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PMID: 18030201 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Reconstruction and visualization of fiber and laminar structure in the normal human heart from ex vivo diffusion tensor magnetic resonance imaging (DTMRI) data.

Investigative radiology ·Vol. 42 ·No. 11 ·2007-11-00 ·Pages 777-89

Rohmer D, Sitek A, Gullberg GT

Abstract

The human heart is composed of a helical network of muscle fibers organized to form sheets that are separated by cleavage planes responsible for the orthotropic mechanical properties of cardiac muscle. The purpose of this study is the reconstruction and visualization of these structures in 3 dimensions. Anisotropic least square filtering followed by fiber and sheet tracking techniques were applied to diffusion tensor magnetic resonance imaging data of the excised human heart. Fibers were reconstructed using the first eigenvectors of the diffusion tensors. The sheets were reconstructed using the second and third eigenvectors and visualized as surfaces. The fibers are shown to lie in sheets that have transmural structure, which correspond to histologic studies published in the literature. Quantitative measurements show that the sheets as appose to the fibers are organized into laminar orientations without dominant populations. A visualization algorithm was developed to demonstrate the complex 3-dimensional orientation of the fibers and sheets in human myocardium.

MeSH Terms
Algorithms Computer Graphics Diffusion Magnetic Resonance Imaging/methods Humans Image Enhancement/methods Image Interpretation, Computer-Assisted/methods Imaging, Three-Dimensional/methods Muscle Fibers, Skeletal/cytology Myocardium/cytology Reference Values User-Computer Interface
Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Rohmer Damien
Life Sciences Division, Ernest Orlando Lawrence Berkeley National Laboratory, Berkeley, California, USA.
Sitek Arkadiusz
Gullberg Grant T
Article Info
Journal
Investigative radiology
Abbr.
Invest Radiol
ISSN
0020-9996
Published
2007-11-00
Pages
777-89
Language
English
Region
United States
NLM ID
0045377
Subset
IM
Grants
NIBIB NIH HHS · R01EB000121 · United States
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