CN112948747B - Method, device, terminal equipment and storage medium for searching center frequency - Google Patents
Method, device, terminal equipment and storage medium for searching center frequency Download PDFInfo
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Abstract
The embodiment of the invention discloses a method, a device, terminal equipment and a storage medium for searching center frequency, wherein the method for searching the center frequency comprises the following steps: constructing a standard function; obtaining an analog signal of a human body scanning part under a magnetic resonance field intensity system according to the standard function; collecting a group of collected signals of a human body scanning part under a magnetic resonance field intensity system; and comparing the analog signal with the acquired signal, wherein the corresponding frequency position is the central frequency when the acquired signal and the analog signal are maximally superposed. The method for searching the center frequency is only related to a standard function in the calculation process, whether the actually acquired signal is influenced by the environment or noise is not required to be considered, the center frequency can be determined according to the maximum similarity between the acquired signal and the analog signal, manual auxiliary positioning and confirmation are not required, and the accuracy and the stability are greatly improved.
Description
Technical Field
The present invention relates to the field of magnetic resonance systems, and in particular, to a method, an apparatus, a terminal device, and a storage medium for searching a center frequency.
Background
The magnetic resonance imaging system mainly collects signals of H protons in a human body, when the magnetic resonance system scans the human body, a plurality of complex water and fat signals are mixed, the human body signals comprise fat signals, water signals and interference signals generated by silica gel fillers in the human body, the human body signals present a plurality of signal peak values distributed in different frequency ranges, and the performances at different scanning parts cannot be completely consistent.
The existing method for searching the center frequency is to calculate the frequency difference between the water signal and the fat signal of the acquired signal by using the fixed frequency difference between water and fat, or add a manual judgment made water frequency position to obtain the center frequency value of the water signal. The existing center frequency searching method is single, cannot cope with the magnetic resonance center frequency searching of various field intensities, and cannot improve the accuracy when processing complex frequency distribution or interference conditions, for example, under the conditions of different scanning parts, the fat frequency signal intensity sometimes greatly exceeds the water frequency signal, and is mixed with interference signals, so that the frequency position of the water signal is not easy to be accurately searched. The frequency position of the water signal cannot be accurately judged by means of human eye judgment and the traditional water and fat fixed frequency calculation method, and if the position of the central frequency corresponding to the water signal cannot be accurately found, the scanned image is unclear during magnetic resonance.
Disclosure of Invention
In view of the above technical problems, embodiments of the present invention provide a method, an apparatus, a terminal device, and a storage medium for searching for a center frequency, which are not affected by a scanning portion, a magnetic resonance system field intensity, environmental noise, and other variable factors, and can still analyze and calculate a center frequency position of an optimal water signal for a signal generated by an interference signal such as a silica gel filler and a plurality of fat frequencies, so as to automatically and quickly search for an accurate center frequency, and improve image quality at the time of magnetic resonance.
A first aspect of an embodiment of the present invention provides a method for searching for a center frequency, including:
constructing a standard function;
obtaining an analog signal of a human body scanning part under a magnetic resonance field intensity system according to the standard function;
collecting a group of collected signals of the human body scanning part under the magnetic resonance field intensity system;
and comparing the analog signal with the acquired signal, wherein the corresponding frequency position is the central frequency when the acquired signal and the analog signal are maximally superposed.
Preferably, when the standard function is a gaussian function, one of the standard functions is obtained as follows:
stdSignal＝GenerateSimSig(N,Δf wf w) formula (1)
Wherein, in the formula (1), N represents the number of signal points, Δ f wf Representing the difference of water-fat frequency; w represents the specific gravity of the lipid peak to the water peak.
Preferably, the obtaining of the analog signal of the human body scanning part under the magnetic resonance field strength system according to the standard function specifically includes:
selecting a specific field intensity system and a human body scanning part, and determining the number of corresponding signal points, the water-fat frequency difference and the specific gravity of a fat peak and a water peak;
and substituting the number of signal points, the water-fat frequency difference and the specific gravity of the fat peak and the water peak into the standard function to obtain an analog signal.
Preferably, the comparing the analog signal with the collected signal, and when the collected signal diagram and the analog signal diagram reach maximum coincidence, the corresponding frequency position is the center frequency, specifically including:
calculating a cross-correlation matrix [ coef, pos ] of the analog signal and the acquired signal;
searching pos value when coef is maximum;
the pos value at the maximum coef is converted to the center frequency f.
Preferably, the cross-correlation matrix [ coef, pos ] is:
[coef,pos]＝cro_cor(stdSignal 0 realSignal) formula (2)
Wherein, in the formula (2), stdSignal 0 Representing the analog signal, realSignal represents the acquired signal, coef represents the correlation coefficient of the degree of coincidence of the analog signal and the acquired signal, and pos represents the relative distance that the analog signal moves with respect to the acquired signal.
A first aspect of an embodiment of the present invention provides an apparatus for searching for a center frequency, including:
the function constructing module is used for constructing a standard function;
the signal acquisition module is used for obtaining an analog signal of a human body scanning part under a magnetic resonance field strength system according to the standard function;
the signal acquisition module is used for acquiring a group of acquisition signals of the human body scanning part under the magnetic resonance field intensity system;
and the central frequency searching module is used for comparing the analog signal with the acquisition signal, and when the acquisition signal and the analog signal are maximally superposed, the corresponding frequency position is the central frequency.
Preferably, the signal acquisition module includes:
the system information acquisition unit is used for selecting a specific field intensity system and a human body scanning part and determining the corresponding signal point number, the water-fat frequency difference and the specific gravity of a fat peak and a water peak;
and the signal obtaining unit is used for substituting the number of signal points, the water-fat frequency difference and the specific gravity of the fat peak and the water peak into the standard function to obtain an analog signal.
Preferably, the center frequency searching module includes:
a correlation matrix calculation unit, configured to calculate a cross-correlation matrix [ coef, pos ] between the analog signal and the collected signal;
a numerical value searching unit for searching pos value when coef is maximum;
and a frequency conversion unit for converting pos value at the maximum coef value to the center frequency f.
A third aspect of an embodiment of the present invention provides a terminal device, including: at least one processor and a memory; the memory stores a computer program; the at least one processor executes the computer program stored in the memory to implement the method of finding a center frequency described above.
A fourth aspect of the embodiments of the present invention provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed, implements the method for finding a center frequency described above.
Compared with the prior art, the method for searching the center frequency in the technical scheme provided by the embodiment of the invention is only related to the standard function in the calculation process, does not need to consider whether the actually acquired signal is influenced by the environment or noise, can determine the center frequency according to the maximum similarity between the acquired signal and the analog signal, does not need to rely on manual auxiliary positioning and confirmation, greatly improves the searching accuracy and stability, and further improves the image quality during magnetic resonance.
Drawings
FIG. 1 is a flowchart of a method for collecting product anomalies according to an embodiment of the present invention.
FIG. 2 is a diagram of an analog signal according to an embodiment of the present invention.
FIG. 3 is a diagram showing the collected signals according to the embodiment of the present invention.
FIG. 4 is a diagram showing the relationship between the analog signal and the collected signal before searching.
FIG. 5 is a diagram showing the relationship between the analog signal and the collected signal after searching.
Fig. 6 is a schematic structural diagram of an apparatus for searching a center frequency according to an embodiment of the present invention.
Fig. 7 is a schematic structural diagram of a terminal device in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive step based on the embodiments of the present invention, are within the scope of protection of the present invention.
The invention provides a method for searching for center frequency, which is only related to a standard function in the calculation process, does not need to consider whether the actually acquired signals are influenced by environment or noise, can determine the center frequency according to the maximum similarity between the acquired signals and the analog signals, does not need to rely on manual auxiliary positioning and confirmation, and greatly improves the accuracy and the stability.
Fig. 1 is a flowchart of a method for finding a center frequency according to the present invention, and as shown in fig. 1, the method for finding a center frequency according to the present invention includes the steps of:
s1, constructing a standard function;
s2, obtaining an analog signal of a human body scanning part under a magnetic resonance field strength system according to the standard function;
s3, collecting a group of collected signals of the human body scanning part under a magnetic resonance field intensity system;
and S4, comparing the analog signal with the acquired signal, wherein the corresponding frequency position is the central frequency when the acquired signal and the analog signal are maximally superposed.
The following describes in detail the steps of the method of finding the center frequency:
first, it is necessary to construct a standard function for comparing with the actual collected signal, and the standard function may be a gaussian function or a trigonometric function, but the invention is not limited thereto, and any function having a higher similarity with the collected signal is within the scope of the invention. The step S1 specifically includes:
the invention is explained by taking a standard function as a Gaussian function as an example, and when the standard function is the Gaussian function, the standard function can be obtained as follows according to the priori knowledge that the fat frequency is less than the water frequency:
stdSignal＝GenerateSimSig(N,Δf wf w) formula (1)
Wherein, in the formula (1), stdSignal is a one-dimensional Gaussian curve, N represents the number of signal points, and Δ f wf Representing the difference of water-fat frequency; w represents the specific gravity of the lipid peak to the water peak.
After the standard function is constructed, obtaining an analog signal of a human body scanning part under a magnetic resonance field strength system according to the standard function, wherein the step S2 specifically comprises the following steps:
s21, selecting a specific field intensity system and a human body scanning part, and determining the number of corresponding signal points, the water-fat frequency difference and the specific gravity of a fat peak and a water peak.
Δ f in the standard function wf W can be flexibly adjusted according to the specific field strength system of the magnetic resonance and the different scanning parts of the human body, for example, the abdominal part is scanned under the 3.0T system, then, in this case, the delta f wf =450hz, w =2048, and the number of signal points is guaranteed to be consistent with the collected signal in the N selection process.
And S22, substituting the number of signal points, the water-fat frequency difference and the specific gravity of the fat peak and the water peak into the standard function to obtain an analog signal. At this time, the analog signal derived from the standard function:
stdSignal 0 ＝GenerateSimSig(2048,450,1.5)
the analog signal is shown in fig. 2, and as shown in fig. 2, the abscissa represents data points, and the ordinate represents frequency values, which are normalized for convenience. The higher peak on the left is the fat signal and the lower peak on the right is the water signal.
Further, before comparing the analog signal with the collected signal, a set of collected signals of the human body scanning part under the specific field strength system needs to be collected, and the step S3 specifically includes:
the invention collects the collected signals when the human abdomen is scanned under a 3.0T system, the display graph of the analog signals is shown in figure 3, wherein, the abscissa represents data points, the ordinate represents frequency values, and the frequency values are normalized for convenience.
Further, the analog signal is compared with the collected signal, and when the collected signal and the analog signal reach the maximum coincidence, the corresponding frequency position is the center frequency. In order to accurately distinguish the water signal and the fat signal of the acquired signal and accurately find out the center frequency, the invention takes the acquired signal as a target, and moves the analog signal, when the acquired signal and the analog signal are superposed to the maximum, the correlation degree of the analog signal and the acquired signal is the highest, and the center frequency can be deduced from the relative distance of the analog signal moving relative to the acquired signal. The step S4 specifically comprises the following steps:
and S41, calculating a cross-correlation matrix [ coef, pos ] of the analog signal and the acquired signal.
Wherein the cross-correlation matrix [ coef, pos ] is:
[coef,pos]＝cro_cor(stdSignal 0 realSignal) equation (2)
Wherein, in the formula (2), stdSignal 0 Represents an analog signal; realSignal represents the acquired signal; coef is a one-dimensional array and represents a correlation coefficient of the coincidence degree of the analog signal and the acquired signal; pos is a one-dimensional array representing the relative distance the analog signal has moved relative to the acquired signal.
S42, searching a pos value when coef is maximum;
the maximum value in the array coef represents that the correlation degree of the signals of the two is maximum, namely the coincidence degree of the analog signal and the collected signal is maximum, and the similarity is maximum. Fig. 4 is a diagram showing a relationship between analog signals and collected signals before searching, fig. 5 is a diagram showing a relationship between analog signals and collected signals after searching, the analog signals in fig. 4 are moved leftward by a pos value, and the analog signals and the collected signals achieve a maximum coincidence degree when the pos value is moved by the coef maximum value, as shown in fig. 5.
In step S43, the pos value at the time of coef maximum is converted into the center frequency f.
The pos value is converted to the center frequency according to the following equation:
wherein in formula (3), f is the center frequency, T is the sampling time interval of the collected signal, N 0 The number of sampling points for collecting signals.
Based on the above method for finding the center frequency, the present invention further provides a device for finding the center frequency, referring to fig. 6, the device 100 for finding the center frequency of the present invention includes:
a function constructing module 110, configured to construct a standard function;
the signal acquisition module 120 is configured to obtain an analog signal of a human body scanning part under a magnetic resonance field strength system according to the standard function;
a signal acquisition module 130, configured to acquire a set of acquisition signals of the human body scanning part under the magnetic resonance field strength system;
the center frequency searching module 140 is configured to compare the analog signal with the collected signal, and a corresponding frequency position when the collected signal and the analog signal are maximally overlapped is a center frequency.
Preferably, the signal acquiring module 120 includes:
a system information acquiring unit 121, configured to select a specific field strength system and a human body scanning part, and determine the number of corresponding signal points, the water-fat frequency difference, and the specific gravity between a fat peak and a water peak;
and the signal obtaining unit 122 is configured to substitute the number of signal points, the water-fat frequency difference, and the specific gravity of the fat peak and the water peak into the standard function to obtain an analog signal.
Preferably, the center frequency searching module 140 includes:
a correlation matrix calculation unit 141, configured to calculate a cross-correlation matrix [ coef, pos ] of the analog signal and the collected signal;
a numerical value searching unit 142, configured to search for a pos value when coef is the maximum value;
frequency conversion means 143 for converting pos value at the time of coef maximum value to center frequency f.
Fig. 7 is a schematic structural diagram of a terminal device according to the present invention, and as shown in fig. 7, the terminal device includes: at least one processor 701 and memory 702;
the memory stores a computer program; the at least one processor executes the computer program stored in the memory to implement the method for finding a center frequency provided by the above-mentioned embodiments.
Still another embodiment of the present invention provides a computer-readable storage medium, in which a computer program is stored, and the computer program, when executed, implements the method for finding a center frequency described above.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus, or computer program product. Accordingly, embodiments of the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, embodiments of the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
Embodiments of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, electronic devices (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing electronic device to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing electronic device, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing electronic devices to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing electronic device to cause a series of operational steps to be performed on the computer or other programmable electronic device to produce a computer implemented process such that the instructions which execute on the computer or other programmable electronic device provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While preferred embodiments of the present invention have been described, additional variations and modifications of these embodiments may occur to those skilled in the art once they learn of the basic inventive concepts. Therefore, it is intended that the appended claims be interpreted as including preferred embodiments and all such alterations and modifications as fall within the scope of the embodiments of the invention.
Finally, it should also be noted that, in this document, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "include", "including" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article, or electronic device including a series of elements includes not only those elements but also other elements not explicitly listed or inherent to such process, method, article, or electronic device. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or electronic device comprising the element.
The above examples are only intended to illustrate the technical solution of the present invention, and not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A method for finding a center frequency, comprising the steps of:
constructing a standard function;
obtaining an analog signal of a human body scanning part under a magnetic resonance field intensity system according to the standard function;
collecting a group of collected signals of the human body scanning part under the magnetic resonance field intensity system;
comparing the analog signal with the acquired signal, wherein the corresponding frequency position is the central frequency when the acquired signal and the analog signal are maximally superposed;
the standard function is as follows:
stdSignal＝GenerateSimSig(N,△f wf w) formula (1)
The concrete expression form is as follows:
S std (n,△f wf ,w)＝g(n)+w·g(n-△f wf /△f p )n＝1,2,...N
wherein, in the formula (1), g (n) is a Gaussian functionN denotes the number of signal points,. DELTA.f wf Representing the difference of water-fat frequency; delta f p The frequency difference between the two signal points is shown, and w represents the specific gravity of the lipid peak and the water peak.
2. The method for finding a center frequency according to claim 1, wherein the obtaining an analog signal of a human body scanning part under a magnetic resonance field strength system according to the standard function specifically comprises:
selecting a specific field intensity system and a human body scanning part, and determining the number of corresponding signal points, the water-fat frequency difference and the specific gravity of a fat peak and a water peak;
and substituting the number of signal points, the water-fat frequency difference and the specific gravity of the fat peak and the water peak into the standard function to obtain an analog signal.
3. The method according to claim 1, wherein the comparing the analog signal with the collected signal, and the corresponding frequency position when the collected signal diagram and the analog signal diagram reach the maximum coincidence is the center frequency specifically comprises:
calculating a cross-correlation matrix [ coef, pos ] of the analog signal and the acquired signal;
searching pos value when coef is maximum;
the pos value at the maximum coef is converted to the center frequency f.
4. The method of finding a center frequency according to claim 3, wherein the cross-correlation matrix [ coef, pos ] is:
[coef,pos]＝cro_cor(stdSignal 0 realSignal) formula (2)
Wherein, in the formula (2), stdSignal 0 The correlation coefficient represents an analog signal, realSignal represents an acquired signal, coef represents a degree of coincidence between the analog signal and the acquired signal, pos represents a relative distance of movement of the analog signal with respect to the acquired signal, and cro _ cor is a standard signal correlation function.
5. An apparatus for finding a center frequency, comprising:
the function constructing module is used for constructing a standard function;
the signal acquisition module is used for obtaining an analog signal of a human body scanning part under a magnetic resonance field strength system according to the standard function;
the signal acquisition module is used for acquiring a group of acquisition signals of the human body scanning part under the magnetic resonance field intensity system;
and the central frequency searching module is used for comparing the analog signal with the acquisition signal, and when the acquisition signal and the analog signal are maximally superposed, the corresponding frequency position is the central frequency.
6. The apparatus for finding center frequency according to claim 5, wherein the signal obtaining module comprises:
the system information acquisition unit is used for selecting a specific field intensity system and a human body scanning part and determining the corresponding signal point number, the water-fat frequency difference and the specific gravity of a fat peak and a water peak;
and the signal obtaining unit is used for substituting the number of signal points, the water-fat frequency difference and the specific gravity of the fat peak and the water peak into the standard function to obtain an analog signal.
7. The apparatus for finding center frequency according to claim 5, wherein the center frequency finding module comprises:
a correlation matrix calculation unit for calculating a cross-correlation matrix [ coef, pos ] of the analog signal and the collected signal;
the numerical value searching unit is used for searching the pos value when coef is the maximum value;
and a frequency conversion unit for converting pos value at the time of coef maximum value into a center frequency f.
8. A terminal device, comprising: at least one processor and a memory; the memory stores a computer program; the at least one processor executes the memory-stored computer program to implement the method of finding a center frequency of any one of claims 1-4.
9. A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, which computer program, when executed, implements the method of finding a center frequency of any one of claims 1-5.
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| TW200943091A (en) * | 2008-04-14 | 2009-10-16 | Univ Ishou | Parameter estimation method for complex exponential signal |
| CN103513285B (en) * | 2013-09-27 | 2016-01-06 | 中国石油天然气股份有限公司 | A kind of method and device determining horizontal surface relaxation rate |
| CN109620228B (en) * | 2018-12-20 | 2023-01-03 | 上海联影医疗科技股份有限公司 | Fat zero offset correction method in magnetic resonance imaging and magnetic resonance imaging method |
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| CN111460934B (en) * | 2020-03-18 | 2023-09-29 | 深圳市贝斯达医疗股份有限公司 | Center frequency calculation method and system for superconducting high-field magnetic resonance |
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