CN101790351A - Systems and methods for automated image selection in doppler ultrasound imaging systems - Google Patents
Systems and methods for automated image selection in doppler ultrasound imaging systems Download PDFInfo
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- G01S7/52017—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S15/00 particularly adapted to short-range imaging
- G01S7/52053—Display arrangements
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Abstract
An ultrasound system (10) is disclosed for selecting a diagnostic image from a series of ultrasound images. An image characterization parameter, such as the standard deviation, is calculated for each of a series of Doppler ultrasound images. The image characterization parameters are then analyzed to select an image corresponding to a predetermined point in a patient's cardiac cycle. The selected image is then displayed. In some embodiments, Doppler images are processed to identify an area of interest corresponding to an individual blood vessel. The image characterization parameter is then calculated based on the area of interest. The area of interest may be identified by receiving a user input, such as positioning a cursor at a specific point on an image. In other embodiments, ultrasound images are mapped to points on an ECG waveform and an image is selected based on analysis of the ECG waveform.
Description
The present invention relates to be used to handle and present the system and method for the ultrasonoscopy of Doppler pattern to the clinicist.
The progress of ultrasonic technique makes it possible to come the intravital blood flow of imageable target by the frequency displacement of measuring in the reflection supersonic wave.Usually, velocity measurement is mapped to colour code (color scale) and it is shown as the coloured image that covers on the gray scale tissue density image.This image can be used to measure the blood flow in aorta or the heart self, so that diagnose the illness.
The operator carries out a series of ultrasonic measurements with sufficiently high frequency in existing system, is in the blood-stream image of different phase in the cardiac cycle with generation.This operator rolls then and reads (scroll through) this image and attempt to discern the corresponding image of specified point in the cardiac cycle with the patient, thereby assesses for example patient's cardiac function.This process normally consuming time and owing to different operating person's experience level and personal error cause this process to change.
In view of this, maybe advantageously provide a kind of system so that the corresponding ultrasonoscopy of predetermined point in convenient and identification consistently and patient's the cardiac cycle.
In one aspect of the invention, gather the series of Doppler image of the intravital blood flow of patient.At each Doppler image calculation characteristics of image parameter.Analyze described characteristics of image parameter then to select in the Doppler image, for example with patient's cardiac cycle in the corresponding Doppler image of predetermined point.Show selected image to the operator then.In certain embodiments, the described characteristics of image parameter standard deviation that is the pixel color of composition diagram picture.
In another aspect of this invention, handle the Doppler image with identification and the independent corresponding area-of-interest of blood vessel.Calculate described characteristics of image parameter based on area-of-interest then.Can pass through to receive user's input, as position a cursor over the specified point on the image, discern area-of-interest.
In another aspect of this invention, when carrying out ultrasonic scanning, measure patient's electrocardiogram (ECG).Analyze the generation of this ECG then with predetermined point in the cardiac cycle of determining the patient.Discern then based on being shown to the operator with the image of the simultaneous substantially ultrasonic measurement of generation of predetermined point and with it.
In the accompanying drawings:
Fig. 1 is the block diagram of ultrasonic diagnosis imaging system according to an embodiment of the invention;
Fig. 2 is the process chart that is used for the method for identifying and diagnosing image according to embodiments of the invention;
Fig. 3 be utilize the colored Doppler picture that ultrasonic system produces film winding (cineloop) inlay demonstration;
Fig. 4 utilizes colored Doppler picture that ultrasonic system produces with the inlay demonstration of post processing with the film winding of removing the pseudo-movie queen of flash of light;
Fig. 5 is an image of cutting apart colored Doppler ultrasonoscopy;
Fig. 6 utilizes that ultrasonic system produces and has the image of cursor and overlapping relevant area-of-interest on it according to embodiments of the invention;
Fig. 7 is the process chart that is used to select the method for area-of-interest according to embodiments of the invention;
Fig. 8 is used to utilize electrocardiogram (ECG) watch-dog and ultrasonic system to select the block diagram of the system of diagnostic image according to embodiments of the invention;
Fig. 9 illustrates the periodic chart of ultrasonic scanning with respect to the ECG waveform according to embodiments of the invention;
Figure 10 is used for process chart based on the method for ECG waveform recognition diagnostic image according to embodiments of the invention;
Figure 11 is the process chart of method that is used for discerning the diagnostic image of video ultrasound display system;
Figure 12 is the process chart of alternative that is used for discerning the diagnostic image of video ultrasound display system.
With reference to figure 1, ultrasonic diagnosis imaging system 10 comprises and is positioned to the probe 12 that contacts with patient 14.This probe preferably includes transducer, and this transducers transmit ultrasonic waves enters the echo that also receives in patient's 14 bodies from patient's tissue.In certain embodiments, this transducer is the phased array transducers array that comprises piezoelectric element.The element of this transducer is coupled to Beam-former 16, and this Beam-former can be operated with generation and be used for the driving signal of this transducer and the signal that processing was received, so that as known in the art wave beam is guided and focuses on patient's the dissection.
Image processor 18 and Doppler processor 20 are coupled in the output of Beam-former 16.As known in the art, Doppler processor 20 is analyzed the output of Beam-former 16, so that the motion in definite patient tissue such as the feature of blood flow.Image processor 18 converts the output of Beam-former 16 to the density of the tissue in the scanning area of representing probe 12 and the image on border.Image processor 18 also can receive the output of Doppler processor 20 and produce colour, gray scale or other pictorial representations of the motion in the scanning area.Image 22 from image processor 18 is stored in the frame buffer 24.Frame buffer 24 has the pointer related with it 26, in this pointer indicating image 22 one and changed by user interface 34.
Can be by image analysis module 28 analysis images 22 so that diagnose based on image 22.In certain embodiments, image analysis module 28 is covered the some parts of image 22 or is created the image coverage diagram.To be input to video processor 30 from the image 22 and the image coverage diagram of analysis module 28, this video processor generates signal one or more with in display image 22 on display 32 and the image coverage diagram.In certain embodiments, the image coverage diagram is stored in the image storage 24, and video processor 30 is from image storage 24 reading images and coverage diagram.The image 22 that is presented on display 32 by video processor 30 can be the image of pointer 26 indications.User interface 34 is coupled to image analysis module 28 and receives about executed analysis, with operator's input of the coverage diagram that shows etc.In certain embodiments, user interface 34 image 22 that the operator can be rolled read on the display 32.For example, user interface 34 can show which image 22 with numerical value or the adjustment of adjusting pointer 26 with image storage 24 couplings, so that make the user can roll reading image 22.User interface 34 also can comprise mouse, keyboard, touch screen or similar devices.In certain embodiments, user interface 34 is coupled to video processor 30 so that the display graphics user interface elements.
Image processor 18, Doppler processor 20, frame buffer 24 and image analysis module 28 can be represented the independent assembly of ultrasonic system or the difference in functionality that expression is carried out by single computing equipment.System 10 can be that special-purpose ultrasonic system or execution are applicable to that processing also generates the general purpose computer of the software of control signals for probe 12 from the signal of probe 12.
With reference to figure 2, ultrasonic system such as system 10 can manner of execution 36 facilitate the use system 10 and diagnose.In step 38, preferably the interval that closely separates in the contiguous period is sentenced sufficiently high speed and is carried out a series of scannings, to gather the variation of the blood flow in the independent cardiac cycle.Therefore, for example the image acquisition rates between 10 times to 30 times of patient's heart rate may be enough.Also preferably comprising execution scanning in the period of at least one complete cardiac cycle.
In step 40, generate tissue density's (gray scale) image of the tissue density in the scanning area of representing probe 12 at each scanning by image processor 18.In step 42, generate the Doppler image of the blood flowing speed in the scanning area of representing probe 12 at each scanning by Doppler processor 20.The Doppler image is used the color showing velocity information usually.As shown in Figure 3, Doppler image 44 and the tissue density's image 46 at each scanning can make up.Clearly visible as Fig. 3, in a series of tissue densities image, see aortic wall 48 of near-end and inner chamber 50.Blood flow 52 is displayed on the Doppler image and covers among Figure 44.
Can further handle so that improve picture quality and remove noise Doppler image 44 and tissue density's image 46.For example, in step 54, can be with threshold application in Doppler image 44 so that remove noise.Generate the mask that flows in step 56.Generate the mask that flows and to comprise that analysis Doppler image 44 and/or tissue density's image 46 are with the identification image section corresponding with blood vessel.The mobile mask of generation can comprise to be asked on average to remove pulsation effect many images 44.Can use different average algorithms and comprise the average and average mobile mask of vector velocity of absolute velocity with generation.Absolute velocity is on average ignored by the symbol (or direction) of average speed pixel, and vector velocity is on average handled the speed pixel as angle phase value.Vector on average will show high numerical value in relevant flow region, and it will show fractional value owing to vector washout in colored Doppler noise region.
Be applied to Doppler image 44 at step 58 mask that will flow.Use the mask that flows in step 58 and will remove that part of Doppler image 46 corresponding with noise.
In step 60, the Doppler image is carried out flash of light reduce.Flash of light refers to as transducer or histokinesis but not the result's of blood flow Doppler view data.Remove flash defects 62 as shown in Figure 3 during flash of light shown in Figure 4 reduces step 60, defective 62 has been removed in Fig. 4.
In step 64, carry out vessel segmentation.For purpose of the present disclosure, vascular can also comprise the chamber of heart.In this example, vessel segmentation comprises analyzes Doppler image 44 so that block of pixels is associated with independent blood vessel.The mobile mask of using in step 58 can promote segmentation procedure by the scope of discerning each blood vessel.In certain embodiments, " the connected component algorithm " with classics is applied to flow mask images so that the different vasculars in the image are cut apart.For example, as shown in Figure 5, zone 66 has been identified as the neighborhood pixels piece corresponding with the blood flow in the near-end large artery trunks.
In step 68, the vascular through cutting apart is shown to the operator.In step 70, system 10 receives the operator's input which vascular through cutting apart indication will analyze.In alternate embodiments, select one or more independent vasculars automatically based on some standard such as size, picture quality etc., and manual execution in step 68 and 70.Can use different vascular selection technology, comprise the maximum vertically shape analysis technology of vascular of selection such as the measured value that utilizes object area and eccentricity.Exploration information can be used for the vascular selection course, and wherein the vascular selection algorithm can be guided in background information that is provided by ultrasonic system such as current clinical presetting (the relative vein of tremulous pulse) and current Doppler cursor (sampling volume) position.
In step 72, select mask to be applied to Doppler image 44 vascular to get rid of and those and the different pixel of the corresponding pixel of blood flow in the vascular of step 70 selection.In step 74, calculate one or more characteristics of image parameters at each image 44.The characteristics of image parameter is the numerical value that the blood flow velocity in the selected vascular is derived, and is represented by color of pixel in the image 44 and/or intensity, and it is preferably included in the single vessel of selecting in the step 72.The characteristics of image parameter can comprise the flow area of each image 44 and the statistical measurement of speed content, as the flow area of speed weighting; Symbol or signless average speed are arranged; 50%, 90% or other speed percentage; And/or have symbol or signless speed to propagate measurement, as standard deviation.In certain embodiments, only calculate one of above-mentioned parameter at each image 44.In other embodiments, calculate two or more parameters at each image 44.In certain embodiments, which parameter the operator can import and will be calculated and be used for analysis image 44.
In step 76, the characteristics of image parameter of analysis image 44 helps diagnosing in the image 44 of heart with identification.The image of being discerned can be preferably corresponding to the predetermined point in patient 14 the cardiac cycle, such as the mobile appearance of peak contraction.For example, the standard deviation of the blood flow in the vascular reaches its maximum usually between the peak contraction flow periods.Therefore, in certain embodiments, the characteristics of image parameter is a standard deviation, and can comprise the image 44 that identification has MSD maximum standard deviation in step 76 analysis image characterization parameter.
Yet, can discern with cardiac cycle in other points as atrium contraction or the relevant image 44 of diastole.Also can have maximum aliasing or disorderly at most image 44 occur with identification by analysis image 44.Can analysis image 44 to determine which anti-a fluid stream occurs or peak value is striden valve stream (trans-valvular flow).
In step 78, select diagnostic image according to the analysis of carrying out in step 76, and, show this diagnostic image in step 80.In some embodiments of the invention, showing that diagnostic image can comprise is provided with pointer 26 with the indication diagnostic image.
With reference to figure 6, in alternative embodiment, user interface 34 can receive the input from the operator, for example from mouse, tracking ball, touch screen etc., this imports the desired locations of instructs cursor 82 in the combination of shown image such as Doppler image 44, tissue density's image 46 or Doppler image 44 and tissue density's image 46.Then as described in about the step 76 in the method 36, the zone 84 that image analysis module 28 can be analyzed around cursor at each image 44 is so that determine which image 44 is shown as diagnostic image.Zone 84 can be around the preset size of cursor 82 or can have the specified size by the operator.
With reference to figure 7, a kind of method 86 of ultrasonic system 10 convenient diagnosis of utilizing can comprise execution as image acquisition in the method 36 and treatment step 38-54, and further is included in the step of step 88 display image 44 and/or its corresponding tissue density image 46.These one or more images 44,46 can be selected or be selected at random by the operator, perhaps can be with a series of scannings of carrying out in step 38 in first, last or the corresponding one or more images 44,46 of other scannings.Shown one or more images 44,46 can be selected by the operator, for example by allowing the operator to roll reading image 44,46 and providing indication to use the input of which image 44,46.As an alternative, user interface 34 can receive the input from the operator, and this input causes picture roll to pass through display 32, and the last image that shows will still be shown to allow utilizing cursor 82 to select interested point.
In step 90, user interface 34 receives operator's input, the cursor position on the one or more images 44,46 of this input indication.In step 92, analyze at each Doppler image 44 and to comprise or contiguous, so that calculate one or more characterization parameters at each image 44 in the zone 84 of the position that step 90 is determined.Zone 84 size can be fixed, determines automatically or is specified by the operator based on image 44.
The characteristics of image parameter can comprise the flow area of the view data in the zone 84 of each image 44 and the statistical measurement of speed content, such as: the flow area of speed weighting; Symbol or signless average speed are arranged; 50%, 90% or other speed percentage; And/or have symbol or signless speed to propagate measurement, such as standard deviation.In certain embodiments, only calculate one of above-mentioned parameter at each image 44.In other embodiments, calculate two or more parameters at each image 44.In certain embodiments, which parameter the operator can import and will be calculated and be used for analysis image 44.As described in the above-mentioned method 36, can select diagnostic image and show this diagnostic image then in step 78 in step 80.
In method 86, can omit following steps: generate the mask (step 56) that flows, use the mask (step 58) that flows, carry out vessel segmentation (step 64), show divided vascular (step 68) and receive the selection (step 70) of operator to divided vascular.As an alternative, some or all in these steps can be included in this method.For example, vascular is cut apart (step 64) and received the operator can be prior to the step of the position of specifying cursor 82 to the selection (step 70) of vascular, thereby cursor 82 can be positioned in the subregion 84 of the vascular that step 70 is selected.
With reference to figure 8, in alternate embodiments, ultrasonic system 10 is coupled receiving the signal from electrocardiogram (ECG) monitoring system 94, this electrocardiogram monitoring system 94 receives signal from the electrode 96 that is coupled to patient 14 to measure the electrical activity of patient's heart.
With reference to figure 9, the system of Fig. 8 can be used for selecting ultrasonoscopy 44 based on measured ECG waveform 98.In one embodiment, measure ECG waveform and carry out a series of ultrasonic scannings simultaneously by labelling 100 indications.Can analysis waveform 98 with in the cardiac cycle of determining the patient such as opportunity 102 of the generation of other normal point in systolic peak, atrial systole, diastole or the cardiac cycle or abnormity point.Select then with and take place 102 synchronously or corresponding image 44 conducts of the scanning almost carried out simultaneously 104 be shown to operator's diagnostic image.
With reference to Figure 10, use the method 108 of the system of Fig. 8 to be included in the step 110 a series of ultrasonic scannings of execution and to measure patient's ECG simultaneously in step 112.Can make relative to each other registration or synchronous of step 110 and 112, thereby can be mapped to the opportunity of ultrasonic scanning along the point of ECG output.For example, can determine time started and the concluding time that ECG measures, and can add a cover timestamp to each ultrasonic scanning according to first clock or with the synchronous second clock of first clock according to first clock.As an alternative, time started and the concluding time that can write down the time started and the concluding time of described a series of ultrasonic scannings or itself and ECG are measured equates.Can use the speed of ultrasonic scanning each ECG to be scanned the point that is mapped on the ECG waveform then.
In step 114, can handle this ultrasonic signal with generation Doppler image 44, and can handle this signal to produce tissue density's (gray scale) image 46 in step 116.Handle this image in step 118.Handle in the step that described image can comprise manner of execution 36 some or all in step 118, comprise threshold application (step 54), generate the mask (step 56) that flows, use the mask (step 58) that flows, carry out vessel segmentation (step 64), show divided vascular (step 68) and receive the selection (step 70) of operator divided vascular.
In step 120, the analysing ECG waveform is with the generation of the incident in the cardiac cycle of position patient.In step 122, by determining on the opportunity of the localized incident of step 120, and identification with this constantly near the corresponding image 44 of scanning of generation, come image corresponding on the recognition time 44 with this incident.In step 123, be presented at the image 44 of step 122 identification.
In certain embodiments, in a series of ultrasonoscopys such as Doppler image 44 or the tissue density's image 46 one or two is shown as video, over time with the pictorial display blood flow.In such an embodiment, the user can provide an input, this input cause break of video to show and after receiving this input with the static state demonstration of display image.Correspondingly, in certain embodiments, ultrasonic system such as system 10 can carry out method 124 as shown in figure 11 alternatively.
In the step 126 of method 124, carry out ultrasonic scanning, preferably carry out a series of continuous sweeps with the speed that is suitable in single cardiac cycle, repeatedly obtaining blood flow.In step 128, generate image, as Doppler image 44 and/or tissue density's (gray scale) image 46 at each scanning.In step 130, be video with pictorial display.This video is loop play or cause video to show that the operator of beginning only shows once when importing receiving continuously.In step 132, receive the user and interrupt.Can press the button or generate this user when interactive the user and interrupt with the graphical user interface elements that is labeled as " static ", " stopping " etc.In step 134, break of video shows.In step 136, select diagnostic image to method shown in Figure 6 according to arbitrary said method such as Fig. 2.In step 138, static state is presented at the selected diagnostic image of step 136.
Further with reference to figure 1, in alternative embodiment, ultrasonic system such as system 10 can carry out method 140 as shown in figure 12.In the step 142 of method 140, carry out ultrasonic scanning, preferably carry out a series of continuous sweeps with the speed that is suitable in single cardiac cycle, repeatedly obtaining blood flow.In step 144, generate image, as Doppler image 44 and/or tissue density's (gray scale) image 46 at each scanning.In step 146, store the image in the frame buffer, as the frame buffer 24 of system 10.In step 148, the video loop (videoloop) of the image in the display image buffer 24.For example, video processor 30 can be automatically the image in the display image buffer 24 in regular turn.
In step 150, receive the user and interrupt, for example press the button in response to the user or with the graphical user interface elements interaction that is labeled as " static ", " stopping " etc.In other embodiments of the invention, the user being taken place when the operator is switched between different observing patterns interrupts.For example, ultrasonic system 10 can have duplex (duplex) display mode, wherein the part of display 32 illustrates Doppler image 44 and/or tissue density's image 46, and another part of display 32 illustrates the chosen part of spectrum Doppler data or each Doppler image 44.In this system, only the display of some is " live (live) " (promptly roll the image in the reading image buffer 24 continuously, or continuous acquisition also showing the spectroscopic data from the Doppler data of being gathered).The user can which be selected partly be live by providing input for example to press " renewal " key.After input was provided, it was live that live part is become by static and other parts.Therefore, under Doppler image 44 and/or tissue density's image 46 have been live situation, the updating key of pressing in this system will stop the video demonstration of these images and provide the user to interrupt, and this user interrupts triggering as mentioned above the automatic selection and the demonstration of diagnostic image.As an alternative, press selection and demonstration that updating key does not trigger diagnostic image in certain embodiments, just stop the video demonstration of image or the collection of spectroscopic data when button is pressed but have only when " static ".
In step 152, break of video shows.In step 154, from frame buffer 24 reading images.In certain embodiments, image analysis module 28 is from frame buffer 24 reading images.In step 156, select diagnostic image according to above-mentioned any method, such as the method for Fig. 2 to Fig. 6 explanation.Image in step 158 can the update image buffer, and be presented at the selected static diagnostic image that step 156 is selected in step 160.
Claims (24)
1. method that is used to present ultrasound data comprises:
Launch a series of ultrasound wave and receive echo to the target area;
Analyze described echo with generate with described target area in the corresponding speed data of blood flow velocity;
Generate a plurality of images of the described speed data of expression;
At each image calculation characteristics of image parameter;
Analyze described characteristics of image parameter to select in the parameter value; And
Show the image corresponding with selected parameter value.
2. the method for claim 1, it also comprises and is provided for receiving from operator's input and the interface of reading described image according to the visible ground roll of described input, and wherein, shows that selected image comprises rolling automatically to read selected image.
3. the method for claim 1, wherein comprise each the standard deviation of at least a portion that calculates in the described image for each image calculation characteristics of image parameter.
4. the method for claim 1, it also comprises the area-of-interest in each image of identification, and wherein, analyzes described image and comprises and analyze described area-of-interest.
5. method as claimed in claim 4, wherein, the identification area-of-interest comprises the zone that identification is corresponding with blood vessel.
6. method as claimed in claim 5, wherein, the identification area-of-interest comprises:
Analyze a plurality of in the described image to determine the blood flow zone;
Generate and described blood flow zone corresponding mask; And
Described mask is applied to described image covers image to generate.
7. method as claimed in claim 6, it also comprises removes the pseudo-shadow of flash of light from described coverage image.
8. method as claimed in claim 6, it also comprises analyzes described coverage image with identification and the independent corresponding vascular part of blood vessel.
9. method as claimed in claim 8, it comprises that also receiving the operator imports to discern the selected vascular part of described vascular part, and wherein, analyze described image and comprise that to determine selected image the selected vascular part of analyzing each image is to determine selected image.
10. method as claimed in claim 9, wherein, the selected vascular of analyzing each image partly comprise the selected vascular part of calculating and analyze each image standard deviation, speed weighting flow area, average speed, intermediate value speed and specify in the percentage point speed at least one to select described image.
Comprise in the described characteristics of image parameter of identification a corresponding characteristics of image parameter of predetermined point in the cardiac cycle with the patient 11. the method for claim 1, wherein analyze described characteristics of image parameter to select in described a plurality of image one.
12. method as claimed in claim 11, wherein, the described predetermined point in patient's the cardiac cycle is in peak contraction and the diastole.
13. method as claimed in claim 11, wherein, the described predetermined point in patient's the cardiac cycle is anti-a fluid stream and strides at least one generation in the valve stream.
14. a method that is used to present ultrasound data comprises:
To target area emission ultrasound wave and receive echo, and the electrocardiogram of measuring the patient simultaneously is ECG;
Analyze described echo to generate the corresponding speed data of blood flow velocity in the described target area with each measurement at each ultrasonic measurement;
Analyze described ECG determining the corresponding ECG data point of generation of the predetermined point in the cardiac cycle with the patient, and the selected image that obtains substantially simultaneously of identification and the described ECG data point of measurement; And
Show selected image.
15. method as claimed in claim 14, wherein, the described predetermined point in patient's the cardiac cycle is at least one in peak contraction and the diastole.
16. a method that is used to present ultrasound data comprises:
Utilize the ultrasonic echo that is received to generate a plurality of images of patient;
Show the video loop that comprises described image;
At each image calculation characteristics of image parameter;
Analyze the characteristics of image parameter calculated to select in described a plurality of image in described a plurality of images each;
In receiving that the user generates, have no progeny and interrupt the demonstration in described video loop; And
In response to the interruption that described user generates, the selected diagnostic image of static demonstration.
17. method as claimed in claim 16 wherein, selects diagnostic image to comprise:
At each image calculation characteristics of image parameter;
Analyze described characteristics of image parameter with the corresponding diagnostic image of predetermined point in identification and patient's the cardiac cycle.
18. a system that is used to present ultrasound data comprises:
Transducer, it can be operated with to the intravital target area emission of patient ultrasound wave, receives the echo from described target area, and the generation output signal corresponding with described echo;
Processor, it is coupled to described transducer, and can operate to receive described output signal and to generate a series of images based on described output signal, described processor also can be operated to analyze the analog value that described a series of images comes computed image characterization parameter, and described processor also can be operated to select in the described image based on the value of described characteristics of image parameter; And
Display, it is coupled to described processor, and can operate to show selected image.
19. system as claimed in claim 18, it also comprises the buffer of storing described a series of images, described buffer has related with it to discern one pointer in the described a series of images, wherein, described display can be operated with the image of demonstration with described pointer association, and wherein, described processor can be operated so that described pointer is related with selected image.
20. system as claimed in claim 18, it also comprises the input equipment that is used to receive from operator's input, and described processor can be operated to receive described input and to make described display roll according to described input and read described image.
21. system as claimed in claim 18, wherein, described characteristics of image parameter comprises each the standard deviation of at least a portion in the described image.
22. system as claimed in claim 18, it also comprises the input equipment that is used to receive from operator's input, and described processor can be operated with the input that receives the area-of-interest in the described image of indication and calculate the analog value of the described characteristics of image parameter in the described area-of-interest of each image.
23. the system as claimed in claim 22, wherein, described processor can be operated to present cursor on the described display and to explain that input from described operator is to change the position of the described cursor on the described display, and wherein, described area-of-interest regional corresponding with near the described image of described cursor.
24. the system as claimed in claim 22, wherein, described processor can be operated analyzing described image and identification and the independent corresponding vascular part of vascular, and wherein, and described processor can be operated described input is interpreted as select described vascular in partly as described area-of-interest.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
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| US95210107P | 2007-07-26 | 2007-07-26 | |
| US60/952,101 | 2007-07-26 | ||
| PCT/IB2008/052903 WO2009013686A2 (en) | 2007-07-26 | 2008-07-18 | Systems and methods for automated image selection in doppler ultrasound imaging systems |
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| CN101790351A true CN101790351A (en) | 2010-07-28 |
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| CN200880100367A Pending CN101790351A (en) | 2007-07-26 | 2008-07-18 | Systems and methods for automated image selection in doppler ultrasound imaging systems |
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| EP (1) | EP2173253A2 (en) |
| JP (1) | JP2010534501A (en) |
| CN (1) | CN101790351A (en) |
| RU (1) | RU2010106996A (en) |
| WO (1) | WO2009013686A2 (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103442649A (en) * | 2010-12-22 | 2013-12-11 | 皇家飞利浦电子股份有限公司 | Automated Doppler velocimetry using a low-cost transducer |
| CN104720807A (en) * | 2015-03-24 | 2015-06-24 | 上海交通大学 | Colon cavity inner capsule system positioning device |
| CN104887271A (en) * | 2014-03-05 | 2015-09-09 | 三星麦迪森株式会社 | Method, apparatus, and system for outputting information of blood flow included in region of interest based on selection information |
| CN105073018A (en) * | 2013-02-28 | 2015-11-18 | 株式会社东芝 | Ultrasound diagnostic device |
| CN112752546A (en) * | 2018-09-26 | 2021-05-04 | 皇家飞利浦有限公司 | Intravascular ultrasound imaging |
| CN112912762A (en) * | 2018-10-23 | 2021-06-04 | 皇家飞利浦有限公司 | Adaptive ultrasound flow imaging |
| CN113116297A (en) * | 2019-12-31 | 2021-07-16 | 上海联影医疗科技股份有限公司 | Medical imaging system and method |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| KR101138613B1 (en) * | 2009-04-30 | 2012-04-26 | 한림대학교 산학협력단 | Ultrasound system and method for processing color doppler mode image |
| KR101029407B1 (en) * | 2009-12-02 | 2011-04-14 | (주)메디슨 | Ultrasound color doppler imaging system and method for filtering clutter signal of the same |
| JP5609690B2 (en) * | 2011-02-08 | 2014-10-22 | コニカミノルタ株式会社 | Ultrasonic diagnostic apparatus and program |
| JP5678706B2 (en) * | 2011-02-09 | 2015-03-04 | コニカミノルタ株式会社 | Ultrasonic diagnostic system, ultrasonic diagnostic apparatus and program |
| BR112014014413B1 (en) * | 2011-12-16 | 2022-09-06 | Koninklijke Philips N.V. | DEVICE CONFIGURED TO EXAMINE PULSATIL FLOW |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6692443B2 (en) * | 2000-09-29 | 2004-02-17 | New Health Sciences, Inc. | Systems and methods for investigating blood flow |
| US6447454B1 (en) * | 2000-12-07 | 2002-09-10 | Koninklijke Philips Electronics N.V. | Acquisition, analysis and display of ultrasonic diagnostic cardiac images |
| JP2005342006A (en) * | 2004-05-31 | 2005-12-15 | Toshiba Corp | Ultrasonic diagnosing device, ultrasonic image processing device, and ultrasonic signal processing program |
-
2008
- 2008-07-18 JP JP2010517522A patent/JP2010534501A/en not_active Withdrawn
- 2008-07-18 RU RU2010106996/14A patent/RU2010106996A/en not_active Application Discontinuation
- 2008-07-18 EP EP08789366A patent/EP2173253A2/en not_active Withdrawn
- 2008-07-18 WO PCT/IB2008/052903 patent/WO2009013686A2/en active Application Filing
- 2008-07-18 CN CN200880100367A patent/CN101790351A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103442649A (en) * | 2010-12-22 | 2013-12-11 | 皇家飞利浦电子股份有限公司 | Automated Doppler velocimetry using a low-cost transducer |
| CN103442649B (en) * | 2010-12-22 | 2015-11-25 | 皇家飞利浦电子股份有限公司 | Use the automatic doppler velocity measurement method of low cost transducer |
| CN105073018A (en) * | 2013-02-28 | 2015-11-18 | 株式会社东芝 | Ultrasound diagnostic device |
| US10624608B2 (en) | 2013-02-28 | 2020-04-21 | Canon Medical Systems Corporation | Ultrasonic diagnostic apparatus |
| CN104887271A (en) * | 2014-03-05 | 2015-09-09 | 三星麦迪森株式会社 | Method, apparatus, and system for outputting information of blood flow included in region of interest based on selection information |
| CN104887271B (en) * | 2014-03-05 | 2020-03-24 | 三星麦迪森株式会社 | Method, device and system for outputting blood flow information included in a region of interest |
| CN104720807A (en) * | 2015-03-24 | 2015-06-24 | 上海交通大学 | Colon cavity inner capsule system positioning device |
| CN112752546A (en) * | 2018-09-26 | 2021-05-04 | 皇家飞利浦有限公司 | Intravascular ultrasound imaging |
| CN112912762A (en) * | 2018-10-23 | 2021-06-04 | 皇家飞利浦有限公司 | Adaptive ultrasound flow imaging |
| CN113116297A (en) * | 2019-12-31 | 2021-07-16 | 上海联影医疗科技股份有限公司 | Medical imaging system and method |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2009013686A2 (en) | 2009-01-29 |
| JP2010534501A (en) | 2010-11-11 |
| RU2010106996A (en) | 2011-09-10 |
| EP2173253A2 (en) | 2010-04-14 |
| WO2009013686A3 (en) | 2009-04-02 |
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