New methods for the geometrical analysis of tubular organs

Article English OPEN
Grélard , Florent ; Baldacci , Fabien ; Vialard , Anne ; Domenger , Jean-Philippe (2017)
  • Publisher: Elsevier
  • Related identifiers: doi: 10.1016/j.media.2017.07.008
  • Subject: Centerlines | [ INFO.INFO-IM ] Computer Science [cs]/Medical Imaging | Orthogonal planes | Tubular organ analysis | Voronoï covariance measure

International audience; This paper introduces new methods to study the shape of tubular organs. Determining precise cross-sections is of major importance to perform geometrical measurements, such as diameter, wall-thickness estimation or area measurement. Our first cont... View more
  • References (35)
    35 references, page 1 of 4

    Arcelli, C., Sanniti di Baja, G., 1993. Euclidean skeleton via centre-of-maximal-disc extraction. Image and Vision Computing 11 (3), 163 - 173.

    Barbieri, S., Meloni, P., Usai, F., et al., 2015. Skeleton Lab: an Interactive Tool to Create, Edit, and Repair CurveSkeletons. In: STAG. The Eurographics Association.

    Bauer, C., Bischof, H., 2008. Extracting curve skeletons from gray value images for virtual endoscopy. In: MIAR. Lecture Notes in Computer Science. Springer.

    Bradley, R. S., Withers, P. J., 2016. Post-processing techniques for making reliable measurements from curveskeletons. Computers in Biology and Medicine 72, 120 - 131.

    Cornea, N. D., Silver, D., Min, P., 2007. Curve-skeleton properties, applications, and algorithms. IEEE Trans. Vis. Comput. Graph., 530-548.

    Cornea, N. D., Silver, D., Yuan, X., et al., 2005. Computing hierarchical curve-skeletons of 3D objects. The Visual Computer.

    Couprie, M., Coeurjolly, D., Zrour, R., Oct. 2007. Discrete bisector function and Euclidean skeleton in 2D and 3D. Image and Vision Computing 25 (10), 1519-1698.

    Cuel, L., Lachaud, J.-O., Mérigot, Q., et al., 2015. Robust geometry estimation using the generalized voronoi covariance measure. SIAM Journal on Imaging Sciences 8 (2), 1293-1314.

    Cuel, L., Lachaud, J.-O., et al., 2014. Voronoi-based geometry estimator for 3D digital surfaces. In: DGCI. Springer, pp. 134-149.

    D. Coeurjolly, J-O Lachaud, B. K., et al., 2016. DGtal: Digital geometry tools and algorithms library. http://dgtal. org.

  • Similar Research Results (4)
  • Metrics
    No metrics available
Share - Bookmark