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Circulation. 2000;102:1053-1061

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(Circulation. 2000;102:1053.)
© 2000 American Heart Association, Inc.


Basic Science Reports

The Power-Velocity Integral at the Vena Contracta

A New Method for Direct Quantification of Regurgitant Volume Flow

Thomas Buck, MD; Ronald A. Mucci, PhD; J. Luis Guerrero, BS; Godtfred Holmvang, MD; Mark D. Handschumacher, BS; Robert A. Levine, MD

From the Cardiac Ultrasound Laboratory (T.B., R.A.M., M.D.H., R.A.L.), Cardiovascular Surgical Unit (J.L.G.), and Cardiac MRI Unit (G.H.), Massachusetts General Hospital, Harvard Medical School, Boston.

Correspondence to Robert A. Levine, MD, Cardiac Ultrasound Laboratory, Massachusetts General Hospital, VBK 508, Boston, MA 02114. E-mail rlevine{at}partners.org


*    Abstract
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*Abstract
down arrowIntroduction
down arrowMethods
down arrowResults
down arrowDiscussion
down arrowReferences
 
Background—Noninvasive quantification of regurgitation is limited because Doppler measures velocity, not flow. Because backscattered Doppler power is proportional to sonified blood volume, power times velocity should be proportional to flow rate. Early studies, however, suggested that this held only for laminar flow, not for regurgitant jets, in which turbulence and fluid entrainment augment scatter. We therefore hypothesized that this Doppler power principle can be applied at the proximal vena contracta, where flow is laminar before entrainment, so that the power-times-velocity integral should vary linearly with flow rate and its time integral with stroke volume (SV).

Methods and Results—This was tested in vitro with steady and pulsatile flow through 0.07- to 0.8-cm2 orifices and in 36 hemodynamic stages in vivo, replacing the left atrium with a rigid chamber and column for direct visual recording of mitral regurgitant SV (MRSV). In 12 patients, MRSV was compared with MRI mitral inflow minus aortic outflow and in 11 patients with 3D echo left ventricular ejection volume–Doppler aortic forward SV. Vena contracta power in the narrow high-velocity spectrum from a broad measuring beam was calibrated against that from a narrow reference beam of known area. Calculated and actual flow rates and SV correlated well in vitro (r=0.99, 0.99; error=-1.6±2.5 mL/s, -2.4±2.9 mL), in vivo (MRSV: r=0.98, error=0.04±0.87 mL), and in patients (MRSV: r=0.98, error=-2.8±4.5 mL).

Conclusions—The power-velocity integral at the vena contracta provides an accurate direct measurement of regurgitant flow, overcoming the limitations of existing Doppler techniques.


Key Words: echocardiography • regurgitation • mitral valve • blood flow


*    Introduction
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up arrowAbstract
*Introduction
down arrowMethods
down arrowResults
down arrowDiscussion
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Valvular regurgitation, at times life-threatening, is common in virtually all heart diseases. Accurate regurgitant volumes are critical to guide therapy, especially now that valve repair is widely available and favors early intervention before functional deterioration.1 Current noninvasive techniques cannot measure regurgitant flow rate directly at the lesion,2 3 4 5 6 7 which requires the product of velocity and orifice area: Velocityxarea=flow rate.

Doppler measures velocity, but orifice area is unknown and often varies throughout the regurgitant flow period.8 9

To overcome this limitation, we developed a new approach using the backscattered acoustic power from the Doppler signal10 to provide the area information we need: Velocityxpower{propto}flow rate.

Backscattered power returning to the ultrasound transducer is a nonlinear function of hematocrit, resulting from constructive and destructive interference of sound waves returning from scatterers within the Doppler sample volume.11 12 13 For blood of a given hematocrit, however, flowing through a thin disk-like sample volume of fixed height, backscattered power in the Doppler spectrum of flow velocities is linearly proportional to the blood volume of moving scatterers and therefore will be linearly proportional to the cross-sectional area (CSA) of flow within the beam14 15 : a flow with twice the CSA, and therefore twice the volume of moving scatterers within the sample volume, will return Doppler signals with twice the power, so long as the areas all lie within the Doppler beam (Figure 1Down). Backscattered power from nonmoving or stagnant blood within the sample volume but outside the flow CSA does not contribute to the power in the Doppler spectrum from rapidly moving blood. Backscattered power therefore has the potential to provide the CSA information we need to calculate flow rate.



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Figure 1. For constant hematocrit, backscattered Doppler power is proportional to sonified volume of moving scatterers and therefore to CSA of flow through thin Doppler sample volume. (This is a simplified schematic. Power from scatterers outside flow CSA does not contribute to power in Doppler spectrum of rapidly moving blood.)

Because backscattered power also depends on round-trip attenuation of sound and backscattering coefficient (backscattered power/volume, a function of hematocrit),12 13 these power measurements must be calibrated in the same individual against power returning from a beam of known CSA that lies entirely within flow at the same depth as the pathological flow of interest: The hematocrit, backscattering coefficient, and attenuation are the same, so that any changes in Doppler power should relate to changes in the CSA of flow within the beam.15

It has long been assumed that this principle holds only for laminar flow, such as that in blood vessels,15 and cannot be applied to regurgitant jets because, for a given flow rate, backscattered power is increased by turbulent eddies11 13 16 and fluid entrainment into the jet.17 18 Regurgitant flow, however, is laminar, not turbulent, at the proximal vena contracta, the smallest jet CSA, where velocity is highest (Figure 2Down).5 6 17 19 Therefore, we proposed the new hypothesis that mitral regurgitant (MR) flow can be quantified directly at the vena contracta, where flow is laminar before entrainment. At this site, identified by a narrow velocity spectrum corresponding to laminar flow, total backscattered power integrated over the velocity spectrum should be linearly proportional to the vena contracta CSA: Jet CSA{propto}{int}velocity power (at velocity v) dv, or the power integral (PI).



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Figure 2. Flow phantom with narrow-spectrum vena contracta Doppler signal.

Flow rate Q equals vena contracta area times velocity; therefore, power times velocity, integrated over the vena contracta velocity spectrum, should be proportional to regurgitant flow rate: Q{propto}{int}velocity power (at velocity v) vdv, or the power-velocity integral (PVI).

Finally, the time integral of power times velocity should be proportional to regurgitant stroke volume: RSV={int}time Q (at each time t) dt, or the power-velocity-time integral (PVTI).

We tested this method in vitro; in vivo with a new model providing a direct regurgitant volume gold standard; and in initial patient applications, with calibration to provide clinically useful absolute flow values.


*    Methods
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*Methods
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In Vitro Studies
Flow was driven from a Plexiglas left ventricle (LV)-simulating chamber (5.7-cm diameter) through an orifice 10 cm from the ultrasound transducer (typical mitral depth) to a left atrium (LA)-simulating chamber (Figure 2Up). Circular orifice areas of 0.2, 0.5, and 0.8 cm2, corresponding to mild to severe clinical lesions, were studied at 5 steady flow rates from 20 to 60 mL/s from a piston pump that minimized cavitation (modified Mark IV Power-injector, Medrad), and with 4 parabolic pulses of 20 to 70 mL from syringe injections; a 0.07-cm2 orifice was also studied at 20-mL/s flow. Microbubble generation by the orifice pressure drop in blood or surfactant-containing analogues was resolved by use of degassed distilled water and 19% glycerol (specific gravity, 1.043 g/cm3); adding 48 600 polystyrene microspheres/mL (25.2-µm diameter; Duke Scientific) produced a backscattering coefficient equivalent to that of human blood.20

In Vivo Experimental Studies
We developed a new canine model to measure MR volume directly without flowmeters (Figure 3Down).21 In adult dogs (20 to 25 kg) anesthetized with 30 mg/kg IV sodium pentobarbital and ventilated, a nondistensible LA chamber was sutured to the mitral annulus via a Dacron sewing ring, and the atrial walls were sutured tightly around it. This chamber was directly attached to a 1.0-cm-diameter column within which MR stroke volume (MRSV) produced a vertical fluid excursion with each systole that was videotaped and measured (1.3 cm=1 mL). With right heart bypass, all venous return was collected, and the oxygenated blood was pumped via a reservoir and wide-bore cannula into the LV through a 1-way valve. A total of 36 different hemodynamic stages were analyzed in 3 dogs with regurgitant orifices of 0.12 to 0.21 cm2 cut into the anterior leaflet, and afterload was changed by aortic clamping.



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Figure 3. In vivo model for direct MR stroke volume recording from blood excursion in nondistensible LA chamber.

Patient Studies
Initial clinical applications involved 23 patients with MR with a range of severity and etiologies (TableDown), including eccentric jets, studied from a transthoracic apical approach with at least fair to good image quality. In 12 patients (age, 52±17 years; 9 male, 3 female), MRSV by Doppler power was compared with mitral inflow minus aortic outflow MRI (see below) obtained within 30 to 60 minutes of Doppler.


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Table 1. Patient Data and Results of MRSV Measurements

A second group of 11 patients (age, 65±13 years; 8 male, 3 female) had MRSV calculated from 3D echo LV ejection volume (see below) minus forward aortic stroke volume derived from LV outflow tract CSA times the integral over time of power-weighted mean velocity to account for the sampled velocity spectrum.22

Doppler Methods
In all studies, the 2.5-MHz transducer (1.8-MHz Doppler) of a Hewlett-Packard 5500 scanner was used to record velocities up to 800 cm/s with high pulse repetition frequency Doppler from a thin sample volume (0.35 cm) placed in the vena contracta to record the narrowest high-velocity spectrum just beyond the orifice. To prevent signal reduction at low flow rates, a low wall filter (200 Hz, or {approx}8 cm/s) was used. Compress, reject, transmit power, receive gain, depth, and velocity range settings were kept constant in the in vitro series and within each patient and animal.

Power-Velocity Analysis
Digitally recorded Doppler video display intensities, nonlinearly compressed, were reconverted to their original uncompressed acoustic amplitudes and power (amplitude squared) on the basis of the acquisition compress and reject settings. Power and power times velocity were then integrated over all velocities in the narrow vena contracta velocity spectrum (Figure 4Down) at each time point with MATLAB software (Version 5.1, MathWorks). Steady-flow power and power-velocity integrals (PI and PVI) were averaged over the recorded time samples ({approx}200 to 350x4.9 ms/line). Pulsatile-flow PVI was integrated over time to obtain the PVTI.



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Figure 4. Power-velocity analysis. A, In vitro pulsatile flow vena contracta spectrum. (Signals near baseline, from first high pulse repetition frequency sample gate, are not analyzed.) B, Magnified image of pixel values for each velocity v at time t (vertical line). Pixel amplitude2=power, integrated over all velocities, gives PI, bottom left, which is relatively constant for constant in vitro orifice area. PVI (bottom right) mirrors flow rate, which is proportional to velocity for a fixed orifice.

Doppler Beam Size
The entire 1.2x2.0-cm transducer aperture produces an estimated sample volume of 3.1-mm lateralx5.2-mm elevation dimension at 10 cm based on half-maximum-power beam width.23 To encompass larger jets, we created a broad distal measuring beam by reducing the transducer aperture with a Tyvek (Dupont) mask (Figure 5Down). In vitro, a 7-mm-diameter circular aperture increased beam width to 6.75 mm (circular 0.36-cm2 CSA); in vivo, a larger (10-mm) aperture was used to record weaker signals (beam width=5.8 mm, CSA=0.26 cm2).



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Figure 5. Measuring beam and calibration principle. A narrow reference (Ref) beam provides ratio between backscattered power and CSA. CF indicates correction factor compensating for decrease in power due to aperture reduction.

Power Calibration
Calibration converts unitless power to absolute areas and accounts for the variation in backscattered power among individuals for the same blood volume due to different attenuation and backscattering coefficients.13 We calibrated power from the broad measuring beam encompassing the vena contracta using a narrow reference beam placed within the flow area (Figure 5Up).15 24 The reference beam provides the ratio between power and area because its CSA is known. We then applied this calibrating ratio to the power from the broad measuring beam to determine the CSA of flow within the beam. Ultrasound attenuation and backscattering coefficient are the same for both beams and cancel out, compensating for individual differences.

The power received from the measuring beam (PImeas), with its reduced transducer aperture, must be multiplied by a correction factor (CF) to compensate for the decrease in transmitted and received power compared with the reference (ref.) beam, which uses the full aperture:

or simply

where the calibrating factor ccal=(ref. beam CSA/PIref)xCF. This CF depends only on the physical properties of the transducer and can be determined in vitro as the ratio of PIref to PImeas for a small orifice (0.07 cm2) encompassed by both beams (CF: 7.7 in vivo, 63 in vitro).

Magnetic Resonance Imaging
MRSV was obtained as mitral inflow minus aortic outflow with a 1.5-T system (GE Signa). Phase contrast cine acquisitions were obtained in planes aligned with the mitral annulus and orthogonal to the mid ascending aorta.25 Phase velocity maps were integrated over the appropriate flow areas, integrated over time, and subtracted.

3D Echocardiography
In the second patient group, LV volumes were calculated with a polyhedral surfacing algorithm26 from reconstructed endocardial borders in 10 rotated apical views collected with a transthoracic Omniplane probe (Hewlett-Packard) with ECG and respiratory gating.

Statistical Analysis
Doppler power results (PI, PVI, and PVTI) were compared with reference values (CSA, flow rate, and volume) by linear regression. Agreement was assessed by plotting differences against reference values (or, in patients, the mean of calculated and reference values),27 comparing mean differences with zero by t test.


*    Results
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up arrowAbstract
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*Results
down arrowDiscussion
down arrowReferences
 
In Vitro Studies
The PI was linearly proportional to regurgitant orifice area (ROA) up to and including 0.5 cm2 (Figure 6ADown, left-hand axis, r=0.99); the area of 0.8 cm2, which is clinically extreme,28 was incompletely assessed with current beam size and was not included in the regression. With dual-beam calibration of PI to ROA (ccal=8.9x10-4, right-hand axis), regression gave y=0.84x+0.01cm2, SEE=0.01cm2, with good agreement between calculated and actual ROA <0.8 cm2 (FigureUp 6B; mean difference=-0.04±0.03 cm2, P<0.0001); slight underestimation was evident at 0.2 and 0.5 cm2, as expected for Doppler (effective) versus anatomic orifice area.29 Figure 6CDown shows that the narrow reference beam fit within all the orifices used and therefore returned the same power regardless of orifice area and flow rate over 32 combinations studied.



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Figure 6. A and B, In vitro results for PI and calculated ROA values vs actual ROA. C, Constant PI value from reference beam needed for calibration.

For the 0.07-, 0.2-, and 0.5-cm2 orifices, steady flow rates calculated from PVI correlated and agreed well with actual values (Figure 7Down; y=0.95x+0.21 mL/s, SEE=2.5 mL/s), with a mean difference of -1.6±2.5 mL/s (P=0.001 versus 0); as before, there was underestimation for the 0.8-cm2 orifice. Similar correlations and agreement were observed for the 72 pulsatile stroke volumes studied (Figure 8Down; y=0.92x+1.3 mL, SEE=2.6 mL, mean difference=-2.44±2.9 mL, P<0.0001).



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Figure 7. In vitro results for PVI and calculated flow rate (Q) vs actual flow rate.



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Figure 8. In vitro results for PVTI and calculated RSV vs actual RSV.

The results, for example, showed that the PI remained virtually constant (1.5x104 to 1.6x104 in unitless values) for a constant ROA of 0.2 cm2 as flow rate varied from 20 to 40 and 60 mL/s; conversely, the PVI increased from 1.8x106 to 3.6x106 to 5.3x106 in proportion to flow rate.

In Vivo Experimental Studies
Calculated MR stroke volume correlated and agreed well with directly measured values of 4 to 21 mL (Figure 9Down; y=0.98x+0.28 mL, r=0.98, SEE=0.89 mL, mean difference=0.04±0.87 mL, P=0.79 versus 0). Because Ref. Beam CSA was known and CF was determined in vitro, only reference and measuring beam powers needed to be measured in vivo to obtain absolute flow values.



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Figure 9. In vivo experimental results for calculated vs directly measured MRSV values.

Patient Studies
In all patients, a satisfactory high-velocity narrow-spectrum Doppler signal could be recorded. In the primary 12 patients studied by MRI, calculated regurgitant stroke volume correlated and agreed well with MRI values (Figure 10Down; r=0.98, y=0.70x+3.5 mL, SEE=2.4 mL, mean error=-3.6±5.1 mL, P=0.03); calculated values, in fact, lay close to the line of identity for regurgitant stroke volumes up to 40 mL (r=0.99, y=0.87x+1.2 mL, SEE=1.3 mL, mean error=-1.0±1.8 mL, P=0.13 [P=NS versus 0]), with mild underestimation only at higher values (ROA>0.5 cm2), consistent with the mild potential underestimation due to currently limited beam size, as shown in vitro (Figures 6 to 8UpUpUp). Results were comparable when the secondary patient group (MRSV from LV ejection volume minus aortic forward flow) was added (n=23; r=0.98, y=0.71x+3.5 mL, SEE=1.9 mL, mean error=-2.8±4.4 mL, P=0.01); for MRSV up to 40 mL (ROA<0.5 cm2), values lay close to the line of identity (n=19, r=0.97, y=0.81x+2.1 mL, SEE=1.6 mL, mean error=-1.1±2.2 mL, P=0.05). Figure 11Down (top) shows an example of the high-velocity spectral recording in a patient.



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Figure 10. Patient study results for calculated vs MRI MRSV values, with Bland-Altman analysis.



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Figure 11. Practical application of PVI approach. Bottom left, Displayed vena contracta Doppler spectra in a patient with functional MR, showing a midsystolic decrease in PI, as described for functional MR orifice area variations.8


*    Discussion
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up arrowAbstract
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up arrowMethods
up arrowResults
*Discussion
down arrowReferences
 
Many noninvasive ultrasound measures of regurgitant volume are limited by indirect measurements,30 31 multiple steps prone to error,7 32 and limiting assumptions about regurgitant flows.3 4 33 34 35 To overcome these limitations, we introduced the new concept of integrating Doppler power times velocity at the proximal vena contracta, directly measuring regurgitant flow at the lesion itself. The results demonstrate that at the vena contracta, where flow is laminar before entrainment, jet CSA is linearly proportional to the Doppler PI, regurgitant flow rate to the PVI, and regurgitant stroke volume to the power-velocity time integral. A dual-beam approach compensates, in each individual studied, for attenuation and variations in hematocrit, providing clinically useful absolute values.

This approach has the major advantage of integrating the contribution of scatterers at all velocities within the vena contracta without simplifying assumptions about its shape or velocity distribution. It also simplifies measurement by obviating the need to measure CSA by 2D echo. Unlike other, single-time-point methods, power-velocity directly assesses and integrates dynamic variations in ROA and flow rate, as shown in Figure 11Up, bottom left: a patient with a dilated LV shows the characteristic midsystolic decrease in ROA described in such patients,8 and this variation is automatically incorporated into the PVI to give flow rate and volume. Finally, this approach should be relatively immune to variations in the Doppler beam–to-flow angle {theta}: the cos {theta} decrease in measured velocity is canceled by a reciprocal increase in CSA relative to the beam, and any variations in attenuation with angle are dealt with by the dual-beam calibration (T.B., unpublished data, 1999).

Previous Work
Previous studies used backscattered power to average amplitude-weighted velocities over a CSA, multiplying by area to estimate flow.22 36 37 38 39 Other studies used the PVI but only in low-velocity laminar flows, precluding direct assessment of regurgitation.24 40 Continuous-wave Doppler studies of the entire regurgitant jet, including turbulent and entrained flow, demonstrated highly variable relations between regurgitant volume and signal intensity.41 42 43 The present approach, in contrast, examines only the laminar vena contracta to evaluate regurgitant flow most directly.

Current Limitations and Future Application
Although the technique requires some understanding of flow through a restrictive orifice, this is similarly required for application of the simplified Bernoulli equation, part of routine clinical practice. This approach simplifies the measurement process because no separate 2D echo measure of CSA is required, and dynamic variations in ROA are incorporated automatically. The approach lends itself to the simplified application we envision in Figure 11Up: First, the Doppler sample volume is placed just beyond the regurgitant orifice, which can be guided by visualizing the narrowest point of the jet by use of Doppler color flow mapping; the narrowest high-velocity signal is then optimized. This requires skills comparable to those for localizing the highest jet velocities for the simplified Bernoulli equation, which sonographers routinely do. Second, the spectrum can be analyzed automatically on board the machine itself, without the offline analyses we performed with the available system: power within the high-velocity Doppler spectrum can be directly extracted before conversion to display intensities to calculate PI, PVI, and PVTI and output regurgitant area, flow rate, and volume.

Although we had to vary transducer apertures manually to provide measuring and calibrating beams, that can be achieved more easily with electronic aperture variation. Indeed, both beams can in principle be generated simultaneously by connecting the transducer elements to 2 independent digital beam-forming processors, providing measurement and calibration in a single cardiac cycle. Also, because calibration, for a given patient and depth, relates power to the CSA of moving blood independent of velocity, the calibration beam can be formed only in diastole, with the measuring beam in systole (T.B., unpublished data, 1999).

The main limitation, then, would be that currently available beams are not wide enough to sample the most severe regurgitant jets (>0.5 cm2); however, that reflects current basic transducer design, which optimizes spatial resolution and can be remedied with newer transducers under development.

It should be emphasized that although calibration corrects for attenuation and backscattering coefficient for each patient, the correction factor relating calibrating and measuring beam power on the basis of their different apertures is fundamentally a physical result of transducer design and therefore needs to be determined only by the manufacturer in vitro for each system design, not for each patient. Our results support this, because 1 aperture-correction factor provided consistent agreement between power-velocity and actual values across several animals, with similar results for the transducer apertures and correction factor used across multiple patients.

Finally, although this approach was tested in MR, it should potentially be applicable to a wide range of regurgitant, stenotic, and shunt lesions.

Conclusions and Clinical Implications
The integral of Doppler power times velocity at the regurgitant vena contracta is a new, noninvasive approach that for the first time accurately measures regurgitant flow directly at the lesion itself. Because only information contained in the Doppler spectrum itself is required, this approach can potentially be readily automated for future routine clinical application. Such quantification would improve our evaluation of lesion severity and progression to guide patient interventions and test their ability to preserve ventricular function.


*    Acknowledgments
 
This study was supported in part by grants HL-38176 and HL-57302, National Institutes of Health, Bethesda, Md. Dr Buck was supported by grant Bu1097/1-1, Deutsche Forschungsgemeinschaft, Bonn, Germany. The Mark IV Powerinjector was provided by Geoff A. Morris, Medrad, Inc, Indianola, Pa. We thank Randall Grimes, MD, PhD, for his invaluable fluid dynamics comments and Iain D. Wright and Arnold J. George (Biomedical Engineering) for constructing the flow model.

Received December 31, 1999; revision received March 23, 2000; accepted March 29, 2000.


*    References
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up arrowAbstract
up arrowIntroduction
up arrowMethods
up arrowResults
up arrowDiscussion
*References
 

  1. Eckberg DL, Gault JH, Bouchard RL, et al. Mechanics of left ventricular contraction in chronic severe mitral regurgitation. Circulation. 1973;47:1252–1259.[Abstract/Free Full Text]
  2. Carabello BA. What exactly is 2+ to 3+ mitral regurgitation? J Am Coll Cardiol. 1992;19:339–340.[Medline] [Order article via Infotrieve]
  3. Recusani F, Bargiggia GS, Yoganathan AP, et al. A new method for quantification of regurgitant flow rate using color flow imaging of the flow convergence region proximal to a discrete orifice: an vitro study. Circulation. 1991;83:594–604.[Abstract/Free Full Text]
  4. Utsunomiya T, Ogawa T, Doshi R, et al. Doppler color flow "proximal isovelocity surface area": method for estimating volume flow rate: effects of orifice shape and machine factors. J Am Coll Cardiol. 1991;17:1103–1111.[Abstract]
  5. Mele D, Vandervoort PM, Palacios IF, et al. Proximal jet size by Doppler color flow mapping predicts severity of mitral regurgitation: clinical studies. Circulation. 1995;91:746–754.[Abstract/Free Full Text]
  6. Hall SA, Brickner ME, Willett DL, et al. Assessment of mitral regurgitation severity by Doppler color flow mapping of the vena contracta. Circulation. 1997;95:636–642.[Abstract/Free Full Text]
  7. Enriquez-Sarano M, Bailey KR, Seward JB, et al. Quantitative Doppler assessment of valvular regurgitation. Circulation. 1993;87:841–848.[Abstract/Free Full Text]
  8. Schwammenthal E, Chen C, Benning E, et al. Dynamics of mitral regurgitant flow and orifice area: physiologic application of the proximal flow convergence method. Circulation. 1994;90:307–322.[Abstract/Free Full Text]
  9. Enriquez-Sarano M, Sinak LJ, Tajik AJ, et al. Changes in effective regurgitant orifice throughout systole in patients with mitral valve prolapse: a clinical study using the proximal isovelocity surface area method. Circulation. 1995;92:2591–2598.
  10. Sigelmann RA, Reid JM. Analysis and measurement of ultrasound backscattering from an ensemble of scatterers excited by sine-wave bursts. J Acoust Soc Am. 1973;53:1351–1355.
  11. Angelsen BAJ. A theoretical study of the scattering of ultrasound from blood. IEEE Trans Biomed Eng. 1980;27:61–67.[Medline] [Order article via Infotrieve]
  12. Mo L, Cobbold R. A unified approach to modeling the backscattered Doppler ultrasound from blood. IEEE Trans Biomed Eng. 1992;39:450–461.[Medline] [Order article via Infotrieve]
  13. Shung KK, Cloutier G, Lim CC. The effects of hematocrit, shear rate, and turbulence on ultrasonic Doppler spectrum from blood. IEEE Trans Biomed Eng. 1992;39:462–469.[Medline] [Order article via Infotrieve]
  14. Brody WR, Meindl JD. Theoretical analysis of the CW Doppler ultrasound flowmeter. IEEE Trans Biomed Eng. 1974;21:183–192.[Medline] [Order article via Infotrieve]
  15. Hottinger CF, Meindl JD. Blood flow measurement using the attenuation compensated volume flowmeter. Ultrasonic Imaging. 1979;1:1–15.[Medline] [Order article via Infotrieve]
  16. Shung KK, Yuan YW, Fei DY. Effect of flow disturbance on backscatter from blood. J Acoust Soc Am. 1984;75:1265–1272.[Medline] [Order article via Infotrieve]
  17. Yoganathan AP, Cape EG, Sung HW, et al. Review of hydro-dynamic principles for the cardiologist: applications to the study of blood flow and jets by imaging techniques. J Am Coll Cardiol. 1988;12:1344–1353.[Abstract]
  18. Thomas JD, Liu CM, Flachskampf FA, et al. Quantification of jet flow by momentum analysis: an in vitro color Doppler flow study. Circulation. 1990;81:247–259.[Abstract/Free Full Text]
  19. Grayburn PA, Wolfgang F, Omran H, et al. Multiplane transesophageal echocardiographic assessment of mitral regurgitation by Doppler color flow mapping of the vena contracta. Am J Cardiol. 1994;74:912–917.[Medline] [Order article via Infotrieve]
  20. Boote EJ, Zagzebski JA. Performance tests of Doppler ultrasound equipment with a tissue and blood-mimicking phantom. J Ultrasound Med. 1988;7:137–147.[Abstract]
  21. Dent JM, Jayaweera AR, Glasheen WP, et al. A mathematical model for the quantification of mitral regurgitation: experimental validation in the canine model using contrast echocardiography. Circulation. 1992;86:553–562.[Abstract/Free Full Text]
  22. Jenni R, Ritter M, Eberli F, et al. Quantification of mitral regurgitation with amplitude-weighted mean velocity from continuous wave Doppler spectra. Circulation. 1989;79:1294–1299.[Abstract/Free Full Text]
  23. Hansen RC. Microwave Scanning Antennas. New York, NY: Academic Press; 1966.
  24. Looyenga DS, Liebson PR, Bone RC, et al. Determination of cardiac output in critically ill patients by dual beam Doppler echocardiography. J Am Coll Cardiol. 1989;13:340–347.[Abstract]
  25. Fujita N, Chazouilleres AF, Hartiala JJ, et al. Quantification of mitral regurgitation by velocity-encoded cine nuclear magnetic resonance imaging. J Am Coll Cardiol. 1994;23:951–958.[Abstract]
  26. Handschumacher MD, Lethor JP, Siu SC, et al. A new integrated system for three-dimensional echocardiographic reconstruction: development and validation for ventricular volume with application in human subjects. J Am Coll Cardiol. 1993;21:743–753.[Abstract]
  27. Bland JM, Altman DG. Statistical methods for assessing agreement between two methods of clinical measurements. Lancet. 1986;1:307–310.[Medline] [Order article via Infotrieve]
  28. Enriquez-Sarano M, Seward JB, Bailey KR, et al. Effective regurgitant orifice area: a noninvasive Doppler development of an old hemodynamic concept. J Am Coll Cardiol. 1994;23:443–451.[Abstract]
  29. Daugherty RL, Franzini JB. Fluid Mechanics With Engineering Applications. New York, NY: McGraw-Hill; 1977.
  30. Cape EG, Yoganathan AP, Weyman AE, et al. Adjacent solid boundaries alter the size of regurgitant jets on Doppler color flow maps. J Am Coll Cardiol. 1991;17:1094–1102.[Abstract]
  31. Hoit BD, Jones M, Eidbo EE, et al. Sources of variability for Doppler color flow mapping of regurgitant jets in an animal model of mitral regurgitation. J Am Coll Cardiol. 1989;13:106–115.
  32. Rokey R, Sterling LL, Zoghbi WA, et al. Determination of regurgitant fraction in isolated mitral or aortic regurgitation by pulsed Doppler two-dimensional echocardiography. J Am Coll Cardiol. 1986;7:1273–1278.[Abstract]
  33. Zhang J, Jones M, Shanees R, et al. Accuracy of flow convergence estimates of mitral regurgitant flow rates obtained by use of multiple color flow Doppler M-mode aliasing boundaries: an experimental animal study. Am Heart J. 1993;125:449–458.[Medline] [Order article via Infotrieve]
  34. Schwammenthal E, Chen C, Giesler M, et al. New method for accurate calculation of regurgitant flow rate based on analysis of Doppler color flow maps of the proximal flow field. J Am Coll Cardiol. 1996;27:161–172.[Abstract]
  35. Barclay SA, Eidenvall L, Karlson M, et al. The shape of the proximal isovelocity surface area varies with regurgitant orifice size and distance from orifice: computer simulation and model experiments with color M-mode technique. J Am Soc Echocardiogr. 1993;6:433–445.[Medline] [Order article via Infotrieve]
  36. Hoppeler H, Jenni R, Ritter M, et al. Quantification of aortic regurgitation with amplitude-weighted mean flow velocity from continuous wave Doppler spectra. J Am Coll Cardiol. 1990;15:1305–1309.[Abstract]
  37. Enriquez-Sarano M, Kaneshige AM, Tajik AJ, et al. Amplitude-weighted mean velocity: clinical utilization for quantification of mitral regurgitation. J Am Coll Cardiol. 1993;22:1684–1690.[Abstract]
  38. Minich LL, Tani LY, Pantalos GM. In vitro evaluation of forward and reverse volumetric flow across a regurgitant aortic valve using Doppler power-weighted mean velocities. J Am Soc Echocardiogr. 1997;10:623–631.[Medline] [Order article via Infotrieve]
  39. Minich LL, Snider R, Meliones JN, et al. In vitro evaluation of volumetric flow from Doppler power-weighted and amplitude-weighted mean velocities. J Am Soc Echocardiogr. 1993;6:227–236.[Medline] [Order article via Infotrieve]
  40. Tacy TA, Snider R, Vermilion RP. In vitro analysis of regurgitant fraction using Doppler power-weighted sum of velocities. J Am Soc Echocardiogr. 1998;11:266–273.[Medline] [Order article via Infotrieve]
  41. Bolger AF, Eidenvall L, Ask P, et al. Understanding continuous-wave Doppler signal intensity as a measure of regurgitant severity. J Am Soc Echocardiogr. 1997;10:613–622.[Medline] [Order article via Infotrieve]
  42. Utsunomiya T, Patel D, Doshi R, et al. Can signal intensity of the continuous wave Doppler regurgitant jet estimate severity of mitral regurgitation? Am Heart J. 1992;123:166–171.[Medline] [Order article via Infotrieve]
  43. MacIsaac AI, McDonald IG, Kirsner RLG, et al. Quantification of mitral regurgitation by integrated Doppler backscatter power. J Am Coll Cardiol. 1994;24:690–695.[Abstract]



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