choosing parameter may include FOV, the number of plies, thickness, position of interested target area etc..
In step 9), the gridding processing can carry out phase weighting to sampled signal, in order to subsequent interpolation operation；
The spiral sampling space of two-dimension time-space coding is a space associated with position, by the method for interpolation by data gridding
To cartesian coordinate system, super-resolution rebuilding is carried out to the data after interpolation；The reconstruction formula of the super-resolution rebuilding algorithm
It can are as follows:
S=φxρφy
Wherein, φxAnd φyThe respectively coefficient matrix of frequency peacekeeping phase dimension, S is the cartesian coordinate system after gridding
Under data, ρ be reconstruct come high quality image.
The present invention solves the problems, such as that SPEN spiral sampling sweep more, is the key that the problem in MR imaging sequences research
One of, the modes of sweeping that the present invention uses have the advantages of image taking speed is fast, good imaging quality more.Phase is sampled with traditional SPEN MRI
Than conventional Cartesian sample mode has the influence being easy by aliasing artefacts and eddy current effect, is influenced by non-uniform field, switches
The disadvantages of gradient is high to hardware requirement.And the non-Cartesian sample mode that the present invention uses has resistance aliasing artefacts, high sampling
Efficiency and to the more low advantage of hardware requirement.
Detailed description of the invention
Fig. 1, which is that two-dimension time-space proposed by the present invention coding, sweeps non-Cartesian sampling magnetic resonance imaging sequence figure.
Fig. 2 is water mould magnetic resonance imaging figure.In Fig. 2, GEMS sequence is respectively adopted, SE-EPI sequence and two-dimension time-space are compiled
Code is swept non-Cartesian sample sequence more and is imaged.
Fig. 3 is mouse brain magnetic resonance image.In Fig. 3, GEMS sequence is respectively adopted, SE-EPI sequence and two-dimension time-space are compiled
Code is swept non-Cartesian sample sequence more and is imaged.
Specific embodiment
Following embodiment will the invention will be further described in conjunction with attached drawing.
The embodiment of the present invention includes following steps:
1) pulse of Chirp linear frequency sweep is generated using Matlab.
2) it is generated using Matlab and decodes gradient with the matched spiral of Chirp pulsion phase；The spiral decoding gradient is logical
Phase plane algorithm is crossed to solve to obtain.
3) sequencer program code is write, compiles and passes through on imager；The structure of the sequencer program code is followed successively by
90 ° of sections select excitation pulse, 180 ° of phase Victoria C hirp pulses, 180 ° of frequency Victoria C hirp pulses, and 90 ° of sections select storage pulse, 90 ° of layers
Select pulse, the destruction gradient in spiral sampling gtadient echo chain and sequence.
4) laboratory sample is got out, imager imaging region is fixed in.
5) imaging region is found, determines layer choosing information, is tuned, shimming, frequency correction and capability correction.
6) Chirp pulse power is measured；The sequence of the measurement Chirp pulse power can be one-dimensional space-time code sequence.
7) it recalls in step 3) through the sequence of compiling, the pulse of Chirp linear frequency sweep and the spiral decoding ladder of generation is added
Degree, sets relevant parameter；The parameter includes swept bandwidth, time and the power of Chirp pulse, spiral decoding gradient power
Deng.
8) layer choosing parameter is set, and acquisition image obtains k-space data；The layer choosing parameter includes interested target area
FOV, the number of plies, thickness, position etc..
9) gridding processing is carried out to the k-space data that step 8) obtains, and carries out super-resolution rebuilding；The gridding
Processing is to carry out phase weighting to sampled signal, in order to subsequent interpolation operation；The spiral sampling space of two-dimension time-space coding is
One space associated with position, by the method for interpolation by data gridding to cartesian coordinate system, to the number after interpolation
According to progress super-resolution rebuilding；The reconstruction formula of the super-resolution rebuilding algorithm can are as follows:
S=φxρφy
Wherein, φxAnd φyThe respectively coefficient matrix of frequency peacekeeping phase dimension, S is the cartesian coordinate system after gridding
Under data, ρ be reconstruct come high quality image.
Specific embodiment is given below:
The present invention is carried out on nuclear magnetic resonance Varian 7T imager, respectively to water mould, lemon and mouse brain carry out at
As experiment, to verify feasibility of the invention.For valid certificates feasibility of the invention, therefore carry out under the same conditions
It is compared with multilayer spin echo echo planar imaging (EPI) imaging.
Ready sample is put into imager, interested position is found, be tuned, shimming, frequency correction and
Capability correction.Before sequential experimentation, first use one-dimensional Chirp180 ° of pulse power of space-time code sequence measuring, generate with
The matched spiral sampling gradient file of Chirp180 ° of pulsion phase, the present invention use frequency 32kHz frequency sweep time 3ms's
Chirp pulse.It is then introduced into compiled train pulse as shown in Figure 1, it is 5Gauss/ that setting, which destroys gradient power intensity,
cm.The FOV of water mould and mouse brain is 45mm × 45mm in this experiment, and the FOV of lemon is 70mm × 70mm, and thickness is 2mm, is adopted altogether
10 layers of collection, spiral sampling points are 6996.10 layers of spiral sampling time is 1.5s.Obtained data are subjected to super-resolution
It rebuilds, obtains high-definition picture.Under same experimental conditions, the GEMS image and EPI image under identical layer choosing information are acquired,
Sampling matrix is 64 × 64, and the sampling time is respectively 2.5s and 6s.What Fig. 2 and 3 was shown is the result after 10 layers of sampling reconstruction.
It can be seen that under the same conditions the distortion of echo planar imaging is even more serious from the three first layers circled and Fig. 3 of Fig. 2,
And space-time code pattern distortion is smaller, distorts better against non-uniform field bring.For the sampling time, this method is adopted
The sample time is most short, substantially reduces the sweep time of multilayer.
The present invention combines section choosing excitation, linear frequency sweep pulse code and spiral sampling.First by 90 ° of pulses into
Then row Duan Xuan carries out 180 ° of linear impulsive codings of two dimension, then selects pulse to store information by 90 ° of sections as before.
It for the information for obtaining each layer, reuses whole section of 90 ° of layer choosing pulse pairs and carries out choosing layer, and then carry out spiral sampling, super-resolution
Multilayer high-definition picture is obtained after the completion of rebuilding.
Claims (8)
1. two-dimension time-space coding sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing, it is characterised in that including following step
It is rapid:
1) pulse of Chirp linear frequency sweep is generated using Matlab；
2) it is generated using Matlab and decodes gradient with the matched spiral of Chirp pulsion phase；
3) sequencer program code is write, compiles and passes through on imager；
4) laboratory sample is got out, imager imaging region is fixed in；
5) imaging region is found, determines layer choosing information, is tuned, shimming, frequency correction and capability correction；
6) Chirp pulse power is measured；
7) it recalls in step 3) through the sequence of compiling, the pulse of Chirp linear frequency sweep and spiral decoding gradient of generation is added, if
Relevant parameter is set；
8) layer choosing parameter is set, and acquisition image obtains k-space data；
9) gridding processing is carried out to the k-space data that step 8) obtains, and carries out super-resolution rebuilding.
2. two-dimension time-space coding as described in claim 1 sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing, feature
It is in step 2), the spiral decoding gradient is to solve to obtain by phase plane algorithm.
3. two-dimension time-space coding as described in claim 1 sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing, feature
It is in step 3), the structure of the sequencer program code is followed successively by 90 ° of sections and selects excitation pulse, 180 ° of phase Victoria C hirp arteries and veins
Punching, 180 ° of frequency Victoria C hirp pulses, 90 ° of sections select storage pulse, 90 ° of layer choosing pulses, spiral sampling gtadient echo chain and sequence
In destruction gradient.
4. two-dimension time-space coding as described in claim 1 sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing, feature
It is in step 6), the sequence of the measurement Chirp pulse power is one-dimensional space-time code sequence.
5. two-dimension time-space coding as described in claim 1 sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing, feature
It is in step 7), the parameter is swept bandwidth, time and the power of Chirp pulse, spiral decoding gradient power.
6. two-dimension time-space coding as described in claim 1 sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing, feature
It is in step 8), the layer choosing parameter is the FOV of interested target area, the number of plies, thickness, position.
7. two-dimension time-space coding as described in claim 1 sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing, feature
It is in step 9), the gridding processing is to carry out phase weighting to sampled signal, in order to subsequent interpolation operation, two dimension
The spiral sampling space of space-time code is a space associated with position, by the method for interpolation by data gridding to flute
Karr coordinate system carries out super-resolution rebuilding to the data after interpolation.
8. two-dimension time-space coding as described in claim 1 sweeps the sampling of magnetic resonance imaging non-Cartesian and method for reconstructing, feature
It is in step 9), the reconstruction formula of the super-resolution rebuilding algorithm are as follows:
S=φxρφy
Wherein, φxAnd φyThe respectively coefficient matrix of frequency peacekeeping phase dimension, S is under the cartesian coordinate system after gridding
Data, ρ are to reconstruct the high quality image come.
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Cited By (2)
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| CN112557978A (en) * | 2020-11-26 | 2021-03-26 | 上海交通大学 | Multi-echo sampling method based on three-dimensional non-Cartesian trajectory |
| CN112965018A (en) * | 2021-03-16 | 2021-06-15 | 厦门大学 | Multi-echo sampling and reconstruction method based on space-time coding spiral magnetic resonance imaging |
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