• English
  • Deutsch
  • Log In
    Password Login
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Hepatic vein segmentation using wavefront propagation and multiscale vessel enhancement
 
  • Details
  • Full
Options
2013
Conference Paper
Titel

Hepatic vein segmentation using wavefront propagation and multiscale vessel enhancement

Abstract
Modern volumetric imaging techniques such as CT or MRI, aid in the understanding of a patient's anatomy and pathologies. Depending on the medical use case, various anatomical structures are of interest. Blood vessels play an important role in several applications, e.g. surgical planning. Manual delineation of blood vessels in volumetric images is error prone and time consuming. Automated vessel segmentation is a challenging problem due to acquisition-dependent problems such as noise, contrast, spatial resolution, and artifacts. In this paper, a vessel segmentation method is presented that combines a wavefront propagation technique with Hessian-based vessel enhancement. The latter has proven its usefullness as a preprocessing step to detect tubular structures before the actual segmentation is carried out. The former allows for an ordered growing process, which enables topological analysis. The contribution of this work is as follows. 1. A new vessel enhancement filter for tubular structures based on the Laplacian is proposed, 2. a wavefront propagation technique is proposed that prevents leaks by imposing a threshold on the maximum number of voxels that the propagating front must contain, and 3. a volumetric hole filling method is proposed to fill holes, bays, and tunnels which are caused at locations where the tubular structure assumption is violated. The proposed method reduces approximately 50% of the necessary eigenvalue calculations for vessel enhancement and prevents leaks starting at small spots, which usually occur using standard region growing. Qualitative and quantitative evaluation based on several metrics (statistical measures, dice and symmetric average surface distance) is presented.
Author(s)
Drechsler, Klaus
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Oyarzun Laura, Cristina
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Wesarg, Stefan
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Hauptwerk
Medical Imaging 2013. Image Processing. Vol.1
Konferenz
Conference "Medical Imaging - Image Processing" 2013
Thumbnail Image
DOI
10.1117/12.2006811
Language
English
google-scholar
Fraunhofer-Institut für Graphische Datenverarbeitung IGD
Tags
  • vesselness

  • liver

  • segmentation

  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022