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Oblique 3D MRI tags for the estimation of true 3D cardiac motion parameters

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Abstract

Aim of this study is to demonstrate the advantages of oblique 3D tags in cardiac magnetic resonance imaging (MRI) and the potential to accurately describe the complex motion of the myocardial wall. 3D cardiac Cine data were densely tagged with 3D oblique tags. The latter were tracked using Gabor analysis and active geometries. From the tag intersections, common 2D parameters such as long axis shortening, radial shortening and rotation were evaluated on a global as well as detailed local level. Finally, the same data were used to estimate left ventricular volume change and myocardial stress/strain. We have successfully tracked dense 3D tags and evaluated common parameters on a detailed local level. In addition, inherently 3D parameters could be estimated. Global motion data are in accordance with previously published data. Oblique tags allow for unambiguous localization of the tag plane in all MRI slices and in any time frame. In contrast to HARP, our tag tracking methodology allows for tracking of the tags even when they are dense. Motion parameters can be extracted in greater detail. Moreover, the intersections of dense oblique 3D tags provide a natural basis for a finite element model of the heart. Straight forward access to the 3D characteristics of the cardiac motion is provided.

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Acknowledgments

The first author was supported by the Japan Society for the Promotion of Science (Grant in Aid for Scientific Researchers). Thanks to Dr Leon Axel for helpful discussions.

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Authors and Affiliations

  1. Department of Biomedical Engineering, Graduate School of Informatics, Kyoto University, Yoshida Honmachi, Sakyo-ku, Kyoto, 606-8501, Japan

    Yu Shimizu, Akira Amano & Tetsuya Matsuda

  2. Department of Cognitive Neuroscience, National Institute of Information and Communications Technology, Advanced Telecommunication Research Institute, Funai-gun, Hikari-dai 2-2-2, Seika-cho, Kyoto, 619-0288, Japan

    Yu Shimizu

  3. College of Life Sciences, Ritsumeikan University, Noji Higashi 1-1-1, Kusatsu, Shiga, 525-8577, Japan

    Akira Amano

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  1. Yu Shimizu
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  2. Akira Amano
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Correspondence to Yu Shimizu.

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Shimizu, Y., Amano, A. & Matsuda, T. Oblique 3D MRI tags for the estimation of true 3D cardiac motion parameters. Int J Cardiovasc Imaging 26, 905–921 (2010). https://doi.org/10.1007/s10554-010-9646-8

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  • DOI: https://doi.org/10.1007/s10554-010-9646-8

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