Analysis of myocardial motion and strain patterns using a cylindrical B-spline transformation model

Authors:
Raghavendra Chandrashekara;Raad H. Mohiaddin;Daniel Rueckert
Affiliations:
Department of Computing, Imperial College of Science, Technology and Medicine, London, UK;Royal Brompton and Harefield NHS Trust, London, UK;Department of Computing, Imperial College of Science, Technology and Medicine, London, UK
Venue:
IS4TM'03 Proceedings of the 2003 international conference on Surgery simulation and soft tissue modeling
Year:
2003

Citing 3
Cited 4

Free-form deformation of solid geometric models

SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Snakes and Splines for Tracking Non-Rigid Heart Motion

ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Cardiac Motion Simulator for Tagged MRI

MMBIA '96 Proceedings of the 1996 Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA '96)

Maximum Likelihood Motion Estimation in 3D Echocardiography through Non-rigid Registration in Spherical Coordinates

FIMH '09 Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart
Evaluation of two free form deformation based motion estimators in cardiac and chest imaging

FIMH'05 Proceedings of the Third international conference on Functional Imaging and Modeling of the Heart
Quantification of growth and motion using non-rigid registration

CVAMIA'06 Proceedings of the Second ECCV international conference on Computer Vision Approaches to Medical Image Analysis
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 the motion of the myocardium in tagged magnetic resonance (MR) images of the heart using a nonrigid registration algorithm based on a cylindrical free-form deformation (FFD) model and the optimization of a cost function based on normalized mutual information (NMI). The new aspect of our work is that we use a FFD defined in a cylindrical rather than a Cartesian coordinate system. This models more closely the geometry and motion of the left ventricle (LV). Validation results using a cardiac motion simulator and tagged MR data from 6 normal volunteers are also presented.