Analysis of Radiofrequency Ultrasound Signals

Abstract

IVUS opened new perspectives in our understanding of human coronary atherosclerosis and triggers of ACS (especially plaque rupture as its most dominant cause). Throughout this chapter we list the shortcomings of conventional (greyscale) IVUS to characterize tissue components of plaques and the potentials of radiofrequency signal processing to overcome these. In recent years, the technology matured, and especially with VH and IB-IVUS, many clinical studies showed accurate plaque estimation. Results of a prospective, natural history study have just been presented and proved the ability of VH to predict ACS. Palpography derives compositional information from functional (strain) measurements. Assessing several characteristics of a given plaque could potentially enhance invasive risk stratification by identifying very high-risk plaques, thereby reducing the number of vulnerable plaques that need to be serially followed and ultimately treated. Moreover, if a safe prophylactic local treatment was available, a sophisticated IVUS procedure would be a part of a “one-stop-shop” in preventive cardiology.