Three-Dimensional cardiac motion estimation based on non-rigid image registration using a novel transformation model adapted to the heart

Authors:
Brecht Heyde;Daniel Barbosa;Piet Claus;Frederik Maes;Jan D'hooge
Affiliations:
Cardiovascular Imaging and Dynamics, University of Leuven, Leuven, Belgium;Cardiovascular Imaging and Dynamics, University of Leuven, Leuven, Belgium;Cardiovascular Imaging and Dynamics, University of Leuven, Leuven, Belgium;Medical Image Computing, University of Leuven, Leuven, Belgium;Cardiovascular Imaging and Dynamics, University of Leuven, Leuven, Belgium,Medical Imaging Lab, Norwegian Institute for Science & Technology, Trondheim, Norway
Venue:
STACOM'12 Proceedings of the third international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
Year:
2012

Citing 2
Cited 2

A limited memory algorithm for bound constrained optimization

SIAM Journal on Scientific Computing
Fast parametric elastic image registration

IEEE Transactions on Image Processing

Fast left ventricle tracking in 3D echocardiographic data using anatomical affine optical flow

FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart
Influence of the grid topology of free-form deformation models on the performance of 3D strain estimation in echocardiography

FIMH'13 Proceedings of the 7th international conference on Functional Imaging and Modeling of the Heart

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a novel method for tracking myocardial motion from volumetric ultrasound data based on non-rigid image registration using an anatomical free-form deformation model. Traditionally, the B-spline control points of such a model are defined on a rectangular grid in Cartesian space. This arrangement may be suboptimal as it treats the blood pool and myocardium similarly and as it enforces spatial smoothness in non-physiological directions. In this work, the basis functions are locally oriented along the radial, longitudinal and circumferential direction of the endocardium. This formulation allows us to model the left ventricular motion more naturally. We obtained encouraging accuracy results for the simulated models, with average errors of 0.8±0.6mm (10% relatively) and 0.5±0.4mm (15% relatively) compared to the ground truth in high and low contractility models respectively.