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Tensors in Image Processing and Computer Vision pp 355–379Cite as

Strain Rate Tensor Estimation in Cine Cardiac MRI Based on Elastic Image Registration

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Part of the book series: Advances in Pattern Recognition ((ACVPR))

Abstract

In this work we propose an alternative method to estimate and visualize the Strain Rate Tensor (SRT) in Magnetic Resonance Images (MRI) when Phase Contrast MRI (PCMRI) and Tagged MRI (TMRI) are not available. This alternative is based on image processing techniques. Concretely, image registration algorithms are used to estimate the movement of the myocardium at each point. Additionally, a consistency checking method is presented to validate the accuracy of the estimates when no golden standard is available. Results prove that the consistency checking method provides an upper bound of the mean squared error of the estimate. Our experiments with real data show that the registration algorithm provides a useful deformation field to estimate the SRT fields. A classification between regional normal and dysfunctional contraction patterns, as compared with experts diagnosis, points out that the parameters extracted from the estimated SRT can represent these patterns. Additionally, a scheme for visualizing and analyzing the local behavior of the SRT field is presented.

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Author information

Authors and Affiliations

  1. LPI, Universidad de Valladolid, Italy

    Gonzalo Vegas Sánchez-Ferrero, Antonio Tristán Vega, Lucilio Cordero Grande, Pablo Casaseca de la Higuera, Santiago Aja Fernández, Marcos Martín Fernández & Carlos Alberola López

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  1. Gonzalo Vegas Sánchez-Ferrero
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  2. Antonio Tristán Vega
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  3. Lucilio Cordero Grande
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  4. Pablo Casaseca de la Higuera
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  5. Santiago Aja Fernández
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  6. Marcos Martín Fernández
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  7. Carlos Alberola López
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Corresponding author

Correspondence to Gonzalo Vegas Sánchez-Ferrero .

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Editors and Affiliations

  1. Escuela Técnica Superior de Ingenieros de Telecomunicacíon, Universidad de Valladolid, Campus Miguel Delibes, 47011 Valladolid, Spain

    Santiago Aja-Fernández  & Rodrigo de Luis García  & 

  2. Dept. Computing, HongKong Polytechnic University, Hong Kong

    Dacheng Tao

  3. University of London Birkbeck College School of Computer Science & Information Systems, Malet Street, London, WC1E 7HX, UK

    Xuelong Li

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Sánchez-Ferrero, G.V. et al. (2009). Strain Rate Tensor Estimation in Cine Cardiac MRI Based on Elastic Image Registration. In: Aja-Fernández, S., de Luis García, R., Tao, D., Li, X. (eds) Tensors in Image Processing and Computer Vision. Advances in Pattern Recognition. Springer, London. https://doi.org/10.1007/978-1-84882-299-3_17

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  • DOI: https://doi.org/10.1007/978-1-84882-299-3_17

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-84882-298-6

  • Online ISBN: 978-1-84882-299-3

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