Neural network-based fully automated cardiac resting phase detection algorithm compared with manual detection in patients.

Background: A cardiac resting phase is used when performing free-breathing cardiac magnetic resonance examinations.

Purpose: The purpose of this study was to test a cardiac resting phase detection system based on neural networks in clinical practice.

Material And Methods: Four chamber-view cine images were obtained from 32 patients and analyzed.