Three-dimensional myocardial strain estimation from volumetric ultrasound data using a novel transformation model adapted to the heart

We previously demonstrated that 3D cardiac strain estimation using non-rigid registration based on a B-spline freeform deformation model (FFD) is feasible. However, the traditional arrangement of the B-spline control points on a Cartesian grid (CFFD) may be suboptimal for cardiac applications as it treats the blood pool and myocardium similarly and as it enforces smoothness in non-physiologic directions. The aim of this study was therefore to overcome these limitations by proposing a novel anatomical FFD (AFFD) adapted to the heart and test its performance experimentally. Volumetric data was recorded in gel phantoms and in 5 sheep. Reference radial (ϵRR), longitudinal (ϵLL) and circumferential strain (ϵCC) were obtained using sonomicrometry. The strain range was modulated by increasing the stroke volume (phantoms; 25-150ml) or by (pharmacological/surgical) inotropic modulation (sheep). Correlation coefficients for ϵRR, ϵLL and ϵCC were 0.98, 0.62 and 0.94 respectively in the phantom data and 0.87, 0.65 and 0.74 respectively in the sheep data. Moreover, the shape of the strain curves, timing of peak values and location of dysfunctional regions were recovered well. Further validation and its comparison to the CFFD model is the topic of ongoing research.

[1]  Hon Fai Choi,et al.  Regional cardiac motion and strain estimation in three-dimensional echocardiography: a validation study in thick-walled univentricular phantoms , 2012, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[2]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[3]  Michael Unser,et al.  Fast parametric elastic image registration , 2003, IEEE Trans. Image Process..

[4]  P. Wouters,et al.  Three-dimensional myocardial strain estimation from volumetric ultrasound: Experimental validation in an animal model , 2011, 2011 IEEE International Ultrasonics Symposium.

[5]  Thomas S. Denney,et al.  Three-dimensional myocardial strain reconstruction from tagged MRI using a cylindrical B-spline model , 2004, IEEE Transactions on Medical Imaging.

[6]  Alejandro F. Frangi,et al.  Temporal diffeomorphic free-form deformation: Application to motion and strain estimation from 3D echocardiography , 2012, Medical Image Anal..

[7]  James S. Duncan,et al.  Generalized robust point matching using an extended free-form deformation model: application to cardiac images , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[8]  Tomoko Ishizu,et al.  Validation of 3-Dimensional Speckle Tracking Imaging to Quantify Regional Myocardial Deformation , 2009, Circulation. Cardiovascular imaging.

[9]  Paul Suetens,et al.  Three-Dimensional Cardiac Strain Estimation Using Spatio–Temporal Elastic Registration of Ultrasound Images: A Feasibility Study , 2008, IEEE Transactions on Medical Imaging.

[10]  T. Denney,et al.  Left ventricular motion reconstruction with a prolate spheroidal B-spline model , 2006, Physics in medicine and biology.