CN101564307A - An ultrasonic diagnostic apparatus display method - Google Patents

An ultrasonic diagnostic apparatus display method Download PDF

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Publication number
CN101564307A
CN101564307A CNA2009101466224A CN200910146622A CN101564307A CN 101564307 A CN101564307 A CN 101564307A CN A2009101466224 A CNA2009101466224 A CN A2009101466224A CN 200910146622 A CN200910146622 A CN 200910146622A CN 101564307 A CN101564307 A CN 101564307A
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area
image
elastic image
elastic
scoring
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CN101564307B (en
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松村刚
筱村隆一
三竹毅
押木光博
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Hitachi Healthcare Manufacturing Ltd
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Hitachi Medical Corp
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Abstract

The invention provides an ultrasonic diagnostic apparatus display method. The ultrasonic diagnostic apparatus comprises a displacement measuring section (109) for measuring the displacement of an organism tissue of a subject (100) according to a reflection echo signal received correspondingly when an ultrasonic wave is transmitted from a probe (101) to the subject (100), an elastic image creating section for creating an elastic image after determining the distortion amount or the elastic modulus from the displacement, and an image display (107) for displaying the elastic image. The ultrasonic diagnostic apparatus further comprises scoring means for specifying the distorted state or elastic state according to the information on the elastic image outputted from the elastic image creating section. The ultrasonic diagnostic apparatus for recognition helpful to diagnosis by giving and displaying a score serving as an index of diagnosis is provided.

Description

The display packing of diagnostic ultrasound equipment
The application's application number that to be the applicant submitted in JIUYUE in 2004 on the 9th dividing an application that be 200480026263.4 (PCT/JP2004/013410), denomination of invention for the international application of " diagnostic ultrasound equipment ".
Technical field
The present invention relates to a kind of diagnostic ultrasound equipment, it utilizes ultrasound wave the diagnosis position in the acceptor can be shown as the hardness of expression biological tissue or the elastic image of pliability.
Background technology
Common in the past diagnostic ultrasound equipment has following mechanism and constitutes, promptly control ultrasonic transmission/reception the ultrasonic transmission/reception controlling organization, acceptor is carried out that ultrasound wave sends and the ultrasonic transmission/reception mechanism that receives, uses from the reflective echo signal of this ultrasonic transmission/reception mechanism and obtain to contain the tomoscan mechanism of the faultage image data in the acceptor of motor tissue and the pictorial display mechanism that the time series faultage image data that obtains by this tomoscan mechanism is shown with specified period repeatedly.In addition, the structure with the biological tissue of acceptor inside for example shows as the Type B faultage image.
Relative therewith, recently, proposition has: bestow external force from the surface of acceptor artificially with pressue device or detector, compressing live body interior tissue, utilization is with the relevant calculation of the ultrasound wave received signal of 2 adjacent frames of time series (continuous 2 frames), try to achieve the displacement on the each point, and then by this displacement of space differentiation and instrumentation deformation, the method for these deformation data of image conversion; And then stress distributing of causing of the external force of giving chapter and verse and deformation data, be the method that the elastic modelling quantity data of representative are carried out image conversion to Young (Young) modulus etc. with biological tissue.According to the elastic image based on this deformation and elastic modelling quantity data (below be called the elasticity frame data), hardness that can the instrumentation biological tissue or pliability also show as elastic image.
As diagnostic ultrasound equipment, the device of record in patent documentation 1 or patent documentation 2 etc. is arranged.
Patent documentation 1: the spy opens flat 5-317313 communique
Patent documentation 2: the spy opens the 2000-060853 communique
But, aspect the image conversion of the elastic modelling quantity data of the biological tissue of such diagnostic ultrasound equipment in the past,, but be the degree of its hardness degree of identification for the disease of reality, do not give the diagnosis index of corresponding disease.
Summary of the invention
The present invention is the invention of finishing in view of above-mentioned viewpoint, and its purpose is, a kind of diagnostic ultrasound equipment that can give the diagnosis of disease location is had the index of certain help is provided.
In order to reach above-mentioned purpose, diagnostic ultrasound equipment of the present invention possesses: displacement instrumentation portion, and it launches ultrasound wave from detector to acceptor, receive with this and hyperacousticly launch corresponding reflective echo signal, according to the displacement of the biological tissue of the above-mentioned acceptor of above-mentioned emission echo signal instrumentation; Elastic image formation portion, it is obtained deformation quantity or elastic modelling quantity and constitutes elastic image from above-mentioned displacement; And display part, show above-mentioned elastic image; Wherein, possess according to information deformed state or elastic stage are carried out specific scoring mechanism from the above-mentioned elastic image of above-mentioned elastic image formation portion output.This above-mentioned scoring mechanism carries out specific according to the area or the shape of above-mentioned elastic image to deformed state or elastic stage.In addition, possesses the cross-section image formation portion that constitutes cross-section image according to above-mentioned reflective echo signal, above-mentioned scoring mechanism is according to the zone of the position, huttriall of the above-mentioned elastic image relation with respect to the specific region on the above-mentioned faultage image, carries out specific to deformed state or elastic stage.
Therefore,, give scoring and demonstration, can certain help be arranged and carry out identification diagnosis as diagnosis index by using elastic image, faultage image and elastic image.
Description of drawings
Fig. 1 is the block diagram of expression based on the embodiment of diagnostic ultrasound equipment of the present invention.
Fig. 2 is illustrated in setting pressure instrumentation portion (pressure transducer) in the ultrasonic detector, the figure of an example of the probe of instrumentation detector and the method for the pressure between the acceptor.
Fig. 3 is the figure of the example handled of scoring that the scoring input mechanism of presentation graphs 1 is carried out.
Fig. 4 is that expression is used the scoring input mechanism and the figure of the demonstration example of the image display when handling of marking.
Fig. 5 is that expression is based on the figure that stress signal marks.
Fig. 6 figure that to be expression mark based on the variation in zone of the elastic image due to the compressing.
Fig. 7 is the figure that expression is marked based on the tone figure of elastic image.
Fig. 8 is the figure of other embodiment of handling of scoring that the scoring input mechanism of presentation graphs 1 is carried out.
Fig. 9 is the figure of another different embodiment of handling of scoring that the scoring input mechanism of presentation graphs 1 is carried out.
Figure 10 is the flow chart that the example that the automatic scoring of extracted region application program handles has been used in expression.
Figure 11 is the figure that an example of the action that this automatic scoring is handled is represented on pattern ground.
Figure 12 is the figure that the moment of the elastic image that is used to mark is obtained in expression.
Figure 13 is the figure of an embodiment of the RF signal frame data selection portion of presentation graphs 1.
Figure 14 is the figure of other embodiment of the RF signal frame data selection portion of presentation graphs 1.
The specific embodiment
Below, be that the basis describes embodiments of the invention in detail with the accompanying drawing.Fig. 1 is the block diagram of expression based on the embodiment of diagnostic ultrasound equipment of the present invention.This diagnostic ultrasound equipment is to utilize ultrasound wave to obtain simultaneously the hardness of expression biological tissue or the elastic image of pliability being carried out device shown about the faultage image at the diagnosis position of acceptor 100.
As shown in Figure 1, this diagnostic ultrasound equipment, possesses using ultrasound wave detector 101, launching circuit 102, receiving loop 103, whole additive process loop 104 and signal processing part 105 are as the faultage image formation portion 118 that constitutes faultage image, possesses the displacement of application instrumentation portion 109, pressure instrumentation portion 110, deformation and elastic modelling quantity calculation portion 111, elastic data handling part 112 and 113 conducts of chromoscan transducer constitute the elastic image formation portion 119 of elastic image, and then possess the black and white scan converter 106 that the output signal of faultage image formation portion is carried out image transformation, image display 107, RF signal frame data selection portion 108, switch adder 114, the scoring input mechanism 115 of input scoring and according to elastic image or elastic image and faultage image deformed state or elastic stage are carried out specific scoring portion 116 and be configured.
By ultrasonic detector 101, launching circuit 102, receiving loop 103, whole additive process loop 104 and signal processing part 105, constitute ultrasonic transmission/reception mechanism.This ultrasonic transmission/reception mechanism is by using ultrasonic detector 101 and carry out ultrasound beamformer scanning by certain orientation in the body of acceptor 100, obtaining the mechanism of a width of cloth faultage image.Ultrasonic detector 101 is a plurality of oscillators to be arranged in oblong-shaped and the member that forms, carry out the beam scanning of mechanical type or electronics and acceptor 100 is carried out ultrasonic emitting and reception, though the diagram of omission is built-in with the oscillator that receives reflective echo as hyperacoustic generation source simultaneously therein.Each oscillator has usually and transmitting of the impulse wave of input or continuous wave be transformed into the function of ultrasound wave and emission and receive from the ultrasound wave of the internal reflection of acceptor 100 and be transformed into the received signal of the signal of telecommunication and the function exported.Thereby form.
Launching circuit 102 is, is used to drive ultrasonic detector 101 and takes place hyperacoustic exomonental while in generation, sets the focus point of ultrasonic waves transmitted for certain degree of depth by the whole additive process loop of built-in emission.Receiving loop 103 is to amplify the reflective echo signal that is received by ultrasonic detector 101 by the gain (gain) of regulation.The received signal of the quantity corresponding with each element number that is exaggerated is imported into whole additive process loop 104 as the independent received signal of difference.104 inputs of whole additive process loop are controlled their phase place by the received signal that receiving loop 103 amplifies, and any or a plurality of focus point are formed ultrasound beamformer.Signal processing part 105 input is from various signal processing such as the received signal in whole additive process loop 104 and the correction that gains, logarithmic compression, detection, profile enhancing, filtration treatment.
The RF signal frame data in the acceptor 100 that contains motor tissue are obtained in the use of black and white scan converter from the reflective echo signal of signal processing part 105 outputs of above-mentioned ultrasonic transmission/reception mechanism and with the ultrasound wave cycle, utilize switching adder 114 to make this RF signal frame data show on image display 107.Therefore, black and white scan converter 106 comprises and is used for reading the mechanism that the tomoscan mechanism and being used to of RF signal frame data carries out system's control successively according to the cycle of TV mode, the controller of for example will be transformed to the A/D converter of digital signal from the reflective echo signal of signal handling part 105, controlling with time series to a plurality of frame conservators of being preserved by the digitized faultage image data of this A/D converter with to their action etc. and being configured.
Image display 107 is to be that the Type B faultage image shows to the seasonal effect in time series faultage image data that obtains by black and white scan converter 106, be by D/A converter and the input that the view data from 106 outputs of black and white scan converter is transformed to analogue signal being constituted from the analog video signal of this D/A converter and as the color television monitor that image shows by switching adder 114.
In the present embodiment, from the outlet side branch in whole additive process loop 104 and RF signal frame data selection portion 108 and displacement instrumentation portion 109 are set, try to achieve the tissue elasticity modulus simultaneously, at this moment, be set side by side with pressure instrumentation portion 110 with it.Back segment in displacement instrumentation portion 109 and pressure instrumentation portion 110, deformation and elastic modelling quantity calculation portion 111, elastic data handling part 112 and chromoscan transducer 113 are set, are provided with at the outlet side of this chromoscan transducer 113 and black and white scan converter 106 and switch adder 114.In addition, the output of black and white scan converter 106 and chromoscan transducer 113 is directed to scoring portion 116, handles thereby carry out scoring.Narrate in the back about the details that this scoring is handled.
Displacement instrumentation portion 109 carries out the relevant or 2 yuan of relevant treatment of monobasic, the displacement of each point or mobile vector on the instrumentation faultage image (direction of displacement and size) according to 1 group of RF signal frame data selecting by RF signal frame data selection portion 108.As the detection method of this mobile vector, for example just like Block Matching Algorithm and gradient (gradient) method put down in writing in the patent documentation 1.Block Matching Algorithm is with the square of image segmentation precedent as being made of N * N pixel, according to preceding frame probe into to present frame in the most similar square of square had in mind, predict the method for symbolization with reference to this square.
The body intracavity pressure at the diagnosis position of 110 pairs of acceptors 100 of pressure instrumentation portion carries out instrumentation or deduction.The method that this diagnostic ultrasound equipment adopts is, use is at the ultrasonic detector 101 that is provided with on the detector probe 1011 and carry out ultrasonic transmission/reception under the control of control part 200, pressurize or reduce pressure by the prelum (not having diagram) that on detector probe 1011, is provided with simultaneously, and bestow and to distribute in the body cavity to the diagnosis position of acceptor 100.In the method, between detector probe 1011 and acceptor 100, apply the pressure of which kind of degree for instrumentation, for example, as shown in Figure 2, detect the side that the pressure transducer 1012 of bar-like member institute applied pressure is installed in detector probe 1011, pressure arbitrarily the time between relative detector probe 1011 and the acceptor 100 is measured, and the force value of measuring is transported to deformation and elastic modelling quantity calculation portion 111.Wherein, in Fig. 2, omitted the prelum that detector probe 1011 is pressurizeed, reduces pressure.
Deformation and elastic modelling quantity calculation portion 111 are amount of movement (displacement) and the pressure of exporting respectively according to from displacement instrumentation portion 109 and pressure instrumentation portion 110, the deformation or the elastic modelling quantity of the each point on the calculation faultage image, generate the numeric data (elasticity frame data) of deformation or elastic modelling quantity, it is outputed to elastic data handling part 112.Deformation calculation about deformation and elastic modelling quantity calculation portion 111 carry out for example, does not need pressure data, and the space differentiation by this displacement calculates tries to achieve.In addition, about the calculation of the Young's modulus of one of elastic modelling quantity, try to achieve by changing with pressure to calculate divided by the variation of amount of movement.
Chromoscan transducer 113 possesses hue information mapping device as described below, the input of described hue information mapping device is as from the elasticity frame data of elastic data handling part 112 outputs, from the order of control part 200 outputs of diagnostic ultrasound equipment or the higher limit and the lower limit of the hierarchical range of choice from the elasticity frame data of elastic data handling part 112 outputs, gives the hue information of red, green, blue etc. as the elastic image data from these elasticity frame data.This hue information mapping device carries out following action, for example, from the elasticity frame data of elastic data handling part 112 outputs, the zone that instrumentation deformation is bigger becomes red coding in elastic image data internal conversion, and the opposite zone that instrumentation deformation is less becomes blue-coded in elastic image data internal conversion.In addition, chromoscan transducer 113 also can be made of above-mentioned black and white scan converter 106.At this moment, the zone that instrumentation deformation is big, gray scale is brighter in the elastic image data, the opposite little zone of instrumentation deformation, gray scale is darker in the elastic image data.
Switch adder 114 and become input from the black and white faultage image data of black and white scan converter 106 with from the color elastic view data of chromoscan transducer 113, the mechanism that two images is carried out additive operation or switching; According to only exporting black and white faultage image data or color elastic view data or two view data being carried out the mode that addition is synthetic and export, switch.In addition, for example, as record in the patent documentation 2 like that, in 2 pictures show, can show black and white faultage image and colour simultaneously or based on the black and white elastic image of black and white scan converter.Be output to image display 107 from the view data of switching adder 114 outputs.
Next, the scoring to present embodiment describes.
Fig. 3 is the figure of the 1st embodiment handled of scoring that the scoring portion 116 of presentation graphs 1 carries out, and Fig. 3 (A) is the figure of expression from an example of the black and white faultage image data (Type B faultage image) of black and white scan converter 106 outputs.Fig. 3 (B)~(F) is the figure of expression from an example of the color elastic view data of chromoscan transducer 113 outputs, shows to medelling the situation of different symptoms respectively.In fact these elastic image data are carried out the colour corresponding with its hardness and are shown.For example, softish part (part that deformation is big) is red, and hard part (part that deformation is little) is blue, is green in the middle of both, shows as successive complexion changedization.Wherein, in Fig. 3, because can not show with such color, and show its situation with grid, soft zone shows that with coarse grid hard zone shows with refined net.When being the Type B faultage image of Fig. 3 (A), the oval-shaped part 61 of central authorities is disease locations of breast tumor etc., is called the low echo area territory.In addition, with in the elastic image with the corresponding zone of 61 same coordinates regionals, low echo area territory, in Fig. 3 (B)~(F), show with oval dotted line.For this low echo area territory 61, according to the corresponding state that how to show the elastic image data, the scoring input mechanism 115 of operating flexibility view data, the processing of marking was classified to elastic image respectively by 1~5 minute.Each marks 1~5 by following benchmark, whether satisfies the judgement of this benchmark, the processing of marking by the observer.Below, the benchmark about each scoring 1~5 is described.
1 minute: shown in Fig. 3 (B), based on the hard zone 62 of elastic image in the inside in low echo area territory 61 not by the case of clear and definite identification
2 minutes: shown in Fig. 3 (C), avoid the central part in low echo area territory 61 by the case of 1 part identification based on the hard zone 63,64 of elastic image
3 minutes: shown in Fig. 3 (D), do not arrive the boundary portion (profile) in low echo area territory 61, but contain low echo area territory 61 central parts and by the case of identification based on the hard zone 65 of elastic image
4 minutes: shown in Fig. 3 (E), based on the hard zone 66 of elastic image, equally be distributed to low echo area territory 61 boundary portion (profile) and by the case of identification
5 minutes: shown in Fig. 3 (F), when covering low echo area territory 61 whole, surpass the boundary portion (profile) in low echo area territory 61 and expand to the perimeter and by the case of identification based on the hard zone 67 of elastic image
Here, above-mentioned hard zone is in the deformation map picture as elastic image, can be used as the zone of carrying out instrumentation less than the deformation of the threshold value Ts of certain deformation is discerned, for example, if set deformation percent 0 as threshold value Ts, so as above-mentioned hard zone, even as the zone (instrumentation point group) that also fully forms compression by compressing and screened from body surface.Wherein, when the scanning at diagnosis position, accept this pressing force, use the elastic modelling quantity image, at this moment, the zone of the elastic modelling quantity greater than the threshold value Ty of certain elastic modelling quantity being carried out instrumentation can be discerned as hard zone as elastic image.
By scoring like this (classification), can be used as the index that disease is judged, diagnosis is offered help.Fig. 4 is that the mark figure of demonstration example of the image display 107 when handling of scoring mechanism 115 is used in expression.In the display frame 1071 of image display 107, be presented at the image that the translucent coloured image of the elastic image data that the hardness of overlapping expression tissue on the Type B faultage image shown in Fig. 3 (B)~(F) distributes forms, be provided with the hurdle 1072 of importing the scoring index and the viewing area 1073 that shows the index of respectively marking on its right side.In this viewing area 1073, show content of aforesaid each scoring is simply write clearly content, perhaps the figure of combined diagram 3 (B)~(F) and showing.Examiner one side compares with scoring index 1073, in scoring index input field 1072 import the scoring of observation display frame 1071 after thinking fit on one side.Carrying out of they from a left side by scoring input mechanism 105.Wherein, the image that shows in display frame 1071 can show the Type B faultage image at other windows shown in Fig. 3 (A) side by side.Therefore, the optic resolving power in the time of can improving the scoring processing.The scoring of input can be connected with the patient individual's who has in diagnostic ultrasound equipment function of reporting in scoring index input field 1072, also can be input to simultaneously in the scoring index input field that has in the function of reporting.In addition, at the illustraton of model that becomes the scoring index that also can write down simultaneously in the viewing area 1073 as Fig. 3 (B)~(F).
In the above-described embodiment, the examiner's observation shown image and situation about handling of marking in display frame 1071 described, use image processings and mark automatically (classification) by scoring portion 116.Below, describe handling based on the automatic scoring of this scoring portion 116.Scoring portion 116 is from the color elastic view data (deformation map picture) of chromoscan transducer 113 output, uses known border to detect the border detection that software detects, and tries to achieve the area B of hard subregion 62~67 according to pixel count etc.
In the 2nd embodiment, expression is only marked with the elastic image data.For example,, obtain the elastic image that becomes with reference to image in advance as reference information, with the pixel count in elastic image zone as area B, based on the scoring of the area of elastic image by following setting.
When X1<B is 1 minute
When X2<B≤X1 is 2 minutes
When X3<B≤X2 is 3 minutes
When X4<B≤X3 is 4 minutes
When B<X4 is 5 minutes
In addition, the elastic image data area that newly obtains is applied mechanically according to the area B of setting as mentioned above and is marked.In addition, this elastic image is if the image of a series of connections, and setting minimum scoring is more than 2, if the image that connects with the slick system of circles, setting minimum scoring is more than 3, also can be according to the shape set scoring of elastic image.
In addition, by the compressing acceptor, utilize the scoring of sending characteristic that stress signal on the so-called elastic image to handle as shown in Figure 5.Fig. 5 (a) (b) represents to oppress the figure of the state of acceptors 100 with detector 101.When the compressing malignant tumor, stress be shown by signal 122 as shown in Figure 5.Wherein Fig. 5 (a) represents benign tumor.
In scoring portion 116, preestablish the scoring corresponding with amplitude 123 that stress signal 122.For example, the big more elastic image of this amplitude is pernicious more just, so according to setting scoring shown in Figure 4.In addition, the elastic image 121 by amplitude that correspondence scoring is set and acquisition stress signal 122 amplitude 123 compare, carry out elastic image 121 scorings.Expression here use stress signal 122 the amplitude example of marking, but also can use area that stress signal 122 and mark.Like this can stress mark by signal by elastic image.
In addition, use elastic image that changes by the compressing acceptor and the example of marking processing as shown in Figure 6.When being malignant tumor, has the characteristic that for example blue zone that shows diminishes gradually when oppressing acceptor gradually.On the contrary, when being benign tumor, has the characteristic that blue viewing area increases gradually when oppressing acceptor gradually.Therefore, use this characteristic, in scoring portion 116, set as shown in Figure 4 at the scoring of the change color corresponding characteristic in the zone that is produced by compressing.In addition, the color that changes according to the elastic image according to compressing is marked.Basis can be marked based on the variation of the above-mentioned zone of the above-mentioned elastic image of compressing like this.
Utilize cryptomere figure (Cyst pattern) and mark the example handled as shown in Figure 7.So-called cryptomere figure is meant, makes the more shallow part 141 of the degree of depth of certain specific region of shown elastic image show paired figure for the zone 141 blue, that the degree of depth is darker for redness.Wherein, rule of thumb can know it is benign tumor with the zone of this cryptomere pictorial display.Therefore, the cryptomere figure is that optimum scoring is set in addition in scoring portion 116, if be recognized as the cryptomere figure then carry out so-called benign scoring on elastic image.Like this, so also can mark according to the form and aspect figure of elastic image.
In the above-described embodiment, to only describing with the elastic image data situation about handling of marking, but in the 3rd embodiment, just by using faultage image data to handle as the automatic scoring of the elastic image data of reference information, application drawing 3 grades describe.At first, scoring portion 116 detects from the low echo area territory 61 of the disease location of the black and white faultage image data (Type B faultage image) of black and white scan converter 106 output by known border detection software.Try to achieve the area A in detected zone 61 according to pixel count etc.Then, scoring portion 116, from the color elastic view data (deformation map picture) of chromoscan transducer 113 output, carry out same border detection, trying to achieve in the low echo area territory of disease location the area B than the zone 62~67 of hard portion of 61 inside instrumentation according to pixel count etc.Here, when hard zone as zone 63,64 during a plurality of being dispersed in, with their area with as area B.
Scoring portion 116 is the basis with the area A of trying to achieve respectively, the pass of B, according to the following processing of marking.
At first, as the ratio of above-mentioned area A, B, B/A is made as Z and performs calculations.In addition, in diagnostic ultrasound equipment, set with as described below in advance as the threshold value of area ratio.
1 minute threshold value Th1 (for example 0.1)
2 minutes threshold value Th2 (for example 0.3)
3 minutes threshold value Th3 (for example 0.7)
4 minutes threshold value Th4 (for example 1.0)
So, carry out following judgement:
When Z<Th1 is 1 minute
When Th1<Z≤Th2 is 2 minutes
When Th2<Z≤Th3 is 3 minutes
When Th3<Z≤Th4 is 4 minutes
When Th4<Z is 5 minutes
In addition, except the foregoing description, for example, as shown in Figure 8, central part in low echo area territory 61, area is set less than the low echo area territory and have the area-of-interest 61a of certain ratio (for example area A * 0.6), for this area-of-interest 61a, same as described above, except above-mentioned methods of marking, can carry out the evaluation which kind of degree zone hard in the elastic image occupies, thus, not only increase hard zone and occupy ratio with respect to the area in low echo area territory in the evaluation of scoring, hard zone is inner and outside in the low echo area territory with what kind of spatial distribution to dispose but also increase, and can expect to improve the result of evaluation precision.
And then, in addition, for example, as shown in Figure 9, be not only above-mentioned central area-of-interest, and be benchmark with the boundary in low echo area territory, in boundary inner or inside and outside a plurality of area-of-interest 62b are set, for these a plurality of area-of-interests and above-mentioned same, the evaluation of which kind of degree is occupied in the hard zone that can carry out in the elastic image, in addition, about a plurality of area-of-interest 62b each, estimate at first in the area that occupies separately whether hard regional proportion surpasses certain certain ratio in the elastic image, can in the evaluation of scoring, utilize the area-of-interest that surpasses this ratio to be put into several.In addition, border detection go out can application of known speckle (snake) method or region-growing method wait and reach.When by shade hiding borders such as (shadow), can set ROI or according to around boundary information deal with methods such as interpolations.
In addition, in the above-described embodiment, expression is applied in the example that the occupation rate in the hard zone of distribution is marked in low echo area the territory in, but, as other embodiment, can implement statistical disposition to the elastometer measuring point group that the low echo area territory contains as female group, mark according to the characteristic quantity of this statistics, for example, as described below the method for using this meansigma methods is described.
To be made as N by the prime number always of intrinsic instrumentation point group in the low echo area territory, the deformation of each instrumentation point or elastic modelling quantity are made as Ei (i=1,2,3 ... N).Therefore, calculate the deformation of intrinsic instrumentation point in the low echo area territory or the meansigma methods Em of elastic modelling quantity as follows.
(meansigma methods Em)=∑ Ei (i=1,2,3 ... N)
In addition, in advance the excusing from death diagnostic equipment in, with
1 minute threshold value Tm1
2 minutes threshold value Tm2
3 minutes threshold value Tm3
4 minutes threshold value Tm4
Threshold value as meansigma methods is set, when elastic modelling quantity being performed calculations as the elastic value of reflection,
Keep the magnitude relationship of Tm1<Tm2<Tm3<Tm4 to set, carry out following judgement,
When Z<Tm1 is 1 minute
When Th1<Z≤Tm2 is 2 minutes
When Th2<Z≤Tm3 is 3 minutes
When Th3<Z≤Tm4 is 4 minutes
When Th4<Z is 5 minutes
In addition, when using deformation as the elastic value of reflection,
Keep the magnitude relationship of Tm1>Tm2>Tm3>Tm4 to set, carry out following judgement,
When Tm1<Z is 1 minute
When Tm2<Z≤Tm1 is 2 minutes
When Tm3<Z≤Tm2 is 3 minutes
When Tm4<Z≤Tm3 is 4 minutes
When Z<Tm4 is 5 minutes
In the above description, use meansigma methods as an example, but the present invention is not limited to this, implements with the low echo area territory and contain the statistical disposition as female group of the elastic instrumentation point group that contains, it is very important to be with the characteristic quantity of this statistics to mark in the basis.
Object lesson when using image processing to mark (classification) automatically to scoring portion 116 describes.At first, as shown in Figure 3, scoring portion 116 is by for example region-growing method as known extracted region software, detects from the area A in the low echo area territory 61 of the disease location of the black and white faultage image data (Type B faultage image) of black and white scan converter 106 outputs.Try to achieve the area A in detected zone according to pixel count etc.Then, scoring portion 116 is from the color elastic view data (deformation map picture) of chromoscan transducer 113 output, to be shown as in the zone of area A than territory, hard area 62~67, the device user is that can set arbitrarily and pixel count more than the gray value that have regulation is counted.With this pixel count as area B.Based on this area A and area B (having the above pixel count of regulation gray value), carry out following scoring and handle.
At first, as the ratio of area (pixel count) A, B, B/A is set to Z and performs calculations.In addition, in diagnostic ultrasound equipment, set in advance
1 minute threshold value Th1 (for example 0.1)
2 minutes threshold value Th2 (for example 0.3)
3 minutes threshold value Th3 (for example 0.7)
4 minutes threshold value Th4 (for example 1.0)
Threshold value as the area ratio.
Therefore, at this moment, when Z<0.7, follow rule as follows and turn back to scoring.
When Z<Th1 is 1 minute
When Th1<Z≤Th2 is 2 minutes
When Th2≤Z≤Th3 is 3 minutes
And then, as Th3≤Z (0.7≤Z) time, in the elastic image data (deformation elastic image) of gained, with above-mentioned same, in known extracted region application program (for example, region-growing method), extraction shows the zone that has more than the regulation gray scale as hard zone 65~67.At this moment, extract the zone and be not limited in the above-mentioned low echo area territory 61, the zone of containing this edge also becomes the extraction object.
With the extraction area that obtains here as C.As the ratio of area A, C/A is made as Z ' performs calculations with area C.This Z ' value turns back to
When Th3<Z '≤Th4 is 4 minutes
Be 5 minutes when Th4<Z '.
In the above-described embodiment, till 3 minutes, aspect the elastic image data, do not need extracted region to handle, can mark.
Figure 10 is the flow chart that the example that the automatic scoring of extracted region application program handles has been used in expression.Figure 11 is the figure of the action of this automatic scoring processing of pattern ground expression one example.Here, as the extracted region algorithm, be that example describes with region growing (Region Growing) method.
In step S91, in order to obtain the deformation elastic image, after any means pressurization,, select to want the low echo portion of extracted region with the Type B faultage image of depicting.This selection is handled shown in Figure 11 (A) by specifying the optional position in the low echo area territory 61 to carry out as source point (source point) (being recited as SP among the figure).
In step S92,, carry out the extraction in the low echo area territory 61 shown in Figure 11 (B) according to source point SP indicated in step S91 and the threshold value of giving with any means.Region-growing method is meant, with the zone of indicated source point SP adjacency in, extract the method that gray value differences is included the zone in the predefined value (threshold value) in.Therefore, count the area in the low echo area territory 61 of being extracted by methods such as counting pixel counts.In Figure 11 (B), this area is recited as SBW.
In step S93, in the deformation elastic image of in this low echo area territory, being drawn, compare than the gray value in territory, hard area with user representing of setting arbitrarily and represent that more the area of the gray value in territory, hard area is counted having with pixel count.In Figure 11 (C), should be recited as Sb1 than the territory, hard area.
In step S94, carry out than the area Sb1 in territory, hard area whether less than the judgement of area SWB * 0.7 in low echo area territory.The result who judges is when (during as SWB * 0.7>Sb1), entering step S95 than the area Sb1 in territory, hard area less than area SWB * 0.7 in low echo area territory.Then, in step S95, turn back to until 1~3 minute the value corresponding respectively with each value.
On the contrary, the judged result of step S94 is when the area Sb1 than the territory, hard area is that the area SWB * more than 0.7 in low echo area territory (during SWB * 0.7≤Sb1), might not bring in the low echo area territory than the area Sb1 of position, huttriall, so enter step S96.
In step S96, in the elastic image data, carry out the extraction in zone (area Sb1 ') once more based on region-growing method.At this moment, extract till extraction contains the zone of neighboring area in low echo area territory of Type B faultage image.During the extracted region was here handled, source point SP can directly use by the indicated source point of above-mentioned Type B faultage image, also can reset in addition.The area in the zone of here extracting is made as Sb1 '.So, in step S97, turn back to and 4,5 minutes corresponding value of the area SBW in low echo area territory and the ratio of area Sb1 ' (SWB/Sb ').Specifically, when Sb1 '<SBW, turn back to 4 fens, in addition then turn back to 5 fens.
Like this, by with carrying out extracted region in the known extracted region application program (for example, region-growing method), can carry out the scoring processing that distributes corresponding with the hardness of tissue automatically.Here, above-mentioned threshold value is whole examples only, according to the judgement of user, can freely change.
In addition, in the above-described embodiment, expression detects the example of profile information in the low echo area territory of disease location in the Type B faultage image by known border detection software, but as other embodiment, can use the interface (mouse, trace ball etc.) of ultrasonic unit, the profile at examiner imported disease position on shown Type B faultage image is the area A of trying to achieve zone 61 substantially with this profile information, compare the judgement of marking automatically with the area B of trying to achieve by said method.Wherein, above-mentioned scoring is an example, and it is very important using the elastic image contain the deformation map picture to mark, and employed numerical value etc. only is an example in above-mentioned scoring, uses various optimums according to the actual clinical case is preferred certainly.In addition, in the above description,, but in the zone outside this, to the methods of marking that meet this regional case be defined certainly particularly being the mammary gland zone example as the methods of marking of object.In addition,, not only in scoring, utilize separately respectively, also can a plurality of method combinations utilize, certainly once mark based on the methods of marking of above embodiment.
In the above-described embodiment, scoring portion 116 used from the black and white faultage image data (Type B faultage image) of black and white scan converter 106 outputs with from the color elastic view data (deformation map picture) of the chromoscan transducer 113 outputs situation about handling of marking describe, but also can use output, carry out same scoring from the output of elastic data handling part 112 or deformation and elastic modelling quantity calculation portion 111 and handle from signal processing part 105.In addition, in the above-described embodiments, in Fig. 1, be marked with pressure instrumentation portion, but when try to achieve deformation, the demonstration deformation map as the time, can not have pressure instrumentation portion.
Figure 12 is the figure with moment (timing) of 111 calculation deformation of deformation and elastic modelling quantity calculation portion or elastic modelling quantity that is illustrated in above-mentioned embodiment.The state of not oppressing acceptors 100 with detector 101 is shown 0, and the boundary of compressing is shown MAX.The moment of obtaining elastic image is meant the moment of light oppression state, obtains the elastic image of the state of oppressing with 3~20% degree of compressing boundary, and the elastic image that is obtained is marked.
Specifically,, detect the force value of compressing boundary in advance, this force value is kept in the scoring portion 116 as pressure MAX value by pressure transducer 1012.With the pressure MAX value of preserving as a reference, use the input mechanism 115 of marking, the force value of the elastic image that compressing is obtained is set.Wherein, the force value of setting can be set at 10% force value of pressure MAX value for example arbitrarily.Then, compressing acceptor 100, the elastic image of the time point when obtaining the force value that arrives setting is marked to this elastic image that obtains.
In the elastic image under brute force compressing acceptor 100 states,,, can improve the scoring precision by in the elastic image that the moment of compressing obtains gently as mentioned above, marking because be difficult to identification sometimes than position, huttriall and soft position.
About the action of the RF signal frame data selection portion 108 of above-mentioned embodiment, use Figure 13 to describe.Figure 13 is the figure of an embodiment of the RF signal frame data selection portion of presentation graphs 1.RF signal frame data selection portion 108 can be selected arbitrarily to trace back to frame number (with the frame period number of current frame data) in the past, as RF signal frame data of the benchmark that becomes the displacement instrumentation.That is, RF signal frame data selection portion 108 is in the frame conservator 1081 that RF signal frame data selection portion 108 is possessed, in turn to the frame per second of diagnostic ultrasound equipment from whole additive process loop 104 through the time ground in succession the RF frame data of output preserve.RF signal frame data selection portion 108 will the current data of preserving of putting be made as RF signal frame data N in frame conservator 1081.RF signal frame data selection portion 108, according to control command from the control part 200 of diagnostic ultrasound equipment, RF signal frame data N-1, N-2, N-3 according to time from the past ... select RF signal frame data among the N-M, it as RF signal frame data X, is selected temporarily to take in the loop 1082 in RF signal frame data.Up-to-date RF signal frame data N that RF signal frame data selection portion 108 will be taken in frame conservator 1081 and the RF signal frame data X that takes in RF signal frame data selection loop 1082 output in the displacement instrumentation portion 109 side by side.
Promptly, in RF signal frame data selection portion 108, at first, as the RF signal frame data X that constitutes the past of 1 group of RF signal frame data of output in displacement instrumentation portion 109, not only can select the RF signal frame data N-1 with current RF signal frame data N timeliness adjacency arbitrarily, can also select M frame (M=1,2,3 at interval arbitrarily ...) RF signal frame data N-M as the RF signal frame data X in past.Wherein, Jian Ge frame period is counted M (M=1,2,3 ...) can set arbitrarily, change according to the use interface of ultrasonic unit.
Figure 14 is the figure of other embodiment of the RF signal frame data selection portion of presentation graphs 1.The RF signal frame data selection portion 108 of Figure 14 according to the control command from the control part 200 of diagnostic ultrasound equipment, is kept at the RF signal frame data P that obtains in the some time phase P in the past in frame conservator 1081.RF signal frame data are selected loop 1082, the RF signal frame data P that preserves frame conservator 1081 in is not upgraded, but usually when any the RF signal frame data in the past in mutually come reference.Therefore, in displacement instrumentation portion 109, can take in 1 group of RF signal frame data that RF signal frame data N and RF signal frame data P by current preservation constitute.The moment of whether adopt as shown in figure 14 function, obtaining RF signal frame data P in addition when employing can switch arbitrarily, set and change according to the use interface of diagnostic ultrasound equipment as how setting.
When the interval of past that will constitute 1 group of RF signal frame data and current RF signal frame data N, P is defined as adjoining frame, amount of pressurization or the decompression amount bestowed in the interval between RF signal frame data, sometimes fully do not reach the amount of pressurization or the decompression amount (general about 1%) that are fit to draw the elastic image data, wherein said RF signal frame data are formed in the group of a plurality of RF signal frame data of obtaining in a series of pressurization or the decompression operation process.Relative therewith, by as Figure 13 and formation RF signal frame data selection portion shown in Figure 14, can fully increase in the past and the frame period between current RF signal frame data, can draw elastic image fully based on the elasticity frame data.This is particularly in ultrasound investigation, and the physical restriction of the physique by the person under inspection is very useful under the situation of the pressurization in can't fully increasing a series of pressurization or decompression operation process or the speed of decompression.

Claims (9)

1. the display packing of a diagnostic ultrasound equipment is characterized in that:
Comprise:
From the step of detector to the reflective echo signal formation faultage image that acceptor emission ultrasound wave also receives and this hyperacoustic emission is corresponding,
According to the step of the displacement of the biological tissue of the described acceptor of described emission echo signal instrumentation,
Obtain deformation quantity or elastic modelling quantity and constitute the step of elastic image from described displacement,
Show described faultage image and described elastic image step and
For described elastic image, corresponding to will the mark step of index classification of the soft or hard at described acceptor position.
2. the display packing of a diagnostic ultrasound equipment is characterized in that:
Comprise:
From the step of detector to the reflective echo signal formation faultage image that acceptor emission ultrasound wave also receives and this hyperacoustic emission is corresponding,
According to the step of the displacement of the biological tissue of the described acceptor of described emission echo signal instrumentation,
Obtain deformation quantity or elastic modelling quantity and constitute the step of elastic image from described displacement,
Show described faultage image and described elastic image step and
The step of the scoring index input that will classify to described elastic image corresponding to the soft or hard at described acceptor position.
3. the display packing of diagnostic ultrasound equipment as claimed in claim 1 or 2 is characterized in that:
In the step of described input, will import based on the scoring index that the area or the shape at described acceptor position are classified to described elastic image.
4. the display packing of diagnostic ultrasound equipment as claimed in claim 1 or 2 is characterized in that:
Have the low echo area territory on the described faultage image set for the first area, set the zone at the hard position on the described elastic image setting step of second area for, the step of described input be with based on the area of described first area and second area than and the step of the scoring index input of classifying.
5. the display packing of diagnostic ultrasound equipment as claimed in claim 1 or 2 is characterized in that:
Have the low echo area territory on the described faultage image is set for the first area, set the zone at the hard position on the described elastic image setting step of second area for, the step of described input is the step of the scoring index input of will classify based on the distribution of described first area and second area.
6. the display packing of a diagnostic ultrasound equipment is characterized in that:
Comprise:
From the step of detector to the reflective echo signal formation faultage image that acceptor emission ultrasound wave also receives and this hyperacoustic emission is corresponding,
According to the step of the displacement of the biological tissue of the described acceptor of described emission echo signal instrumentation,
Obtain deformation quantity or spring rate and constitute the step of elastic image from described displacement,
Show described faultage image and described elastic image step and
With the step that the zone that shows the input field of following scoring index shows, described scoring index is to represent the index of scoring index classification of the soft or hard at subject position for described elastic image.
7. the display packing of diagnostic ultrasound equipment as claimed in claim 6 is characterized in that:
Described scoring index is classified to described elastic image based on the area or the shape at described acceptor position.
8. the display packing of diagnostic ultrasound equipment as claimed in claim 6 is characterized in that:
Have the low echo area territory on the described faultage image is set for the first area, set the zone at the hard position on the described elastic image setting step of second area for, described scoring index is classified based on the area ratio of described first area and second area.
9. the display packing of diagnostic ultrasound equipment as claimed in claim 6 is characterized in that:
Have the low echo area territory on the described faultage image is set for the first area, set the zone at the hard position on the described elastic image setting step of second area for, described scoring index is classified based on the distribution of described first area and second area.
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CN104143193A (en) * 2014-08-07 2014-11-12 深圳市开立科技有限公司 Partition method, device and system for target objects in ultrasonic image
WO2014198012A1 (en) * 2013-06-09 2014-12-18 中国科学院深圳先进技术研究院 Ultrasound elasticity image based method and system for elastic strain evaluation
CN109640829A (en) * 2016-07-19 2019-04-16 奥林巴斯株式会社 The working procedure of ultrasound observation apparatus, the working method of ultrasound observation apparatus and ultrasound observation apparatus
CN109919918A (en) * 2019-02-21 2019-06-21 清华大学 Control method and device, computer equipment and the readable storage medium storing program for executing of elastogram

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JP5260602B2 (en) * 2010-06-11 2013-08-14 ジーイー・メディカル・システムズ・グローバル・テクノロジー・カンパニー・エルエルシー Ultrasonic diagnostic equipment
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WO2014198012A1 (en) * 2013-06-09 2014-12-18 中国科学院深圳先进技术研究院 Ultrasound elasticity image based method and system for elastic strain evaluation
CN104143193A (en) * 2014-08-07 2014-11-12 深圳市开立科技有限公司 Partition method, device and system for target objects in ultrasonic image
CN104143193B (en) * 2014-08-07 2018-10-16 深圳开立生物医疗科技股份有限公司 Target object dividing method, apparatus and system in a kind of ultrasonoscopy
CN109640829A (en) * 2016-07-19 2019-04-16 奥林巴斯株式会社 The working procedure of ultrasound observation apparatus, the working method of ultrasound observation apparatus and ultrasound observation apparatus
CN109919918A (en) * 2019-02-21 2019-06-21 清华大学 Control method and device, computer equipment and the readable storage medium storing program for executing of elastogram

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