Skip to main navigation Skip to search Skip to main content

Progressive and efficient multi-resolution representations for brain tractograms

  • Université Paris-Saclay

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Current tractography methods generate tractograms composed of millions of 3D polylines, called fibers, making visualization and interpretation extremely challenging, thus complexifying the use of this technique in a clinical environment. We propose to progressively simplify tractograms by grouping similar fibers into generalized cylinders. This produces a fine-grained multi-resolution model that provides a progressive and real-time navigation through different levels of detail. This model preserves the overall structure of the tractogram and can be adapted to different measures of similarity. We also provide an efficient implementation of the method based on a Delaunay tetrahedralization. We illustrate our method using the Human Connectome Project dataset.

Original languageEnglish
Title of host publicationVCBM 2018 - Eurographics Workshop on Visual Computing for Biology and Medicine
EditorsAnna Puig, Thomas Schultz, Anna Vilanova, Ingrid Hotz, Barbora Kozlikova, Pere-Pau Vazquez
PublisherEurographics Association
Pages89-93
Number of pages5
ISBN (Electronic)9783038680567
DOIs
Publication statusPublished - 1 Jan 2018
Event2018 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2018 - Granada, Spain
Duration: 20 Sept 201821 Sept 2018

Publication series

NameVCBM 2018 - Eurographics Workshop on Visual Computing for Biology and Medicine

Conference

Conference2018 Eurographics Workshop on Visual Computing for Biology and Medicine, VCBM 2018
Country/TerritorySpain
CityGranada
Period20/09/1821/09/18

Fingerprint

Dive into the research topics of 'Progressive and efficient multi-resolution representations for brain tractograms'. Together they form a unique fingerprint.

Cite this