Abstract
Computational methods are proposed for quantifying the regional ventricular myocardium contraction during the systolic phase of a cardiac cycle. Eight implanted markers have been used as vertices to identify a hexahedral region. The regional volume changes are calculated via a finite-element partitioning technique and using the the video-roentgenographically recorded three-dimensional coordinates of the markers. Spline curve-fit of the volume data consequently enables the myocardial contraction to be quantified. A dog heart under controlled condition and under the influence of selected drugs have been studied. Effect of signal noise in the displacement data on the calculated values of hexahedral volume and regional myocardial contraction have also been examined. Statistically significant differences in transienut decrease about 5-15% of regional wall volume during the early phase of systole under various conditions of aortic pressure, heart rate, and inotropism are demonstrable, but no changes in the rate of volume decrease are detected. To further improve the quantification, a 20-marker region which facilitates isoparametric finite element analysis and a modified myocardium-blood composite model are proposed.
| Original language | English (US) |
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| Pages | 371-385 |
| Number of pages | 15 |
| State | Published - 1988 |
| Event | Computational Methods in Bioengineering - Chicago, IL, USA Duration: Nov 27 1988 → Dec 2 1988 |
Other
| Other | Computational Methods in Bioengineering |
|---|---|
| City | Chicago, IL, USA |
| Period | 11/27/88 → 12/2/88 |
ASJC Scopus subject areas
- Engineering(all)