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

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

• Type: Conference
• Year: 2004
• Where: MICCAI
• Authors: Boudewijn J. Krenning, Charles T. Lancée, Gerard van Burken, Johan G. Bosch, Johan H. C. Reiber, Marco M. Voormolen, Marijn van Stralen, Nico de Jong
• Keywords: Border Detection Method, Cardiac Ultrasound Data, Medical Imaging, MICCAI 2004, Minimal User Interaction