Abstract #3136

Finite Element Digital Image Correlation for Cardiac Strain Analysis from 3D Whole-Heart Tagging

Martin Genet^1,2, Christian T Stoeck^3,4, Constantin von Deuster^3,4, Lik Chuan Lee⁵, Julius M Guccione⁶, and Sebastian Kozerke^3,4

¹École Polytechnique, Palaiseau, France, ²Institute for Biomedical Engineering, ETHZ, Zurich, Switzerland, ³KCL, London, United Kingdom, ⁴ETHZ, Zurich, Switzerland, ⁵MSU, East Lansing, MI, United States, ⁶UCSF, San Francisco, CA, United States

The objective of the present work was to develop, validate and analyze a finite element digital image correlation approach of extracting ventricular strain data from MR images, which can be applied to both 3D CSPAMM images and conventional multi-slice cine images. Cine and 3D CSPAMM data was acquired on a normal human volunteer, and analyzed. The proposed method provided similar circumferential strain data compared to already validated SinMod method. In contrast to strain mapping from cine images, strain mapping from 3D CSPAMM images captures ventricular twist and torsion in agreement with physiological values, and is less sensitive to image misregistration.

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