Abstract:
:In myocardial infarction, muscle tissue of the heart is damaged as a result of ceased or severely impaired blood flow. Survivors have an increased risk of further complications, possibly leading to heart failure. Material properties play an important role in determining post-infarction outcome. Due to spatial variation in scarring, material properties can be expected to vary throughout the tissue of a heart after an infarction. In this study we propose a data assimilation technique that can efficiently estimate heterogeneous elastic material properties in a personalized model of cardiac mechanics. The proposed data assimilation is tested on a clinical dataset consisting of regional left ventricular strains and in vivo pressures during atrial systole from a human with a myocardial infarction. Good matches to regional strains are obtained, and simulated equi-biaxial tests are carried out to demonstrate regional heterogeneities in stress-strain relationships. A synthetic data test shows a good match of estimated versus ground truth material parameter fields in the presence of no to low levels of noise. This study is the first to apply adjoint-based data assimilation to the important problem of estimating cardiac elastic heterogeneities in 3-D from medical images.
journal_name
Biomech Model Mechanobioljournal_title
Biomechanics and modeling in mechanobiologyauthors
Balaban G,Finsberg H,Funke S,Håland TF,Hopp E,Sundnes J,Wall S,Rognes MEdoi
10.1007/s10237-018-1028-5subject
Has Abstractpub_date
2018-10-01 00:00:00pages
1317-1329issue
5eissn
1617-7959issn
1617-7940pii
10.1007/s10237-018-1028-5journal_volume
17pub_type
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