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Measuring and mapping cardiac fiber and laminar architecture using diffusion tensor MR imaging.
Patrick Helm1, Mirza Faisal Beg, Michael I Miller
1The Center for Cardiovascular Bioinformatics & Modeling, The Johns Hopkins University School of Medicine and Whiting School of Engineering, Baltimore, Maryland 21218, USA.
Annals of the New York Academy of Sciences
|August 12, 2005
Summary
Diffusion tensor magnetic resonance imaging (DTMRI) can map cardiac fiber and sheet orientation in the heart. This technique, combined with large deformation diffeomorphic metric mapping (LDDMM), allows for quantitative analysis of cardiac remodeling in disease.
Area of Science:
- Cardiovascular Imaging and Mechanics
- Biomedical Engineering
- Cardiac Electrophysiology
Background:
- Ventricular myocardium has complex, spatially organized fiber orientations.
- Cardiac fibers are organized into sheets with varying surface orientations.
- Diffusion tensor magnetic resonance imaging (DTMRI) measures fiber orientation at high resolution.
Purpose of the Study:
- To review DTMRI for measuring ventricular fiber orientation.
- To present evidence that the tertiary eigenvector aligns with cardiac sheet surface normal.
- To demonstrate DTMRI's capability in reconstructing ventricular fiber and sheet organization.
Main Methods:
- Utilized DTMRI to measure ventricular fiber and sheet orientation.
- Applied the large deformation diffeomorphic metric mapping (LDDMM) algorithm for image registration.
- Integrated DTMRI anatomical data with epicardial electrical mapping for computational modeling.
Main Results:
- DTMRI can reconstruct both cardiac fiber and sheet organization.
- The tertiary eigenvector of the diffusion tensor aligns with the cardiac sheet surface normal.
- LDDMM enables quantification of variability in ventricular geometry and fiber/sheet orientation.
Conclusions:
- DTMRI and LDDMM facilitate quantitative detection and analysis of cardiac remodeling in disease.
- Combined DTMRI and electrical mapping allow for computational modeling of electrical conduction.
- This integrated approach enables direct comparison of model predictions with experimental results, advancing understanding of microanatomy's influence on cardiac function.