### Abstract

A method is developed and validated for approximating continuous smooth distributions of finite strains in the ventricles from the deformations of magnetic resonance imaging (MRI) tissue tagging 'tag lines' or 'tag surfaces.' Tag lines and intersections of orthogonal tag lines are determined using a semiautomated algorithm. Three-dimensional (3-D) reconstruction of the displacement field on tag surfaces is performed using two orthogonal sets of MRI images and employing spline surface interpolation. The 3-D regional ventricular wall strains are computed from an initial reference image to a deformed image in diastole or systole by defining a mapping or transformation of space between the two states. The resultant mapping is termed the measurement analysis solution and is defined by determining a set of coefficients for the approximating functions that best fit the measured tag surface displacements. Validation of the method is performed by simulating tag line or surface deformations with a finite element (FE) elasticity solution of the heart and incorporating the measured root-mean-square (rms) errors of tag line detection into the simulations. The FE-computed strains are compared with strains calculated by the proposed procedure. The average difference between two-dimensional (2-D) FE-computed strains and strains calculated by the measurement analysis was 0.022 ± 0.009 or 14.2 ± 3.6% of the average FE elasticity strain solution. The 3-D displacement reconstruction errors averaged 0.087 ± 0.002 mm or 2.4 ± 0.1% of the average FE solution, and 3-D strain fitting errors averaged 0.024 ± 0.011 or 15.9 ± 2.8% of the average 3-D FE elasticity solution. When the rms errors in tag line detection were included in the 2-D simulations, the agreement between FE solution and fitted solution was 24.7% for the 2-D simulations and 19.2% for the 3-D simulations. We conclude that the 3-D displacements of MRI tag lines may be reconstructed accurately; however, the strain solution magnifies the small errors in locating tag lines and reconstructing 3-D displacements.

Original language | English (US) |
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Pages (from-to) | H281-H297 |

Journal | American Journal of Physiology - Heart and Circulatory Physiology |

Volume | 270 |

Issue number | 1 39-1 |

State | Published - Feb 26 1996 |

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### Keywords

- cardiac mechanics
- magnetic resonance imaging tissue tagging
- mathematical modeling

### ASJC Scopus subject areas

- Physiology
- Cardiology and Cardiovascular Medicine
- Physiology (medical)

### Cite this

*American Journal of Physiology - Heart and Circulatory Physiology*,

*270*(1 39-1), H281-H297.