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    • 专利摘要:
    A viscoelastic estimation method comprising determining (30) a plurality of shear wave velocities as a function of lateral distances to an origin of the shear wave in the tissue of the patent and the estimate (36) of a viscoelastic parameter as a function of a shear wave velocity distribution.
    公开号:FR3072870A1
    申请号:FR1871208
    申请日:2018-10-18
    公开日:2019-05-03
    发明作者:Stephen J. Rosenzweig
    申请人:Siemens Medical Solutions USA Inc；
    IPC主号:
    专利说明:

    Title of the invention: VISCOELASTIC ESTIMATION OF A TISSUE FROM A SHEAR SPEED IN
    MEDICAL ULTRASOUND IMAGING PRIOR ART The present invention relates to a characterization of a tissue using ultrasound imaging.
    We can characterize the tissue of a patient by measuring a reaction of the tissue to a stress. The tissue is caused to move by a wave produced from a stress, such as an acoustic force radiation pulse (ARFI). The reaction of the ground tissue as a function of time is followed, which gives an indication of the elasticity. Certain tissues, including the liver, are more appropriately modeled as viscoelastic media rather than elastic media. The primary characteristic of a shear wave propagation in viscoelastic media is that the medium has a complex wave number corresponding to a shear wave speed, which depends on the frequency, and to a wave attenuation of shear.
    The current state of the art for estimating viscoelastic properties of the tissue, using shear wave imaging based on an ARFI, is performed by estimating phase velocities in the Fourier domain. To estimate the phase velocities, the tissue displacement signal is subdivided into small frequency bands and then the shear wave velocity in each of the frequency bands is independently estimated. The amount of signal in each of these bands is small and that is why the estimates are sensitive to noise and have not been found to be practical in vivo.
    SUMMARY [0005] By way of introduction, the preferred embodiments described below include methods, instructions and systems for viscoelastic estimation by ultrasound. A shear wave speed is measured at different locations in a region of interest. For each location, the shear wave speed is estimated without subdivision into frequency bands. A distribution of the shear background velocities in the region in which we are interested is brought into agreement with a modeled distribution corresponding to a particular value of the viscoelastic property.
    According to a first facet, there is provided a method of viscoelastic estimation by an ultrasound imaging system, the method comprising the emission, by [0007] [0008] [0009] [0010] [ A transducer, a push pulse, the push pulse producing a shear wave in the tissue of a patient: monitoring, by the ultrasound imaging system, of tissue displacements at a plurality of locations in a region of interest, the tissue displacements taking place in response to the shear wave; determining a plurality of shear wave velocities as a function of lateral distances from an origin of the shear wave in the patient's tissue, the determination being made from displacements of the tissue; estimating a viscoelastic parameter as a function of a distribution of shear wave velocities and producing an image showing the estimation of the viscoelastic parameter.
    Preferably:
    the monitoring comprises the determination of the displacements of the tissue axially along a scanning line as a function of time, which results in displacement profiles of the tissue as a function of time for each of the locations and in which the determination of the speed of the shear wave includes the determination as a function of a phase shift in the displacement profiles;
    the estimation of the viscoelastic parameter comprises the estimation of a viscosity of the tissue in the region in which we are interested;
    - the estimation of the viscoelastic parameter includes the correlation of the distribution with references;
    the references include velocity fields formed using different values of the viscoelastic parameter in a viscoelastic model:
    - the estimate includes an estimate from a variance of the distribution and
    - 3rd tracking includes tracking from received signal without frequency separation.
    According to a second facet, a method of viscoelastic estimation is provided by an ultrasound imaging system, the method comprising: the measurement, by the ultrasound imaging system, of shear wave velocities at different locations in a patient's tissue; matching the speeds of the shear wave at the different locations with a reference, the reference being marked by a value of a viscoelastic property and the emission of the value of the viscoelastic property assigned to the patient's tissue.
    Preferably:
    the measurement comprises a measurement of the speeds based on the distance of displacement and of timing of the number of shears from a first location to different locations;
    · The alignment includes a correlation of a spatial distribution of the shear wave velocities with the reference and a plurality of other references, the other references being marked by other values of the viscoelastic property, the [0017] [0019] [0021] [0022] [0023] [0024] [0025] [0026] [0027] [0028] [0029] reference having the greatest correlation and the matching includes a setting concordance with a viscoelastic model.
    In a third facet, a viscoelastic ultrasonic estimation system is provided, the system comprising: an ultrasonic scanning device configured to emit a force pulse of acoustic radiation from a transducer in tissue and to scan tissue as the tissue responds to the acoustic radiation force pulse; the image processor being configured to measure tissue reaction rates at a plurality of locations from the scan and to determine a value of a viscoelastic property of the tissue based on a spatial variance of the rates, a display being configured to display an image showing the value of the viscoelastic property of the fabric.
    Preferably:
    the system further comprises a memory configured to store a plurality of spatial distributions of a shear wave speed for different values of the viscoelastic property, the spatial distributions comprising a spatial distribution of the value of the viscoelastic property and the image processor being configured to determine the value based on a correlation of the spatial variance of the velocities with the spatial distributions;
    the image processor is configured to measure the velocities as a shear wave velocity, the reaction of the tissue being a shear wave produced by the force pulse of acoustic radiation and
    - the image processor is configured to measure velocities based on distances to a focal point of the acoustic radiation force pulse at the locations and a timing of the tissue reaction.
    The above discussion should not be considered as limiting the invention. Other facets and advantages of the invention emerge from the preferred embodiments and may be valid independently of the combination.
    BRIEF DESCRIPTION OF THE DRAWINGS The elements and the figures are not necessarily to scale, the emphasis being rather on illustrating the principles of the invention. In addition, in the figures, the same references designate pallies which correspond in the various views.
    Figure 1 is a flow diagram of an embodiment of a viscoelastic estimation method by an ultrasound imaging system;
    Figure 2 shows two examples of displacement profiles;
    Figure 3 shows an example of spatial distribution of a shear wave speed in an elastic medium;
    Figure 4 shows an example of the spatial distribution of a shear wave speed in a viscoelastic medium and [0031] Figure 5 is a block diagram of an embodiment of a viscoelastic estimation system by ultrasound.
    DETAILED DESCRIPTION OF THE CURRENTLY PREFERRED DRAWINGS AND EMBODIMENTS [0033] The viscoelastic properties of a tissue can be quantified using shear wave velocities based on the displacement distance, rather than estimate phase velocities, the quantification relies on a group velocity (that is to say a shear wave speed without Fourier analysis, nor separation by frequency). Traditional line shear wave speed imaging provides group speed measurements where information at various frequencies is mixed, giving a fairly high signal level. Rather than interpreting the shear wave speed as a function of frequency, we use group speed.
    To provide information on the viscoelastic properties of the tissue, the region for monitoring the shear wave is subdivided into multiple sub-regions defined by the initial distance from the source of the shear wave and by the total distance of propagation. We then estimate the speed of the shear wave for each of these sub-regions. We recorrelate the speed set that follows from viscoelastic models to determine one or more viscoelastic properties of the tissue.
    Due to the increase in the signal to noise ratio compared to a determination of the speed as a function of the frequency, the sensitivity and / or the specificity of the estimation of the viscoelastic property is improved. This can allow the implementation of ultrasound scanning devices used with patients, to assist physicians in a non-invasive assessment of fibrosis detection, steatosis quantification, differentiation between cancer benign and malignant breast and / or in compensation for estimation of increased shear wave speed caused by compression of the tissue.
    Figure 1 illustrates a method of viscoelastic estimation by an ultrasound imaging system. Due to attenuation of a shear wave in viscoelastic tissue, the velocities at different distances from the origin of the shear wave have different values. In general, a spatial distribution of the shear wave velocity estimates, in a region of interest to a patient, is matched to a modeled distribution having a known value of the viscoelastic characteristic. This known value is the value used for the patient.
    The operations are carried out with an ultrasound imaging system, such as the system described in Figure 5. A transducer and / or beam formers are used to acquire data and an image processor estimates displacements from data and shear wave velocities from displacements. The image processor estimates the viscoelastic parameter. The ultrasound imaging system outputs the value of the viscoelastic parameter. Other devices, such as a computer or detector, can be used to perform any of these operations.
    Additional different operations or in smaller numbers may be provided in the method of Figure L This is how, for example, we can not provide the operation 38. As another example, we uses operations other than operations 32 and 34 to measure the speed of the shear wave.
    The operations are carried out in the order described or shown (for example, from top to bottom or numerically). Other successions can be provided, such as by repeating the operations for another region in which we are interested or by repeating operation 30 to extend the region for which the viscoelastic parameter is estimated in operation 36.
    In operation 30, the ultrasonic system measures shear background velocities at different locations in the tissue of a patient. Velocities are measured based on a displacement distance and a timing of a shear wave propagating from an origin to different locations in a region of interest. Shear wave speed imaging is carried out having values distinct from the shear background speed measured at different locations, [0041] The shear background speeds are based on displacements of the tissue.
    The ultrasonic system acquires tissue displacements as a function of time (for example, displacement profiles), but one can use tissue displacement as a function of location at different times. An ARFI (for example, a push pulse or an acoustic pulse pulse excitation) or other source of stress produces a shear wave in the tissue. As the shear ground propagates through the tissue, the tissue moves. By scanning the tissue with ultrasound, we acquire the data to calculate the displacements as a function of time. By using a correlation or another similar measure, the displacements represented by the scans acquired at different times are determined, [0042] Operations 32 and 34 provide an example of the acquisition of displacements of the tissue. Additional, different or smaller operations can be provided to acquire movements of the tissue.
    In operation 32, a beam former produces electrical signals for a focused emission of ultrasound and a transducer transforms the electrical signals into acoustic signals for the emission of the push pulse from of the transducer. We use an AEFI. An acoustic excitation is emitted in a patient. Acoustic excitation acts as a pulse excitation to cause displacement. For example, a 400 cycle emission waveform having peak or amplitude levels similar to or less than B mode emissions is emitted for tissue imaging in the form of an acoustic beam. . In one embodiment, the emission is a sequence causing a shear wave applied to the visual field. Any ARFI or shear wave imaging sequence can be used. Other sources of stress can be used, such as a beater (source of mechanical shock or vibration).
    The emission is configured by power, amplitude, timing or other characteristics to cause stress on the tissue sufficient to move the tissue to a focal location. Thus, for example, a beam emission focal point is fixed relative to a visual field or a region of interest (ROI) to cause the displacement of shear wave produced in the visual field or ROI.
    The excitation by pulse produces a shear wave at a spatial location. When the excitation is sufficiently intense, the shear wave is produced. The shear wave propagates transversely in the tissue more slowly than longitudinal wave propagates in the direction of emission of acoustic wave, so that one can distinguish the type of wave by timing and / or direction . The displacement of the tissue due to the shear wave is greater at locations fairly close to focal replacement where ground is produced. As the wave propagates, the wave amplitude decreases.
    In operation 34, we follow the movements of the fabric. The ultrasonic system, such as a system image processor, tracks movements in response to the push pulse. For each of a plurality of locations, the displacement caused by shear wave which propagates is followed. The follow-up is axial (i.e. one-dimensional follow-up displacements along a scan line ), but it can be two-dimensional or three-dimensional tracking.
    The monitoring is carried out as a function of time. The tissue displacements for each location are found by any number of time samplings over a period of time over which ground is expected to spread to the location. By following, at multiple locations, tissue displacement profiles over time are obtained for the different locations.
    The monitoring duration may include moments before the emission of
    0049]
    0050] the push pulse and / or before the shear wave reaches each given location. Likewise, the duration of follow-up may include instants after the tissue relaxes or after the entire shear wave has propagated in front of each location. As the shear wave travels past the locations, the fabric is swept.
    A transducer and a beam former acquires echo data at different times to determine the displacement of the tissue. Displacement is detected by ultrasonic scanning. We obtain an ultrasound data. At least part of the ultrasound data is sensitive to the displacement caused by shear wave or pressure. We scan by ultrasound a region, such as a region in which we are interested, a complete visual field or a sub-region in which we are interested. The region is monitored to detect the background. The echo data represents the tissue when it is subjected to different values of pressure at different times. The region can have any dimension, such as 55 mm lateral and 10 mm axial. For example, B-mode scans are performed to detect movement of the tissue. Any beamformer sampling or resolution can be used, such as when measuring on a linear array with sampling locations every 0.25 mm. You can use a doppler, color flow or ultrasound mode to detect displacement.
    For a given period of time, ultrasound is emitted towards the tissue or the region in which one is interested. Any displacement imagery known now or to be developed later can be used. For example, pulses of duration from 1 to 5 cycles having an intensity smaller than 720 mW / cm 2 are used . Pulses having other intensities can be used. Scanning is performed for any number of scanning lines. For example, eight or sixteen reception beams are formed in two dimensions in response to each transmission. After or while applying a constraint, B-mode transmissions are made repeatedly along a single transmit scan line and receptions along neighboring receive scan lines. In other embodiments, only one beam or another number of reception beams is formed in response to each transmission. Additional transmit scan lines and a corresponding receive line or lines can be used. Any number of repetitions can be used, such as about 120 times or over 15 ms.
    The intensity in mode B can vary due to the displacement of the tissue as a function of time. For the monitored scan lines, there is provided a data sequence representing a profile as a function of the time of movement of the tissue from the strain. By performing transmission and reception several times, we receive data representing the region at different times. By sweeping
    0051] repeatedly by ultrasound, the position of the tissue is determined at different times.
    The displacement for each spatial location of the multiplicity of locations is detected. We detect, for example, speed, variance, offset in intensity configuration (for example by task tracking), or other information in the data received as being the displacement between two instants. Progress or movement sequences can be detected for each of the locations.
    In one embodiment using data in mode B, the data from different scans is correlated axially as a function of time. For each depth or spatial sampling position, a correlation is performed on a plurality of depths or spatial sampling positions (for example, core of 64 depths whose depth in the center is the point where the profile is calculated). For example, a current dataset is correlated several times with a reference dataset. We identify, in the current set, the location of a subset of data centered at a given location in the reference set. Different relative translations are carried out between the two data sets.
    The reference is a first or another set of data or data from another scan. We set the reference from before the constraint, but this can be done after the constraint. The same reference is used for all the displacement detection or the reference datum changes in a progressing or moving window.
    The level of similarity or correlation of the data is calculated at each of the different offset positions. The translation with the highest correlation represents the displacement or the offset for the moment associated with the current data compared to the reference.
    One can use any correlation known now or which will be found later, such as a cross correlation, a configuration adaptation or a minimum sum of differences in absolute values. We correlate the fabric structure and / or a task. Using doppler detection, a parasitic signal filter transmits information associated with the moving tissue. We deduce the speed of the fabric of multiple echoes. Speed is used to determine how close or far the transducer is. Alternatively, the relationship or difference between speeds at different locations may indicate stress or displacement.
    Figure 2 shows two displacement profiles by way of example as a function of time for two neighboring locations. The displacement of the tissue begins from a stable state before the arrival of shear ground, then the displacement increases to a maximum, and after which the displacement decreases to the stable state. Other displacement profiles are possible. Any number of sampling positions for displacement can be measured, such as taking a measurement every quarter of a millimeter in the 105 mm region of interest. The displacement profile is determined at each sampling point or data from two or more sampling points is combined to give a displacement profile for a sub-region. The displacement is measured for each sampling point or for each sampling instant of age.
    We use the displacements as a function of time and / or space for the calculation. In one embodiment, the displacements are combined for different depths, leaving remote displacements in azimuth and / or in elevation. For example, averages are made as a function of depth for displacements for a given scan line or for a lateral location. As an alternative to averaging, a maximum or other selection criterion is used to determine the displacement for a given lateral location. Displacements can be used for only one depth. Displacements can be used independently for different depths.
    The following region is subdivided into multiple sub-regions (for example, mm 1 mm). Each sub-region is defined by the initial distance to the shear wave source (for example, focal position) and from the total distance of propagation from the focal position to the sub-region. Each sub-region includes only one or more sampling positions.
    We use all the received signal for monitoring. Rather than separating reception signals for separate tracking by frequency and / or estimating the speed of the shear wave from displacement profiles separated by frequency, tracking uses the group speed shear. The received signals and / or displacements are not separated by frequency, providing a more robust estimate of the shear background speed.
    Returning to operation 30, the image processor determines the shear background velocities in the tissue. A separate shear wave velocity is estimated for each location, such as each subregion or as a function of a lateral distance to a shear wave origin. When the sub-region includes multiple sampling points, the shear wave arrival time is determined at each sampling point individually. A linear regression is carried out between the arrival time and the lateral position and the slope of the linear regression is estimated as being the shear background speed. The arrival time is determined from the trips. The shear background velocity is calculated at multiple sampling points in the sub-region. Other combination functions can be used, such as calculating a speed of the shear wave for each sampling point, then combining the speeds of the shear waves of the same subregion (for example, selecting the mean , median, maximum or minimum). The speed of the shear wave obtained as a function of a location or a sub-region provides a distribution of the speed of the shear wave in the tissue. The distribution varies due to the viscoelastic characteristic of the tissue.
    The displacements for a given sampling point can be used for more than an estimate of the shear background speed. For example, the same ROI is subdivided into different sub-regions, such as 1 mm 1 mm sub-regions and 2 mm by 2 mm sub-regions. Different start and end sampling points define a given sub-region. The shear rate in each of the sub-regions is determined individually. As a variant, the speed between the start and end locations of the sub-region is calculated, such as by finding a phase shift in the displacement profiles relating to the distance from the start to the end of the sub-region.
    The shear background speed is based on the movements as a function of time and / or replacement. The value of the speed of the shear wave is estimated for each sub-region or location from the profile or displacement profiles. To estimate the value in one embodiment, the maximum peak or amplitude of the value is determined. displacement profile. Based on a distance from the location (for example, center of the sub-region, a start point or an end point) to the source of the constraint (for example, focal position of an ARFI or origin of the shear wave), a time difference between the application of the stress and the peak amplitude indicates a speed. In a variant, the displacement profiles of different locations are correlated to find a delay or phase difference between the locations. This phase shift can be used to calculate the speed between the locations associated with the correlated profiles. In other embodiments, an analytical datum is calculated from the displacement profile and the phase shift is used to determine the elasticity. A phase difference as a function of travel time of various sub-regions or a zero crossing of the phase for a given sub-region indicates a speed. In yet another embodiment, the displacement as a function of a location at a given time indicates a location of maximum displacement. The distance from the shear wave origin to this location and time gives the speed. This is repeated for other times to find the maximum speed at each location.
    A speed of the shear wave is provided for each sub-region.
    With sub-regions of different dimensions, it is provided with different speeds
    It shear Tonde. We use, for example, sub-regions having a first dimension to determine shear wave velocities for the sub-regions and sub-regions of another dimension use the same data to determine other velocities of the shear wave for these sub-regions. Any number of subregion dimensions can be used. Figures 3 and 4 show two examples of simulated shear rates from the same datum determined with various azimuthal locations of start and end for each subregion. Different sub-regions are provided for a different determination of the shear speed from the displacement distance at the TARFI focal position or between edges of the sub-regions. Alternatively, the shear Probe velocities for a set of sub-regions give the distribution (for example, a velocity field in a 2D or 3D region for each location having the same sample size (for example, 1 mm 1 mm)).
    In operation 36 of Figure 1, the image processor estimates a viscoelastic parameter. We can estimate any viscoelastic parameter, such as viscosity, Young's modulus or a complex modulus). Any parameterization of the viscoelastic behavior of the tissue can be used. Other characteristics of the fabric can be estimated in the same way, such as elasticity. The other characteristics are estimated independently or simultaneously or at the same time as the viscoelastic parameter.
    The estimate is valid for the region in which we are interested. The distribution of the shear wave velocities is used by replacing the sub-regions to estimate a value of the viscoelastic parameter for the region or for the ROI. The variance of the shear velocities or velocities in the distribution indicates the value of the viscoelastic characteristic of the tissue. If the tissue is purely elastic, all the estimated speeds in the sub-region are identical. Figure 3 shows the shear velocities as similar, indicating a mostly elastic tissue. As the viscosity of the tissue increases, the sub-regions will have estimates of the shear rate which will vary widely. Fig. 4 shows a variance in shear velocity, indicating that the tissue is viscoelastic. In viscoelastic media, due to the attenuation of the transverse wave (for example, shear), the estimated speed of the shear wave depends on the starting azimuthal location for the estimate, as well as the propagation distance at from the origin of the shear tube or in the sub-region. By estimating the speed of the transverse shear wave by multiple azimuthal locations of beginning and end, one can deduce information on the viscoelastic properties of the mediums, one estimates the value of the viscoelastic parameter in use the distribution.
    The variance of the distribution can be measured as a statistical value, such as a standard deviation or some other indication of variability. This calculation can be related to the value of the viscoelastic parameter by a look-up table, by an empirically determined function or by a classifier with automatic learning.
    In another embodiment, the distribution is matched with a reference. A viscoelastic model is used to create distributions for the tissue of interest (for example, the liver). Any viscoelastic model can be used, such as the Voigt or Maxwell models of elasticity and viscosity. Other models include a standard full linear model with the viscoelastic parameter between the stiffness parameters at frequency 0 and at infinite frequency. The model simulates the speeds of the shear wave given different values of the viscoelastic parameter. Values of the other parameters of the model are constant or can also vary, for example, being based on the tissue in which we are interested. The simulation provides distributions or reference fields of shear background velocities for a correspondence or respective values of the viscoelastic parameter. As a variant, the reference distributions are created empirically, such as by measurements made with phantoms having known values different from the viscoelastic parameter or by comparisons of measured speeds of shear background with tissue having known values of the viscoelastic parameter ( for example, a database based on resected or biopsied tissue). By taking viscoelastic ghost images that correspond to different viscoelastic values, we create references of different values of the viscoelastic property. Other references and corresponding values of viscoelastic parameters can be created by interpolation.
    The references marked with different values of the viscoelastic parameter are used for matching with the spatial distribution of velocities measured for the patient. Any mapping can be used, such as a correlation. A level of correlation can be used between the distribution measured for the patient and each or some of the references. Any configuration or search criteria can be used, such as selecting a next reference for verification based on a direction and / or an amount of difference between a previous correlation or between a previous correlation set. Any correlation measure can be used, such as a cross-correlation or a minimum sum of absolute value differences.
    The set of speeds is recorrelated to viscoelastic models, whether empirically or simulated by calculation, to determine the viscoelastic property or properties of the fabric. If the fabric is purely elastic, all the estimated velocities in the sub-regions are the same. As the viscosity of the fabric increases, the sub-regions will have more varying estimates of the speed of the shear wave. We choose the reference with the greatest correspondence (for example, the greatest correlation) to the velocity distribution for the patient. The patient is assigned the value mark or values of the viscoelastic parameter and any other parameter (for example, elasticity) from the match reference. The value marked from the reference is the estimated value of the viscoelastic parameter for the patient.
    In operation 38, the image processor emits the value of the viscoelastic property assigned to the patient's tissue. The transmission is made to a display, a memory or a network. Thus, for example, the emission is an output of the ultrasound imaging system or within the ultrasound imaging system.
    In one embodiment, an image is output. The ROI value is provided on a shear wave speed image, a B-mode image, or another ultrasound image. The shear wave speed image, for example, has a color modulation based on a shear speed depending on the location in the ROI. The shear speed image is superimposed on a B-mode image covering a field of view larger than the ROI or the shear speed image. The value of the viscoelastic parameter is provided in the form of a text annotation or in the vicinity of the shear background speed and / or in the form of an image in mode B, As a variant, the brightness, the hue or the color configuration is based on the value of the viscoelastic parameter. In other embodiments, other types of elasticity imaging, no shear or elasticity image, and / or different types of ultrasound imaging are provided.
    In another embodiment, the value of the viscoelastic parameter is output in the form of a text, a number or coded in a graph. The user chooses, for example, a location on an image in mode B. In reaction, the ultrasonic system calculates the value of the viscoelastic parameter in which one is interested for an ROI around this chosen location. A digital, textual and / or graphic representation of the calculated value is superimposed on the image in mode B, displayed independently, or communicated in another way to the user (for example, adding to a report).
    FIG. 5 represents an embodiment of a system 10 for viscoelastic estimation by ultrasound. The system 10 implements the method of Figure 1 or other methods. The system 10 comprises a transmitter beam former 12, a transducer 14, a receiver beam former 16, an image processor 18, a display 20 and a memory 22. Provision may be made for different or fewer additional items. One can provide, for example, a user input for a user interaction with the system, such as to choose a location where a measurement should be made or to designate a location of an ROI.
    The system 10 is a medical diagnostic ultrasound imaging system or an ultrasonic analyzer. The system 10 is configured to emit an acoustic radiation force pulse from the transducer 14 into the tissue and to sweep the tissue at a plurality of locations as the tissue reacts to a shear wave created by the radiation force pulse acoustic. The reaction to the shear wave is monitored by the ultrasonic analyzer. In alternative embodiments, the system 10 includes a front end analyzer and a rear end processor, such as a personal computer, a workstation, a PACS station, or other arrangements in the same location or distributed across a network for real-time or post-acquisition imaging, The scanning elements (for example, emission beam former 12, transducer 14 and reception emission former 16) are part of a different device from memory 22 of the image processor 18 and / or of the display 20. The rear end can acquire data from a memory or from a transfer in a network. The front end provides data to memory or the network.
    The emission beam former 12 is an ultrasonic transmitter, a memory, an impeller, an analog circuit, a digital circuit or combinations thereof. The emission sealer 12 can operate to produce waveforms for a plurality of channels with different or relative amplitudes, delays and / or phases. After transmission of the acoustic waves, from the transducer 14 in response to the electric waveforms produced, a beam or several beams is formed. A sequence of transmit beams is produced to scan a region. Sectoral, Vector (trademark), linear or other scan formats can be used. In alternative embodiments, the emission beam former 12 produces a plane wave or a diverging wave for faster scanning. We scan the same region several times. For shear imaging, a scanning sequence along the same lines is used.
    The same transmitter beam former 12 can produce pulse excitations (ARH or push pulse) and acoustic beams for monitoring. Electric waveforms are produced for an ARFI, and then electric waveforms are produced for monitoring. In the alternative embodiments, a different emission beam former is provided for producing the ARFI and for tracking. The emission beam former 12 can cause the transducer 14 to produce acoustic energy. Using delay profiles in the channels, the emission beam former 12 guides the thrust pulse to the desired focal position or to the desired focal positions and scans the ROI to follow movements.
    The transducer 14 is a network for producing acoustic energy from electric waveforms. For a network, relative delays focus the acoustic energy. A given emission event corresponds to a transmission of acoustic energy by different elements at substantially the same instant, the delays being given. The emission event can provide a pulse of ultrasound energy to move the tissue. The pulse is a pulse excitation or a follow-up pulse. Pulse excitation includes waveforms having multiple cycles (for example, 500 cycles), but this occurs in a relatively short time to cause the tissue to move over a longer time due to the propagation of the wave. shear. A tracking pulse can be a B mode transmission, such as using 1 to 5 cycles. Tracking pulses are used to scan an area of a patient undergoing stress change.
    The transducer 14 is a network with 1, 1.25, 1.5, 1.75 or 2 dimensions of piezoelectric elements or with capacitive membrane. We can use a sweeping network. The transducer 14 includes a plurality of transduction elements between acoustic and electrical energies. Signals received are produced in response to ultrasonic (echo) energy arriving at the transducer elements 14. The elements connect to channels of the transmit and receive beam formers 12, 16.
    The receiving beam former 16 comprises a plurality of channels having amplifiers, delays and / or phase rotators, and one or more summers. Each channel connects to one or more elements of the transducer. The receiving beam former 16 is configured in hardware or software to apply relative delays, phases and / or apodization to form one or more reception beams in response to each tracking image or transmission. This receiving operation may not occur for echoes from the pulse excitation used to move tissue. The receiving beam former 16 outputs data representing locations in space using the receiving signals. Relative delays and / or phase shifts and summations of signals from different elements provide beamforming. In alternative embodiments, the receive beam former 16 is a processor for producing samples using Fourier transforms or the like.
    In coordination with the transmit beam former 12, the receive beam former 16 produces data representing an ROI at different times. After the ARFI, the receiving beam former 16 produces beams [0081] [0082] [0083]
    Γ0084] representing locations along a line or a plurality of lines at different times. By scanning the ROI with ultrasound, data is produced (for example, samples formed in a beam). By repeating the scan, ultrasound data representing the region is acquired at different times after the pulse excitation.
    The receiving beam former 16 outputs a summed beam data item representing different sampling positions. We can provide a dynamic focus. The data can be provided for different purposes. Different scans are performed for a data in B mode or a tissue data than for ultrasonic shear imaging. As a variant, the data is also used in mode B to determine a value of the viscoelastic parameter. As another example, data for shear imaging is acquired by a series of shared scans and a B or Doppler scan is performed separately or using part of the same data. The ultrasound or echo data comes from any processing stage, being for example a data formed by a beam before detection or a data after detection.
    The memory 22 is a non-transient storage medium which can be deciphered by computer. The memory 22 is, for example, a cache, a buffer, an oar, a removable medium, a hard disk or any other non-transient storage medium decipherable by computer. Computer-readable storage media include various types of volatile and nonvolatile storage media.
    The memory 22 is configured by the image processor 18, a control unit or a memory processor for storing and supplying data. The memory 22 stores any data used to estimate the value of the viscoelastic parameter. We store, for example, the ultrasound data (data formed in a beam and / or detected data), displacements, the displacement profile, speeds and / or model information. The memory 22 is configured to store a plurality of spatial distributions of shear wave velocity for different values of the viscoelastic property. Distributions can be formed as part of a lookup table of a self-learning matrix or classifier or as separate fields to use as a reference. Each distribution is marked by the respective value of the viscoelastic parameter. The memory 22 stores the measured speed distribution for the patient and / or correlation values of the measured distribution to multiple reference distributions.
    The image processor 18 operates according to instructions stored in memory 22 or another memory to estimate a viscoelastic characteristic of the tissue of a patient. The instructions for implementing the processes, processes and / or techniques mentioned in this memo are provided on the computer-readable storage media or on the memories. The functions, operations or tasks illustrated in the figures or described in this memo are performed in response to a set or several sets of instructions stored in or on computer-decipherable storage media. Functions, operations or tasks are independent of the particular type and instruction set of the processor storage medium or processing strategy and can be performed in software, hardware, integrated circuits, firmware, firmware, and the like , operating alone or in combinations. Likewise, treatment strategies may include multiprocessing, multitasking, parallel processing and the like. In one embodiment, the instructions are stored on a removable support device for reading by local or remote systems. In other embodiments, the instructions are stored at a remote location for transfer via a computer network or over telephone lines. In still other embodiments, instructions are stored in a given CPU, GPU or system computer.
    The image processor 18 comprises a mode B detector, a doppler detector, a pulsed wave doppler detector, a correlation processor and / or a Fourier transform processor for detecting and processing information for display from beamformed ultrasound samples.
    In one embodiment, the image processor 18 comprises a detector or several detectors and a separate processor. The separate processor is a control processor, a general processor, a digital signal processor, an application-specific integrated circuit, a user-programmable pre-broadcast circuit, a network, a server, a group of processors, a processing unit. graphics, a digital signal processor, an analog circuit, a digital circuit, combinations thereof or any other device known now or which will be found later to estimate a viscoelastic parameter. The separate processor is configured, for example, in hardware, software and / or in firmware to perform any combination of one or more of the operations 30 to 38 shown in FIG. 1.
    The image processor 18 is configured to measure reaction rates of the tissue at a plurality of locations from the scan. Thus, for example, the data formed in a beam or the detected data are axially correlated to a reference to determine an amount of displacement of the tissue at a given instant. Velocities are deducted from the displacements.
    The locations are sampling positions of the formatter 16 of [0091] [0092] reception beam or ROI sub-regions. Any sub-region can include one or more sampling positions. When more than one sampling position is included, displacements from multiple positions are used to estimate the shear background speed for the sub-region (for example, linear regression estimation of the arrival time is performed given by displacements). As a variant, the speeds determined for the different sampling positions of a sub-region are averaged. Other combinations or functions can be used, such as a median, a maximum or a minimum.
    The image processor 18 is configured to measure the speeds for different sub-regions. For example, different start and end positions of the sub-regions are used, which gives velocities for different arrangements of overlapping sub-regions (see Figures 3 and 4). As a variant, a single subdivision of the ROI is used in sub-regions according to a regular or irregular pattern.
    The speeds are measured as the shear background speed. The shear wave is produced in response to displacement varying as a function of time caused by the force of acoustic radiation at different locations. The image processor 18 calculates the speed for each sub-region from the distance from the origin of the shear wave to the center or another location of the sub-region and the detection time of the shear wave to the sub-region on the basis of the displacements compared to the time of creation of the shear wave. Speed can be used in the sub-region (i.e. from start to end of the sub-region) in other embodiments. We create a speed distribution for the region we are interested in.
    The image processor 18 is configured to determine a value of a viscoelastic property of the tissue based on a spatial variance of the speeds. We use a measure of the variance itself and / or a correlation of the spatial variance of the velocities with models or differences produced from an empirical phantom or a simulation model (mathematics). The spatial variance corresponds to a value of the viscoelastic property. Models or references correspond, for example, to respective values of the viscoelastic property. The value from the best match or a value interpolated from the values of the two best models or match references from the spatial variant gives the value of the viscoelastic property of the patient's tissue.
    The image processor 18 is configured to produce one image or more images. The image includes a color-modulated region and / or alphanumeric text representing or based on the viscoelastic property, such as an annotation on an image of a 2D or 3D representation of the fabric. For example, an image of the speed of the shear wave is produced. Other elastography images can be produced, such as a shear modulus, a deformation or a deformation speed image. The image is presented in the form of an overlay or a region of interest in a B-mode image. The viscoelastic property annotation is on, above or near the spatial representation of the tissue. As a variant or in addition, the value of the viscoelastic property is displayed in the form of text numerically and / or in a graphic separate from any spatial representation of the tissue, such as in a report.
    The display 20 is a CRT, an LCD, a projector, a plasma or another display for displaying a value, two-dimensional images or three-dimensional representations. Two-dimensional images represent a spatial distribution in an area such as a plane. Three-dimensional representations are rendered from data representing a spatial distribution in a volume. The display 20 is configured by the image processor 18 or by another device by inputting the signals to be displayed in the form of an image. Display 20 displays an image representing the value calculated for an ROI. The image represents the value of the viscoelastic property of the fabric.
    Although the invention has been described above with reference to various embodiments, it goes without saying that many changes and modifications can be made without departing from the scope of the invention. It is therefore understood that the foregoing detailed description should be considered as an illustration rather than a limitation.
    权利要求:
    Claims (1)
    [1" id="c-fr-0001]
    A method of viscoelastic estimation by an ultrasound imaging system, the method comprising:
    the emission (32), by a transducer (14), of a push pulse, the push pulse producing (38) a shear wave in the tissue of a patient;
    tracking (34), by the ultrasound imaging system, of movements of the tissue at a plurality of locations in a region of interest, the displacements of the tissue taking place in reaction to the shear wave ;
    the determination (30) of a plurality of shear wave speeds as a function of lateral distances to an origin of shear wave in the patient's tissue, the determination (30) being carried out from the displacements of the tissue;
    the estimation (36) of a viscoelastic parameter as a function of a distribution of shear wave velocities and the production (38) of an image showing the estimation of the viscoelastic parameter.
    The method of claim L wherein the tracking (34) comprises determining (30) the displacements of the tissue axially along a scan line as a function of time, which results in patterns of displacement of the tissue as a function of the time for each of the locations and in which the determination (30) of the shear background speed comprises the determination (30) as a function of a phase shift in the displacement profiles,
    Method according to claim 1 or 2, in which the estimation (36) of the viscoelastic parameter comprises the estimation (36) of a viscosity of the tissue in the region of interest,
    Method according to one of the preceding claims, in which the estimation (36) of the viscoelastic parameter comprises correlating the distribution to references.
    The method of claim 4, wherein the references include velocity fields formed using different values of the viscoelastic parameter in a viscoelastic model. Method according to one of the preceding claims, in which the estimate (36) comprises an estimate (36) from a variance of the distribution.
    [Claim 7] [Claim 8]
    Claim 9] [Re vendication 10] [Claim 11]
    Claim 12] [Claim 13]
    The method of claim 1, wherein the tracking (34) includes tracking (34) from a received signal without frequency separation. A method of viscoelastic estimation by an ultrasound imaging system, the method comprising:
    measuring (30), by the ultrasound imaging system, shear wave velocities at different locations in the tissue of a patient; the mapping (36) of the shear wave velocities at the different locations with a reference, the reference being marked by a value of a viscoelastic property and the emission (32) of the value of the affected viscoelastic property to the patient's tissue.
    The method of claim 8, wherein the measure (30) comprises a measure (30) of the velocities based on the distance of travel and timing of the number of shears from a first location to different locations.
    The method of claim 8 or 9, wherein the matching (36) includes correlating a spatial distribution of shear wave velocities with the reference and a plurality of other references, the other references being marked with d other values of the viscoelastic property, the reference having the greatest correlation.
    Method according to one of claims 8 or 9, characterized in that the matching (36) comprises a matching (36) with a viscoelastic model.
    A viscoelastic ultrasonic estimation system, the system comprising:
    an ultrasonic scanner (10) configured to emit an acoustic radiation force pulse from a transducer (14) into tissue and to scan tissue as the tissue responds to the force force pulse acoustic radiation;
    an image processor (18) configured to measure reaction rates of the tissue at a plurality of locations from the scan and to determine a value of a viscoelastic property of the tissue based on a spatial variance of the speeds and a display (20) configured to display an image showing the value of the viscoelastic property of the fabric.
    The system of claim 12, further comprising a memory (22) configured to store a plurality of dis22 [Claim 14] [Claim 15] spatial allocation of a shear wave velocity for values different from the viscoelastic property, the spatial distributions comprising a spatial distribution of the value of the viscoelastic property and the image processor (18) being configured to determine the value based on a correlation of the spatial variance of the velocities with the spatial distributions.
    The system of claim 12 or 13, wherein the image processor (18) is configured to measure speeds as a shear wave speed, the reaction of the tissue being a shear wave produced by the acoustic radiation force pulse. The system of claim 12 or 13, wherein the image processor (18) is configured to measure speeds based on distances to a focal point of the acoustic radiation force pulse at the locations and a timing of the tissue reaction.
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    法律状态:
    2019-10-17| PLFP| Fee payment|Year of fee payment: 2 |
    2019-11-22| PLSC| Publication of the preliminary search report|Effective date: 20191122 |
    2020-10-16| PLFP| Fee payment|Year of fee payment: 3 |
    2021-10-20| PLFP| Fee payment|Year of fee payment: 4 |
    优先权:
    申请号 | 申请日 | 专利标题
    US15/798,932|US11154277B2|2017-10-31|2017-10-31|Tissue viscoelastic estimation from shear velocity in ultrasound medical imaging|
    US15798932|2017-10-31|
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