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Optimizing airway wall segmentation and quantification by reducing the influence of adjacent vessels and intravascular contrast material with a modified integral-based algorithm in quantitative computed tomography

Author

Listed:
  • Philip Konietzke
  • Oliver Weinheimer
  • Willi L Wagner
  • Felix Wuennemann
  • Christian Hintze
  • Juergen Biederer
  • Claus P Heussel
  • Hans-Ulrich Kauczor
  • Mark O Wielpütz

Abstract

Introduction: Quantitative analysis of multi-detector computed tomography (MDCT) plays an increasingly important role in assessing airway disease. Depending on the algorithms used, airway dimensions may be over- or underestimated, primarily if contrast material was used. Therefore, we tested a modified integral-based method (IBM) to address this problem. Methods: Temporally resolved cine-MDCT was performed in seven ventilated pigs in breath-hold during iodinated contrast material (CM) infusion over 60s. Identical slices in non-enhanced (NE), pulmonary-arterial (PA), systemic-arterial (SA), and venous phase (VE) were subjected to an in-house software using a standard and a modified IBM. Total diameter (TD), lumen area (LA), wall area (WA), and wall thickness (WT) were measured for ten extra- and six intrapulmonary airways. Results: The modified IBM significantly reduced TD by 7.6%, LA by 12.7%, WA by 9.7%, and WT by 3.9% compared to standard IBM on non-enhanced CT (p

Suggested Citation

  • Philip Konietzke & Oliver Weinheimer & Willi L Wagner & Felix Wuennemann & Christian Hintze & Juergen Biederer & Claus P Heussel & Hans-Ulrich Kauczor & Mark O Wielpütz, 2020. "Optimizing airway wall segmentation and quantification by reducing the influence of adjacent vessels and intravascular contrast material with a modified integral-based algorithm in quantitative comput," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-14, August.
    • Handle: RePEc:plo:pone00:0237939
    DOI: 10.1371/journal.pone.0237939
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