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Biennial International Conference on Information Processing in Medical Imaging

IPMI 1997: Information Processing in Medical Imaging pp 489–494Cite as

Non-rigid curve correspondence for estimating heart motion

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

Abstract

The boundaries of many biological objects are two-dimensional curves which evolve non-rigidly with time. This paper contains a theory and experiments for estimating motion of such curves using local shape. Beginning from first principles, a symmetric and explicitly non-rigid formulation is developed. The formulation uses the topology of correspondences and its associated geometry.

A numerical implementation of the resulting algorithm is also reported. The algorithm is used to estimate non-rigid motion of the endocardium in 21 MRI image sequences of normal and post-infarct dog hearts. Over 500 correspondences were computed. The measured average return error of the algorithm was less than 1 pixel.

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References

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Authors and Affiliations

  1. Department of Diagnostic Radiology, Department of Electrical Engineering, Yale University, 06520, New Haven, CT

    Hemant D. Tagare

Authors
  1. Hemant D. Tagare
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James Duncan Gene Gindi

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© 1997 Springer-Verlag Berlin Heidelberg

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Tagare, H.D. (1997). Non-rigid curve correspondence for estimating heart motion. 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_48

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  • DOI: https://doi.org/10.1007/3-540-63046-5_48

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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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