Visual 4D MRI blood flow analysis with line predicates

Silvia Born*, Matthias Pfeifle, Michael Markl, Gerik Scheuermann

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Scopus citations

Abstract

4D MRI is an in vivo flow imaging modality which has the potential to significantly enhance diagnostics and therapy of cardiovascular diseases. However, current analysis methods demand too much time and expert knowledge in order to apply 4D MRI in the clinics or larger clinical studies. One missing piece are methods allowing to gain a quick overview of the flow data's main properties. We present a line predicate approach that sorts precalculated integral lines, which capture the complete flow dynamics, into bundles with similar properties. We introduce several streamline and pathline predicates that allow to structure the flow according to various features useful for blood flow analysis, such as, e.g., velocity distribution, vortices, and flow paths. The user can combine these predicates flexibly and by that create flow structures that help to gain overview and carve out special features of the current dataset. We show the usefulness of our approach by means of a detailed discussion of 4D MRI datasets of healthy and pathological aortas.

Original languageEnglish (US)
Title of host publicationIEEE Pacific Visualization Symposium 2012, PacificVis 2012 - Proceedings
Pages105-112
Number of pages8
DOIs
StatePublished - May 11 2012
Event5th IEEE Pacific Visualization Symposium 2012, PacificVis 2012 - Songdo, Korea, Republic of
Duration: Feb 28 2012Mar 2 2012

Other

Other5th IEEE Pacific Visualization Symposium 2012, PacificVis 2012
CountryKorea, Republic of
CitySongdo
Period2/28/123/2/12

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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