title: Automated contour detection and acoustic quantification.
abstract: Echocardiographic left and right ventricular sequences are usually interpreted visually, but current quantitation techniques have been found to be tedious, time-consuming and associated with significant inter- and intra-observer variabilities. In an attempt to eliminate these problems, we have developed the Echocardiographic Analysis System (EAS) which uses robust automated border detection techniques both for single frames as well as for sequences. Comparison of LV cross-sectional area with the semi-automated border detection (AUTO) and those assessed from manual tracings (MAN) yielded a systematic difference (MAN-AUTO) of -6.6% (p < 0.001), and a random difference (standard deviation of paired signed differences) of 11.8%. Current developments are directed towards real-time automated border detection with an Accelerator board, integration of Acoustic Quantification (AQ) data as edge information into EAS, and intravascular echocardiographic applications.
authors: Department of Diagnostic Radiology, Leiden University Hospital, The Netherlands.
authors: J G
authors: JG
authors: Bosch
authors: J H
authors: JH
authors: Reiber
authors: G
authors: G
authors: van Burken
authors: L
authors: L
authors: Savalle
authors: E
authors: E
authors: Maurincomme
authors: W A
authors: WA
authors: Helbing
mesh_terms: D003201:Computers; D003327:Coronary Disease / Q000000981:diagnostic imaging*; D004452:Echocardiography; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D006801:Humans