Elsevier

Journal of Biomechanics

Volume 41, Issue 16, 5 December 2008, Pages 3314-3321
Journal of Biomechanics

Wave intensity amplification and attenuation in non-linear flow: Implications for the calculation of local reflection coefficients

https://doi.org/10.1016/j.jbiomech.2008.10.002Get rights and content

Abstract

Local reflection coefficients (R) provide important insights into the influence of wave reflection on vascular haemodynamics. Using the relatively new time-domain method of wave intensity analysis, R has been calculated as the ratio of the peak intensities (RPI) or areas (RCI) of incident and reflected waves, or as the ratio of the changes in pressure caused by these waves (RΔP). While these methods have not yet been compared, it is likely that elastic non-linearities present in large arteries will lead to changes in the size of waves as they propagate and thus errors in the calculation of RPI and RCI. To test this proposition, RPI, RCI and RΔP were calculated in a non-linear computer model of a single vessel with various degrees of elastic non-linearity, determined by wave speed and pulse amplitudeP+), and a terminal admittance to produce reflections. Results obtained from this model demonstrated that under linear flow conditions (i.e. as ΔP+→0), RΔP is equivalent to the square-root of RPI and RCI (denoted by RPIp and RCIp). However for non-linear flow, pressure-increasing (compression) waves undergo amplification while pressure-reducing (expansion) waves undergo attenuation as they propagate. Consequently, significant errors related to the degree of elastic non-linearity arise in RPI and RCI, and also RPIp and RCIp, with greater errors associated with larger reflections. Conversely, RΔP is unaffected by the degree of non-linearity and is thus more accurate than RPI and RCI.

Introduction

It has long been recognised that the pressure and flow waves generated during ventricular systole are partially reflected from the vasculature and that these reflections make a significant contribution to ventricular afterload and overall haemodynamics (Brin and Yin, 1984; O’Rourke and Kelly, 1993; Duan and Zamir, 1995; Koh et al., 1998; Penny et al., 2008). Moreover, accurate quantitation of the degree of wave reflection is important in view of the increasing use of indices based on this measure in the management of clinical conditions such as hypertension (Nichols et al., 2008; Weber et al., 2007). Wave intensity analysis (WIA) is a relatively new time-domain method for investigating wave propagation and reflection in the circulation (Parker and Jones, 1990; Jones et al., 2002). Wave intensity (WI) is defined as the product of the rates of change of pressure (P) and velocity (U), and thus a change in P and U is always associated with a ‘wave’. With knowledge of wave speed, the net WI profile can be separated into forward components arising from the heart and backward components originating from the circulation (Parker and Jones, 1990). Forward- and backward-travelling waves can be further classified as either ‘compression waves’ which cause pressure to increase or ‘expansion waves’ which cause pressure to decrease. Under normal conditions, the initial ventricular impulse produces a large forward compression wave (FCW) in early systole, which accelerates blood and increases pressure. Subsequently, a forward expansion wave (FEW) generated in late-systole reduces pressure and flow before valve closure (Parker et al., 1988; Penny et al., 2008). The FCW is often followed by a smaller backward compression (BCW) and/or a backward expansion wave (BEW), which arise from downstream reflection of FCW (Hollander et al., 2001; Khir et al., 2001; Khir and Parker, 2005; Zambanini et al., 2005; Penny et al., 2008).

The amount of wave reflection from a given reflection site can be quantified by calculation of a local reflection coefficient (R) (Latham et al., 1985; Greenwald et al., 1990; Khir and Parker, 2002; Segers et al., 2006). Three approaches have been employed for calculating R using WIA. The first uses the ratio of changes in pressure related to the forward (ΔP+) and backward (ΔP) waves (Khir and Parker, 2002), so thatRΔP=ΔP-ΔP+

With the remaining approaches, R is calculated directly from the wave magnitude, which can be quantified by peak WI (Jones et al., 1992, Jones et al., 2002; Bleasdale et al., 2003; Fujimoto et al., 2004; Khir and Parker, 2005; Penny et al., 2008; Smolich et al., 2008) or the wave area (termed ‘cumulative intensity’) (Davies et al., 2006; Penny et al., 2008; Smolich et al., 2008). Thus, R has been calculated from the ratio of the cumulative intensities of backward (CI) and forward (CI+) waves (Hollander et al., 2001; Hobson et al., 2007; Penny et al., 2008; Smolich et al., 2008):RCI=±|CT-|CI+

Alternatively, R has been obtained from the peak wave intensities of backward (PI) and forward waves (PI+) (Bleasdale et al., 2003) as follows:RPI=±|PI-|PI+

Note that the sign of both WI-derived reflection coefficients (RPI and RCI) is positive if the reflected wave is the same type as the incident wave (compression or expansion) and negative if they are different.

These methods for calculating R have never been compared, and it is not known whether they are equivalent. In addition, consideration of vascular properties suggests that calculation of R directly from WI profiles may itself be subject to error. Specifically, it is well-established that flow in large arteries, where WIA is usually performed, is non-linear due primarily to the pressure-dependant compliance of the arterial wall (Bodley, 1971; Raines et al., 1974; Stergiopulos et al., 1993; Mynard and Nithiarasu, 2008). These elastic non-linearities cause the early systolic rise in arterial pressure to steepen as the pulse propagates distally. Since WI is dependent on the rate of change of P and U, it would be expected that this steepening would alter the size of associated waves (Jones et al., 1992). However, any such alterations in wave magnitude during non-linear propagation between a measurement site and a reflection site will, in turn, affect the value of R derived from WI waveforms.

Accordingly, the aim of this study was to investigate the reliability of calculating R using the three available WIA approaches under various degrees of non-linearity. To achieve this, WIA was applied to a non-linear one-dimensional computer model of a single vessel, with the degree of elastic non-linearity varied by simulating a range of physiological input pulse amplitudes, wave speeds and vessel cross-sectional areas.

Section snippets

Computer model

The model (Fig. 1) consisted of a single vessel of length L=25 cm with uniform initial cross-sectional area (A0) and wave speed (c0), where the subscript indicates values at zero transmural pressure. The vessel terminates in an admittance (Yt) that produces a reflection coefficient Rt, according toRt=Y0-YtY0+Ytwith the characteristic admittance of the vessel defined asY0=1Z0=A0ρc0where Z0 is characteristic impedance and ρ is blood density (1.06 g/cm3). Reflection coefficients have limiting values

Linear flow

WIA applied to an example of quasi-linear flow with Rt=1 is shown in Fig. 3a. The input forward pressure produces two forward waves, an FCW followed by an FEW, which have the same size and duration. Both of these waves propagate along the vessel, are reflected completely at the terminal and return to x=0 as a BCW and BEW respectively.

In Fig. 4, results are shown for variations of Rt between −1 and 1. Note that the FCW is reflected as a BCW when Rt>0 and as a BEW when Rt<0, while the FEW is

Discussion

This is the first study to investigate the validity of reflection coefficients derived from WIA under various degrees of elastic non-linearity. Results of the computer model demonstrated that the two recently introduced WIA methods for calculating reflection coefficient, RPIp and RCIp, are distinct from RΔP in two respects. First, RPI and RCI are ‘power-type’ coefficients whereas RΔP is a ‘pressure-type’ coefficient, and the magnitude of a pressure-type coefficient is only comparable to the

Conflict of interest

None.

References (39)

  • J.E. Davies et al.

    Evidence of a dominant backward-propagating “suction” wave responsible for diastolic coronary filling in humans, attenuated in left ventricular hypertrophy

    Circulation

    (2006)
  • B. Duan et al.

    Pressure peaking in pulsatile flow through arterial tree structures

    Annals of Biomedical Engineering

    (1995)
  • S. Fujimoto et al.

    Clinical application of wave intensity for the treatment of essential hypertension

    Heart & Vessels

    (2004)
  • S.E. Greenwald et al.

    Effect of age on the in vitro reflection coefficient of the aortoiliac bifurcation in humans

    Circulation

    (1990)
  • T.N. Hobson et al.

    Wave intensity analysis of left atrial mechanics and energetics in anesthetized dogs

    American Journal of Physiology—Heart & Circulatory Physiology

    (2007)
  • E.H. Hollander et al.

    Negative wave reflections in pulmonary arteries

    American Journal of Physiology—Heart & Circulatory Physiology

    (2001)
  • C.J. Jones et al.

    “Wavefronts” in the aorta—implications for the mechanisms of left ventricular ejection and aortic valve closure

    Cardiovascular Research

    (1993)
  • C.J. Jones et al.

    Nonlinearity of human arterial pulse wave transmission

    Journal of Biomechanical Engineering

    (1992)
  • C.J. Jones et al.

    Compression and expansion wavefront travel in canine ascending aortic flow: wave intensity analysis

    Heart & Vessels

    (2002)
  • Cited by (0)

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