Clinical pressure-volume data are often subjected to measurement noise. In the present work we explore the potential of a biomechanical model of the heart as a data-filtering tool. We use cardiovascular MRI volume data either simultaneously or sequentially acquired with catherization. We use time-varying elastance metrics for a quantitative comparison of data- and model-derived pressure-volume loops (PV loops). Our results demonstrate that the biomechanical model provides high quality PV loops that could be used to replace noisy data signals. In addition, this work contributes to the increased understanding of cardiovascular MRI results.
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Gusseva et al. (2024) studied this question.
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