Abstract
Model-based image processing (MBIP) of Doppler echocardiographic transmitral flow (E-waves) has been validated as a method of quantitative diastolic function (DF) assessment. MBIP incorporates the mechanical suction-pump role of the heart, uses the E-wave as input, solves the 'inverse problem' of diastole and generates three unique parameters (x0c,k) for each E-wave. The model's spring constant k is the analogue of (average) chamber stiffness (ΔP/ΔV). Exercising subjects with chronic heart failure (CHF) attaining an oxygen consumption peak VO2 ≤ 14 ml/kg/min are likely to benefit from transplantation whereas those attaining peak VO2 > 14 ml/kg/min do not. The relationship between peak VO2 and DF has not been determined in CHF. Doppler E-waves of 31 pre-transplant subjects were analyzed using MBIP. Least squares linear best fit determined the k vs. peak VO2 relation. For subjects with VO2 ≤ 14 ml/kg/min (n=12) k was linearly proportional to peak VO2 with r=0.57. We conclude that: k is inversely correlated with peak VO2; a clear delineation exists for k at a VO2 ≤ or > 14 ml/kg/min. These results show that the stiffer the chamber the worse the exercise tolerance, and MBIP facilitates quantitative DF determination in subjects with CHF.
Original language | English |
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Pages (from-to) | 1268-1269 |
Number of pages | 2 |
Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Volume | 2 |
State | Published - 2002 |
Event | Proceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States Duration: Oct 23 2002 → Oct 26 2002 |
Keywords
- Diastolic function
- Echocardiography
- Heart failure
- Mathematical modeling
- Transplantation