Illustrative visualization of vascular models for static 2D representations

Kai Lawonn, Maria Luz, Bernhard Preim, Christian Hansen

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

20 Citations (Scopus)


Depth assessment of 3D vascular models visualized on 2D displays is often difficult, especially in complex workspace conditions such as in the operating room. To address these limitations, we propose a new visualization technique for 3D vascular models. Our technique is tailored to static monoscopic 2D representations, as they are often used during surgery. To improve depth assessment, we propose a combination of supporting lines, view-aligned quads, and illustrative shadows. In addition, a hatching scheme that uses different line styles depending on a distance measure is applied to encode vascular shape as well as the distance to tumors. The resulting visualization can be displayed on monoscopic 2D monitors and on 2D printouts without the requirement to use color or intensity gradients. A qualitative study with 15 participants and a quantitative study with 50 participants confirm that the proposed visualization technique significantly improves depth assessment of complex 3D vascular models.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2015 - 18th International Conference, Proceedings
Number of pages8
ISBN (Print)9783319245706
Publication statusPublished - 2015
Event18th International Conference on Medical Image Computing and Computer-Assisted Intervention - Munich, Germany
Duration: 5 Oct 20159 Oct 2015
Conference number: 18

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)03029743
ISSN (Electronic)16113349


Conference18th International Conference on Medical Image Computing and Computer-Assisted Intervention
Abbreviated titleMICCAI 2015


  • Evaluation
  • Line and Curve Generation
  • Planning and Image Guidance of Interventions
  • Visualization

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