### Abstract

A material identification algorithm is described for determining the in vivo material properties of the diastolic myocardium. A nonlinear optimization algorithm is used to solve a least squares objective function. The objective function relates the least squares difference of model-predicted displacements obtained from a finite element (FE) solution to measured displacements, obtained in the in vivo case from magnetic resonance imaging (MRI) radiofrequency (RF) tissue-tagging. The algorithm is validated using a simple analytic test case by examining the effects of noise in the measured data and numerical error in the FE solution. Non-homogeneous, linearly elastic and isotropic materials parameters are determined for a normal adult mongrel dog.

Original language | English (US) |
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Title of host publication | Proceedings of the Annual Conference on Engineering in Medicine and Biology |

Editors | Andrew Y.J. Szeto, Rangaraj M. Rangayyan |

Publisher | Publ by IEEE |

Pages | 901-902 |

Number of pages | 2 |

Edition | pt 2 |

ISBN (Print) | 0780313771 |

State | Published - Dec 1 1993 |

Event | Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 3) - San Diego, CA, USA Duration: Oct 28 1993 → Oct 31 1993 |

### Publication series

Name | Proceedings of the Annual Conference on Engineering in Medicine and Biology |
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Number | pt 2 |

Volume | 15 |

ISSN (Print) | 0589-1019 |

### Other

Other | Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 3) |
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City | San Diego, CA, USA |

Period | 10/28/93 → 10/31/93 |

### Fingerprint

### ASJC Scopus subject areas

- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics

### Cite this

*Proceedings of the Annual Conference on Engineering in Medicine and Biology*(pt 2 ed., pp. 901-902). (Proceedings of the Annual Conference on Engineering in Medicine and Biology; Vol. 15, No. pt 2). Publ by IEEE.

**Inverse material identification algorithm for determining in vivo myocardial material properties.** / Moulton, Michael J.; Creswell, Lawrence L.; Wyers, Stephan G.; Actis, Riacrdo L.; Sazbo, Barna A.; Vannier, Michael W.; Pasque, Michael K.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

*Proceedings of the Annual Conference on Engineering in Medicine and Biology.*pt 2 edn, Proceedings of the Annual Conference on Engineering in Medicine and Biology, no. pt 2, vol. 15, Publ by IEEE, pp. 901-902, Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 3), San Diego, CA, USA, 10/28/93.

}

TY - GEN

T1 - Inverse material identification algorithm for determining in vivo myocardial material properties

AU - Moulton, Michael J.

AU - Creswell, Lawrence L.

AU - Wyers, Stephan G.

AU - Actis, Riacrdo L.

AU - Sazbo, Barna A.

AU - Vannier, Michael W.

AU - Pasque, Michael K.

PY - 1993/12/1

Y1 - 1993/12/1

N2 - A material identification algorithm is described for determining the in vivo material properties of the diastolic myocardium. A nonlinear optimization algorithm is used to solve a least squares objective function. The objective function relates the least squares difference of model-predicted displacements obtained from a finite element (FE) solution to measured displacements, obtained in the in vivo case from magnetic resonance imaging (MRI) radiofrequency (RF) tissue-tagging. The algorithm is validated using a simple analytic test case by examining the effects of noise in the measured data and numerical error in the FE solution. Non-homogeneous, linearly elastic and isotropic materials parameters are determined for a normal adult mongrel dog.

AB - A material identification algorithm is described for determining the in vivo material properties of the diastolic myocardium. A nonlinear optimization algorithm is used to solve a least squares objective function. The objective function relates the least squares difference of model-predicted displacements obtained from a finite element (FE) solution to measured displacements, obtained in the in vivo case from magnetic resonance imaging (MRI) radiofrequency (RF) tissue-tagging. The algorithm is validated using a simple analytic test case by examining the effects of noise in the measured data and numerical error in the FE solution. Non-homogeneous, linearly elastic and isotropic materials parameters are determined for a normal adult mongrel dog.

UR - http://www.scopus.com/inward/record.url?scp=0027809168&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0027809168&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0027809168

SN - 0780313771

T3 - Proceedings of the Annual Conference on Engineering in Medicine and Biology

SP - 901

EP - 902

BT - Proceedings of the Annual Conference on Engineering in Medicine and Biology

A2 - Szeto, Andrew Y.J.

A2 - Rangayyan, Rangaraj M.

PB - Publ by IEEE

ER -