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Extrema temporal chaining: A new method for computing the 2D-displacement field of the heart from tagged MRI

  • Jean-Pascal Jacob
  • , Corinne Vachier
  • , Jean-Michel Morel
  • , Jean-Luc Daire
  • , Jean-Noel Hyacinthe
  • , Jean-Paul Vallée

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This work takes is part of a medical research project which intends to induce and study cardiac hibernation in rats. The underlying goal is to understand the physiology of heart disease. We present here a novel method to compute the 2D-deformation field of the heart (rat or human) from tagged MRI. Previous work is not suitable for wide clinical use for different reasons, including important computing time and lack of robustness. We propose an original description of tags as local minima of 1D signals. This leads us to a new formulation of the tag tracking problem as an Extrema Temporal Chaining (ETC) and a 2D-rendering. 2D-displacements are then interpolated on a dense field. The developed method is fast and robust. Its performances are compared to those of HARP, a leading method in this field. © Springer-Verlag Berlin Heidelberg 2006.
Original languageEnglish
Title of host publicationAdvanced Concepts for Intelligent Vision Systems - 8th International Conference, ACIVS 2006, Proceedings
PublisherSpringer Verlag
Pages897-908
Volume4179 LNCS
ISBN (Print)3540446303, 9783540446309
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006 - Antwerp, Belgium
Duration: 18 Sept 200621 Sept 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4179 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2006
PlaceBelgium
CityAntwerp
Period18/09/0621/09/06

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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