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A global approach to cardiac tractography

Authors :
Marc Robini
Patrick Clarysse
Joël Schaerer
Pierre Gueth
Carole Frindel
Yuemin Zhu
Imagerie Ultrasonore
Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS)
Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Université de Lyon-Institut National des Sciences Appliquées de Lyon (INSA Lyon)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL)
Université de Lyon-Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Hospices Civils de Lyon (HCL)-Université Jean Monnet [Saint-Étienne] (UJM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)
Images et Modèles
Imagerie et modélisation Vasculaires, Thoraciques et Cérébrales (MOTIVATE)
Source :
ISBI, Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, 2008, Paris, France. pp.883\886, ⟨10.1109/ISBI.2008.4541138⟩
Publication Year :
2008
Publisher :
IEEE, 2008.

Abstract

Cardiac myofibrilles bundles in the human heart can be located by iteratively tracing the local water diffusion direction inferred from diffusion weighted MRI images. This well known process, called streamlining, needs to be initialized by a seed. In this paper, a global, graph modeling approach for cardiac myofibrille tractography is presented. Seed points are no longer needed : it predicts the fibers in one shot for the whole DT-MRI volume without initialization artifacts. The main merits of the presented methodology are its ability to give a unique estimation of the heart architecture (independent of seed initialization), the fact that it has no hyper- parameters and that it provides an optimal balance between the density of fibers and the amount of available data.

Details

Database :
OpenAIRE
Journal :
2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Accession number :
edsair.doi.dedup.....6d458fb1fd9f758bbfac00db41437303
Full Text :
https://doi.org/10.1109/isbi.2008.4541138