Statistical comparison of cardiac fibre architectures

Jean Marc Peyrat, Maxime Sermesant, Xavier Pennec, Hervé Delingette, Chenyang Xu, Elliot McVeigh, Nicholas Ayache

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


In this paper, a statistical atlas of DT-MRIs based on a population of nine ex vivo normal canine hearts is compared with a human cardiac DT-MRI and with a synthetic model of the fibre orientation. The aim of this paper is to perform a statistical inter-species comparison of the cardiac fibre architecture and to assess the quality of a synthetic description of the fibre orientation. We present the framework to build a statistical atlas of cardiac DT-MRIs providing a mean and a covariance matrix of diffusion tensors at each voxel of an average geometry. The comparison of human and synthetic data with this atlas involves the non-rigid registration into the average atlas geometry where voxel to voxel comparison can be performed. For each eigenvector of the diffusion tensors, we compute the angular difference with the average atlas and its Mahalanobis distance to the canine population. The results show a better consistence of the fibre orientation than the laminar sheet orientation between the human and the canine heart, while the homogeneous synthetic model appears to be too simple compared to the complexity of real cardiac geometry and fibre architecture.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages11
Volume4466 LNCS
StatePublished - 2007
Externally publishedYes
Event4th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2007 - Salt Lake City, UT, United States
Duration: Jun 7 2007Jun 9 2007


Other4th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2007
Country/TerritoryUnited States
CitySalt Lake City, UT

ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science


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