CN101879076B - Method and device for automatically optimizing Doppler ultrasonic imaging - Google Patents
Method and device for automatically optimizing Doppler ultrasonic imaging Download PDFInfo
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Abstract
The invention claims a method and a device for automatically optimizing Doppler ultrasonic imaging, a method and a device for automatically optimizing dynamic range parameters in Doppler ultrasonic imaging, and a method for automatically optimizing gain parameters in Doppler ultrasonic imaging. The methods mainly comprise the following steps of: collecting Doppler spectral line data during a period of time in real time; estimating the average noise level contained in the Doppler spectral line data and calculating the noise characteristic quantity according to the average noise level; extracting signal characteristic quantity from the Doppler spectral line data and calculating the actual dynamic range of the signal according to the noise characteristic quantity and the signal characteristic quantity; regulating the dynamic range parameter of the system and confining the dynamic range parameter within arange relevant to the actual dynamic range of the signal; and searching reference gain to regulate the gain parameter of the system. The method and device in the embodiment can improve the imaging effect of the Doppler frequency spectrum in real time to obtain the frequency spectrum display output comprehensively balanced in the aspects of information content, stereovision, luminance, noise content, saturation degree, and the like.
Description
Technical field
The present invention relates to the doppler imaging technology in the compuscan, be specifically related to automatic optimization method and the device thereof of dynamic range and gain in the doppler imaging.
Background technology
In frequency spectrum Doppler imaging (the Spectral Doppler Imaging) process of Medical Ultrasonic Imaging System, ultrasonic front end emission ultrasonic signal enters the human body target tissue, detect its Doppler frequency shift (Doppler Frequency Shift) information, and obtain its frequency spectrum or power spectrum in real time, through specific grey scale transformation, be presented on the screen, be Doppler frequency spectrum, it is comprising the velocity correlation information with tissue motion or blood flow.In the grey scale transformation process, two important images parameters are arranged: gain (Gain) and dynamic range (Dynamic Range, DR), its value affects each side such as effective information content, noise content, effective information degree of saturation in frequency spectrum stereovision, frequency spectrum brightness, the frequency spectrum.
In traditional system, preestablish or the user in real time regulates ride gain and dynamic range parameters by system.Because signal and noise that human body different target tissue, different human body, different detected parameters etc. obtain all have bigger difference, preliminary setting parameter can not satisfy all clinical demands.And the user regulates certain operating time of needs in real time, often can not be adjusted to optimum display effect quickly and easily, and therefore the operation to the user has higher requirement.
In the prior art, the method that a kind of Automatic Optimal gain and dynamic range are arranged, under existing various parameters, obtain Doppler signal earlier, remove interfering signal wherein, the noise signal of obtaining in conjunction with independent mode again, gain is optimized with dynamic range, and dynamic range is set to exceed the actual dynamic range of the useful signal of average noise, and gain then is set on the basis of lossing signal not noise be minimized.But its noise signal obtains under the situation of not launching ultrasonic energy, accurately estimating noise.
In the prior art, also have a kind of method of automatic correcting gain, it obtains one section Doppler's subdata, calculates wherein noise characteristic and signal characteristic, and the comparative result according to noise characteristic and signal characteristic carries out gain calibration then.But because this method is not considered the influence of dynamic range simultaneously, separately the correcting gain parameter limit the further optimization of frequency spectrum demonstration.
In the prior art, also have a kind of automatic frequency spectrum optimization method, calculate noise threshold based on certain noise model or experience meter in advance, be lower than the part of this noise threshold thus in the amputation spectrum compression curve, in conjunction with certain signal amplitude statistical value, the grey scale transformation curve is optimized again.Though this method may cause the change of dynamic range in optimizing process, be not directly to carry out with the mode of dynamic range parameters by optimizing gain.
As seen there is certain defective in the prior art, needs to improve further.
Summary of the invention
The present invention proposes the automatic optimization method of dynamic range and gain in a kind of doppler imaging, and dynamic range and two parameters of gain are proofreaied and correct and optimized, and improves the imaging effect of Doppler frequency spectrum in real time.
In order to realize this purpose, the technical solution used in the present invention is as follows:
According to the first aspect of the embodiment of the invention, a kind of automatic optimization method of doppler imaging is provided, may further comprise the steps: gather the Doppler's spectral line data in a period of time in real time; The average noise level that comprises in the estimating Doppler spectral line data is according to this average noise level calculation noise characteristic amount; From Doppler's spectral line extracting data signal characteristic quantity, and according to the actual dynamic range of described noise characteristic amount and signal characteristic quantity signal calculated; The system dynamics range parameter is adjusted, it is limited in the scope relevant with the actual dynamic range of described signal; Search reference gain, and based on this system gain parameter is adjusted.
According to the second aspect of the embodiment of the invention, the automatic optimization method of dynamic range parameters in a kind of doppler imaging is provided, may further comprise the steps: gather the Doppler's spectral line data in a period of time in real time; The average noise level that comprises in the estimating Doppler spectral line data is according to this average noise level calculation noise characteristic amount; From Doppler's spectral line extracting data signal characteristic quantity, and according to the actual dynamic range of described noise characteristic amount and signal characteristic quantity signal calculated; Determine a referential data scope according to the actual dynamic range of described signal, when dynamic range parameters is in this referential data scope, keep this dynamic range parameters; When dynamic range parameters is not in this referential data scope, revises dynamic range parameters and make it enter this referential data scope.
According to the third aspect of the embodiment of the invention, the automatic optimization method of gain parameter in a kind of doppler imaging is provided, may further comprise the steps: gather the Doppler's spectral line data in a period of time in real time; The average noise level that comprises in the estimating Doppler spectral line data is according to this average noise level calculation noise characteristic amount; In gain shift tabulation, seek reference gain, the minimum signal strength that the system that makes shows output just for or close to described noise characteristic amount; Obtain the yield value than little several gears of described reference gain in the gain shift tabulation, as the gain parameter after optimizing, described several gears can be preestablished or be reset by user's adjusting by system.
According to the fourth aspect of the embodiment of the invention, a kind of Automatic Optimal device of doppler imaging is provided, comprise with lower module: acquisition module is used for gathering in real time the Doppler's spectral line data in a period of time; The Noise Estimation module is used for the average noise level that the estimating Doppler spectral line data comprises, according to this average noise level calculation noise characteristic value; The signal extraction module is used for from Doppler's spectral line extracting data signal characteristic quantity; Computing module is used for the actual dynamic range according to described noise characteristic amount and signal characteristic quantity signal calculated; First optimizes module, is used for the system dynamics range parameter is adjusted, and it is limited in the scope relevant with the actual dynamic range of described signal; Second optimizes module, is used for searching reference gain, and based on this system gain parameter is adjusted.
According to the 5th aspect of the embodiment of the invention, the Automatic Optimal device of dynamic range parameters in a kind of doppler imaging is provided, comprise with lower module: acquisition module is used for gathering in real time the Doppler's spectral line data in a period of time; The Noise Estimation module is used for the average noise level that the estimating Doppler spectral line data comprises, according to this average noise level calculation noise characteristic value; The signal extraction module is used for from Doppler's spectral line extracting data signal characteristic quantity; Computing module is used for the actual dynamic range according to described noise characteristic amount and signal characteristic quantity signal calculated; Dynamic range parameters is optimized module, determines a referential data scope according to the actual dynamic range of described signal, when dynamic range parameters is in this referential data scope, keeps this dynamic range parameters; When dynamic range parameters is not in this referential data scope, revises dynamic range parameters and make it enter this referential data scope.
According to the 6th aspect of the embodiment of the invention, the Automatic Optimal device of gain parameter in a kind of doppler imaging is provided, comprise with lower module: acquisition module is used for gathering in real time the Doppler's spectral line data in a period of time; The Noise Estimation module is used for the average noise level that the estimating Doppler spectral line data comprises, according to this average noise level calculation noise characteristic value; Search module, be used for seeking reference gain in the gain shift tabulation, the minimum signal strength that the system that makes shows output just for or close to described noise characteristic amount; Adjusting module, for the yield value that obtains in the gain shift tabulation than little several gears of described reference gain, as the gain parameter after optimizing, described several gears can be preestablished or be reset by user's adjusting by system.
According to the method and apparatus of the embodiment of the invention, based on dynamic range parameters and the gain parameter after optimizing, can obtain to show output at the frequency spectrum of each side aggregate balancings such as quantity of information, stereovision, brightness, noise content, degree of saturation.
Below in conjunction with accompanying drawing and by specific embodiment the present invention is further specified.
Description of drawings
The block diagram that Fig. 1 gains and optimizes with dynamic range parameters for the applied Doppler ultrasonic image-forming system of the embodiment of the invention;
Fig. 2 is the gain of the embodiment of the invention and the flow chart of dynamic range parameters Automatic Optimal;
Fig. 3 is the sketch map of typical Doppler spectrogram;
Fig. 4 is the repeatedly flow chart of unruly-value rejecting method estimating noise of iteration, and wherein, the reference value of differentiating the stage not necessarily 0.01 also can be other less values;
Fig. 5 is the sketch map of grey scale transformation curve;
Fig. 6 is the Automatic Optimal device sketch map of the doppler imaging of the embodiment of the invention;
Fig. 7 is the Automatic Optimal device sketch map of dynamic range parameters in the doppler imaging of the embodiment of the invention;
Fig. 8 is the Automatic Optimal device sketch map of gain parameter in the doppler imaging of the embodiment of the invention.
The specific embodiment
The structure diagram that Fig. 1 gains for the applied Doppler ultrasonic image-forming system of the embodiment of the invention, dynamic range is optimized.Ultrasound echo signal forms rf echo signal after wave beam is synthetic, enter Doppler's processing links then, estimates frequency spectrum or the power spectrum of Doppler signal, and carries out the detection of spectrum envelope.Then enter spectrum compression link, spectral line data is compressed, improve the output area of signal.Before Doppler shows, need be optimized differentiation, can be set in this optimization discriminating step regulate button or on-off control differentiation by the user, the system that also can be set to is differentiated automatically according to certain characteristic parameter.If differentiate the result for not carrying out parameter optimization, then system adopts gain and dynamic range parameters predefined or that the user chooses to carry out grey scale transformation and show output; If differentiate the result for need carry out parameter optimization, then enter the parameter optimization link, system gains automatically and calculates with the parameter optimization of dynamic range, and adopts gain and dynamic range parameters after optimizing to carry out grey scale transformation and show output.
Fig. 2 is the flow chart of gain and the automatic optimization method of dynamic range parameters in the embodiment of the invention.
Step 1: gather the Doppler's spectral line data in a period of time in real time, be used for gain and calculate with the Automatic Optimal of dynamic range parameters.Above-mentioned a period of time, can be a cardiac cycle, a plurality of cardiac cycle, 1 second or other times length etc.
Step 2: estimate the average noise level that comprises in above-mentioned Doppler's spectral line data to be designated as mNoise.
A typical Doppler spectrogram as shown in Figure 3, wherein the position at X-axis place is the baseline position of spectrogram, begins both sides to spectrogram from baseline, expression Doppler frequency shift frequency raises gradually, the baseline top be positive frequency, is negative frequency below the baseline.On Fig. 3, also described the largest enveloping curve of signal on the sound spectrogram, wherein, the coenvelope curve has been delineated the outermost border of baseline top spectrogram, and lower enveloping curve has been delineated the outermost border of baseline below spectrogram.In the outside of largest enveloping curve, almost there is not signal to exist, can think noise.
Among the present invention, the method that is used for the estimating noise level has multiple, and each is variant for the accuracy of estimation.Such as can adopt iteration repeatedly the unruly-value rejecting method carry out Noise Estimation and improve accuracy.As Fig. 4 (wherein, the reference value in differentiation stage not necessarily 0.01, also can be other less values) shown in, the envelope curve that at first carries out sound spectrogram calculates, and namely the peak frequency curve of sound spectrogram is estimated, then, the data of peak frequency extra curvature are thought noise, estimate in the frequency domain value of averaging, as the Noise Estimation of each time point, constitute the original estimation curve of noise.Because some bigger peak values may appear in the influence of signal in the noise curve, namely the open country is worth.By iteration repeatedly the unruly-value rejecting algorithm constantly the bigger abnormality value removing of amplitude in the noise curve, thereby obtain Noise Estimation more accurately.
Step 3: add up the maximum signal on each Frequency point in above-mentioned selected Doppler's spectral line data, form vectorial A.
Sound spectrogram can be regarded a two-dimensional matrix as, along the direction of X-axis, and the time point that expression is discrete, along Y direction, the Frequency point that expression is discrete.In the present invention, along the direction of X-axis, add up the maximum on each Frequency point, form a vectorial A.This vector correspondence the maximum signal that occurs at each Frequency point in this section Doppler spectral line data.
Step 4: calculate noise characteristic amount xMin, the noise characteristic amount is the function of the horizontal mNoise of above-mentioned average noise, and xMin is the product of mNoise and certain preset parameter α such as making, and this α can be preestablished by system.The relation of xMin and mNoise also can be other functional relationships, can add or deduct the exponential function of certain coefficient, mNoise or specify one group of corresponding relation to table look-up etc. in advance for mNoise.
Step 5: calculate signal characteristic quantity xMax, signal characteristic quantity is the function of above-mentioned vectorial A, and xMax is maximum among the vectorial A such as making.Also can multiply by certain factor beta on this basis again, add or deduct certain coefficient even make that xMax is second largest value of vectorial A etc.
Step 6: utilize the actual dynamic range of noise characteristic amount xMin and signal characteristic quantity xMax signal calculated, be designated as DR_ref.This DR_ref correspondence the highest signal to noise ratio of actual signal, also is the maximum intensity excursion of actual signal.
The scope of data of one section Doppler's power signal is xMin～xMax, can think that then xMax-xMin is the actual dynamic range DR_ref of signal; Also can earlier the scope of data of Doppler's power signal be carried out logarithmic compression 10*log (x), can think that then 10*log (xMax)-10*log (xMin) is the actual dynamic range of signal.The account form difference of logarithmic compression is 50*log (x) such as the logarithmic compression formula, and the expression mode of actual dynamic range is also different thereupon.But how the mode of no matter representing changes, and DR_ref is corresponding with the actual dynamic range of signal.
Step 7: the former dynamic range parameters DR_old of system before utilizing DR_ref and optimizing, carry out dynamic range parameters optimization, the dynamic range parameters after the optimization is designated as DR_new, has:
Wherein, DR_old is pre-determined by system, also can be reset by the user.Parameter k1 and k2 are preestablished by system, thereby DR_new is limited in the scope relevant with actual signal highest signal to noise ratio DR_ref.In the practical application, these two parameters can be set according to different signal characteristics.Such as signal to noise ratio high, signal to noise ratio is low, can adopt different combinations.Different probes also can adopt different combinations.Generally the value of k1 and k2 is more or less the same greatly, as much as possible the signal of all scopes is shown output.In fact, show that always there are certain contradiction in the bigger range of signal of output and these two kinds of demands of frequency spectrum GTG stereovision (or contrast) preferably, during such as employing DR_new=DR_ref, when namely adopting k1=k2=1, the signal that can guarantee varying strength is always all shown output, if but Signal-to-Noise is too high, namely DR_ref is too big, will cause the frequency spectrum stereovision not obvious.Such as adopting DR_new＜DR_ref, just can strengthen the GTG stereovision between the varying strength signal, increase the frequency spectrum contrast, but need be to lose the fraction signal as cost.Such as adopting DR_new＞DR_ref, just can reduce the frequency spectrum degree of saturation, but the frequency spectrum stereovision weakens.Therefore, the selection of parameter k1 and k2 mainly obtains a kind of more suitable balance for the frequency spectrum after guaranteeing to optimize between these two kinds of demands.
Step 8: obtaining gain is the starting point P of 0 o'clock grey scale transformation curve, shown in solid line among Fig. 5.Among the figure, the grey-scale range after the conversion not necessarily 0～255 also can also can have the color map of multiple demonstration for other are worth in the real system, be different color or pseudo-colourss with signal map.The grey scale transformation curve is straight line not necessarily also, can form for the different straight line of multistage slope links to each other, and also can be curve.The vertical coordinate Py of this P is 0, i.e. corresponding 0 GTG, its abscissa Px be corresponding the minimum signal strength that shows output then.Among the present invention, the dynamic range parameters DR_new after Px and the optimization is specific functional relationship.Also can it not changed with the variation of DR_new by default Px for certain fixing value.
Step 9: utilize the predefined gain shift tabulation of Px and system, carry out gain parameter optimization, the gain parameter after the optimization is designated as Gain_new.
As shown in phantom in Figure 5, in the grey scale transformation link, along with the continuous increase of gain, grey scale transformation curve integral body constantly moves to left, and curve starting point P constantly moves to left, and system shows that the minimum signal strength of output constantly reduces.In all gain shift tabulations, can search out certain reference gain Gain_ref, the system that makes shows that the minimum signal strength of output just is above-mentioned noise characteristic amount xMin, makes that perhaps abscissa and the noise characteristic amount xMin of the relative corresponding grey scale transformation origin of curve of other gain shift P of this gain parameter are the most approaching.
Then, in the tabulation of above-mentioned gain shift, obtain littler and differ the yield value of N gear than reference gain Gain_ref, as the gain parameter Gain_new after the optimization.Wherein, the N value is preestablished by system, also can be regulated by the user and reset.Its size is subjected to the influence of adjacent gain gear gain delta, also is subjected to the user to the influence of noise content expectation in the frequency spectrum demonstration.Among the present invention, gain shift can be uniformly, also can be inhomogeneous, and the increment that gains between the adjacent gear is more little, and the effect of gain optimization is more good.The N value is more big, and then the noise remove effect is more good, but frequency spectrum may be more dark, and the small-signal Loss Rate is more big.The selection of N can make as far as possible and reach more suitable balance between noise content and frequency spectrum brightness, small-signal enhancing in actual the use.Finally, the gain parameter after the optimization can guarantee not comprise noise in the final Doppler frequency spectrum that shows as far as possible, perhaps comprises the required noise content of user, makes that simultaneously signal is enhanced in demonstration as much as possible.
In addition, among the present invention, if Px is relevant with the dynamic range parameters DR_new after the optimization, the gain parameter Gain_new after then optimizing is relevant with DR_new; If Px is the irrelevant value of certain and DR_new, the gain parameter Gain_new after then optimizing is not subjected to the influence of DR_new.
As shown in Figure 6, the present invention also provides a kind of Automatic Optimal device of doppler imaging, and it comprises: acquisition module is used for gathering in real time the Doppler's spectral line data in a period of time; The Noise Estimation module is used for the average noise level that the estimating Doppler spectral line data comprises, according to this average noise level calculation noise characteristic value; The signal extraction module is used for from Doppler's spectral line extracting data signal characteristic quantity; Computing module is used for the actual dynamic range according to described noise characteristic amount and signal characteristic quantity signal calculated; First optimizes module, is used for the system dynamics range parameter is adjusted, and it is limited in the scope relevant with the actual dynamic range of described signal; Second optimizes module, is used for searching reference gain, and based on this system gain parameter is adjusted.
As shown in Figure 7, the present invention also provides the Automatic Optimal device of dynamic range parameters in a kind of doppler imaging, and it comprises: acquisition module is used for gathering in real time the Doppler's spectral line data in a period of time; The Noise Estimation module is used for the average noise level that the estimating Doppler spectral line data comprises, according to this average noise level calculation noise characteristic value; The signal extraction module is used for from Doppler's spectral line extracting data signal characteristic quantity; Computing module is used for the actual dynamic range according to described noise characteristic amount and signal characteristic quantity signal calculated; Dynamic range parameters is optimized module, determines a referential data scope according to the actual dynamic range of described signal, when dynamic range parameters is in this referential data scope, keeps this dynamic range parameters; When dynamic range parameters is not in this referential data scope, revises dynamic range parameters and make it enter this referential data scope.
As shown in Figure 8, the present invention also provides the Automatic Optimal device of gain parameter in a kind of doppler imaging, and it comprises: acquisition module is used for gathering in real time the Doppler's spectral line data in a period of time; The Noise Estimation module is used for the average noise level that the estimating Doppler spectral line data comprises, according to this average noise level calculation noise characteristic value; Search module, be used for seeking reference gain in the gain shift tabulation, the minimum signal strength that the system that makes shows output just for or close to described noise characteristic amount; Adjusting module, for the yield value that obtains in the gain shift tabulation than little several gears of described reference gain, as the gain parameter after optimizing, described several gears can be preestablished or be reset by user's adjusting by system.
More than describe the present invention by specific embodiment, but the present invention is not limited to these specific embodiments.Those skilled in the art should be understood that, can also make various modifications to the present invention, be equal to replacement, change etc., for example with a step in above-described embodiment or module is divided into two or more steps or module realizes, perhaps opposite, the function of two or more steps in above-described embodiment or module is placed in a step or the module realizes, and wherein the order of some step or module is hard-core.But these conversion all should be within protection scope of the present invention as long as do not deviate from spirit of the present invention.In addition, present specification all is relative with the more employed terms of claims, is not restriction, only is for convenience of description.
Claims (3)
1. the automatic optimization method of a doppler imaging is characterized in that, may further comprise the steps:
Gather the Doppler's spectral line data in a period of time in real time;
The average noise level that comprises in the estimating Doppler spectral line data is according to this average noise level calculation noise characteristic amount;
From Doppler's spectral line extracting data signal characteristic quantity, and according to the actual dynamic range of described noise characteristic amount and signal characteristic quantity signal calculated;
The system dynamics range parameter is adjusted, it is limited in the scope relevant with the actual dynamic range of described signal;
Search reference gain, and based on this system gain parameter is adjusted;
Wherein, search reference gain, and the system gain parameter adjusted comprised based on this:
In gain shift tabulation, seek reference gain, the minimum signal strength that after the system dynamics range parameter the is adjusted system of making shows output just for or close to described noise characteristic amount;
Obtain the yield value than little several gears of described reference gain in the gain shift tabulation, as the gain parameter after optimizing, described several gears are preestablished by system or are reset by user's adjusting.
2. method according to claim 1 is characterized in that, extracts described signal characteristic quantity and comprises: add up the maximum signal on each Frequency point in described Doppler's spectral line data, form intensity vector, according to this intensity vector signal calculated characteristic quantity.
3. method according to claim 1, it is characterized in that, the described system dynamics range parameter is adjusted comprises: determine a referential data scope according to the actual dynamic range of described signal, when dynamic range parameters is in this referential data scope, keep this dynamic range parameters; When dynamic range parameters is not in this referential data scope, revises dynamic range parameters and make it enter this referential data scope.
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| CN105982694B (en) * | 2015-01-27 | 2019-03-19 | 无锡祥生医疗科技股份有限公司 | Inhibit the signal processing method of ultrasonic noise |
| US20160377717A1 (en) * | 2015-06-29 | 2016-12-29 | Edan Instruments, Inc. | Systems and methods for adaptive sampling of doppler spectrum |
| CN105581812B (en) * | 2015-12-08 | 2018-08-17 | 飞依诺科技(苏州)有限公司 | Automatic adjustment method and system for ultrasonic imaging equipment |
| CN105662472A (en) * | 2016-01-13 | 2016-06-15 | 北京悦琦创通科技有限公司 | Method and device for generating Doppler frequency spectrogram |
| CN107949331B (en) * | 2016-06-30 | 2021-04-13 | 深圳迈瑞生物医疗电子股份有限公司 | Ultrasonic fluid spectrum Doppler imaging method and system |
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Application publication date: 20101110 Assignee: Shenzhen Mindray Animal Medical Technology Co.,Ltd. Assignor: SHENZHEN MINDRAY BIO-MEDICAL ELECTRONICS Co.,Ltd. Contract record no.: X2022440020009 Denomination of invention: Automatic optimization method and device for Doppler ultrasound imaging Granted publication date: 20130904 License type: Common License Record date: 20220804 |