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Optimization Framework for Patient-Specific Cardiac Modeling.

Joshua Mineroff1, Andrew D McCulloch2, David Krummen3

  • 1Department of Mechanical Engineering, Iowa State University, Ames, IA, USA.

Cardiovascular Engineering and Technology
|September 19, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient optimization framework for tuning patient-specific cardiac models using non-invasive data. This approach accelerates the fitting process, making complex biomechanical models more accessible for clinical and research applications.

Keywords:
Cardiac biomechanicsLumped-parameter circulation modelOptimizationPatient-specific modeling

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Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Cardiovascular Research

Background:

  • Patient-specific cardiac models aid in diagnosing heart diseases.
  • Clinical application is hindered by computational costs and fitting uncertainties.
  • Efficient model tuning is crucial for time-sensitive clinical settings.

Purpose of the Study:

  • Develop an efficient optimization framework for tuning patient-specific mechanistic cardiac models.
  • Improve the speed and accuracy of fitting models to clinical data.
  • Facilitate practical deployment of cardiac models in clinical environments.

Main Methods:

  • Developed a novel optimization framework for parameter tuning.
  • Utilized a hybrid particle swarm and pattern search algorithm.
  • Adapted the framework for cross-species model optimization.

Main Results:

  • Successfully tuned full-cycle lumped parameter circulatory models using clinical data.
  • Demonstrated framework adaptability by optimizing models for canine subjects.
  • Showcased efficiency gains compared to manual parameter fitting methods.

Conclusions:

  • The developed framework streamlines the parameter fitting process for cardiac models.
  • This facilitates the use of biomechanics and circulatory models in clinical and research settings.
  • Reduces the tedious manual effort required for model calibration.