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Myocardial Spatiotemporal Tracking

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Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models

Part of the book series: Computational Imaging and Vision ((CIVI,volume 23))

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Abstract

The past two decades of magnetic resonance imaging (MRI) research witnessed the development of noninvasive technologies that are capable of both motion quantification and spatiotemporal resolution. Representative examples include the MR tagging [1–5] and the phase contrast MR velocity mapping techniques [6–10]. Among clinical applications that have been established, or are being developed, use of the technologies for evaluating cardiac motion may be one that is most rewarding, yet exceedingly challenging.

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Authors and Affiliations

  1. GE Corporate Research and Development, Schenectady, New York, USA

    Yudong Zhu

  2. Stanford University, Palo Alto, California, USA

    Norbert J. Pelc

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  1. Yudong Zhu
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  2. Norbert J. Pelc
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Editor information

Editors and Affiliations

  1. Washington University, St. Louis, USA

    Amir A. Amini

  2. Johns Hopkins University, Baltimore, USA

    Jerry L. Prince

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© 2001 Kluwer Academic Publishers

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Zhu, Y., Pelc, N.J. (2001). Myocardial Spatiotemporal Tracking. In: Amini, A.A., Prince, J.L. (eds) Measurement of Cardiac Deformations from MRI: Physical and Mathematical Models. Computational Imaging and Vision, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-1265-7_10

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  • DOI: https://doi.org/10.1007/978-94-015-1265-7_10

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-5919-2

  • Online ISBN: 978-94-015-1265-7

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