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Extraction of open-state mitral valve geometry from CT volumes

  • Lennart Tautz
  • Mathias Neugebauer
  • Markus Hüllebrand
  • Katharina Vellguth
  • Franziska Degener
  • Simon Sündermann
  • Isaac Wamala
  • Leonid Goubergrits
  • Titus Kuehne
  • Volkmar Falk
  • Anja Hennemuth
Original Article

Abstract

Purpose

The importance of mitral valve therapies is rising due to an aging population. Visualization and quantification of the valve anatomy from image acquisitions is an essential component of surgical and interventional planning. The segmentation of the mitral valve from computed tomography (CT) acquisitions is challenging due to high variation in appearance and visibility across subjects. We present a novel semi-automatic approach to segment the open-state valve in 3D CT volumes that combines user-defined landmarks to an initial valve model which is automatically adapted to the image information, even if the image data provide only partial visibility of the valve.

Methods

Context information and automatic view initialization are derived from segmentation of the left heart lumina, which incorporates topological, shape and regional information. The valve model is initialized with user-defined landmarks in views generated from the context segmentation and then adapted to the image data in an active surface approach guided by landmarks derived from sheetness analysis. The resulting model is refined by user landmarks.

Results

For evaluation, three clinicians segmented the open valve in 10 CT volumes of patients with mitral valve insufficiency. Despite notable differences in landmark definition, the resulting valve meshes were overall similar in appearance, with a mean surface distance of \(1.62 \pm 2.10\) mm. Each volume could be segmented in 5–22 min.

Conclusions

Our approach enables an expert user to easily segment the open mitral valve in CT data, even when image noise or low contrast limits the visibility of the valve.

Keywords

Mitral valve Modeling Segmentation Geometry Computed tomography 

Notes

Funding

This work is part of the BMBF VIP+ project DSS Mitral (partially funded by the German Federal Ministry of Education and Research under Grant 03VP00852).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Supplementary material

11548_2018_1831_MOESM1_ESM.pdf (1.3 mb)
Supplementary material 1 (pdf 1282 KB)

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Copyright information

© CARS 2018

Authors and Affiliations

  • Lennart Tautz
    • 1
    • 2
  • Mathias Neugebauer
    • 1
  • Markus Hüllebrand
    • 1
    • 2
  • Katharina Vellguth
    • 2
  • Franziska Degener
    • 2
    • 3
  • Simon Sündermann
    • 3
  • Isaac Wamala
    • 3
  • Leonid Goubergrits
    • 2
  • Titus Kuehne
    • 2
    • 3
  • Volkmar Falk
    • 2
    • 3
  • Anja Hennemuth
    • 1
    • 2
  1. 1.Fraunhofer MEVISBremenGermany
  2. 2.Charité - Universitätsmedizin BerlinBerlinGermany
  3. 3.German Heart Institute Berlin - DHZBBerlinGermany

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