Tracking endocardial border motion in ultrasonic images by using neural networks and ARIMA modelling techniques

• Published in: Proceedings of International Conference on Neural Networks (ICNN'96) Vol. 2; pp. 647 - 652 vol.2
• Main Authors: Perantonis, S.J., Karras, D.A.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 1996
• Subjects: Focusing; Heart; Image sequences; Informatics; Intelligent networks; Neural networks; Telecommunications; Telephony; Tracking; Ultrasonic imaging

The problem of tracking cardiac tissue motion in ultrasonic images is studied. This is a very important task in clinical analysis, since it could result in achieving better focusing of ultrasonic scanners and thus in improved diagnosis. Our study is focused on endocardial border motion and two metho...