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

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

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.

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Acknowledgments

This work is part of the EU project CARDIOPROOF (partially funded by the European Commission under ICT-2013.5.2, Grant Agreement: 611232).

Conflict of interest

The authors declare that they have no conflict of interest.

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Authors and Affiliations

  1. Fraunhofer Institute for Medical Image Computing – MEVIS, Universitätsallee 29, 28359, Bremen, Germany

    Mathias Neugebauer & Anja Hennemuth

  2. University Hospital Erlangen – Pediatric Cardiology, Erlangen, Germany

    Martin Glöckler

  3. German Heart Institute Berlin – DHZB, Berlin, Germany

    Leonid Goubergrits, Marcus Kelm & Titus Kuehne

Authors
  1. Mathias Neugebauer
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  2. Martin Glöckler
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  3. Leonid Goubergrits
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  4. Marcus Kelm
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  5. Titus Kuehne
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  6. Anja Hennemuth
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Corresponding author

Correspondence to Mathias Neugebauer.

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Neugebauer, M., Glöckler, M., Goubergrits, L. et al. Interactive virtual stent planning for the treatment of coarctation of the aorta. Int J CARS 11, 133–144 (2016). https://doi.org/10.1007/s11548-015-1220-3

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  • DOI: https://doi.org/10.1007/s11548-015-1220-3

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