Model based cardiac motion tracking using velocity encoded magnetic resonance imaging

Authors:
Erik Bergvall;Erik Hedström;Häkan Arheden;Gunnar Sparr
Affiliations:
Centre for Mathematical Sciences, Lund Institute of Technology, Lund, Sweden and Department of Clinical Physiology, Lund University Hospital, Lund, Sweden;Department of Clinical Physiology, Lund University Hospital, Lund, Sweden;Department of Clinical Physiology, Lund University Hospital, Lund, Sweden;Centre for Mathematical Sciences, Lund Institute of Technology, Lund, Sweden
Venue:
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Year:
2007

Citing 1
Cited 2

Principal Warps: Thin-Plate Splines and the Decomposition of Deformations

IEEE Transactions on Pattern Analysis and Machine Intelligence

Contractile Analysis with Kriging Based on MR Myocardial Velocity Imaging

MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Bilinear point distribution models for heart motion analysis

ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper deals with model based regularization of velocity encoded cardiac magnetic resonance images (MRI). We extend upon an existing spatiotemporal model of cardiac kinematics by considering data certainty and regularity of the model in order to improve its performance. The method was evaluated using a computer simulated phantom and using in vivo gridtag MRI as gold standard. We show, both quantitatively and qualitatively, that our modified model performs better than the original one.