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Characterization of Mitral Valve Annular Dynamics in the Beating Heart

Overview of attention for article published in Annals of Biomedical Engineering, February 2011
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Title
Characterization of Mitral Valve Annular Dynamics in the Beating Heart
Published in
Annals of Biomedical Engineering, February 2011
DOI 10.1007/s10439-011-0272-y
Pubmed ID
Authors

Manuel K. Rausch, Wolfgang Bothe, John-Peder Escobar Kvitting, Julia C. Swanson, Neil B. Ingels, D. Craig Miller, Ellen Kuhl

Abstract

The objective of this study is to establish a mathematical characterization of the mitral valve annulus that allows a precise qualitative and quantitative assessment of annular dynamics in the beating heart. We define annular geometry through 16 miniature markers sewn onto the annuli of 55 sheep. Using biplane videofluoroscopy, we record marker coordinates in vivo. By approximating these 16 marker coordinates through piecewise cubic splines, we generate a smooth mathematical representation of the 55 mitral annuli. We time-align these 55 annulus representations with respect to characteristic hemodynamic time points to generate an averaged baseline annulus representation. To characterize annular physiology, we extract classical clinical metrics of annular form and function throughout the cardiac cycle. To characterize annular dynamics, we calculate displacements, strains, and curvature from the discrete mathematical representations. To illustrate potential future applications of this approach, we create rapid prototypes of the averaged mitral annulus at characteristic hemodynamic time points. In summary, this study introduces a novel mathematical model that allows us to identify temporal, regional, and inter-subject variations of clinical and mechanical metrics that characterize mitral annular form and function. Ultimately, this model can serve as a valuable tool to optimize both surgical and interventional approaches that aim at restoring mitral valve competence.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Russia 1 2%
Denmark 1 2%
Singapore 1 2%
Unknown 57 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 33%
Researcher 12 20%
Other 4 7%
Student > Master 4 7%
Student > Postgraduate 4 7%
Other 6 10%
Unknown 11 18%
Readers by discipline Count As %
Engineering 30 49%
Medicine and Dentistry 11 18%
Mathematics 2 3%
Agricultural and Biological Sciences 2 3%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 4 7%
Unknown 11 18%