Evaluation of semi-automatic arterial stenosis quantification

  • Marcela Hernández Hoyos
  • Jean-Michel Serfaty
  • Albinka Maghiar
  • Catherine Mansard
  • Maciej OrkiszEmail author
  • Isabelle E. Magnin
  • Philippe C. Douek
Original article


Object: To assess the accuracy and reproducibility of semi-automatic vessel axis extraction and stenosis quantification in 3D contrast-enhanced Magnetic Resonance Angiography (CE-MRA) of the carotid arteries (CA).

Materials and methods: A total of 25 MRA datasets was used: 5 phantoms with known stenoses, and 20 patients (40 CAs) drawn from a multicenter trial database. Maracas software extracted vessel centerlines and quantified the stenoses, based on boundary detection in planes perpendicular to the centerline. Centerline accuracy was visually scored. Semi-automatic measurements were compared with: (1) theoretical phantom morphometric values, and (2) stenosis degrees evaluated by two independent radiologists.

Results: Exploitable centerlines were obtained in 97% of CA and in all phantoms. In phantoms, the software achieved a better agreement with theoretic stenosis degrees (weighted kappa κ w =  0.91) than the radiologists (κ w   =   0.69). In patients, agreement between software and radiologists varied from κ w =0.67 to 0.90. In both, Maracas was substantially more reproducible than the readers. Mean operating time was within 1 min/ CA.

Conclusion: Maracas software generates accurate 3D centerlines of vascular segments with minimum user intervention. Semi-automatic quantification of CA stenosis is also accurate, except in very severe stenoses that cannot be segmented. It substantially reduces the inter-observer variability.


Vascular diseases Carotid artery stenosis Magnetic resonance angiography Three-dimensional image Computer assisted image processing 


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Copyright information

© CARS 2006

Authors and Affiliations

  • Marcela Hernández Hoyos
    • 1
    • 3
  • Jean-Michel Serfaty
    • 1
    • 2
  • Albinka Maghiar
    • 2
  • Catherine Mansard
    • 1
  • Maciej Orkisz
    • 1
    Email author
  • Isabelle E. Magnin
    • 1
  • Philippe C. Douek
    • 1
    • 2
  1. 1.CREATIS Research Unit, CNRS (UMR 5515), INSERM (U630)INSA de Lyon and Université Claude Bernard Lyon 1, INSA – Blaise PascalVilleurbanne CedexFrance
  2. 2.Département de RadiologieHôpital Cardiovasculaire et Pneumologique L. PradelBronFrance
  3. 3.Grupo de Ingeniería Biomédica, Grupo ImagíneUniversidad de los AndesBogotaColombia

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