A Semi-automatic Endocardial Border Detection Method for 4D Ultrasound Data

摘要

We propose a semi-automatic endocardial border detection method for 3D+T cardiac ultrasound data based on pattern matching and dynamic programming, operating on 2D slices of the 3D+T data, for the estimation of LV volume, with minimal user interaction. It shows good correlations with MRI ED and ES volumes (r=0.938) and low interobserver variability (y=1.005x-16.7, r=0.943) over full-cycle volume estimations. It shows a high consistency in tracking the user-defined initial borders over space and time.