Estimation of Diastolic Biomarkers: Sensitiviy to Fibre Orientation

Conference paper
First Online:
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8896)

Abstract

An accurate estimation of myocardial stiffness and decaying active tension is critical for the characterization of the diastolic function of the heart. Computational cardiac models can be used to analyse deformation and pressure data from the left ventricle in order to estimate these diastolic metrics. The results of this methodology depend on several model assumptions. In this work we reveal a nominal impact of the choice of myocardial fibre orientation between a rule-based description and personalised approach based on diffusion-tensor magnetic resonance imaging. This result suggests the viability of simplified clinical imaging protocols for the model-based estimation of diastolic biomarkers.

Keywords

Cardiac computational physiology Diastolic biomarkers Model personalization Fibre orientation 
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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.Department of Biomedical EngineeringKing’s College LondonLondonUK
  2. 2.Deptartment of Computer ScienceUniversity of OxfordOxfordUK

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