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International Conference on Computer Vision and Graphics

ICCVG 2014: Computer Vision and Graphics pp 155–162Cite as

A Modular Workflow Architecture for Coronary Centerline Extraction in Computed Tomography Angiography Data

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 8671)

Abstract

Efficient and reliable extraction of coronary artery centerline from computed tomography angiography data is a prerequisite for a variety of medical imaging applications. Many authors have combined minimum-cost path algorithms and vesselness measures to extract coronary centerlines. We propose a modular decomposition of this extraction process, in order to facilitate the implementation and comparison of different minimum-cost path strategies allowing users (radiologists and developers) to focus on subsequent image analysis tasks. Evaluation results show a good overlap (> 84%), and small distances with regard to reference centerlines (on average, not larger than the voxel size) in multi-vendor datasets, for two combinations of algorithms that follow this framework. Therefore, it can serve as a starting point to subsequent image analysis stages that require coronary centerlines.

Keywords

  • centerline extraction
  • vesselness
  • minimum cost-path algorithms
  • computed tomography
  • coronary arteries

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Author information

Authors and Affiliations

  1. Université de Lyon, CREATIS; CNRS UMR5220; INSERM U1044; INSA-Lyon, Université Lyon 1, France

    Esteban Correa-Agudelo, Maciej Orkisz, Claire Mouton & Eduardo E. Dávila Serrano

  2. Grupo Takina, Pontificia Universidad Javeriana, Bogotá, Colombia

    Leonardo Flórez-Valencia

  3. Systems and Computing Engineering Department, School of Engineering, Universidad de los Andes, Bogotá, Colombia

    Esteban Correa-Agudelo & Marcela Hernández Hoyos

Authors
  1. Esteban Correa-Agudelo
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  2. Leonardo Flórez-Valencia
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  3. Maciej Orkisz
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  4. Claire Mouton
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  5. Eduardo E. Dávila Serrano
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  6. Marcela Hernández Hoyos
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Editor information

Editors and Affiliations

  1. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences (SGGW), Poland

    Leszek J. Chmielewski

  2. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences - SGGW, Nowoursynowska str. 159, 02-776, Warsaw, Poland

    Ryszard Kozera

  3. The .enpeda.. Project, The University of Auckland, New Zealand

    Bok-Suk Shin

  4. Institute of Computer Science, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Konrad Wojciechowski

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© 2014 Springer International Publishing Switzerland

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Correa-Agudelo, E., Flórez-Valencia, L., Orkisz, M., Mouton, C., Dávila Serrano, E.E., Hernández Hoyos, M. (2014). A Modular Workflow Architecture for Coronary Centerline Extraction in Computed Tomography Angiography Data. In: Chmielewski, L.J., Kozera, R., Shin, BS., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2014. Lecture Notes in Computer Science, vol 8671. Springer, Cham. https://doi.org/10.1007/978-3-319-11331-9_19

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  • DOI: https://doi.org/10.1007/978-3-319-11331-9_19

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11330-2

  • Online ISBN: 978-3-319-11331-9

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