New method of on-line quantification of regional wall motion with automated segmental motion analysis

We have recently developed an automated segmental motion analysis (A-SMA) s ystem, based on an automatic "blood-tissue interface" detection technique, to provide real-time and on-fine objective echocardiographic segmental waft motion analysis. To assess the feasibility of A-SMA in detecting regional left ventricular (LV) wall motion abnormalities, we performed 2-dimensional echocardiography with A-SMA in 13 healthy subjects, 22 patients with prior myocardial infarction (MI), and 9 with dilated cardiomyopathy (DCM). Midpa pillary parasternal short-axis and apical 2- and 4-chamber views were obtai ned to clearly trace the blood-tissue interface. The LV cavity was then div ided into 6 wedge-shaped segments by A-SMA. The area of each segment was ca lculated automatically throughout a cardiac cycle, and the area changes of each segment were displayed as bar graphs or time-area curves. The systolic fractional area change (FAC), peak ejection rate (PER), and filling rate ( PFR) were also calculated with the use of A-SMA. In the control group, a un iform FAC was observed in real time among 6 segments in the short-axi view (60% +/- 10% to 78% +/- 9%), or among 5 segments in either the 2-chamber (5 9% +/- 12% to 75% +/- 16%) or 4-chamber view (58% +/- 13% to 72% +/- 12%). The variations of FAC, PER, and PFR were obviously decreased in infarct-rel ated regions in the MI group and were globally decreased in the DCM group. We conclude that A-SMA is an objective and time-saving method for assessing regional wall motion abnormalities in real time. This method is a reliable new tool that provides on-line quantification of regional wall motion.