Cardiac fibre trace clustering for the interpretation of the human heart architecture

Carole Frindel, Marc Robini, Joël Schaerer, Pierre Croisille, Yue Min Zhu

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

2 Citations (Scopus)

Abstract

Cardiac fibre architecture plays a key role in heart function. Recently, the estimation of fibre structure has been simplified with diffusion tensor MRI (DT-MRI). In order to assess the heart architecture and its underlying function, with the goal of dealing with pathological tissues and easing inter-patient comparisons, we propose a methodology for finding cardiac myofibrille trace correspondences across a fibre population obtained from DT-MRI data. It relies on the comparison of geometrical and topological clustering operating on different fibre representation modes (fixed length sequences of 3-D coordinates with or without ordering strategy, and 9-D vectors for trace shape approximation). In geometrical clustering (or k-means) each fibre path is assigned to the cluster with nearest barycenter. In topological (or spectral) clustering the data is represented by a similarity graph and the graph vertices are divided into groups so that intra-cluster connectivity is maximized and inter-cluster connectivity is minimized. Using these different clustering methods and fibre representation modes, we predict different fibre trace classifications for the same cardiac dataset. These classification results are compared to the human heart architecture models proposed in the literature.

Original languageEnglish
Title of host publicationFunctional Imaging and Modeling of the Heart - 5th International Conference, FIMH 2009, Proceedings
Pages39-48
Number of pages10
DOIs
Publication statusPublished - 2009 Aug 21
Externally publishedYes
Event5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009 - Nice, France
Duration: 2009 Jun 32009 Jun 5

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5528
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference5th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2009
CountryFrance
CityNice
Period09/6/309/6/5

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Frindel, C., Robini, M., Schaerer, J., Croisille, P., & Zhu, Y. M. (2009). Cardiac fibre trace clustering for the interpretation of the human heart architecture. In Functional Imaging and Modeling of the Heart - 5th International Conference, FIMH 2009, Proceedings (pp. 39-48). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5528). https://doi.org/10.1007/978-3-642-01932-6_5