VarVis: Visualizing Anatomical Variation in Branching Structures

Noeska Natasja Smit, Annelot Kraima, Daniel Jansma, Marco DeRuiter, Elmar Eisemann, Anna Vilanova Bartroli

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


Anatomical variations are naturally-occurring deviations from typical human anatomy. While these variations are considered normal and non-pathological, they are still of interest in clinical practice for medical specialists such as radiologists and transplantation surgeons. The complex variations in branching structures, for instance in arteries or nerves, are currently visualized side-by-side in illustrations or expressed using plain text in medical publications. In this work, we present a novel way of visualizing anatomical variations in complex branching structures for educational purposes: VarVis. VarVis consists of several linked views that reveal global and local similarities and differences in the variations. We propose a novel graph representation to provide an overview of the topological changes. Our solution involves a topological
similarity measure, which allows the user to select variations at a global level based on their degree of similarity. After a selection is made, local topological differences can be interactively explored using illustrations and topology graphs. We also incorporate additional information regarding the probability of the various cases. Our solution has several advantages over traditional approaches, which we demonstrate in an evaluation.
Original languageEnglish
Title of host publicationEuroVis 2016 - Short Papers
EditorsEnrico Bertini, Niklas Elmqvist, Thomas Wischgoll
PublisherThe Eurographics Association
Number of pages5
ISBN (Print)978-3-03868-014-7
Publication statusPublished - 2016
EventEuroVis 2016: 18th EG/VGTC Conference on Visualization - Groningen, Netherlands
Duration: 6 Jun 201610 Jun 2016


ConferenceEuroVis 2016


Dive into the research topics of 'VarVis: Visualizing Anatomical Variation in Branching Structures'. Together they form a unique fingerprint.

Cite this