Recovering Surfaces from the Restoring Force

Abstract. We present a new theoretical method and experimental re-sults for direct recovery of the curvatures, the principal curvature direc-tions, and the surface itself by explicit integration of the Gauss map. The method does not rely on polygonal approximations, smoothing of the data, or model tting. It is based on the observation that one can recover the surface restoring force from the Gauss map, and (i) applies to orientable surfaces of arbitrary topology (not necessarily closed); (ii) uses only rst order linear dierential equations; (iii) avoids the use of unstable computations; (iv) provides tools for ltering noise from the sampled data. The method can be used for stable extraction of surfaces and surface shape invariants, in particular, in applications requiring ac-curate quantitative measurements.

Data underlying the publication: Computationally guided in-vitro vascular growth model reveals causal link between flow oscillations and disorganized neotissue

This repository contains the data and scripts required to reproduce the subfigures of figure 2 of: van Haaften et al 2021 "Computationally guided in-vitro vascular growth model reveals causal link between flow oscillations and disorganized neotissue" related to the computational simulations. More specifically, this repository contains:1) Datasets to visualize the time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI) and the strain (ε) in graft at the venous anastomosis in Paraview. 2) Scripts and data to produce histograms of the time-averaged wall shear stress (TAWSS), oscillatory shear index (OSI) and the strain (ε) in the graft at the venous anastomosis in MATLA