  As experts continue to debate the optimal surgery practice for coronary
disease - percutaneous coronary intervention (PCI) or coronary aortic bypass
graft (CABG) - computational tools may provide a quantitative assessment of
each option. Computational fluid dynamics (CFD) has been used to assess the
interplay between hemodynamics and stent struts; it is of particular interest
in Bioresorbable Vascular Stents (BVS), since their thicker struts may result
in impacted flow patterns and possible pathological consequences. Many proofs
of concept are presented in the literature; however, a practical method for
extracting patient-specific stented coronary artery geometries from images over
a large number of patients remains an open problem.
  This work provides a possible pipeline for the reconstruction of the BVS.
Using Optical Coherence Tomographies (OCT) and Invasive Coronary Angiographies
(ICA), we can reconstruct the 3D geometry of deployed BVS in vivo. We
illustrate the stent reconstruction process: (i) automatic strut detection,
(ii) identification of stent components, (iii) 3D registration of stent
curvature, and (iv) final stent volume reconstruction. The methodology is
designed for use on clinical OCT images, as opposed to approaches that relied
on a small number of virtually deployed stents.
  The proposed reconstruction process is validated with a virtual phantom
stent, providing quantitative assessment of the methodology, and with selected
clinical cases, confirming feasibility. Using multimodality image analysis, we
obtain reliable reconstructions within a reasonable timeframe. This work is the
first step toward a fully automated reconstruction and simulation procedure
aiming at an extensive quantitative analysis of the impact of BVS struts on
hemodynamics via CFD in clinical trials, going beyond the proof-of-concept
stage.
