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Computational Elastography from Standard Ultrasound Image Sequences by Global Trust Region Optimization

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3565))

Abstract

A new approach is proposed to estimate the spatial distribution of shear modulus of tissues in-vivo. An image sequence is acquired using a standard medical ultrasound scanner while varying the force applied to the handle. The elastic properties are then recovered simultaneously with the inter-frame displacement fields using a computational procedure based on finite element modeling and trust region constrained optimization. No assumption about boundary conditions is needed. The optimization procedure is global, taking advantage of all available images. The algorithm was tested on phantom, as well as on real clinical images.

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© 2005 Springer-Verlag Berlin Heidelberg

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Kybic, J., Smutek, D. (2005). Computational Elastography from Standard Ultrasound Image Sequences by Global Trust Region Optimization. In: Christensen, G.E., Sonka, M. (eds) Information Processing in Medical Imaging. IPMI 2005. Lecture Notes in Computer Science, vol 3565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11505730_25

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  • DOI: https://doi.org/10.1007/11505730_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26545-0

  • Online ISBN: 978-3-540-31676-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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