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A curvature-based approach for left ventricular shape analysis from cardiac magnetic resonance imaging

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Abstract

It is believed that left ventricular (LV) regional shape is indicative of LV regional function, and cardiac pathologies are often associated with regional alterations in ventricular shape. In this article, we present a set of procedures for evaluating regional LV surface shape from anatomically accurate models reconstructed from cardiac magnetic resonance (MR) images. LV surface curvatures are computed using local surface fitting method, which enables us to assess regional LV shape and its variation. Comparisons are made between normal and diseased hearts. It is illustrated that LV surface curvatures at different regions of the normal heart are higher than those of the diseased heart. Also, the normal heart experiences a larger change in regional curvedness during contraction than the diseased heart. It is believed that with a wide range of dataset being evaluated, this approach will provide a new and efficient way of quantifying LV regional function.

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Acknowledgments

This work was supported in part by a research grant from the National Heart Centre, Singapore.

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Authors and Affiliations

  1. Institute of High Performance Computing, Singapore, Singapore

    Si Yong Yeo & Yi Su

  2. Department of Cardiology, National Heart Centre, Mistri Wing, 17 Third Hospital Avenue, Singapore, Singapore

    Liang Zhong & Ru San Tan

  3. College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People’s Republic of China

    Liang Zhong

  4. Parkway Academy, Singapore, Singapore

    Dhanjoo N. Ghista

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  1. Si Yong Yeo
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  2. Liang Zhong
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  3. Yi Su
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  4. Ru San Tan
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  5. Dhanjoo N. Ghista
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Correspondence to Liang Zhong.

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Yeo, S.Y., Zhong, L., Su, Y. et al. A curvature-based approach for left ventricular shape analysis from cardiac magnetic resonance imaging. Med Biol Eng Comput 47, 313–322 (2009). https://doi.org/10.1007/s11517-008-0401-4

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  • DOI: https://doi.org/10.1007/s11517-008-0401-4

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