### Abstract

A material identification algorithm is described for determining in vivo material properties of diastolic myocardium. A nonlinear optimization algorithm is employed to solve a least squares objective function. The objective function relates the least squares difference of model-predicted strains obtained from a finite element (FE) solution to measured strains obtained in the in vivo case from magnetic resonance imaging radiofrequency tissue-tagging. The algorithm is validated using a three-dimensional, nonlinear, anisotropic FE model by examining the effects of noise in the measured data on a priori given parameter solutions.

Original language | English (US) |
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Pages | 33-34 |

Number of pages | 2 |

State | Published - Dec 1 1995 |

Event | Proceedings of the 1995 ASME International Mechanical Congress and Exposition - San Francisco, CA, USA Duration: Nov 12 1995 → Nov 17 1995 |

### Other

Other | Proceedings of the 1995 ASME International Mechanical Congress and Exposition |
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City | San Francisco, CA, USA |

Period | 11/12/95 → 11/17/95 |

### Fingerprint

### ASJC Scopus subject areas

- Engineering(all)

### Cite this

*Validation of an inverse parameter estimation algorithm for determining material properties of passive myocardium*. 33-34. Paper presented at Proceedings of the 1995 ASME International Mechanical Congress and Exposition, San Francisco, CA, USA, .

**Validation of an inverse parameter estimation algorithm for determining material properties of passive myocardium.** / Moulton, Michael J; Guccione, Julius M.; Okamoto, Ruth J.; Pasque, Michael K.

Research output: Contribution to conference › Paper

}

TY - CONF

T1 - Validation of an inverse parameter estimation algorithm for determining material properties of passive myocardium

AU - Moulton, Michael J

AU - Guccione, Julius M.

AU - Okamoto, Ruth J.

AU - Pasque, Michael K.

PY - 1995/12/1

Y1 - 1995/12/1

N2 - A material identification algorithm is described for determining in vivo material properties of diastolic myocardium. A nonlinear optimization algorithm is employed to solve a least squares objective function. The objective function relates the least squares difference of model-predicted strains obtained from a finite element (FE) solution to measured strains obtained in the in vivo case from magnetic resonance imaging radiofrequency tissue-tagging. The algorithm is validated using a three-dimensional, nonlinear, anisotropic FE model by examining the effects of noise in the measured data on a priori given parameter solutions.

AB - A material identification algorithm is described for determining in vivo material properties of diastolic myocardium. A nonlinear optimization algorithm is employed to solve a least squares objective function. The objective function relates the least squares difference of model-predicted strains obtained from a finite element (FE) solution to measured strains obtained in the in vivo case from magnetic resonance imaging radiofrequency tissue-tagging. The algorithm is validated using a three-dimensional, nonlinear, anisotropic FE model by examining the effects of noise in the measured data on a priori given parameter solutions.

UR - http://www.scopus.com/inward/record.url?scp=0029425455&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0029425455&partnerID=8YFLogxK

M3 - Paper

SP - 33

EP - 34

ER -