Effect of red cell clustering and anisotropy on ultrasound blood backscatter: a Monte Carlo study.
When flowing at a low shear rate, blood appears hyperechogenic on ultrasound B-scans. The formation of red blood cell (RBC) aggregates that also alters blood viscosity is the microscopic mechanism explaining this acoustical phenomenon. In this study, Monte Carlo simulations were performed to predict how RBC clustering increases ultrasound scattering by blood. A bidimensional Gibbs-Markov random point process parameterized by the adhesion energy epsilon and an anisotropy index nu was used to describe RBC positions for a hematocrit H = 40%. The frequency dependence of the backscattering coefficient chi(f) was computed using Born approximation. The backscattering coefficient chi0 at 5 MHz and the spectral slopes n(x) and n(y) (chi alpha f(nx) or f(ny)) measured, respectively, when the insonification is parallel and perpendicular with the RBC cluster axis were then extracted. Under isotropic conditions, chi0 increased up to 7 dB with epsilon and n(x) = n(y) decreased from 4.2 to 3.4. Under anisotropic conditions, the backscattering was stronger perpendicularly to aggregate axis, resulting in n(x) < n(y). The anisotropy in scattering appeared more pronounced when epsilon or nu increased. These two dimensional results generally predict that low-frequency blood backscatter is related to cluster dimension, and higher-frequency properties are affected by finer morphological features as anisotropy. This numerically establishes that ultrasound backscatter spectroscopy on a large frequency range is pertinent to characterize in situ hemorheology.
Savéry
David
D
Laboratory of Biorheology and Medical Ultrasonics, University of Montréal Hospital, Montreal, Québec, Canada. david.savery@philips.com
Cloutier
Guy
G
D000465:Algorithms; D000818:Animals; D016880:Anisotropy; D001769:Blood / Q000000981:diagnostic imaging*; D001783:Blood Flow Velocity / Q000502:physiology; D002449:Cell Aggregation / Q000502:physiology*; D003198:Computer Simulation; D004912:Erythrocytes / Q000000981:diagnostic imaging* / Q000502:physiology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008955:Models, Cardiovascular; D015233:Models, Statistical; D009010:Monte Carlo Method; D012542:Scattering, Radiation; D018608:Ultrasonography, Doppler / Q000379:methods*