Detection of vortical structures in 4D velocity encoded phase contrast MRI data using vector template matching

Johann Drexl, Haider Khan, Michael Markl, Anja Hennemuth, Sebastian Meier, Ramona Lorenz, Horst K. Hahn

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

2 Scopus citations

Abstract

We present the Adaptive Vector Pattern Matching (AVPM) method, a novel method for the detection of vortical structures specifically designed for velocity encoded 4D PCMRI datasets. AVPM is based on vector pattern matching combined with robust orientation estimation. This combination provides for a simple yet robust algorithm, which is a priori axial flow invariant. We demonstrate these properties by comparing the performance of AVPM with Heiberg's Vector Pattern Matching algorithm.

Original languageEnglish (US)
Title of host publicationFunctional Imaging and Modeling of the Heart - 7th International Conference, FIMH 2013, Proceedings
Pages276-283
Number of pages8
DOIs
StatePublished - Jul 11 2013
Event7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013 - London, United Kingdom
Duration: Jun 20 2013Jun 22 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7945 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2013
CountryUnited Kingdom
CityLondon
Period6/20/136/22/13

Keywords

  • phase contrast MRI
  • vector template matching
  • vortical structures

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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