• DocumentCode
    1481751
  • Title

    Human Atlas of the Cardiac Fiber Architecture: Study on a Healthy Population

  • Author

    Lombaert, Herve ; Peyrat, Jean-Marc ; Croisille, Pierre ; Rapacchi, Stanislas ; Fanton, Laurent ; Cheriet, Farida ; Clarysse, Patrick ; Magnin, Isabelle ; Delingette, Hervé ; Ayache, Nicholas

  • Author_Institution
    INRIA, Sophia-Antipolis, France
  • Volume
    31
  • Issue
    7
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    1436
  • Lastpage
    1447
  • Abstract
    Cardiac fibers, as well as their local arrangement in laminar sheets, have a complex spatial variation of their orientation that has an important role in mechanical and electrical cardiac functions. In this paper, a statistical atlas of this cardiac fiber architecture is built for the first time using human datasets. This atlas provides an average description of the human cardiac fiber architecture along with its variability within the population. In this study, the population is composed of ten healthy human hearts whose cardiac fiber architecture is imaged ex vivo with DT-MRI acquisitions. The atlas construction is based on a computational framework that minimizes user interactions and combines most recent advances in image analysis: graph cuts for segmentation, symmetric log-domain diffeomorphic demons for registration, and log-Euclidean metric for diffusion tensor processing and statistical analysis. Results show that the helix angle of the average fiber orientation is highly correlated to the transmural depth and ranges from -41° on the epicardium to +66° on the endocardium. Moreover, we find that the fiber orientation dispersion across the population (13°) is lower than for the laminar sheets (31°). This study, based on human hearts, extends previous studies on other mammals with concurring conclusions and provides a description of the cardiac fiber architecture more specific to human and better suited for clinical applications. Indeed, this statistical atlas can help to improve the computational models used for radio-frequency ablation, cardiac resynchronization therapy, surgical ventricular restoration, or diagnosis and followups of heart diseases due to fiber architecture anomalies.
  • Keywords
    biodiffusion; biomedical MRI; cardiology; diseases; image registration; image segmentation; medical image processing; physiological models; statistical analysis; surgery; DT-MRI acquisitions; atlas construction; cardiac resynchronization therapy; clinical applications; computational framework; computational models; diffusion tensor processing; endocardium; epicardium; ex-vivo imaging; fiber architecture anomaly; fiber orientation; fiber orientation dispersion; graph cuts; healthy population; heart diseases; helix angle; human atlas; human cardiac fiber architecture; human datasets; human hearts; image analysis; image registration; image segmentation; laminar sheets; log-Euclidean metric; radiofrequency ablation; statistical analysis; statistical atlas; surgical ventricular restoration; symmetric log-domain diffeomorphic demons; transmural depth; user interactions; Computer architecture; Diffusion tensor imaging; Heart; Humans; Image segmentation; Myocardium; Tensile stress; Atlases; diffusion weighted imaging; heart; Adolescent; Adult; Aged; Anatomy, Artistic; Atlases as Topic; Computer Graphics; Databases, Factual; Diffusion Magnetic Resonance Imaging; Female; Heart; Humans; Image Processing, Computer-Assisted; Male; Middle Aged;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/TMI.2012.2192743
  • Filename
    6177265