CN103815933A - Ultrasonic imaging processing method and ultrasonic imaging processing system based on RF (radio frequency) data - Google Patents
Ultrasonic imaging processing method and ultrasonic imaging processing system based on RF (radio frequency) data Download PDFInfo
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- CN103815933A CN103815933A CN201410057108.4A CN201410057108A CN103815933A CN 103815933 A CN103815933 A CN 103815933A CN 201410057108 A CN201410057108 A CN 201410057108A CN 103815933 A CN103815933 A CN 103815933A
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Abstract
The invention provides an ultrasonic imaging processing method and an ultrasonic imaging processing system based on RF (radio frequency) data, and belongs to an RF data platform technology. The method comprises the following steps of (S1), receiving an echo signal acquired by transmitting an ultrasonic signal; (S2), beamforming the echo signal; (S3), acquiring the RF data in the echo signal; and (S4), directly performing ultrasonic imaging processing on the basis of the acquired RF data so as to acquire an objective image. By using the ultrasonic imaging processing method and the ultrasonic imaging processing system based on the RF data, ultrasonic imaging processing is directly performed on the basis of the acquired RF data after the RF data in the echo signal are acquired, so that the objective image is acquired. Compared with the prior art, the system is simple in structure; data information is not lost; the real-time performance and the image quality of a diasonograph which uses the processing method and the processing system are improved, diagnosis information and axial resolution are delicate and clear, and the manufacturing cost and the using cost are reduced.
Description
Technical field
The invention belongs to ultrasonic diagnostic imaging field, relate to a kind of based on RF data ultra sonic imaging processing method and system.
Background technology
Along with the development of the related-art technology such as electronics, computer, material science; In recent years, the function of diasonograph is greatly improved, and revolutionary leap has also occurred again and again medical ultrasound diagnosis technology thereupon, has become the prefered method of clinical various diseases diagnosis at present, and the essential tool of ultrasonic diagnosis when ultra sonic imaging; Accordingly, the ultra sonic imaging of B pattern, the ultra sonic imaging of CF pattern, PW pattern ultra sonic imaging etc. is the most basic and most widely used technology in excusing from death imaging system.The ultra sonic imaging of various patterns has a lot of clinical practices, as in obstetrics for monitoring the state of fetus, internal medicine cardiac valve disease diagnosis etc.Ultrasonic imaging technique is had to a lot of research and application both at home and abroad, but due to the continuous renewal of ultrasonic device, the application requirements such as ultrasound detection and clinical diagnosis improves constantly, and fresh content, new technique emerge in an endless stream, and existing research cannot meet the demand of ultra sonic imaging application far away.
The ultrasonic imaging technique of traditional mode: comprise front-end processing, intermediate treatment and three parts of post processing; Wherein, the radiofrequency signal of front-end processing for obtaining focusing on, intermediate treatment is used for obtaining baseband signal, and back-end processing is for showing the signal after scan conversion.Because the technology of post processing is also in the initial development stage, and the disposal ability of computer, in prior art, described intermediate treatment process adopt by echo-signal be divided into I Q two paths of signals, and accordingly described echo-signal is done down-sampled and is fallen position and process, with the disposal ability of matching computer, therefore support whole handling process to need a large amount of hardware supported, particularly intermediate treatment process, needs special chip or digital signal processor to realize conventionally, causes handle link extremely complicated.For example: the flow chart of ultra sonic imaging processing method in prior art as shown in Figure 1, said method comprising the steps of: the echo-signal that P1, reception are obtained by sending ultrasonic signal; P2, that described echo-signal is carried out to wave beam is synthetic; P3, obtain the RF data in described echo-signal; P4, described RF data are carried out to quadrature demodulation or Hibert conversion, described RF data are divided into two-way I/Q orthogonal signalling; P5, the two-way I/Q orthogonal signalling of obtaining in step P4 are done to baseband filtering or low-pass filtering treatment, with down-sampled to described two-way I/Q orthogonal signalling and fall position and process; P6, the described two-way I/Q orthogonal signalling of processing based on process step P5, carry out ultra sonic imaging processing, to obtain target image.
Summary of the invention
In order to address the above problem, the invention provides a kind of simple in structure, but not lost data information based on RF data ultra sonic imaging processing method and system.
Accordingly, one of the present invention, based on RF data ultra sonic imaging processing method, said method comprising the steps of:
The echo-signal that S1, reception are obtained by sending ultrasonic signal;
S2, that described echo-signal is carried out to wave beam is synthetic;
S3, obtain the RF data in described echo-signal;
S4, RF data based on obtained, directly carry out ultra sonic imaging processing, to obtain target image.
As a further improvement on the present invention, after described step S3, described method also comprises: obtained RF data are carried out to pretreatment, remove the system noise in described RF data.
As a further improvement on the present invention, described step S4 specifically comprises: the RF data based on obtained, adopt B mode treatment, and CF mode treatment and PW mode treatment, to obtain target image.
As a further improvement on the present invention, described B mode treatment specifically comprises: the RF data of obtaining are carried out to grey scale mapping imaging.
As a further improvement on the present invention, described " the RF data of obtaining are carried out to grey scale mapping imaging " specifically comprises: if the RF signal data of the synthetic output of wave beam is
i, get the absolute value of this RF signal data |
i| carry out grey scale mapping imaging.
As a further improvement on the present invention, described " the RF data of obtaining are carried out to grey scale mapping imaging " specifically comprises:
If the RF signal data of the synthetic output of wave beam is
, structure
,
Drawn by above formula:
obtain
;
Now, get RF signal data
carry out grey scale mapping imaging.
As a further improvement on the present invention, described CF mode treatment specifically comprises:
Adopt ButterflySearch algorithm,
Or adopt CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
It is as a further improvement on the present invention, described that " employing CrossCorrelation algorithm, to obtained RF data, directly carries out ultra sonic imaging processing, to obtain target image
in process, described method is further comprising the steps of:
Method by priori value limits cross-correlation hunting zone, to avoid matching wrong cross-correlation coefficient peak value.
It is as a further improvement on the present invention, described that " employing CrossCorrelation algorithm, to obtained RF data, directly carries out ultra sonic imaging processing, to obtain target image
in process, described method is further comprising the steps of, in conjunction with adopting CrossCorrelation algorithm and AutoCorrelation algorithm, to obtained RF data, directly carries out ultra sonic imaging processing, to obtain target image.
As a further improvement on the present invention, described PW mode treatment specifically comprises: adopt ButterflySearch algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
Accordingly, one of the present invention is based on RF data ultra sonic imaging processing system, and described system comprises:
Ultrasonic probe module, for sending and receiving ultrasonic signal;
Ultrasonic echo receiver module, for receiving the echo-signal of obtaining by sending ultrasonic signal;
Wave beam synthesis module, synthetic for described echo-signal being carried out to wave beam;
RF transfer of data memory module, for obtaining the RF data of described echo-signal;
Image processing module, for the RF data based on obtained, directly carries out ultra sonic imaging processing, to obtain target image.
As a further improvement on the present invention, described system also comprises pretreatment module, and described pretreatment module, for obtained RF data are carried out to pretreatment, is removed the system noise in described RF data.
As a further improvement on the present invention, described image processing module, also for, RF data based on obtained, adopts B mode treatment, and CF mode treatment and PW mode treatment, to obtain target image.
As a further improvement on the present invention, described image processing module adopt described B mode treatment take obtain target image as:
The RF data of obtaining are carried out to grey scale mapping imaging.
As a further improvement on the present invention, described image processing module carries out grey scale mapping imaging to the RF data of obtaining and specifically comprises: if the RF signal data of the synthetic output of wave beam is
i, get the absolute value of this RF signal data |
i| carry out grey scale mapping imaging;
If the RF signal data of the synthetic output of wave beam is
, structure
,
Drawn by above formula:
obtain
;
Now, get RF signal data
carry out grey scale mapping imaging.
As a further improvement on the present invention, described image processing module adopt described CF mode treatment take obtain target image as:
Adopt ButterflySearch algorithm,
Or adopt CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
As a further improvement on the present invention, described image processing module adopts CrossCorrelation algorithm to obtained RF data, directly carries out ultra sonic imaging processing, specifically comprises to obtain target image:
Method by priori value limits cross-correlation hunting zone, to avoid matching wrong cross-correlation coefficient peak value;
As a further improvement on the present invention, described image processing module adopts CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, specifically comprise to obtain target image: in conjunction with adopting AutoCorrelation algorithm, to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
As a further improvement on the present invention, described image processing module adopt described PW mode treatment take obtain target image as:
Adopt ButterflySearch algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
Of the present invention based on RF data ultra sonic imaging processing method and system, after the RF data of obtaining in described echo-signal, the RF data based on obtained, directly carry out ultra sonic imaging processing, to obtain target image; Compared with prior art, this system structure is simple, but lost data information not, has improved real-time performance and the picture quality of the diasonograph that adopts this processing method and system, make diagnostic message and axial resolution more careful, clear, reduced manufacturing cost and use cost simultaneously.
Accompanying drawing explanation
Fig. 1 is the flow chart of the ultra sonic imaging processing method that provides in prior art;
Fig. 2 is the flow chart based on RF data ultra sonic imaging processing method that first embodiment of the invention provides;
Fig. 3 is the flow chart based on RF data ultra sonic imaging processing method that second embodiment of the invention provides;
Fig. 4 is the module diagram based on RF data ultra sonic imaging processing system that first embodiment of the invention provides;
Fig. 5 is the module diagram based on RF data ultra sonic imaging processing system that second embodiment of the invention provides.
The specific embodiment
Describe the present invention below with reference to embodiment shown in the drawings.But embodiment does not limit the present invention, the conversion in structure, method or function that those of ordinary skill in the art makes according to these embodiments is all included in protection scope of the present invention.
As shown in Figure 2, Fig. 2 is the flow chart based on RF data ultra sonic imaging processing method that first embodiment of the invention provides.Accordingly, said method comprising the steps of:
The echo-signal that S1, reception are obtained by sending ultrasonic signal;
S2, that described echo-signal is carried out to wave beam is synthetic;
S3, obtain the RF data in described echo-signal;
S4, RF data based on obtained, directly carry out ultra sonic imaging processing, to obtain target image.
To the description based on RF data ultra sonic imaging processing method, its step S1, S2, S3 are roughly identical with the prior art described in Fig. 1, are not described in detail at this above.Difference with the prior art of the present invention is that the RF data based on obtained are directly carried out ultra sonic imaging processing, to obtain target image.Although realize the simple in structure of the method, not lost data information; And improve real-time performance and the picture quality of the diasonograph that adopts this processing method and system, made diagnostic message and axial resolution more careful, clear, reduced manufacturing cost and use cost simultaneously.
Accordingly, " RF " in described RF data is English: radio frequency, Chinese: the abbreviation of radiofrequency signal.
Following content will be introduced the specific embodiment of the present invention in detail.
Accordingly, described step S4 specifically comprises: the RF data based on obtained, adopt B mode treatment, and CF mode treatment and PW mode treatment, to obtain target image.
Accordingly, " CF " in described CF mode treatment is English: color flow, Chinese: the abbreviation of blood flow imaging.The abbreviation that " PW " in described PW mode treatment is pulse Doppler.
Concrete, in the preferred embodiment of the present invention, adopt B mode treatment specifically to comprise to obtain target image: to carry out grey scale mapping imaging to the RF data of obtaining.Accordingly, there are two kinds of modes can realize described B mode treatment.
Embodiment one, supposes that the RF signal data of the synthetic output of wave beam is
i, get the absolute value of this RF signal data |
i| carry out grey scale mapping imaging.
Embodiment two, supposes that the RF signal data of the synthetic output of wave beam is
, structure
,
Drawn by above formula:
obtain
;
Now, get RF signal data
carry out grey scale mapping imaging.
Accordingly, in the preferred embodiment of the present invention, adopt CF mode treatment specifically to comprise to obtain target image: to adopt ButterflySearch algorithm, or adopt CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
Concrete, the described ButterflySearch algorithm adopting in described CF mode treatment is: by the ultrasonic signal of target reflection is searched for along depth d epth and two dimensions of time time, the slope of the butter line of matching degree maximum is corresponding target axially-movable speed.
The Chinese of the described CrossCorrelation algorithm adopting in described CF mode treatment is cross correlation algorithm, by the ultrasonic signal of target reflection is done to computing cross-correlation along depth d epth direction, the peak of cross-correlation coefficient i.e. the corresponding bias size being caused by motion, then can calculate target axially-movable speed.The time shift signal that the main based target motion of this algorithm produces, when Practical Calculation, successively adjacent two RF data in a sampling volume are done to computing cross-correlation and obtain a speed, then all speed that calculate are averaged or intermediate value, as the final speed in this sampling volume.
Accordingly, in the preferred embodiment of the present invention, employing to obtained RF data, is directly carried out ultra sonic imaging processing, to obtain target image through improved CrossCorrelation algorithm.
Concrete, traditional CrossCorrelation algorithm can only obtain the deviant at an integer sampled point interval, must just can be offset accurately by the mode of interpolation, its acquiring method mainly contains two kinds: in one, method is to improve sample rate to RF signal interpolation, this method has increased computation complexity, and requirement of real time not; Another kind method be to cross-correlation coefficient carry out parabola or just, the interpolation of cosine, although this kind of method meets the requirement to real-time, but when calculating, need to guarantee that real cross-correlation peak value is included in interpolation curve, the method easily matches wrong peak value.
In the preferred embodiment of the present invention, if adopt CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.On conventional CrossCorrelation algorithm basis, method by priori value limits cross-correlation hunting zone, to avoid matching wrong cross-correlation coefficient peak value, and simplify the complexity of CrossCorrelation algorithm, met the requirement of global search real-time.
Concrete, the time shift (or skew) on traditional RF signal is being axially and transversely continuous, therefore the mode of asking for of priori value is: the skew of getting the same position point in previous point or the current some adjacent lines on current some the same line.For example: the previous some skew on current some the same line is 2, and the skew of so current point is just near 2, and cross-correlation hunting zone can be set between [1,3].
Accordingly, in another preferred implementation of the present invention, if adopt CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image, can also be in conjunction with adopting CrossCorrelation algorithm and AutoCorrelation algorithm, to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
Concrete, first adopt CrossCorrelation algorithm to calculate a rough deviant, get corresponding RF signal based on this rough deviant, then calculate an accurate deviant with AutoCorrelation algorithm, it is exactly final deviant accurately that these two deviants are added again.
The Chinese of described AutoCorrelation algorithm is auto-correlation algorithm.
Accordingly, described in conjunction with foregoing, before adopting CrossCorrelation algorithm, method by priori value limits cross-correlation hunting zone, can, using the deviant of a upper point or near point directly as the rough deviant of current point, adopt again afterwards AutoCorrelation algorithm to calculate accurate deviant.Adopt this kind of method the amount of calculation of CrossCorrelation algorithm can be dropped to minimum, and the result that the AutoCorrelation carrying out after having guaranteed calculates described precision offset value is without aliasing.
Adopt AutoCorrelation algorithm to calculate in the process of described precision offset value, only need RF signal to carry out interim hilbert demodulation, can implement at algorithm layer, system structure is simple, but lost data information not.
Accordingly, in the preferred embodiment of the present invention, adopt PW mode treatment specifically to comprise to obtain target image: to adopt ButterflySearch algorithm to the RF data of being obtained, directly carry out ultra sonic imaging processing, to obtain target image.
The described ButterflySearch algorithm adopting in described PW mode treatment is: for each speed component, RF signal in sample boxes is obtained to data along depth d epth direction along slope corresponding to this speed, corresponding data are calculated to its energy size, thereby carry out frequency spectrum demonstration.
Accordingly, adopting CF mode treatment and adopt PW mode treatment, directly RF data being calculated in search procedure, is the RF data based on obtained, and directly carries out ultra sonic imaging processing, to obtain target image; The prior art of comparing based on RF data are processed to obtain I/Q orthogonal signalling, and is carried out ultra sonic imaging processing, to obtain target image on the basis of I/Q orthogonal signalling; The sampled data precision of obtaining in its process is higher, and its result of calculation is more accurate.
As shown in Figure 3, Fig. 3 is the flow chart based on RF data ultra sonic imaging processing method that second embodiment of the invention provides.Accordingly, the second embodiment of the present invention and above-mentioned the first embodiment are roughly the same, and its difference is: after step S3 obtains the RF data in described echo-signal, described method is further comprising the steps of:
M1, obtained RF data are carried out to pretreatment, remove the system noise in described RF data.
Accordingly, obtained RF data are carried out to pretreatment, the method for removing the system noise in described RF data has a variety of, in the preferred embodiment of the present invention, adopts following method to remove the system noise in described RF data.
Accordingly, remove the noise RF signal data of acquisition system in the time of silent status
suppose that the ultrasonic echo RF signal data obtaining in actual use is
utilize
can reach the effect of removing background noise.
Compared with prior art, of the present invention based on RF data ultra sonic imaging processing method, after the RF data of obtaining in described echo-signal, the RF data based on obtained, directly carry out ultra sonic imaging processing, to obtain target image.The method realizes simple, but lost data information not, has improved real-time performance and the picture quality of the diasonograph that adopts this processing method, makes diagnostic message and axial resolution more careful, clear, has reduced manufacturing cost and use cost simultaneously.
As shown in Figure 4, Fig. 4 is the module diagram based on RF data ultra sonic imaging processing system that first embodiment of the invention provides.
Accordingly, in first embodiment of the invention, comprise based on RF data ultra sonic imaging processing system: ultrasonic probe module 100, for sending and receiving ultrasonic signal; Ultrasonic echo receiver module 200, for receiving the echo-signal of obtaining by sending ultrasonic signal; Wave beam synthesis module 300, synthetic for described echo-signal being carried out to wave beam; RF transfer of data memory module 400, for obtaining the RF data of described echo-signal; Image processing module 500, for the RF data based on obtained, directly carries out ultra sonic imaging processing.
Accordingly, " RF " in described RF data is English: radio frequency, Chinese: the abbreviation of radiofrequency signal.Described image processing module 500, also for, RF data based on obtained, adopts B mode treatment, and CF mode treatment and PW mode treatment, to obtain target image.
Accordingly, " CF " in described CF mode treatment is English: color flow, Chinese: the abbreviation of blood flow imaging.The abbreviation that " PW " in described PW mode treatment is pulse Doppler.
Concrete, in the preferred embodiment of the present invention, described image processing module 500 adopts B mode treatment to obtain target image.Described image processing module 500 specifically for: the RF data of obtaining are carried out to grey scale mapping imaging.Accordingly, there are two kinds of modes can realize described B mode treatment.
Embodiment one, supposes that the RF signal data of the synthetic output of wave beam is
i, get the absolute value of this RF signal data |
i| carry out grey scale mapping imaging.
Embodiment two, supposes that the RF signal data of the synthetic output of wave beam is
, structure
,
Drawn by above formula:
obtain
;
Now, get the mould of RF signal data
carry out grey scale mapping imaging.
Accordingly, in the preferred embodiment of the present invention, described image processing module 500 adopts CF mode treatment to obtain target image, described image processing module 500 specifically for: adopt ButterflySearch algorithm, or adopt CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
Concrete, the described ButterflySearch algorithm adopting in described CF mode treatment is: by the ultrasonic signal of target reflection is searched for along depth d epth and two dimensions of time time, the slope of the butter line of matching degree maximum is corresponding target axially-movable speed.
The Chinese of the described CrossCorrelation algorithm adopting in described CF mode treatment is cross correlation algorithm, by the ultrasonic signal of target reflection is done to computing cross-correlation along depth d epth direction, the peak of cross-correlation coefficient i.e. the corresponding bias size being caused by motion, then can calculate target axially-movable speed.The time shift signal that the main based target motion of this algorithm produces, when Practical Calculation, successively adjacent two RF data in a sampling volume are done to computing cross-correlation and obtain a speed, then all speed that calculate are averaged or intermediate value, as the final speed in this sampling volume.
The Chinese of the described CrossCorrelation algorithm adopting in described CF mode treatment is cross correlation algorithm, by the ultrasonic signal of target reflection is done to computing cross-correlation along depth d epth direction, the peak of cross-correlation coefficient i.e. the corresponding bias size being caused by motion, then can calculate target axially-movable speed.The time shift signal that the main based target motion of this algorithm produces, when Practical Calculation, successively adjacent two RF data in a sampling volume are done to computing cross-correlation and obtain a speed, then all speed that calculate are averaged or intermediate value, as the final speed in this sampling volume.
Accordingly, in the preferred embodiment of the present invention, described image processing module 500 adopts CF mode treatment to obtain target image.Described image processing module 500 specifically for: adopt through improved CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
Concrete, traditional CrossCorrelation algorithm can only obtain the deviant at an integer sampled point interval, must just can be offset accurately by the mode of interpolation, its acquiring method mainly contains two kinds: in one, method is to improve sample rate to RF signal interpolation, this method has increased computation complexity, and requirement of real time not; Another kind method be to cross-correlation coefficient carry out parabola or just, the interpolation of cosine, although this kind of method meets the requirement to real-time, but when calculating, need to guarantee that real cross-correlation peak value is included in interpolation curve, the method easily matches wrong peak value.
In the preferred embodiment of the present invention, if described image processing module 500 adopts CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.On conventional CrossCorrelation algorithm basis, method by priori value limits cross-correlation hunting zone, to avoid matching wrong cross-correlation coefficient peak value, and simplify the complexity of CrossCorrelation algorithm, met the requirement of global search real-time.
Concrete, the time shift (or skew) on traditional RF signal is being axially and transversely continuous, therefore the mode of asking for of priori value is: the skew of getting the same position point in previous point or the current some adjacent lines on current some the same line.For example: the previous some skew on current some the same line is 2, and the skew of so current point is just near 2, and cross-correlation hunting zone can be set between [1,3].
Accordingly, in another preferred implementation of the present invention, if described image processing module 500 adopts CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.All right--CrossCorrelation algorithm and AutoCorrelation algorithm, to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
Concrete, first described image processing module 500 adopts CrossCorrelation algorithm to calculate a rough deviant, get corresponding RF signal based on this rough deviant, then calculate an accurate deviant with AutoCorrelation algorithm, it is exactly final deviant accurately that these two deviants are added again.
The Chinese of described AutoCorrelation algorithm is auto-correlation algorithm.
Accordingly, described in conjunction with foregoing, described image processing module 500 is before adopting CrossCorrelation algorithm, method by priori value limits cross-correlation hunting zone, can, using the deviant of a upper point or near point directly as the rough deviant of current point, adopt again afterwards AutoCorrelation algorithm to calculate accurate deviant.Adopt this kind of method the amount of calculation of CrossCorrelation algorithm can be dropped to minimum, and the result that the AutoCorrelation carrying out after having guaranteed calculates described precision offset value is without aliasing.
Adopt AutoCorrelation algorithm to calculate in the process of described precision offset value, only need RF signal to carry out interim hilbert demodulation, can implement at algorithm layer, system structure is simple, but lost data information not.
Accordingly, in the preferred embodiment of the present invention, described image processing module 500 adopts PW mode treatment specifically to comprise to obtain target image: adopt ButterflySearch algorithm to the RF data of being obtained, directly carry out ultra sonic imaging processing, to obtain target image.
The described ButterflySearch algorithm adopting in described PW mode treatment is: for each speed component, RF signal in sample boxes is obtained to data along depth d epth direction along slope corresponding to this speed, corresponding data are calculated to its energy size, thereby carry out frequency spectrum demonstration.
Accordingly, described image processing module 500 adopts CF mode treatment and adopts PW mode treatment, directly RF data being calculated in search procedure, is the RF data based on obtained, and directly carries out ultra sonic imaging processing, to obtain target image; The prior art of comparing based on RF data are processed to obtain I/Q orthogonal signalling, and is carried out ultra sonic imaging processing, to obtain target image on the basis of I/Q orthogonal signalling; The sampled data precision of obtaining in its process is higher, and its result of calculation is more accurate.
As shown in Figure 5, Fig. 5 is the module diagram based on RF data ultra sonic imaging processing system that second embodiment of the invention provides.For the target image that makes finally to obtain based on RF data more clear, shown in Fig. 5, on the basis of the first embodiment shown in Fig. 4, increase by a pretreatment module 600 based on RF data ultra sonic imaging processing system, described pretreatment module 600 is carried out pretreatment for the RF data to obtained, remove the system noise in described RF data, make the target image that finally obtains more clear, level and smooth.
Accordingly, described pretreatment module 600 is carried out pretreatment to obtained RF data, the method of removing the system noise in described RF data has a variety of, and in the preferred embodiment of the present invention, described pretreatment module 600 adopts following method to remove the system noise in described RF data.
Accordingly, remove the noise RF signal data of acquisition system in the time of silent status
suppose that the ultrasonic echo RF signal data obtaining in actual use is
600 utilizations of described pretreatment module
can reach the effect of removing background noise.
Compared with prior art, of the present invention based on RF data ultra sonic imaging processing method and system, also referred to as RF metadata platform technology, after the RF data of obtaining in described echo-signal, RF data based on obtained, directly carry out ultra sonic imaging processing, to obtain target image; Of the present invention simple in structure based on RF data ultra sonic imaging processing system, but not lost data information, real-time performance and the picture quality of the diasonograph that adopts this processing method and system are improved, make diagnostic message and axial resolution more careful, clear, reduced manufacturing cost and use cost simultaneously.
For convenience of description, while describing above device, being divided into various modules with function describes respectively.Certainly, in the time implementing the application, the function of each module can be realized in same or multiple software and/or hardware.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the mode that the application can add essential general hardware platform by software and realizes.Based on such understanding, the part that the application's technical scheme contributes to prior art in essence in other words can embody with the form of software product, this computer software product can be kept in Protector, as ROM/RAM, magnetic disc, CD etc., comprise that some instructions (can be personal computers in order to make a computer equipment, Information Push Server, or the network equipment etc.) carry out the method described in some part of each embodiment of the application or embodiment.
Device embodiments described above is only schematic, the wherein said module as separating component explanation can or can not be also physically to separate, the parts that show as module can be or can not be also physical modules, can be positioned at a place, or also can be distributed on multiple mixed-media network modules mixed-medias.Can select according to the actual needs some or all of module wherein to realize the object of present embodiment scheme.Those of ordinary skills, in the situation that not paying creative work, are appreciated that and implement.
The application can be used in numerous general or special purpose computingasystem environment or configuration.For example: personal computer, Information Push Server computer, handheld device or portable set, plate equipment, multi-processing module system, system, set top box, programmable consumer-elcetronics devices, network PC, minicomputer, mainframe computer based on micro treatment module, comprise distributed computing environment of above any system or equipment etc.
The application can describe in the general context of the computer executable instructions of being carried out by computer, 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 Protector including preservation equipment.
Be to be understood that, although this description is described according to embodiment, but be not that each embodiment only comprises an independently technical scheme, this narrating mode of description is only for clarity sake, those skilled in the art should make description as a whole, technical scheme in each embodiment also can, through appropriately combined, form other embodiments that it will be appreciated by those skilled in the art that.
Listed a series of detailed description is above only illustrating for feasibility embodiment of the present invention; they are not in order to limit the scope of the invention, all do not depart from the equivalent embodiment that skill spirit of the present invention does or change and all should be included in protection scope of the present invention within.
Claims (19)
1. based on a RF data ultra sonic imaging processing method, it is characterized in that, said method comprising the steps of:
The echo-signal that S1, reception are obtained by sending ultrasonic signal;
S2, that described echo-signal is carried out to wave beam is synthetic;
S3, obtain the RF data in described echo-signal;
S4, RF data based on obtained, directly carry out ultra sonic imaging processing, to obtain target image.
2. according to claim 1ly it is characterized in that based on RF data ultra sonic imaging processing method, after described step S3, described method also comprises: obtained RF data are carried out to pretreatment, remove the system noise in described RF data.
3. according to claim 1 and 2ly it is characterized in that based on RF data ultra sonic imaging processing method, described step S4 specifically comprises: the RF data based on obtained, adopt B mode treatment, and CF mode treatment and PW mode treatment, to obtain target image.
4. according to claim 3ly it is characterized in that based on RF data ultra sonic imaging processing method, described B mode treatment specifically comprises: the RF data of obtaining are carried out to grey scale mapping imaging.
5. according to claim 4ly it is characterized in that based on RF data ultra sonic imaging processing method, described " the RF data of obtaining are carried out to grey scale mapping imaging " specifically comprises:
If the RF signal data of the synthetic output of wave beam is
i, get the absolute value of this RF signal data |
i| carry out grey scale mapping imaging.
6. according to claim 4ly it is characterized in that based on RF data ultra sonic imaging processing method, described " the RF data of obtaining are carried out to grey scale mapping imaging " specifically comprises:
If the RF signal data of the synthetic output of wave beam is
, structure
Drawn by above formula:
obtain
;
Now, get RF signal data
carry out grey scale mapping imaging.
7. according to claim 3ly it is characterized in that based on RF data ultra sonic imaging processing method, described CF mode treatment specifically comprises:
Adopt ButterflySearch algorithm,
Or adopt CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
8. according to claim 7ly it is characterized in that based on RF data ultra sonic imaging processing method, describedly " adopt CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image
in process, described method is further comprising the steps of:
Method by priori value limits cross-correlation hunting zone, to avoid matching wrong cross-correlation coefficient peak value.
9. according to claim 7ly it is characterized in that based on RF data ultra sonic imaging processing method, describedly " adopt CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image
in process, described method is further comprising the steps of, in conjunction with adopting AutoCorrelation algorithm, to obtained RF data, directly carries out ultra sonic imaging processing, to obtain target image.
10. according to claim 3 based on RF data ultra sonic imaging processing method, it is characterized in that, described PW mode treatment specifically comprises: adopt ButterflySearch algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
11. 1 kinds based on RF data ultra sonic imaging processing system, it is characterized in that, described system comprises:
Ultrasonic probe module, for sending and receiving ultrasonic signal;
Ultrasonic echo receiver module, for receiving the echo-signal of obtaining by sending ultrasonic signal;
Wave beam synthesis module, synthetic for described echo-signal being carried out to wave beam;
RF transfer of data memory module, for obtaining the RF data of described echo-signal;
Image processing module, for the RF data based on obtained, directly carries out ultra sonic imaging processing, to obtain target image.
12. according to claim 11ly is characterized in that based on RF data ultra sonic imaging processing system, and described system also comprises pretreatment module, and described pretreatment module, for obtained RF data are carried out to pretreatment, is removed the system noise in described RF data.
13. according to described in claim 11 or 12 based on RF data ultra sonic imaging processing system, it is characterized in that, described image processing module also for, RF data based on obtained, adopt B mode treatment, CF mode treatment and PW mode treatment, to obtain target image.
14. according to claim 13ly is characterized in that based on RF data ultra sonic imaging processing system, described image processing module adopt described B mode treatment take obtain target image as:
The RF data of obtaining are carried out to grey scale mapping imaging.
15. according to claim 14ly is characterized in that based on RF data ultra sonic imaging processing system, and described image processing module carries out grey scale mapping imaging to the RF data of obtaining and specifically comprises: if the RF signal data of the synthetic output of wave beam is
i, get the absolute value of this RF signal data |
i| carry out grey scale mapping imaging;
If the RF signal data of the synthetic output of wave beam is
, structure
,
Drawn by above formula:
obtain
;
Now, get RF signal data
carry out grey scale mapping imaging.
16. according to claim 13ly is characterized in that based on RF data ultra sonic imaging processing system, described image processing module adopt described CF mode treatment take obtain target image as:
Adopt ButterflySearch algorithm,
Or adopt CrossCorrelation algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
17. according to claim 16ly is characterized in that based on RF data ultra sonic imaging processing system,
Described image processing module adopts CrossCorrelation algorithm to obtained RF data, directly carries out ultra sonic imaging processing, specifically comprises to obtain target image:
Method by priori value limits cross-correlation hunting zone, to avoid matching wrong cross-correlation coefficient peak value.
18. is according to claim 16 based on RF data ultra sonic imaging processing system, it is characterized in that, described image processing module adopts CrossCorrelation algorithm to obtained RF data, directly carries out ultra sonic imaging processing, specifically comprises to obtain target image:
In conjunction with adopting AutoCorrelation algorithm, to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
19. according to claim 13ly is characterized in that based on RF data ultra sonic imaging processing system, described image processing module adopt described PW mode treatment take obtain target image as:
Adopt ButterflySearch algorithm to obtained RF data, directly carry out ultra sonic imaging processing, to obtain target image.
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| CN201510753113.3A CN105249992A (en) | 2014-02-20 | 2014-02-20 | RF-data-based ultrasonic imaging processing method and system |
| CN201510751813.9A CN105232088A (en) | 2014-02-20 | 2014-02-20 | Ultrasonic imaging processing method and system based on RF data |
| CN201510751984.1A CN105212964B (en) | 2014-02-20 | 2014-02-20 | Based on RF data ultrasonic imaging processing method and system |
| CN201510752662.9A CN105286918A (en) | 2014-02-20 | 2014-02-20 | Ultrasonic imaging processing method and system based on RF data |
| CN201510753114.8A CN105395214B (en) | 2014-02-20 | 2014-02-20 | Ultrasonic imaging processing method and system based on RF data |
| EP15752339.0A EP3108817B1 (en) | 2014-02-20 | 2015-02-09 | Rf data based ultrasonic imaging method |
| PCT/CN2015/072564 WO2015124069A1 (en) | 2014-02-20 | 2015-02-09 | Rf data based ultrasonic imaging method and system |
| US14/851,647 US10772609B2 (en) | 2014-02-20 | 2015-09-11 | Ultrasonic imaging processing method and system based on RF data |
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| CN201510752662.9A Division CN105286918A (en) | 2014-02-20 | 2014-02-20 | Ultrasonic imaging processing method and system based on RF data |
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| CN105286918A (en) | 2016-02-03 |
| CN105212964B (en) | 2018-12-25 |
| CN105212964A (en) | 2016-01-06 |
| CN105249992A (en) | 2016-01-20 |
| CN105395214B (en) | 2018-09-21 |
| CN105232088A (en) | 2016-01-13 |
| CN105395214A (en) | 2016-03-16 |
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