Interactive virtual stent planning for the treatment of coarctation of the aorta

  • Mathias Neugebauer
  • Martin Glöckler
  • Leonid Goubergrits
  • Marcus Kelm
  • Titus Kuehne
  • Anja Hennemuth
Original Article

Abstract

Purpose

The coarctation of the aorta (CoA), a local narrowing of the aortic arch, accounts for 7 % of all congenital heart defects. Stenting is a recommended therapy to reduce the pressure gradient. This procedure is associated with complications such as the development of adverse flow conditions. A computer-aided treatment planning based on flow simulations can help to predict possible complications. The virtual stent planning is an important, intermediate step in the treatment planning pipeline. We present a novel approach that automatically suggests a stent setup and provides a set of intuitive parameters that allow for an interactive adaption of the suggested stent placement and induced deformation.

Methods

A high-quality mesh and a centerline are automatically generated. The stent-induced deformation is realized through a deformation of the centerline and a vertex displacement with respect to the deformed centerline and additional stent parameters. The parameterization is automatically derived from the underlying data and can be optionally altered through a condensed set of clinically sound parameters.

Results

The automatic deformation can be generated in about 25 s on a consumer system. The interactive adaption can be performed in real time. Compared with manual expert reconstructions of the stented vessel section, the mean difference of vessel path and diameter is below 1 mm.

Conclusion

Our approach enables a medical user to easily generate a plausibly deformed vessel mesh which is necessary as input for a simulation-based treatment planning of CoA.

Keywords

Coarctation of the aorta Computer-aided treatment Virtual stenting Stenting Geometric processing Image processing VTK VMTK CARDIOPROOF 

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Copyright information

© CARS 2015

Authors and Affiliations

  • Mathias Neugebauer
    • 1
  • Martin Glöckler
    • 2
  • Leonid Goubergrits
    • 3
  • Marcus Kelm
    • 3
  • Titus Kuehne
    • 3
  • Anja Hennemuth
    • 1
  1. 1.Fraunhofer Institute for Medical Image Computing – MEVISBremenGermany
  2. 2.University Hospital Erlangen – Pediatric CardiologyErlangenGermany
  3. 3.German Heart Institute Berlin – DHZBBerlinGermany

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