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Generating 3-D cardiac material markers using tagged MRI

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Information Processing in Medical Imaging (IPMI 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1230))

Abstract

Tagged magnetic resonance imaging (MRI) has shown great promise in noninvasive analysis of heart motion. To replace implanted markers as a gold standard, however, tagged MRI must be able to track a sparse set of material points, so-called material markers, with high accuracy. This paper presents a new method for generating accurate motion estimates over a sparse set of material points using standard, parallel-tagged MR images. The tracked points are located at intersections of three tag surfaces, each of which is estimated using thin-plate splines. The intersections are determined by an iterative alternating projections algorithm for which a proof of convergence is provided. The resulting data sets are compatible with applications developed to exploit implanted marker data. One example from a normal human volunteer is shown in detail, and numerical results that include additional studies are discussed.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, The Johns Hopkins University, 21218, Baltimore, MD

    William S. Kerwin & Jerry L. Prince

Authors
  1. William S. Kerwin
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  2. Jerry L. Prince
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Editor information

James Duncan Gene Gindi

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© 1997 Springer-Verlag Berlin Heidelberg

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Kerwin, W.S., Prince, J.L. (1997). Generating 3-D cardiac material markers using tagged MRI. In: Duncan, J., Gindi, G. (eds) Information Processing in Medical Imaging. IPMI 1997. Lecture Notes in Computer Science, vol 1230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63046-5_24

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  • DOI: https://doi.org/10.1007/3-540-63046-5_24

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63046-3

  • Online ISBN: 978-3-540-69070-2

  • eBook Packages: Springer Book Archive

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