Regional heart motion abnormality detection via information measures and unscented Kalman filtering

• Published in: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 13; no. Pt 1; p. 409
• Main Authors: Punithakumar, Kumaradevan, Ben Ayed, Ismail, Islam, Ali, Ross, Ian G, Li, Shuo
• Format: Journal Article
• Language: English
• Published: Germany 2010
• Subjects: Algorithms; Artificial Intelligence; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Motion; Pattern Recognition, Automated - methods; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Ventricular Dysfunction, Left - diagnosis

This study investigates regional heart motion abnormality detection using various classifier features with Shannon's Differential Entropy (SDE). Rather than relying on elementary measurements or a fixed set of moments, the SDE measures global distribution information and, as such, has more disc...