Renee Miller

TL;DR: In this paper, a divergence-free formulation of the governing equations for acoustic wave propagation through a linearly transversely isotropic viscoelastic material, and transformed this into a weak form was implemented into a finite element framework, enabling the analysis of wave input data and tissue structural fibre orientations, in this case based on diffusion tensor imaging.

TL;DR: In this article, a pipeline for generating patient-specific biventricular models is applied to clinically-acquired data from a diverse cohort of individuals, including hypertrophic and dilated cardiomyopathy patients and healthy volunteers.

TL;DR: In this article, the authors proposed to perform MRE Inversion by Compressive Recovery (MICRo), which aims to improve the numerical stability and the robustness to data noise of Helmholtz inversion by using prior knowledge on data noise and transform sparsity of the stiffness map.

TL;DR: A neural network was developed and trained to identify ten features from unlabeled long-axis MR images of valve annuli motion and morphology, compared with the accuracy of two commonly used feature tracking methods as well as the inter-observer variability of manual annotations.

TL;DR: In this article, the authors used established kinematic growth tensors for the standard types of hypertrophy in an isotropic and orthotropic material model to identify different factors which contribute to the heterogeneous growth patterns observed in hypertrophic cardiomyopathy.