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Recent Global Research and Education: Technological Challenges pp 309–315Cite as

Displacement Field Estimation for Echocardiography Strain Imaging Using B-Spline Based Elastic Image Registration—Synthetic Data Study

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 519))

Abstract

Strain imaging in echocardiography allows identification of myocardium dysfunctions. This paper describes the use of own implementation of elastic image registration, to calculate displacement field in two-dimensional echocardiographic data. Performance of the algorithm was examined on synthetic ultrasonic data. A series of tests examining the influence of algorithm parameters on the outcome was conducted. Displacement fields were compared with reference data from the finite element model used for generation of the synthetic data. Quality of image registration was evaluated using two error measures: mean absolute error and median absolute error. The displacement field errors obtained in the direction transverse to the ultrasound wave had an order of magnitude 10−5 m and errors in the direction along ultrasound wave: 10−6 m, which is close to the accuracy of two state-of-the-art methods for displacements estimation tested on the same input data.

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Authors and Affiliations

  1. Institute of Metrology and Biomedical Engineering, Warsaw University of Technology, Warsaw, Poland

    Aleksandra Wilczewska, Szymon Cygan & Jakub Żmigrodzki

Authors
  1. Aleksandra Wilczewska
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  2. Szymon Cygan
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  3. Jakub Żmigrodzki
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Correspondence to Aleksandra Wilczewska .

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Editors and Affiliations

  1. Institute of Metrology and Biomedical En, Warsaw University of Technology Institute of Metrology and Biomedical En, Warsaw, Poland

    Ryszard Jabłoński

  2. Institute of Metrology and Biomedical En, Warsaw University of Technology Institute of Metrology and Biomedical En, Warsaw, Poland

    Roman Szewczyk

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Wilczewska, A., Cygan, S., Żmigrodzki, J. (2017). Displacement Field Estimation for Echocardiography Strain Imaging Using B-Spline Based Elastic Image Registration—Synthetic Data Study. In: Jabłoński, R., Szewczyk, R. (eds) Recent Global Research and Education: Technological Challenges. Advances in Intelligent Systems and Computing, vol 519. Springer, Cham. https://doi.org/10.1007/978-3-319-46490-9_42

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  • DOI: https://doi.org/10.1007/978-3-319-46490-9_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46489-3

  • Online ISBN: 978-3-319-46490-9

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