title: New method of on-line quantification of regional wall motion with automated segmental motion analysis.
abstract: We have recently developed an automated segmental motion analysis (A-SMA) system, based on an automatic "blood-tissue interface" detection technique, to provide real-time and on-line objective echocardiographic segmental wall 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). Midpapillary parasternal short-axis and apical 2- and 4-chamber views were obtained to clearly trace the blood-tissue interface. The LV cavity was then divided into 6 wedge-shaped segments by A-SMA. The area of each segment was calculated 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 uniform FAC was observed in real time among 6 segments in the short-axis view (60% +/- 10% to 78% +/- 9%), or among 5 segments in either the 2-chamber (59% +/- 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-related 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.
authors.affiliation: Second Department of Internal Medicine, Yamaguchi University School of Medicine, Ube, Japan.
authors.forename: T
authors.initials: T
authors.lastname: Fujino
authors.forename: S
authors.initials: S
authors.lastname: Ono
authors.forename: K
authors.initials: K
authors.lastname: Murata
authors.forename: N
authors.initials: N
authors.lastname: Tanaka
authors.forename: T
authors.initials: T
authors.lastname: Tone
authors.forename: T
authors.initials: T
authors.lastname: Yamamura
authors.forename: Y
authors.initials: Y
authors.lastname: Tomochika
authors.forename: K
authors.initials: K
authors.lastname: Kimura
authors.forename: K
authors.initials: K
authors.lastname: Ueda
authors.forename: J
authors.initials: J
authors.lastname: Liu
authors.forename: Y
authors.initials: Y
authors.lastname: Wada
authors.forename: M
authors.initials: M
authors.lastname: Murashita
authors.forename: Y
authors.initials: Y
authors.lastname: Kondo
authors.forename: M
authors.initials: M
authors.lastname: Matsuzaki
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002311:Cardiomyopathy, Dilated / Q000000981:diagnostic imaging / Q000503:physiopathology; D004452:Echocardiography / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D009200:Myocardial Contraction; D009203:Myocardial Infarction / Q000000981:diagnostic imaging / Q000503:physiopathology; D009862:Online Systems; D015203:Reproducibility of Results; D016277:Ventricular Function, Left / Q000502:physiology*