Methods and systems for measuring properties with ultrasound
10324063 ยท 2019-06-18
Assignee
Inventors
Cpc classification
G01N2291/044
PHYSICS
G01N29/07
PHYSICS
G01N29/024
PHYSICS
International classification
G01N29/024
PHYSICS
G01N29/44
PHYSICS
Abstract
A method of measuring a property of a medium using ultrasound, comprising: transmitting one or more ultrasound pulses into the medium from one or more transmitters and receiving at least a first echo signal and a second echo signal from within the medium at one or more receivers, wherein the first and second echo signals correspond to first and second pulse transmission paths within the medium from the one or more sources to the one or more receivers, the second path being different from the first path; and using the characteristics of the first and second echo signals together with an estimate of the property of the medium and a geometrical relationship between the first and second transmission paths to calculate a revised estimate of said property of the medium. By using two different beam paths within the medium, the first and second echoes will have had slightly different interactions with the medium. For example the different paths may well have different lengths thus giving different amounts of interaction such as different amplitude or phase effects on the different pulses. By comparing the similarities and differences between the pulses, certain properties of the medium can be discerned. Many different properties can be investigated using these principles. In particular, the speed of sound in a medium can be measured and the direction and magnitude of a flow or particle movement within the medium can be measured. An iterative process may be used.
Claims
1. A method of measuring a property of a medium using ultrasound, comprising: transmitting one or more ultrasound pulses into the medium from one or more transmitters and receiving at least a first echo signal and a second echo signal from within the medium at one or more receivers, wherein the first and second echo signals correspond to first and second pulse transmission paths within the medium from the one or more sources to the one or more receivers, the second path being different from the first path; and using the characteristics of the first and second echo signals together with an estimate of the property of the medium and a geometrical relationship between the first and second transmission paths to calculate a revised estimate of said property of the medium.
2. A method as claimed in claim 1, wherein the calculating step comprises: estimating the characteristics of the received second echo signal based on the characteristics of the received first echo signal, the estimate of the property of the medium and the geometrical relationship; and calculating the revised estimate based on the estimated characteristics of the received second echo signal and the measured characteristics of the received second echo signal.
3. A method as claimed in claim 2, wherein the characteristics of the first and second echo signals comprises the travel times of the first and second pulses respectively, and wherein the property of the medium comprises one of the following: speed of sound in the medium, attenuation in the medium.
4. A method as claimed in claim 1, wherein the calculating step comprises: estimating a feature of the second path based on the estimate of the property of the medium, the characteristics of the received first echo signal and the geometrical relationship; estimating the same feature of the second path based on the estimate of the property of the medium and the characteristics of the received second echo signal; and calculating the revised estimate based on a comparison of the two estimates of the feature of the second path.
5. A method as claimed in claim 4, wherein the feature of the second path is the path length of the second path and wherein the property of the medium comprises one of the following: speed of sound in the medium, attenuation in the medium.
6. A method as claimed in claim 1, wherein the characteristics of the first and second echo signals used in the calculations include one or more of: travel time, received amplitude, received phase, frequency spectrum, or any characteristic derived from the above mentioned characteristics.
7. A method as claimed in claim 1, wherein the medium properties calculated from the echo signal characteristics include one or more of: speed of sound in the medium, attenuation in the medium, flow or particle movement direction within the medium, displacement within the medium, strain within the medium, velocities within the medium, and angle or curvature of interfaces or bodies within the medium, or any properties derived from any of the previously stated properties.
8. A method as claimed in claim 1, wherein the speed of sound in the medium is calculated from the difference in travel times along each of the first and second paths and the distances between source and receiver for each of the first and second paths.
9. A method as claimed in claim 1, wherein the speed of sound in the medium is calculated from the difference in travel times along each of the first and second paths and the beam angles for each of the first and second paths.
10. A method as claimed in claim 1, wherein the attenuation in the medium is calculated based on the received amplitudes of the first and second echo signals and the path lengths of the first and second transmission paths.
11. A method as claimed in claim 1, wherein a flow or particle movement direction within the medium and/or magnitude is calculated based on the angle between the two transmit directions and the velocities measured along the two paths.
12. A method as claimed in claim 1, wherein the inclination angle of a boundary within the medium with respect to the transducer surface is calculated based on the difference in travel times along each of the first and second paths and the distances between source and receiver for each path.
13. A method as claimed in claim 1, further comprising comparing the received echo signal characteristics with outputs from a theoretical model that models the medium so as to extract or calculate the model parameters that best match the received echo characteristics.
14. A method as claimed in claim 13, wherein the model provides expected time differences for a given reference speed of sound at various depths and various source locations and receiver locations.
15. An ultrasound apparatus for measuring a property of a medium, comprising: one or more sources for transmitting ultrasound pulses into the medium; one or more receivers for receiving ultrasound pulses from the medium; and a processor configured and operable to: transmit one or more ultrasound pulses into the medium and receive at least first and second echo signals from within the medium, wherein the first and second echo signals correspond to first and second pulse transmission paths within the medium from the at least one source to the at least one receiver, the second path being different from the first path; and use the characteristics of the first and second echo signals together with an estimate of the property of the medium and a geometrical relationship between the first and second transmission paths to calculate a revised estimate of said property of the medium.
16. An apparatus as claimed in claim 15, wherein the processor is configured and operable to: estimate the characteristics of the received second echo signal based on the characteristics of the received first echo signal, the estimate of the property of the medium and the geometrical relationship; and calculate the revised estimate based on the estimated characteristics of the received second echo signal and the measured characteristics of the received second echo signal.
17. An apparatus as claimed in claim 16, wherein the characteristics of the first and second echo signals comprises the travel times of the first and second pulses respectively, and wherein the property of the medium comprises one of the following: speed of sound in the medium, attenuation in the medium.
18. An apparatus as claimed in claim 15, wherein the processor is configured and operable to: estimate a feature of the second path based on the estimate of the property of the medium, the characteristics of the received first echo signal and the geometrical relationship; estimate the same feature of the second path based on the estimate of the property of the medium and the characteristics of the received second echo signal; and calculate the revised estimate based on a comparison of the two estimates of the feature of the second path.
19. An apparatus as claimed in claim 18, wherein the feature of the second path is the path length of the second path and wherein the property of the medium comprises one of the following: speed of sound in the medium, attenuation in the medium.
20. An apparatus as claimed in claim 15, wherein the echo signal characteristics used in calculations include one or more of: travel time, received amplitude, received phase, frequency spectrum, or any characteristic derived from the above mentioned characteristics.
21. An apparatus as claimed in claim 15, wherein the processor is configured and operable to calculate one or more of: speed of sound in the medium, attenuation in the medium, flow or particle movement direction within the medium, displacement within the medium, strain within the medium, velocities within the medium, and angle or curvature of interfaces or bodies within the medium, or any properties derived from any of the previously stated properties.
22. An apparatus as claimed in claim 15, wherein the processor is configured and operable to calculate the speed of sound in the medium from the difference in travel times along each of the first and second paths and the distances between source and receiver for each of the first and second paths.
23. An apparatus as claimed in claim 15, wherein the processor is configured and operable to calculate the speed of sound in the medium from the difference in travel times along each of the first and second paths and the beam angles for each of the first and second paths.
24. An apparatus as claimed in claim 15, wherein the processor is configured and operable to calculate a flow or particle movement direction within the medium and/or magnitude based on the angle between the two transmit directions and the velocities measured along the two paths.
Description
(1) Certain preferred embodiments of the invention will now be described, by way of example only, and with reference to the accompanying drawings in which:
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(20) The methods for estimation of medium characteristics according to certain embodiments of the invention, explore the differences in a given attribute of the acoustic wave, for at least two different sets of source-receiver locations or at least two different sets of beam angles or beam paths, as illustrated in
(21)
(22) In
(23) Different source-receiver pairs define different transmission paths through the medium.
(24) The method may be implemented with any combination of number of sources and receivers, for example one emitted pulse could be received by several receivers (e.g.
(25) In
(26) The methods could be implemented in an ultrasound system using conventional beam forming, in which a narrow beam is having a focus zone at a given depth. The method is also well suited for implementation in plane wave approaches, in which plane waves are transmitted from the array. The invention could be implemented by sending at least two plane waves with different angles into the medium to investigate. This is illustrated in
(27) The following examples relate to estimation of true velocity of flow or of any moving parts within a medium explored by Doppler mode.
(28) As demonstrated below, it is possible to quantify the true blood flow velocity, independent of the angle between the transducer, or any source or receiver, and the blood vessel. It is also possible to measure the true velocity of any compartments or particle within a medium, when the medium or parts of the medium is exposed to any sort of stress or forces. The basic principles for both approaches are the same and rely on exposing a given region of interest (ROI) within the medium with acoustic waves along at least two different beam paths caused by a difference in transmit angles and/or source-receiver locations, and then use the frequency modulation (Doppler shift) or any parameters derived from the Doppler shifts for the at least two different wave propagation paths (beam paths), or directions of measurements, for subsequent calculation of angle or direction of the movement or flow relative to a reference angle that could e.g. be defined by a plane perpendicular to the transducer surface. The same method may be applied to any other parameters that may be derived from the observed Doppler frequency shift of the at least two acoustic waves. Thus, any given ROI (spatial position and depth) or sample in a dataset is associated with at least two different velocity (or Doppler shift) measurements, each associated with a given transmit magnitude and beam angle or source-receiver localization. By using geometrical calculations or other appropriate and known principles of calculations, the angle of orientation/direction of flow or particle movement compared to the transducer surface can be determined, and hence it is possible to calculate the true blood flow or particle velocity. The results of the angle determination or velocity measurements can be output to a file, display or image. The results of the method can also be used for subsequent analysis of data, and thereby improve the accuracy of established methods such as e.g. strain-rate-imaging, strain imaging, tissue Doppler imaging, and any other methods based on analysis of velocity or displacement of tissue, particles or liquids, in any given dimensional direction and with time.
(29) The method of the invention may be realized in several different ways. The following examples show some possible implementations of the method. Other alternative implementations can also be derived by a person of ordinary skill in the field of the invention.
(30) According to some preferred embodiments, the basic principle for detecting the angle/direction of flow or particle motion or displacement and the velocity or magnitude of flow/motion/displacement/deformation or the measurement of direction and/or magnitude of any particle movement in the medium at any region of interest, can be described as follows for the case of using two different measurement directions separated with an angle to measure the angle and velocity of flow: 1. The velocity of flow is measured in a given first direction; 2. A reference velocity value is calculated from the first velocity multiplied by e.g. the cosine of the angle between the measurement directions; 3. The velocity of flow is measured in another direction, with angle to the first measurement direction; 4. If the velocity found in step 3 is different than the reference value found in step 2, the angle of flow is calculated by considering the angle formed by a resultant vector between the measurements with magnitude and direction given from step 1 and step 3; 5. The magnitude of velocity in the direction of flow is estimated from using previous measurements and the found angle of flow.
IMPLEMENTATION EXAMPLE 1
(31) One embodiment of velocity measurements is outlined in
(32) In
(33) It will be appreciated that the flow in a blood vessel is merely one example of a situation in which this measurement technique can be used. The velocities of any other moving fluid flows or moving particles (e.g. cells or tissues) can also be measured. The tissue or medium may in addition be exposed to any kind of force to create a displacement or movement or deformation of the tissue, which can be detected and measured using this technique.
(34) As shown in
(35) The direction of the flow can be calculated by using at least two measurements of velocity or Doppler shift obtained for at least two different acoustic waves that cause echoes originating from the same ROI from different source/receiver locations.
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(37) By using e.g. geometrical considerations it can be derived that the angle of flow .sub.b can be determined from one of the equations:
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where a.sub.1 is determined by a.sub.1={square root over ((v.sub.0.sup.2+v.sub.1.sup.22v.sub.0v.sub.1 cos .sub.1)}. The choice of which of equations (1) and (2) to use in the calculations may be based on the difference between the expected velocity v.sub.1.sub._.sub.EXP calculated from v.sub.1.sub._.sub.EXP=v.sub.0 cos .sub.1 and the measured value for v.sub.1. If v.sub.1v.sub.1.sub._.sub.EXP0 use equation (1), while if v.sub.1v.sub.1.sub._.sub.EXP<0 use eq. (2).
(39) Note that the angle of movement, particle motion or flow in this context means the angle of flow/motion relative to a plane normal to the transducer face. Flow or movement direction towards the transducer is an angle of 0 degrees and angles are measured anticlockwise from that reference. For the purposes of evaluating equations (1) and (2) above, velocity measurements are positive towards the transducer face and negative away from the transducer face.
(40) The angle of flow is thereby calculated from the values of the Doppler shift, or velocities estimated therefrom, for the two acoustic beams targeting the same spatial ROI but having different propagation paths. In addition to the measured velocities the difference in angle between the two transmitted beams is used in the calculations.
(41) It should be noted that more than one pulse is usually needed to perform Doppler measurements, which for the sake of simplicity is not elaborated here, but is well known to a skilled person.
(42) It should be noted that alternative equations for calculating the angle of flow may be derived which are mathematically equivalent to the above, and which may be more computationally effective in terms of the processing power required to execute them. Also, other equations may provide more robust results.
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(47) In
(48) The magnitude of the velocity of the flow or particle movement may be calculated from either of the measured velocities v.sub.0 or v.sub.1, for example using the equation:
v.sub.b=v.sub.0/cos .sub.b(3)
(49) One of several possible practical implementation of the invention is outlined in
(50) In step 153, the same region of interest (ROI) is sampled with a second acoustic beam at a different beam angle, from a different source-receiver pair such as S.sub.1, R.sub.1 in
(51) In step 155 the measured velocity v.sub.1 is compared with the v.sub.1.sub._.sub.EXP value calculated from v.sub.0. This comparison determined which of equations (1) and (2) should be applied for calculation of the flow angle. If v.sub.1v.sub.1.sub._.sub.EXP0 processing proceeds to step 156 in which equation (1) is used to calculate the flow angle. Otherwise, if v.sub.1v.sub.1.sub._.sub.EXP<0 processing proceeds to step 157 in which equation (2) is used to calculate the flow angle.
(52) In step 158 the flow is calculated and the velocity (magnitude and direction) are output for further use. The data are also output to step 159 where they are combined with the original echo data which can also be used for other purposes such as standard B-mode imaging for example. The flow data can be overlaid on such B-mode images or can be displayed alongside it on a display such as a computer monitor in step 160.
IMPLEMENTATION EXAMPLE 2
(53) Other embodiments of the invention may also be implemented using more than two acoustic beams to examine the given ROI in the medium. A schematic of beam patterns for this implementation is illustrated in
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(55) The estimation of the angle of flow or particle motion can be derived by using two different equations exploring the difference in angle between the velocity vectors v.sub.0, v.sub.1, v.sub.2 and the resultant vectors a.sub.1 and a.sub.2 in a similar way as shown in Implementation Example 1 above:
(56) If v.sub.1v.sub.2>0 then select Eq. 1 for calculating the angle of flow or particle motion, if v.sub.1v.sub.2<0 then use Eq. 2. This may be computationally more efficient as a simple subtraction and comparison can be performed far more rapidly than the cosine calculation used in Implementation Example 1. The additional acquisition required for this example can be done simultaneously with the other acquisitions so as not to slow down the process.
(57) In addition, the extra velocity measurement can be incorporated into the calculations if desired to improve the accuracy of the calculated values for the true flow angle and magnitude.
IMPLEMENTATION EXAMPLE 3
(58) The velocity of flow or particle motion can also be found using a more exploratory use of acoustic beams, exploring the same ROI within the medium with acoustic waves with a multiple of beam paths. The magnitude of the flow velocity or particle movement can then be found by interpolating, extrapolating or curve fitting of the obtained velocity associated with the different acoustic waves, and thereby predicting the maximum magnitude of velocity and optionally the direction of flow at which the maximum occurs, based on the previously obtained measurements of velocity using different beam paths. The principle of interpolating, extrapolating or using curve-fitting methods to estimate the flow or particle velocity is schematically shown in
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(60) Thus, the calculated velocity of flow or particles within a given medium using the current approach is a result of exposing a given ROI within the medium with acoustic waves having different propagation paths, and using the attributes of the acoustic waves and information about the spatial location of source receiver locations or beam angles for estimation of parameters and characteristics of the investigated medium
(61) It should be noted that any sets of beam angles and/or source-receiver locations might be used in the implementation of the invention shown in all examples, and the beam paths are not limited to those shown in the figures. It should also be noted that the output of the method is not necessarily an image, but could also be displayed as numbers, written to a file or used as input in subsequent calculations.
(62) The following illustrates how the above described methods can also be used for estimation of displacement, velocity, strain, strain rate or elastic properties in a medium by analysis of reflected or backscattered events.
(63) Embodiments of the invention may also be applied on analysis of displacement, velocity, strain, strain rate and other parameters involving the study of media response to any set of forces. The force or stress acting on a medium or tissue may be generated internally from e.g. physiological and biological processes, or be applied externally by using e.g. radiation force or any other mechanical force such as palpation by a clinician. The method of the invention may be applied by following the same approach and principles as described in the previous section with reference to examples 1-3. However, the measurement of the displacement or other responses of the medium when exposed to a set of forces does not have to be based on Doppler shift methods as described in the previous examples. The method may be applied on any data being echoed or propagating from an interface back to a receiver, as for example in conventional ultrasound brightness mode (B-mode) imaging. For simplicity, we will in the subsequent description only refer to measurements of displacements u, investigated by using a transducer for ultrasound B-mode imaging of a soft tissue. However, the invention may also be applied for measurements of other parameters and for other measurement systems involving propagation of waves.
(64) The investigation of a given ROI with given spatial coordinates and depth using elastic or acoustic waves with different propagation paths follows the basic principles explained in the previous section. However, the measurement ROI (which may be represented by one or more sampling points, pixels or voxels) is associated with a set of at least two displacement attributes or values with a given magnitude and beam angle or source-receiver localization, instead of velocity as in the previous section.
(65) The Eqs. 1 and 2 can accordingly be restated as:
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where .sub.u is the angle of the direction of displacement relative to a plane perpendicular to the transducer surface, where 0 indicate an angle of the measured displacement being perpendicular to the probe surface. The resulting length of side a can be calculated as a=(u.sub.0.sup.2+u.sub.1.sup.22 u.sub.0 u.sub.1 cos .sub.1). The criteria for selecting the appropriate equation for calculation of the angle may be based on the difference between the expected displacement u.sub.1.sub._.sub.EXP calculated from u.sub.1.sub._.sub.EXP=u.sub.0 cos .sub.1 (i.e. on the provisional assumption that displacement is perpendicular to the transducer face) and the measured value for u.sub.1. If u.sub.1u.sub.1.sub._.sub.EXP0 use equation (4), while if u.sub.1u.sub.1.sub._.sub.EXP<0 use eq. (5).
(67) The magnitude of displacement in the estimated angle from Eq. 4 or 5 can be estimated from:
u.sub.d=u.sub.0/cos .sub.u(6)
(68) As for the case with determination of particle velocity using Doppler data, the magnitude of displacement occurring in the direction .sub.u can be estimated from the found angle of direction for the displacements or movement relative to the probe surface, which is calculated by measuring displacements occurring in at least two different propagation paths for the acoustic waves examining a defined ROI.
(69) The implementation examples in the previous section may also be adapted and applied for the purpose of estimation of displacements in the medium. The most important practical difference is that the displacements along the axial direction of the ultrasound data need to be estimated, instead of the velocity found by Doppler mode ultrasound. The displacements at any depths can be found by e.g. acquiring at least two images for each beam angle, and finding the displacement along the beam (axial direction) by using any known methods for estimation of time delays, as e.g. the autocorrelation and 2D cross-correlation method. The correlation may also be done in the lateral direction, i.e. across beams, in order to estimate time delays between beams in the lateral directions. However, the estimation of time delays is more commonly performed in the axial direction. Based on the magnitude and angle of the displacements for a given ROI, the angle for the direction of the displacements (or particle motion) relative to the transducer surface (or any other suitable reference) may be calculated, as well as the magnitude of the displacements in this direction. A coarse overview of a possible practical implementation is shown in
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(71) In step 183, the same region of interest (ROI) is sampled with a second acoustic beam at a different beam angle, from a different source-receiver pair such as S.sub.1, R.sub.1 in
(72) In step 185 the measured displacement u.sub.1 is compared with the u.sub.1.sub._.sub.EXP value calculated from u.sub.0. This comparison determined which of equations (4) and (5) should be applied for calculation of the angle of flow or particle motion. If u.sub.1u.sub.1.sub._.sub.EXP0 processing proceeds to step 186 in which equation (4) is used to calculate the angle of displacement. Otherwise, if u.sub.1u.sub.1.sub._.sub.EXP<0 processing proceeds to step 187 in which equation (5) is used to calculate the angle of displacement.
(73) In step 188 the displacement magnitude and direction are output for further use. The data are also output to step 189 where they are combined with the original echo data which can also be used for other purposes such as standard B-mode imaging for example. The displacements or flow data can be overlaid on such B-mode images or can be displayed alongside it on a display such as a computer monitor in step 190.
(74) Embodiments of the invention are well suited for analysis of deformation and motion, measured as a function of source-receiver location, beam angle (transmit and/or receive) or wave propagation path. The change in attributes can be used for calculation of material properties or the response of the medium. Based on the previous examples it should be well illustrated how the analyses may be performed and implemented, and a skilled person could translate the methods of the invention for use in quantitative assessment of elastic properties and parameters other than those mentioned here.
(75) Embodiments of the invention can be used for estimation of the speed of sound using multiple source/receiver locations and/or beam paths in the medium to obtain an accurate measurement of the speed of sound.
(76) The basic principle is that the speed of sound is calculated by exploring assets that are related to the travel time between acoustic pulses, or waves, having a different wave propagation path in the investigated medium. The medium could be any biological tissue, solids, gas or fluids. The different wave propagation paths of the acoustic pulses or waves can be introduced in the medium by using for example an ultrasound transducer array. The sound can be emitted and/or recorded using different source-receiver elements, or by using different beam angles. A given region of interest in the medium is therefore investigated with pulses having at least two different propagation path lengths. As the travel time is related to both speed and travel path length, the travel time for a medium with a given speed of sound will be different for pulses having different propagation paths.
(77) The steps below can exemplify the method of the invention for estimation of wave propagation velocity in a given medium: 1. The travel time for a transmitted and echoed pulse or wave for at least two different wave propagation paths is recorded for a given region of interest in the investigated medium. 2. The difference in travel time for the two recorded signals is found 3. The observed difference in travel time is compared to a reference difference in travel time, the reference value may be estimated from the given source and receiver geometry and a given speed of sound, or be calculated from a previous estimate of the speed of sound. 4. Any deviation between the observed difference in travel time and the reference difference in travel time can be assumed to be related to a different speed of sound in the investigated medium, compared to the speed of sound setting used initially (e.g. the speed of sound c set in the ultrasound scanner) for the estimated reference value. 5. The speed of sound of the investigated medium can be expressed by relating the observed travel time difference for an echo originating from a given depth to the reference difference in travel time as expected or anticipated by e.g. geometrical considerations of travel length based on the source and receiver elements locations and/or angular measures related to the ultrasound beam angle. 6. The method may be implemented using an iterative approach, repeating the estimates of speed of sound until the observed difference in travel time and the estimated reference difference in travel time is similar by a given order of accuracy.
(78) The difference in travel time between the at least two signals may be calculated by for example correlation based methods, or by subtracting the travel time between similar features of the signals as e.g. the time between the maximum amplitude of the signals, or by other methods suitable for the purpose. The analysis of speed of sound may be repeated for any region of interests. The influence of curvature or angle of a given imaged object may be compensated for, as shown later.
(79) One implementation of the principles of the invention is to calculate the change in travel time for a reflection occurring at a given depth d for at least two acoustic pulses with different wave propagation paths caused by differences in source-receiver location and/or beam forming (angles), as schematically outlined in
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(82) An acoustic pulse is transmitted from S.sub.0, propagating at speed c to a depth dwhere an echo is formed at an interface 200 between two tissues and propagates back to the receiver location R.sub.0. The simple equation for the total travel time t.sub.0 for the transmission of the pulse and receiving the echo is given by:
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(84) A second pulse is transmitted from S.sub.1 (a distance x from S.sub.0, R.sub.0), propagating to the same region of interest at depth d where an echo is generated and is propagating to the receiver R.sub.1 (a distance x the other side of S.sub.0, R.sub.0). The travel time t.sub.1 for the propagation distance s.sub.1. from source S.sub.1 to the point of reflection at depth d is expressed by:
(85)
where is the angle of the transmitted beam relative to a plane perpendicular to the transducer surface. The total travel time for the acoustic pulse transmitted from S.sub.1, reflected at depth d and received at R.sub.1 can thereby be expressed as:
(86)
(87) Thus, the travel time with the given source-receiver and depth can be related to the travel time for the normal incidence wave at the similar depth and region of interest. The difference in travel time t related to the different paths of travel for the two different waves could accordingly be stated as:
(88)
where s denotes the difference in travel distance between the propagated acoustic pulses. From this we observe that the difference in travel time can be calculated based on e.g. the travel time for normal incidence waves being reflected at a given depth, and the beam angles of the successive acoustic waves. The difference in travel time may alternatively be calculated by considering the depth of the target and the location of source and receiver elements.
(89) The change in travel time for any pair of source-receiver locations may be theoretically calculated from equations stated above for wavelengths much less than the curvature of the reflecting interfaces in the medium. However, expressions for difference in travel time for waves propagating in a more complex medium are possible to derive. For example, the difference in travel time for two acoustic waves being reflected/scattered from a non-horizontal layer may be calculated. As shown in a later section methods according to embodiments of the invention may also be used for calculation of the curvature of an interface in the medium.
(90) Based on the theoretical derived equations it is therefore possible to calculate the change in travel time for any set of source-receiver locations and for any depth. This may be calculated in advance and stored on the computer of e.g. an ultrasound scanner. The speed of sound for the investigated medium for the given spatial position of sources/receivers and given depth can be estimated by relating the measured time delay between e.g. a normal incidence wave and a wave transmitted with an oblique angle causing a reflection at the same point in depth with the theoretical derived estimate for time delay for a similar acquisition geometry and depth using a known value for speed of sound c.sub.0. At a given depth the relation between estimated and measured difference in travel time for two acoustic waves with different beam angles can be stated as:
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(92) Assuming that the spatial difference in propagation length s should be identical for a given source-receiver arrangement and depth, any difference in the estimated and observed (or measured) time delay, .sub.test and t.sub.obs must be addressed to a difference in speed of sound, c.sub.0+c. This can be stated as:
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(94) A higher observed/measured travel time delay than the theoretical obtained travel time delay would therefore imply a slower speed of sound in the explored medium, than the speed of sound used for the theoretical calculation of travel time delay. If one acoustic wave is transmitted along the normal incidence towards the probe surface (defined here as 0 degrees beam angle), the estimated difference in travel time for any beam angle can be expressed as a function of the travel time t.sub.0 of the zero-degree beam (eq. 10) resulting in:
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(96) It will be appreciated that other calculations could be made using any two beam angles, not necessarily including the normal incidence path to and from the transducer.
(97) The theoretical calculations of change in travel time delay versus source-receiver location may be made more refined than expressed in Eq. 14. The calculations may e.g. include the effect of non-horizontal interfaces relative to the plane of the transducer surface in the medium explored. The curvature of the interfaces in a medium could be defined by the user, or estimated by a data driven method as shown in later sections of this document. The curvature of interfaces within the medium explored using acoustic waves may also be extracted manually or automatically based on the acquired images of the medium, and used for calculation of more exact travel time delay changes and thereby providing more accurate estimates of speed of sound.
(98) The estimated time differences may also be established by experimental data from e.g. laboratory measurements. The expected time differences may also be derived from modelling of waves propagating in a given medium, using for example ray-tracing methods or finite element methods.
IMPLEMENTATION EXAMPLE 4
(99) A schematic overview of a given implementation of the method for the purpose of estimation of speed of sound is shown in
(100) The method begins in step 300 at the top left of
(101) Step 301 may be done prior to any data acquisition as it relates to setting up a model or theoretical calculations for comparison with the acquired data. In this step, calculations are made for the time delays (and thus the difference in time delays) that would be expected for pulses transmitted via the given source and receiver locations for reflections at varying depth (i.e. ROIs at varying depth) and at a reference speed of sound c.sub.0.
(102) In step 303, the difference in time delay between the two beam paths is calculated (e.g. using received signal correlation techniques). Then in step 304 the calculated difference in time delays is compared with the reference values from step 301. This may be via repeated calculations in a theoretical model or it may be via a lookup process if tabular data were generated in step 301, or any other suitable data comparison technique may be used.
(103) Step 305 represents an optional iterative process in which the current calculated speed of sound is compared with that of the previous iteration (or a starting value if this is the first iteration). If the difference is less than a threshold value then the speed is deemed to have converged to a suitable extent and is output. The calculated speed of sound is fed back to the acquisition step 300 where it can be propagated forward through the method to be used in subsequent iterations. When a final value has been obtained, it is merged in step 306 with the other acquired data (e.g. image data) and output via a display such as a computer monitor at step 307.
(104) It should be noted that this figure is intended to serve as an illustrative example of the implemented method, and does not necessarily represent all steps needed for practical applications of the invention. The same applies to the other figures relating to other embodiments.
IMPLEMENTATION EXAMPLE 5
(105)
(106) The following description is of an implementation of a process broadly following the method of
(107) This example of estimating speed of sound in a medium is illustrated with reference to
(108) The data were generated by using a point scatterer in a medium with a homogeneous speed of sound velocity. The transducer defined for the simulations was a linear flat array transducer with 128 elements, using plane wave imaging. The simulations were done with the point scatterer at 3 cm depth, located laterally at the midpoint of the ultrasound transducer. The synthetic data were generated by using two different values for speed of sound of the medium (c.sub.om); 1540 m/s and 1580 m/s.
(109) The simulated data for a single ultrasound frame for the two values of c.sub.om is shown in
(110) The first processing step is to correct the travel time data for geometrical differences caused by the lateral offset of the channels, keeping channel 64 (with shortest traveltime) as the reference. The one-way travel time from the scatterer to the transducer element for a given channel (element) n is given by the equation:
(111)
where x.sub.n is the lateral distance between the central element (element 64) and the receiver n used for the estimation, and D is the depth of the scatter (origin of the reflected echo) estimated by D=TWT*c/2, and TWT is the recorded two-way-traveltime for the element above the scatterer (here element 64).
(112) To estimate D, a value of the speed of sound is required. This may conveniently be taken as the default speed of sound of a typical scanner which is 1540 m/s. Thus, this first correction is done using the fixed speed of sound of the scanner set to c.sub.os=1540 m/s, and the results are seen in
(113) In the next step, the synthetic data is used as the input to the medium speed of sound calculation, using the methods described above implemented in Matlab to produce a new, improved estimate of the speed of sound.
(114) The calculations were performed as an iterative process, and the end result after 80 iterations is illustrated in
(115) In the calculations for the data illustrated in
(116) The reflected signal from a scatter for two different channels, 64 and 128, of the synthetic data is shown in
(117) In the above figures, it will be seen that the amplitude of the pulse received at channel 128 is also smaller due to the additional absorption caused by the extra distance travelled. This amplitude difference does not hinder the correlation algorithm used in this embodiment for determining the difference in time between the two pulses, although it will be appreciated that in other embodiments a normalisation step may be included to normalise the amplitudes before correlation.
(118) In
(119) It can be seen from the above that the results of the estimated speed of sound are very accurate for this simple case.
(120) A practical implementation for finding the speed of sound for any given lateral or elevation (2D arrays) source-receiver localization could be to calculate the expected travel time difference for any travel time t.sub.0 obtained for the normal incidence acoustic wave (defined as 0 beam angle), store the value in a memory buffer, estimate the true travel time difference between the zero and non-zero beam angle by e.g. a correlation based method or using a statistical based approach, divide the estimated time delay value with the observed (measured) time delay value, and multiply by the default or initial speed of sound c.sub.0 used by the scanner for depth conversion. This corresponds to equation (13). This process may optionally be made iterative for improved accuracy and precision, updating the calculations with the estimated speed of sound and finding a converging speed of sound for a given ROI. The measurements for a certain ROI can be done until the speed of sound for iteration (i) is less than a certain user-defined threshold apart from the speed of sound estimated in iteration (i1). The measurements can be repeated and performed for any given number of ROls for any spatial position and depth by adjusting to appropriate beam angles and/or source-receiver localization as illustrated in
(121) The estimated speed of sound represents the average speed of sound of the propagation path. The average velocity between two defined depths of a given spatial position can be calculated by subtracting the speed of sound measurement at depth d-1 from the measurement at depth d. This method therefore allows the generation of a grid in 2D and/or 3D of speed of sound measurements in space for a given medium, by repeating the measurements at the desired spatial location and regions of interest in depth. Variations in the speed of sound within an area can thus be mapped and can be used to provide more accurate measurements and calculations when imported into other measurement and image techniques. The output of the measurements can be used for internal calculations in the scanner only, exported as a data file, shown as a colour coded 2D image or 3D image volume, or any other suitable formats. The estimated speed of sound also allows calculation of distances from the transducer to objects within the investigated medium, or between objects causing echoes within the medium. The calculated distance may also be used to calculate parameters that are dependent also on distance, as amplitude decay and attenuation.
(122) The change in travel time between the at least two signals transmitted and received may be obtained by e.g. a correlation-based method as described above, using the data received at R0 and R1 with recorded echoes from the same ROI as input for the correlation process. The correlation function can be further analysed to find the time delay between the input data for a given depth by finding the exact time (from zero lag) of the maximum magnitude of the correlation function. This may be calculated in several ways, e.g. using established methods that are known from ultrasound estimation of time delays for estimation of tissue displacement, velocity or strain using either curve fitting and interpolation of the correlation function magnitude or phase sensitive processing to obtain the exact time of the maximum. These methods may detect time delays to an accuracy within a fraction of the sampling time, in the order of nanoseconds. The correlation of the signals may be replaced by other suitable processing methods for finding the time delay, or attributes related to time delay such as e.g. phase properties, between the recorded signals.
(123) Other embodiments of the invention may be used for estimation of curvature or the angle of interfaces within the medium.
(124) In case of non-horizontal interfaces relative to the plane of the transducer surface in the medium explored, embodiments of the invention can be used to estimate the angle of the interface relative to the transducer surface, or relative to any other suitable reference plane.
(125) The estimates of interface curvature or angles in the medium could be obtained by emitting an acoustic pulse at a given location and beam angle, and estimating the difference in travel time for a given number of adjacent receivers. This is shown in
(126) Signals transmitted from S.sub.0 will be received at R.sub.0, R.sub.1 and R.sub.2 after reflection from different locations along the boundary and therefore with different path lengths and different travel times. The difference between the travel times can be geometrically related to the inclination angle of the boundary as illustrated in the triangles depicted in the upper portion of each of
(127) Based on the differences in travel times and the known distances between the source and the receiver locations, it is possible to derive the angle or curvature of an interface or body within the medium by using e.g. geometrical considerations in a similar way as has been shown in other embodiments described above.
(128) The given approaches can be repeated for any depth and any lateral position, and thereby it is possible to track the angle of any given interface within the medium. The information about the angle of any interface can be used as input for the transmit circuit of the source, in order to steer the beams at such an angle that most of the energy of the reflected or scattered waves are projected back to the receivers or transducer. The derived curvatures of the interfaces may also be used to calculate optimal source-receiver locations for exploring the medium, i.e. estimation of positions to maximize the energy being reflected or scattered in case of curved or dipping boundary. Information about the angle of interfaces may also be used to derive better estimate of e.g. speed of sound and for generation of models (2D or 3D) for simulation or for acoustic or elastic numerical modelling. In some embodiments, the estimation of curvature of an object could be a natural part of estimating the speed of sound. Initially one can calculate the difference in travel time between received echo signals for a given ROI that is caused by the curvature of the object. Once this has been done, it is possible to derive the speed of sound accounting for the curvature of any object.
(129) The methods of the invention is applicable for any transducer technology and geometry (1 D, 1.25D, 1.5D, 2D arrays). Where the description of angle measurements has been given above with respect to a plane to give an angle relative to that plane, it will be appreciated that a 2D array can perform the same operation relative to another plane at an angle (e.g. perpendicular) to the first plane to provide full 3D direction information for flows or particle movement or forces within the medium. The methods can also be implemented with any method of beam forming, as in conventional ultrasound where a beam is focused at a narrow point in depth, or with plane wave methods.
(130) Embodiments of the invention may also be used for estimation of attenuation.
(131) Embodiments of the invention can be used for analyses and quantification of attenuation or any other amplitude derived variables for any medium explored with acoustic waves. The change in amplitude of a reflected echo originating from depth Z versus the at least two different source-receiver locations or beam angles can be measured for the acoustic waves propagating in a given medium. The attenuation can be calculated as the decrease in amplitude over unit length. The spatial length can be calculated from the travel time delay between the at least two different source-receiver and/or beam angle combinations and/or propagation paths of the acoustic wave. By using Fourier transform of the time domain signal the attenuation versus frequency can be derived.
(132) The attenuation coefficient may also be calculated by relating the measured amplitude decay as a function of source-receiver location or beam angle, and relating this decay to a similar theoretical calculated decay using a given attenuation coefficient. This approach is similar to that described above for speed of sound measurements. The attenuation coefficient of the explored medium may therefore be estimated by multiplying the attenuation coefficient used in the theoretical calculations with the fractional difference between the measured/observed and theoretically estimated amplitude decays.
(133) It will be appreciated that the techniques above may be combined in a single apparatus. The different measurement techniques may be applied simultaneously and/or sequentially. In many cases one measurement may improve calculation for other measurements. For example, an accurately measured speed of sound (or array or map of speeds) can be used in attenuation measurements to calculate propagation lengths accurately. This combination is provided purely by way of example. Many other combinations are also possible as will be appreciated by one of ordinary skill in the art.