CN103901379A - Magnetic resonance scanning imaging method and system - Google Patents
Magnetic resonance scanning imaging method and system Download PDFInfo
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Abstract
Provided are a magnetic resonance scanning imaging method and system. The method comprises the steps that according to magnetic resonance signals, K space data are collected; when the linear increment of the K space data is larger than or equal to a preset threshold value, based on the K space data, image reestablishing is carried out, and magnetic resonance images are obtained; and the magnetic resonance images are displayed in real time. The system comprises a sampling unit, a judging unit, an image reestablishing unit and an image displaying unit. The influence on scanning imaging speed caused by the fact that scanning parameters are not properly configured is avoided or lowered, and on the basis that the image quality requirement is met, scanning imaging speed is increased.
Description
Technical field
The present invention relates to medical imaging field, relate in particular to a kind of magnetic resonance imaging formation method and system.
Background technology
At present, mr imaging technique (Magnetic Resonance Imaging, MRI) as a kind of multi-field achievements in research such as physics, chemistry, biology, medical science of having concentrated in interior computer generated image technology, be widely used in Medical Imaging check in.
Fig. 1 shows the basic procedure of magnetic resonance imaging imaging in prior art.With reference to figure 1, the groundwork stream of magnetic resonance imaging comprises: according to patient's specificity, optimize scan protocols.Described scan protocols comprises that rebuilding the required line of image counts requirement.Start scanning, excite related hardware, produce even magnetic field.Image data, stops scanning until the data that gather meet after the line number arranging in scan protocols requires.Data based on gathering are carried out image reconstruction, and reconstruction gained image is stored in disk.When needs show image, transfer related data in disk, realize the demonstration of image.
Realizing in process of the present invention, inventor finds that in prior art, at least there are the following problems:
Although the measured result that at present MR equipment can be based on certain sample size in the time dispatching from the factory, the pre-configured scan protocols of just establishing.But due to patient's specificity, these first setting parameters (being disposed in scan protocols) can not be advantageously applied to each patient.Therefore, in practical operation, still need operating personnel by virtue of experience to carry out the optimization of sweep parameter.In order to improve scan efficiency, operating personnel also often need to revise " average time " parameter, to reduce scanning times simultaneously.Therefore, revise parameter and inevitably increased operating personnel's job step.
On the other hand, due to the own horizontal constraints of complicated incidence relation and operating personnel between numerous parameters, operating personnel usually cannot accurately expect whether optimized parameter can obtain sufficient signal to noise ratio (S/N ratio), and output meets the picture of medical diagnosis demand.May, owing to revising the incorrect poor image of output quality that causes of parameter, have influence on the contrary scan efficiency.Even if picture quality can be accepted, because operating personnel carry out manual operation based on experience, so the imaging results of gained may not be also optimum.
Moreover, because operating personnel could judge that whether picture quality is good after need to seeing picture, and prior art just shows image after gathering complete data, by the time operating personnel have seen image, now find that picture quality has flaw, inevitably caused the waste of acquisition time and the loss of system equipment.
Application publication number is in the Chinese invention patent application of CN102540116A, has disclosed a kind of MR imaging method and system.The technical scheme of this patented claim, by reducing sampling quantity, is utilized the method for part fourier methods completion sampled data, reduces sweep time, improves image taking speed.Although this technical scheme has been accelerated scanning imagery speed to a certain extent, the also improper problem of unresolved possible configuration parameter still.
Summary of the invention
Technical matters to be solved by this invention is avoid or reduce the impact of sweep parameter mis-arrange on scanning imagery speed, and on the basis that meets picture quality, accelerates scanning imagery speed.
In order to address the above problem, according to an aspect of the present invention, provide a kind of magnetic resonance imaging formation method, comprising:
According to magnetic resonance signal, gather K spatial data;
Count recruitment when the line of described K spatial data and be more than or equal to predetermined threshold value, carry out image reconstruction based on described K spatial data, obtain magnetic resonance image (MRI);
And show in real time described magnetic resonance image (MRI).
In one embodiment, before described collection K spatial data, also comprise:
Optimize scan protocols;
Send enabled instruction, start magnetic resonance imaging;
Based on the sweep parameter being disposed in described scan protocols, excite hardware, produce magnetic resonance signal.
In one embodiment, described optimization scan protocols comprises: adjust or calculate the sweep parameter being disposed in described scan protocols.
In one embodiment, described sweep parameter comprises: the fill order of magnetic resonance image (MRI) resolution, described K spatial data, the number of buses of described K spatial data, image rebuilding method, described predetermined threshold value.
In one embodiment, described predetermined threshold value comprises: first imaging threshold value and follow-up imaging threshold value;
The described line when described K spatial data is counted recruitment and is more than or equal to predetermined threshold value, carries out image reconstruction comprise based on described K spatial data: count recruitment while being more than or equal to described first imaging threshold value when the line of described K spatial data, carry out first image reconstruction; After described first image reconstruction, count recruitment and be more than or equal to described follow-up imaging threshold value whenever the line of K spatial data, carry out image reconstruction one time.
In one embodiment, described first imaging threshold value is described number of buses 12% ~ 30%;
Described follow-up imaging threshold value is described number of buses 2% ~ 5%.
In one embodiment, described image rebuilding method comprises: method of interpolation or zero filling method.
In one embodiment, after described real-time demonstration magnetic resonance image (MRI), also comprise: after receiving halt instruction, stop magnetic resonance imaging.
In one embodiment, described magnetic resonance image (MRI) is stored in buffer area;
Described real-time demonstration magnetic resonance image (MRI) comprises: read the magnetic resonance image (MRI) in described buffer area, be shown on system interface.
In one embodiment, described magnetic resonance image (MRI) is stored in buffer area;
Described real-time demonstration magnetic resonance image (MRI) comprises: read the magnetic resonance image (MRI) in described buffer area, be shown on system interface;
Described stop magnetic resonance imaging after, also comprise: the magnetic resonance image (MRI) being shown on system interface is stored to disk.
In one embodiment, also comprise before exciting hardware described: the line number of the K spatial data that statistics has gathered; In the time that the line number of the K spatial data having gathered is more than or equal to described number of buses, stop exciting hardware.
According to another aspect of the present invention, also provide a kind of magnetic resonance imaging imaging system, having comprised:
Sampling unit, for according to acquisition of magnetic resonance signals K spatial data;
Judging unit, counts recruitment and predetermined threshold value for the line based on described K spatial data, determines whether to carry out image reconstruction;
Image reconstruction unit, for carrying out image reconstruction based on described K spatial data, obtains magnetic resonance image (MRI);
Image-display units, for showing in real time described magnetic resonance image (MRI);
In one embodiment, also comprise:
Optimize unit, for optimizing scan protocols;
Start unit, for sending enabled instruction, starts magnetic resonance imaging;
Excite unit, for the sweep parameter based on being disposed at described scan protocols, excite hardware, produce magnetic resonance signal.
In one embodiment, described sweep parameter comprises: the fill order of magnetic resonance image (MRI) resolution, described K spatial data, the number of buses of described K spatial data, image rebuilding method, described predetermined threshold value.
In one embodiment, described predetermined threshold value comprises: first imaging threshold value and follow-up imaging threshold value;
Described judging unit comprises: first judging unit and follow-up judging unit, and described first judging unit is counted recruitment and first imaging threshold value for the line based on described K spatial data, determines whether to carry out first image reconstruction; Described follow-up judging unit is counted recruitment and follow-up imaging threshold value for the line based on described K spatial data, determines whether to carry out successive image reconstruction.
In one embodiment, described first imaging threshold value is described number of buses 12% ~ 30%;
Described follow-up imaging threshold value is described number of buses 2% ~ 5%.
In one embodiment, the method for described image reconstruction comprises method of interpolation or zero filling method.
In one embodiment, also comprise,
Stop element, for after receiving halt instruction, stops magnetic resonance imaging.
In one embodiment, described magnetic resonance image (MRI) is stored in buffer area;
Described image-display units also comprises: reading unit, and for reading the magnetic resonance image (MRI) of described buffer area.
In one embodiment, described magnetic resonance image (MRI) is stored in buffer area;
Described image-display units also comprises: reading unit, for reading the magnetic resonance image (MRI) of described buffer area;
Also comprise storage unit, after stopping magnetic resonance imaging for described stop element, the magnetic resonance image (MRI) being shown on system interface is stored to disk.
In one embodiment, also comprise:
Collection capacity statistic unit, for adding up the line number of the K spatial data having gathered;
Collection capacity control module, for the K spatial data line number and the described number of buses that have gathered described in relatively, in the time that the K spatial data having gathered is more than or equal to described number of buses, excites unit to stop exciting hardware described in control.
Compared with prior art, technical scheme of the present invention has the following advantages:
1, the present invention has gathered partial data and has just started the image reconstruction of deficiency of data, and shows in real time magnetic resonance image (MRI), has saved the time of repeatedly revising parameter before magnetic resonance imaging.And just start to rebuild and show image owing to having gathered partial data, thereby saved the stand-by period before demonstration image.Owing to showing that in real time image, the operator that is more convenient for realize the quality problems of image (such as artifact etc.) early, convenient operation person gets involved correction early, has avoided the unnecessary waste of sweep time.In addition along with the increase of image data, the picture quality of rebuilding and show is also improved gradually, operator can be according to the picture quality of real-time demonstration, determine whether to continue image data, to save unnecessary data acquisition time, thereby can on the basis that meets picture quality, accelerate the speed of scanning imagery.
2, in possibility, considering on the basis of calculated amount and scan efficiency, by setting predetermined threshold value, defining the frequency of reconstruction-demonstration image.Only, in the time that the new data that gather reach a certain amount of, just carry out the reconstruction-demonstration of an image, in effectively improving scan efficiency, saved the expense of calculated amount.
3, in possibility, optimized the storage mode of image, only preserved for a long time the net result of magnetic resonance image (MRI), the middle magnetic resonance image (MRI) in reconstruction-procedure for displaying is only temporary in buffer area.Save disk storage space on the one hand, improved on the other hand the speed of real-time demonstration.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a prior art of magnetic resonance imaging formation method;
Fig. 2 is the process flow diagram of magnetic resonance imaging formation method the first embodiment of the present invention;
Fig. 3 is the process flow diagram of magnetic resonance imaging formation method the second embodiment of the present invention;
Fig. 4 is the data flow diagram of magnetic resonance imaging formation method the second embodiment of the present invention;
Fig. 5 ~ Figure 12 is each stage result schematic diagram in magnetic resonance imaging formation method the second embodiment of the present invention;
Figure 13 is the structural representation of magnetic resonance imaging imaging system the first embodiment of the present invention;
Figure 14 is the structural representation of magnetic resonance imaging imaging system the second embodiment of the present invention.
Embodiment
A lot of details are set forth in the following description so that fully understand the present invention.But the present invention can implement to be much different from alternate manner described here, and those skilled in the art can do similar popularization without prejudice to intension of the present invention in the situation that, and therefore the present invention is not subject to the restriction of following public concrete enforcement.
Secondly, the present invention utilizes schematic diagram to be described in detail, and in the time that the embodiment of the present invention is described in detail in detail, for ease of explanation, described schematic diagram is example, and it should not limit the scope of protection of the invention at this.
In order to solve the technical matters in background technology, the invention provides a kind of magnetic resonance imaging formation method.Fig. 2 is the process flow diagram of magnetic resonance imaging formation method the first embodiment of the present invention.As shown in Figure 2, the present embodiment comprises the following steps:
Execution step S201, according to magnetic resonance signal, gathers K spatial data.
Particularly, K space, also referred to as Fourier space, is the packing space with the MR signal raw data of space orientation coded message.Each width MR image has its corresponding K spatial data.K spatial data is carried out to Fourier transform, just can decode to the space orientation coded message in raw data, the MR information distribution of unlike signal intensity, to corresponding locus, just can be reconstructed to MR image.In two-dimentional K space, coordinate Kx and Ky represent respectively frequency coding direction and the phase-encoding direction of MR signal.In the MR of two dimensional image signal acquisition process, the size and Orientation of the frequency coding gradient fields of each MR signal remains unchanged, the direction of phase encoding gradient field and field intensity change with certain step level, therefore the phase encoding of each MR signal changes once, collects a line of MR signal filling K space Ky direction.
Execution step S202, the line that judges K spatial data is counted recruitment and whether is more than or equal to predetermined threshold value.
If counting recruitment, the line of K spatial data is less than predetermined threshold value, show that the new line number gathering is still not enough so that this image reconstruction can improve image quality significantly compared with last image reconstruction, so continue execution step S201, according to magnetic resonance signal, gather K spatial data.
Be more than or equal to predetermined threshold value if the line of K spatial data is counted recruitment, perform step S203, carry out image reconstruction based on K spatial data, obtain magnetic resonance image (MRI).Particularly, described image reconstruction is in the case of the line number in described K space does not fill up, the image reconstruction that the line number based on having filled carries out.It will be understood by those skilled in the art that existing multiple prior art can realize the image reconstruction of deficiency of data, such as: method of interpolation, zero filling method etc., the present invention does not do concrete restriction to this.
Those skilled in the art are further appreciated that through rebuilding the picture quality and the original K space data quantity that obtain proportional.Line number is fewer, and correspondingly signal noise ratio (snr) of image is poorer, and image resolution ratio is also lower.Along with increasing of the raw data gathering, the quality of correspondingly rebuilding the magnetic resonance image (MRI) obtaining also can correspondingly improve.But the present invention does not do concrete restriction to rebuilding the required data volume of image.
Further, owing to lacking original K spatial data early stage, the picture quality of rebuilding acquisition is not ideal enough, is not enough to meet diagnosis needs, the practical significance of therefore not preserving.So, only the magnetic resonance image (MRI) obtaining through image reconstruction is temporary in buffer area.
Execution step S204, shows described magnetic resonance image (MRI) in real time.Particularly, by reading the magnetic resonance image (MRI) in described buffer area, be shown in real time on system interface rebuild the magnetic resonance image (MRI) obtaining based on deficiency of data.It will be understood by those skilled in the art that existing multiple prior art can realize the real-time demonstration of rebuilding image, the present invention does not do concrete restriction to this.By real-time demonstration, operating personnel can check intuitively based on the scanning imagery effect of image data.Once imaging can meet quality standard, can stop continuing image data, without wired number of filling full K space, save sweep time, accelerate scanning imagery speed.On the other hand, also can find as early as possible the applicability defect of sweep parameter, adopt remedial measures early.Particularly, described remedial measures can comprise: handoff functionality is set, in the time finding to use scan imaging method of the present invention cannot form applicable magnetic resonance image (MRI), switch to the manual configuration sweep parameter method of prior art, for its specificity sweep parameter of patient's manual configuration, one flags parameters can be set in scan protocols, to distinguish the manual configuration sweep parameter method that uses scan imaging method of the present invention or use prior art.
The present embodiment also can comprise: receiving after halt instruction, stop magnetic resonance imaging (not shown), and described stop magnetic resonance imaging after, the magnetic resonance image (MRI) being shown on system interface is stored to disk (not shown).Only the magnetic resonance image (MRI) being finally presented on system interface is stored in to disk, has both met actual diagnosis needs, saved again storage space.
It should be noted that, it will be understood by those skilled in the art that gathering original K spatial data, carrying out image reconstruction and show in real time between magnetic resonance image (MRI) three based on the raw data having gathered is a real-time parallel and the continuous process repeating.
The reconstruction image of the present embodiment based on deficiency of data also shows image in real time, imaging results is intuitively showed to operating personnel, operating personnel can determine whether stop scanning according to image quality, and all gather complete without the line number of mechanically waiting for K space, save sweep time, accelerated scan efficiency.
Fig. 3 is the process flow diagram of magnetic resonance imaging formation method the second embodiment of the present invention.Different from last embodiment, the present embodiment balance calculated amount and scan efficiency, configured the frequency of reconstruction-demonstration, in effectively improving scan efficiency, saved the expense of calculated amount.The present embodiment has also increased hardware shooting conditions simultaneously, to avoid image data to overflow.As shown in Figure 3, the present embodiment comprises the following steps:
Execution step S301, optimizes scan protocols.Particularly, described optimization scan protocols comprises: adjust or calculate the sweep parameter being disposed in described scan protocols.Sweep parameter in the present embodiment comprises: the fill order of magnetic resonance image (MRI) resolution, described K spatial data, the number of buses of described K spatial data, image rebuilding method, described predetermined threshold value.
Particularly, described magnetic resonance image (MRI) resolution is determined by actual diagnostic requirements.Can calculate the number of buses of required K spatial data according to described magnetic resonance image (MRI) resolution.Between the fill order of described K spatial data and described image rebuilding method, there is the conformity relation of coupling, such as: while filling centered by the fill order of described K spatial data, owing to starting data stuffing from K space center, so K space periphery lacks raw data, cannot use method of interpolation to carry out image reconstruction, therefore it is comparatively suitable to adopt zero filling method to carry out image reconstruction.
In the present embodiment, described predetermined threshold value is relevant with described number of buses.Particularly, described predetermined threshold value comprises: first imaging threshold value and follow-up imaging threshold value.Described first imaging threshold value has determined to start to carry out the minimum rate of accumulation number of image reconstruction.Described follow-up imaging threshold value has determined to increase gradually the frequency of carrying out image reconstruction along with line number.If first imaging Threshold is too small, although operating personnel can observe image earlier, because original data volume is less, front image quality several times may all cannot meet diagnostic requirements, causes meaningless calculating.If first imaging Threshold is excessive, operating personnel's stand-by period in early stage longer, be unfavorable for early finding and correction problem, and compared with prior art, cannot represent more significantly advantage of the present invention.Therefore, preferably, first imaging threshold value is set is described number of buses 12% ~ 30%.If follow-up imaging Threshold is too small, the reconstruction of image and demonstration are in real time comparatively frequent, and computing cost is larger, and the image at every turn reconstructing is limited because original data volume increases, and compared with previous reconstructed results, may improve also not obvious.If follow-up imaging Threshold is excessive, the time of waiting between twice reconstruction is longer, is unfavorable for the real-time demonstration of image, is also unfavorable for that operating personnel stop scanning in time, and the sweep time of saving is limited, may cause unnecessary data acquisition.Therefore, preferably, follow-up imaging threshold value is set is described number of buses 2% ~ 5%.
Execution step S302, sends enabled instruction, starts magnetic resonance imaging.
Execution step S303, whether the line number of the K spatial data that judgement has gathered is more than or equal to number of buses.Particularly, described number of buses is disposed in scan protocols.If the line number of the K spatial data having gathered has been more than or equal to number of buses, illustrate that K spatial data fills up, continue image data and may cause data from overflow, but now operating personnel do not provide halt instruction (operating personnel determine whether stop scanning according to picture quality) yet, need to consider that sweep parameter is not suitable for this patient, for this patient carries out the configuration of specificity sweep parameter, perform step S304, stop exciting hardware, magnetic resonance imaging finishes, after reconfiguring sweep parameter, again start magnetic resonance imaging.
If the line number of the K spatial data having gathered is less than number of buses, continue execution step S305, based on the sweep parameter being disposed in scan protocols, excite hardware, produce magnetic resonance signal.
Execution step S306, according to magnetic resonance signal, gathers K spatial data.
Execution step S307, has judged whether image reconstruction for the first time.If first image reconstruction mistake also continues execution step S308, the line that judges K spatial data is counted recruitment and whether is more than or equal to first imaging threshold value.Be less than first imaging threshold value if the line of K spatial data is counted recruitment, start to continue to carry out from step S303, continue to gather more raw data, to meet the minimum data amount requirement of carrying out image reconstruction.Be more than or equal to first imaging threshold value if the line of K spatial data is counted recruitment, perform step S309, carry out first image reconstruction.
If rebuild image, perform step S310, the line that judges K spatial data is counted recruitment and whether is more than or equal to follow-up imaging threshold value.Be less than follow-up imaging threshold value if the line of K spatial data is counted recruitment, start to continue to carry out from step S303, continue to gather more raw data, to generate the magnetic resonance image (MRI) that quality is higher.Be more than or equal to follow-up imaging threshold value if the line of K spatial data is counted recruitment, perform step S311, carry out image reconstruction.
The method that first image reconstruction and successive image are rebuild, as described in last embodiment, does not repeat them here.
Continue execution step S312, show in real time described magnetic resonance image (MRI).
Execution step S313, judges whether to receive halt instruction.If do not receive halt instruction, start to continue to carry out from step S303, continue to gather more raw data, to generate the magnetic resonance image (MRI) that quality is higher.
If receive halt instruction, perform step S314, stop magnetic resonance imaging.Further, due to actual scanning operator and final image user's nonidentity, also can be according to the actual requirements, determine whether need to preserve the magnetic resonance image (MRI) being finally presented on system interface.If desired preserve, magnetic resonance image (MRI) is stored to disk.
In order to be illustrated more clearly in the improvement of image storage mode in the present embodiment, Fig. 4 shows image data stream in the present embodiment.As shown in Figure 4, in the present embodiment, generate magnetic resonance image (MRI) based on image reconstruction assembly.Described magnetic resonance image (MRI) is stored in the buffer area of magnetic resonance imaging imaging system.Due in the present embodiment before not stopping magnetic resonance imaging or before not stopping exciting hardware, can continuously carry out reconstruction and the demonstration of image, so can correspondingly generate how secondary magnetic resonance image (MRI).In order to meet the read or write speed demand showing in real time, these images are all stored in (reading speed of buffer area is better than disk) in buffer area.Show that the sequencing that image component (not shown) forms according to image reads magnetic resonance image (MRI) successively from described buffer area, and be shown on corresponding system interface, observe, detect for operating personnel.If stopping needing to preserve image after scanning, only by be finally shown in the magnetic resonance image data that meets quality standard on interface by buffer area persistence to disk, discharge the corresponding storage space of buffer area simultaneously.Compared to the storage mode of prior art, one aspect of the present invention has been saved disk storage space, has improved on the other hand the speed of real-time demonstration.
Below in conjunction with the drawings and specific embodiments, technical scheme of the present invention is described further.
Fig. 5 ~ Figure 12 is each stage result schematic diagram in magnetic resonance imaging formation method the second embodiment of the present invention.
As shown in Figure 5, the number of buses in the K space of the present embodiment is 256.Centered by the fill order that the present embodiment adopts, fill, the K spatial data that therefore gathered will, from the Ky=0 of center, be filled to periphery symmetrically.Accordingly, the image rebuilding method that the present embodiment adopts is zero filling method, that is: fill after 0 in the K space line of not filling raw data, carries out image reconstruction based on 256 line numbers.The initial imaging threshold value of the present embodiment is 16 K space line.In Fig. 5, gather 16 raw data (Ky=-7 to Ky=7), met initial imaging threshold value, can carry out first image reconstruction.
16 raw data that Fig. 6 shows based on shown in Fig. 5 are carried out the magnetic resonance image (MRI) that first image reconstruction obtains.Because original data volume is less, so image shown in Fig. 6 is comparatively fuzzy.
Follow-up imaging threshold value in the present embodiment is also 16 K space line.In Fig. 7, in K space 32 of Ky=-15 to Ky=15 K space line collected raw data fill.The line of K spatial data count recruitment be 16(: 32-16), met follow-up imaging threshold value, therefore can carry out image reconstruction again.
32 raw data that Fig. 8 shows based on shown in Fig. 7 are carried out again the magnetic resonance image (MRI) that image reconstruction obtains.Visible, along with increasing of raw data, the picture quality of Fig. 8 is obviously better than Fig. 6.
Fig. 9 shows based on 48 raw data and carries out again the magnetic resonance image (MRI) that image reconstruction obtains.
Figure 10 shows based on 64 raw data and carries out again the magnetic resonance image (MRI) that image reconstruction obtains.
Figure 11 shows based on 80 raw data and carries out again the magnetic resonance image (MRI) that image reconstruction obtains.
Contrasting each figure can find, along with the raw data gathering is more and more, rebuilds and the picture quality that shows is also become better and better.In the present embodiment, operating personnel think that the magnetic resonance image (MRI) based on 80 Raw Data Generations can meet diagnostic requirements, therefore sent and stopped scan instruction having gathered after 80 raw data, so also, just without gathering again remaining 176 raw data (that is: number of buses-gathered line number), saved sweep time.Meanwhile, by observing Fig. 6, the image in each stage of Fig. 8 ~ Figure 11, can find in time quality flaw (such as: there is artifact), make in time counter-measure, avoid waste sweep time.
As a comparison, Figure 12 carries out the magnetic resonance image (MRI) that image reconstruction obtains after showing and gathering full 256 raw data.Compared with Figure 11, the picture quality of Figure 12 is obviously more excellent, but in order to obtain image shown in Figure 12, operator must wait for the longer time.And if in practical operation, do not need high quality graphic like this, carry out image reconstruction and demonstration based on total data, can reduce on the one hand the efficiency of scanning imagery, increase on the other hand the meaningless loss of equipment.
It should be noted that, through the above description of the embodiments, those skilled in the art can be well understood to and of the present inventionly partly or entirely can realize by software and in conjunction with essential general hardware platform.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product can comprise the one or more machine readable medias that store machine-executable instruction on it, and these instructions can make these one or more machines carry out executable operations according to embodiments of the invention in the time being carried out by one or more machines such as such as computing machine, computer network or other electronic equipments.Machine readable media can comprise, but be not limited to floppy disk, CD, CD-ROM(compact-disc-ROM (read-only memory)), magneto-optic disk, ROM(ROM (read-only memory)), RAM(random access memory), EPROM(Erasable Programmable Read Only Memory EPROM), EEPROM(Electrically Erasable Read Only Memory), magnetic or optical card, flash memory or be suitable for the medium/machine readable media of the other types of storing machine-executable instruction.
The present invention can be used in numerous general or special purpose computingasystem environment or configuration.For example: personal computer, server computer, handheld device or portable set, plate equipment, multicomputer system, system, set top box, programmable consumer-elcetronics devices, network PC, small-size computer, mainframe computer based on microprocessor, comprise the distributed computing environment of above any system or equipment etc.
The present invention can describe in the general context of the computer executable instructions of being carried out by computing machine, for example program module.Usually, program module comprises and carries out particular task or realize routine, program, object, assembly, data structure of particular abstract data type etc.Also can in distributed computing environment, put into practice the application, in these distributed computing environment, be executed the task by the teleprocessing equipment being connected by communication network.In distributed computing environment, program module can be arranged in the local and remote computer-readable storage medium including memory device.
The present invention also provides a kind of magnetic resonance imaging imaging system.Figure 13 is the structural representation of magnetic resonance imaging imaging system the first embodiment of the present invention.As shown in figure 13, the present embodiment comprises: sampling unit U101, judging unit U102, image reconstruction unit U103, image-display units U104.
Sampling unit U101, the K spatial data forming for gathering described magnetic resonance.
Judging unit U102, is connected with described sampling unit U101, counts recruitment and predetermined threshold value for the line based on described K spatial data, determines whether to carry out image reconstruction.
Image reconstruction unit U103, is connected with described judging unit U102, for carrying out image reconstruction based on described K spatial data, obtains magnetic resonance image (MRI).Can adopt method of interpolation or zero filling method to carry out described image reconstruction.
Image-display units U104, is connected with described image reconstruction unit U3, for showing described magnetic resonance image (MRI).
The specific works mode of the present embodiment can, with reference to elaboration above, repeat no more herein.
Figure 14 is the structural representation of magnetic resonance imaging imaging system the second embodiment of the present invention.As shown in figure 14, the present embodiment comprises: optimize unit U201, start unit U202, collection capacity statistic unit U203, collection capacity control module U204, excite unit U205, sampling unit U206, judging unit U207, image reconstruction unit U208, image-display units U209, stop element U210, storage unit U211.
Optimize unit U201, for optimizing scan protocols.
Start unit U202, unit U201 is connected with described optimization, for sending enabled instruction, starts magnetic resonance imaging.
Collection capacity statistic unit U203, is connected with described start unit U202, for adding up the line number of the K spatial data having gathered.
Collection capacity control module U204, be connected with described collection capacity statistic unit U203, for the K spatial data line number and the described number of buses that have gathered described in relatively, in the time that the K spatial data having gathered is more than or equal to described number of buses, excite unit to stop exciting hardware described in control.
Excite unit U205, be connected with described collection capacity control module U204, for the sweep parameter based on being disposed at described scan protocols, excite hardware, produce magnetic resonance signal.Particularly, described sweep parameter comprises: the fill order of magnetic resonance image (MRI) resolution, described K spatial data, the number of buses of described K spatial data, image rebuilding method, described predetermined threshold value.
Sampling unit U206, is connected with the described unit U205 that excites, for according to acquisition of magnetic resonance signals K spatial data.
Judging unit U207, is connected with described sampling unit U206, counts recruitment and predetermined threshold value for the line based on described K spatial data, determines whether to carry out image reconstruction.Further, described judging unit U207 comprises: first judging unit U2071, follow-up judging unit U2072.Described first judging unit U2071 counts recruitment and first imaging threshold value for the line based on described K spatial data, determines whether to carry out first image reconstruction.Preferably, described first imaging threshold value is described number of buses 12% ~ 30%.Described follow-up judging unit U2072 counts recruitment and follow-up imaging threshold value for the line based on described K spatial data, determines whether to carry out successive image reconstruction.Preferably, described follow-up imaging threshold value is described number of buses 2% ~ 5%.
Image reconstruction unit U208, is connected with described judging unit U207, for carrying out image reconstruction based on K spatial data, obtains magnetic resonance image (MRI).Further, described image reconstruction unit U208 comprises: first reconstruction unit U2081, subsequent reconstruction unit U2082.Described first reconstruction unit U2081, is connected with described first judging unit U2071, for carrying out first image reconstruction.Described follow-up judging unit U2072, is connected with described follow-up judging unit U2072, for carrying out successive image reconstruction.
Image-display units U209, is connected with described image reconstruction unit U208, for showing in real time described magnetic resonance image (MRI).Further, described image-display units U209 comprises: reading unit U2091, and for reading the magnetic resonance image (MRI) of described buffer area.
Stop element U210, is connected with described image-display units U209, for after receiving halt instruction, stops magnetic resonance imaging.
Storage unit U211, is connected with described stop element U210, after stopping magnetic resonance imaging, the magnetic resonance image (MRI) being shown on system interface is stored to disk for described stop element.
The specific works mode of the present embodiment, elaborates in the preceding article, repeats no more herein.
It should be noted that, it will be appreciated by those skilled in the art that, above-mentioned part assembly can be such as programmable logic array (Programmable Array Logic, PAL), generic array logic (Generic Array Logic, GAL), field programmable gate array (Field-Programmable Gate Array, FPGA), CPLD (Complex Programmable Logic Device, one or more in programmable logic device (PLD) such as CPLD), but the present invention does not do concrete restriction to this.
Although the present invention with preferred embodiment openly as above; but it is not for limiting the present invention; any those skilled in the art without departing from the spirit and scope of the present invention; can utilize method and the technology contents of above-mentioned announcement to make possible variation and modification to technical solution of the present invention; therefore; every content that does not depart from technical solution of the present invention; any simple modification, equivalent variations and the modification above embodiment done according to technical spirit of the present invention, all belong to the protection domain of technical solution of the present invention.
Claims (21)
1. a magnetic resonance imaging formation method, is characterized in that, comprising:
According to magnetic resonance signal, gather K spatial data;
Count recruitment when the line of described K spatial data and be more than or equal to predetermined threshold value, carry out image reconstruction based on described K spatial data, obtain magnetic resonance image (MRI);
And show in real time described magnetic resonance image (MRI).
2. magnetic resonance imaging formation method according to claim 1, is characterized in that, before described collection K spatial data, also comprises:
Optimize scan protocols;
Send enabled instruction, start magnetic resonance imaging;
Based on the sweep parameter being disposed in described scan protocols, excite hardware, produce magnetic resonance signal.
3. magnetic resonance imaging formation method according to claim 2, is characterized in that, described optimization scan protocols comprises: adjust or calculate the sweep parameter being disposed in described scan protocols.
4. magnetic resonance imaging formation method according to claim 3, it is characterized in that, described sweep parameter comprises: the fill order of magnetic resonance image (MRI) resolution, described K spatial data, the number of buses of described K spatial data, image rebuilding method, described predetermined threshold value.
5. magnetic resonance imaging formation method according to claim 4, is characterized in that,
Described predetermined threshold value comprises: first imaging threshold value and follow-up imaging threshold value;
The described line when described K spatial data is counted recruitment and is more than or equal to predetermined threshold value, carries out image reconstruction comprise based on described K spatial data: count recruitment while being more than or equal to described first imaging threshold value when the line of described K spatial data, carry out first image reconstruction; After described first image reconstruction, count recruitment and be more than or equal to described follow-up imaging threshold value whenever the line of K spatial data, carry out image reconstruction one time.
6. magnetic resonance imaging formation method according to claim 5, is characterized in that,
Described first imaging threshold value is described number of buses 12% ~ 30%;
Described follow-up imaging threshold value is described number of buses 2% ~ 5%.
7. according to the magnetic resonance imaging formation method described in claim 1 or 4, it is characterized in that, described image rebuilding method comprises: method of interpolation or zero filling method.
8. magnetic resonance imaging formation method according to claim 1, is characterized in that, after described real-time demonstration magnetic resonance image (MRI), also comprises: after receiving halt instruction, stop magnetic resonance imaging.
9. magnetic resonance imaging formation method according to claim 1, is characterized in that,
Described magnetic resonance image (MRI) is stored in buffer area;
Described real-time demonstration magnetic resonance image (MRI) comprises: read the magnetic resonance image (MRI) in described buffer area, be shown on system interface.
10. magnetic resonance imaging formation method according to claim 8, is characterized in that,
Described magnetic resonance image (MRI) is stored in buffer area;
Described real-time demonstration magnetic resonance image (MRI) comprises: read the magnetic resonance image (MRI) in described buffer area, be shown on system interface;
Described stop magnetic resonance imaging after, also comprise: the magnetic resonance image (MRI) being shown on system interface is stored to disk.
11. magnetic resonance imaging formation methods according to claim 4, is characterized in that, also comprise before exciting hardware: the line number of the K spatial data that statistics has gathered described; In the time that the line number of the K spatial data having gathered is more than or equal to described number of buses, stop exciting hardware.
12. 1 kinds of magnetic resonance imaging imaging systems, is characterized in that, comprising:
Sampling unit, for according to acquisition of magnetic resonance signals K spatial data;
Judging unit, counts recruitment and predetermined threshold value for the line based on described K spatial data, determines whether to carry out image reconstruction;
Image reconstruction unit, for carrying out image reconstruction based on described K spatial data, obtains magnetic resonance image (MRI);
Image-display units, for showing in real time described magnetic resonance image (MRI).
13. magnetic resonance imaging imaging systems according to claim 12, is characterized in that, also comprise:
Optimize unit, for optimizing scan protocols;
Start unit, for sending enabled instruction, starts magnetic resonance imaging;
Excite unit, for the sweep parameter based on being disposed at described scan protocols, excite hardware, produce magnetic resonance signal.
14. magnetic resonance imaging imaging systems according to claim 13, it is characterized in that, described sweep parameter comprises: the fill order of magnetic resonance image (MRI) resolution, described K spatial data, the number of buses of described K spatial data, image rebuilding method, described predetermined threshold value.
15. magnetic resonance imaging imaging systems according to claim 14, is characterized in that,
Described predetermined threshold value comprises: first imaging threshold value and follow-up imaging threshold value;
Described judging unit comprises: first judging unit and follow-up judging unit, and described first judging unit is counted recruitment and first imaging threshold value for the line based on described K spatial data, determines whether to carry out first image reconstruction; Described follow-up judging unit is counted recruitment and follow-up imaging threshold value for the line based on described K spatial data, determines whether to carry out successive image reconstruction.
16. magnetic resonance imaging imaging systems according to claim 15, is characterized in that,
Described first imaging threshold value is described number of buses 12% ~ 30%;
Described follow-up imaging threshold value is described number of buses 2% ~ 5%.
17. according to the magnetic resonance imaging imaging system described in claim 12 or 14, it is characterized in that, the method for described image reconstruction comprises method of interpolation or zero filling method.
18. magnetic resonance imaging imaging systems according to claim 12, is characterized in that, also comprise,
Stop element, for after receiving halt instruction, stops magnetic resonance imaging.
19. magnetic resonance imaging imaging systems according to claim 12, is characterized in that,
Described magnetic resonance image (MRI) is stored in buffer area;
Described image-display units also comprises: reading unit, and for reading the magnetic resonance image (MRI) of described buffer area.
20. magnetic resonance imaging imaging systems according to claim 18, is characterized in that,
Described magnetic resonance image (MRI) is stored in buffer area;
Described image-display units also comprises: reading unit, for reading the magnetic resonance image (MRI) of described buffer area;
Also comprise storage unit, after stopping magnetic resonance imaging for described stop element, the magnetic resonance image (MRI) being shown on system interface is stored to disk.
21. magnetic resonance imaging imaging systems according to claim 14, is characterized in that, also comprise:
Collection capacity statistic unit, for adding up the line number of the K spatial data having gathered;
Collection capacity control module, for the K spatial data line number and the described number of buses that have gathered described in relatively, in the time that the K spatial data having gathered is more than or equal to described number of buses, excites unit to stop exciting hardware described in control.
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104793160A (en) * | 2015-04-22 | 2015-07-22 | 南京医科大学 | Method for reducing frequency aliasing effect of undersampled magnetic resonance imaging |
| CN109009111A (en) * | 2018-07-16 | 2018-12-18 | 重庆大学 | Low-field nuclear magnetic resonance cerebral hemorrhage Holter Monitor control system |
| CN109633503A (en) * | 2018-12-28 | 2019-04-16 | 上海联影医疗科技有限公司 | MR image reconstruction method, apparatus, computer equipment and storage medium |
| CN109725274A (en) * | 2018-12-30 | 2019-05-07 | 上海联影医疗科技有限公司 | Magnetic Resonance Spectrum scanning and its scanning adjusting method, device, equipment and storage medium |
| CN110244246A (en) * | 2019-07-03 | 2019-09-17 | 上海联影医疗科技有限公司 | MR imaging method, device, computer equipment and storage medium |
| US10420526B2 (en) | 2014-12-31 | 2019-09-24 | Shenyang Neusoft Medical Systems Co., Ltd. | Optimizing CT scanning parameter |
| CN112649775A (en) * | 2019-10-10 | 2021-04-13 | 上海联影医疗科技股份有限公司 | Magnetic resonance imaging control method and device |
| CN113440126A (en) * | 2020-03-26 | 2021-09-28 | 西门子医疗有限公司 | Method for providing a flow plan for a magnetic resonance examination |
| CN114280517A (en) * | 2021-12-27 | 2022-04-05 | 深圳市联影高端医疗装备创新研究院 | Magnetic resonance imaging method, device, equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6377831B1 (en) * | 1999-11-24 | 2002-04-23 | General Electric Company | Real-time MR image subtraction and reconstruction |
| US20040000907A1 (en) * | 2002-06-28 | 2004-01-01 | Ahluwalia Baldev S. | Technique for simultaneous acquisition of multiple independent MR imaging volumes with optimization of magnetic field homogeneity for spin preparation |
| WO2008137783A2 (en) * | 2007-05-02 | 2008-11-13 | Koninklijke Philips Electronics N.V. | Parameter free regularized partially parallel magnetic resonance imaging |
| US20090001984A1 (en) * | 2007-06-12 | 2009-01-01 | Ken-Pin Hwang | Method and apparatus for k-space and hybrid-space based image reconstruction for parallel imaging and artifact correction |
| WO2012085810A2 (en) * | 2010-12-22 | 2012-06-28 | Koninklijke Philips Electronics N.V. | Rapid parallel reconstruction for arbitrary k-space trajectories |
-
2012
- 2012-12-28 CN CN201210587140.4A patent/CN103901379B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6377831B1 (en) * | 1999-11-24 | 2002-04-23 | General Electric Company | Real-time MR image subtraction and reconstruction |
| US20040000907A1 (en) * | 2002-06-28 | 2004-01-01 | Ahluwalia Baldev S. | Technique for simultaneous acquisition of multiple independent MR imaging volumes with optimization of magnetic field homogeneity for spin preparation |
| WO2008137783A2 (en) * | 2007-05-02 | 2008-11-13 | Koninklijke Philips Electronics N.V. | Parameter free regularized partially parallel magnetic resonance imaging |
| US20090001984A1 (en) * | 2007-06-12 | 2009-01-01 | Ken-Pin Hwang | Method and apparatus for k-space and hybrid-space based image reconstruction for parallel imaging and artifact correction |
| WO2012085810A2 (en) * | 2010-12-22 | 2012-06-28 | Koninklijke Philips Electronics N.V. | Rapid parallel reconstruction for arbitrary k-space trajectories |
Non-Patent Citations (2)
| Title |
|---|
| JUN MIAO ET AL.: "K-space reconstruction with anisotropic kernel support (KARAOKE) for ultrafast partially parallel imaging", 《MEDICAL PHYSICS LETTER》 * |
| 翁卓等: "基于k空间加速采集的磁共振成像技术", 《中国生物医学工程学报》 * |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10420526B2 (en) | 2014-12-31 | 2019-09-24 | Shenyang Neusoft Medical Systems Co., Ltd. | Optimizing CT scanning parameter |
| CN104793160A (en) * | 2015-04-22 | 2015-07-22 | 南京医科大学 | Method for reducing frequency aliasing effect of undersampled magnetic resonance imaging |
| CN104793160B (en) * | 2015-04-22 | 2017-06-16 | 南京医科大学 | A kind of method of the frequency aliasing effect for reducing lack sampling magnetic resonance imaging |
| CN109009111A (en) * | 2018-07-16 | 2018-12-18 | 重庆大学 | Low-field nuclear magnetic resonance cerebral hemorrhage Holter Monitor control system |
| CN109633503A (en) * | 2018-12-28 | 2019-04-16 | 上海联影医疗科技有限公司 | MR image reconstruction method, apparatus, computer equipment and storage medium |
| CN109725274A (en) * | 2018-12-30 | 2019-05-07 | 上海联影医疗科技有限公司 | Magnetic Resonance Spectrum scanning and its scanning adjusting method, device, equipment and storage medium |
| CN109725274B (en) * | 2018-12-30 | 2021-03-09 | 上海联影医疗科技股份有限公司 | Magnetic resonance spectrum scanning and scanning adjusting method, device, equipment and storage medium thereof |
| CN110244246A (en) * | 2019-07-03 | 2019-09-17 | 上海联影医疗科技有限公司 | MR imaging method, device, computer equipment and storage medium |
| CN110244246B (en) * | 2019-07-03 | 2021-07-16 | 上海联影医疗科技股份有限公司 | Magnetic resonance imaging method, magnetic resonance imaging apparatus, computer device, and storage medium |
| CN112649775A (en) * | 2019-10-10 | 2021-04-13 | 上海联影医疗科技股份有限公司 | Magnetic resonance imaging control method and device |
| CN113440126A (en) * | 2020-03-26 | 2021-09-28 | 西门子医疗有限公司 | Method for providing a flow plan for a magnetic resonance examination |
| CN114280517A (en) * | 2021-12-27 | 2022-04-05 | 深圳市联影高端医疗装备创新研究院 | Magnetic resonance imaging method, device, equipment and storage medium |
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