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Motion Analysis of 3D Ultrasound Texture Patterns

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Functional Imaging and Modeling of the Heart (FIMH 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2674))

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Abstract

We model the process of imaging soft tissues with a 3D ultrasound probe using a linear convolution model, and obtain analytical expressions of both the ultrasound image and its spectrum. We use this model to study the ultrasound decorrelation caused by tissue motion both in the spatial domain and spectral domain. Finally, we propose a spectral-feature-based algorithm to analyze tissue motion. The comparison with intensity-based algorithm shows promising results.

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Author information

Authors and Affiliations

  1. Department of Diagnostic Radiology, Yale University, USA

    Weichuan Yu, Kailasnath Purushothaman, Albert Sinusas & James S. Duncan

  2. Department of Electrical Engineering, Yale University, USA

    Ning Lin & James S. Duncan

  3. Department of Mechanical Engineering, Yale University, USA

    Ping Yan & Kailasnath Purushothaman

  4. Department of Internal Medicine, Yale University, USA

    Albert Sinusas

  5. Philips Medical Systems, 3000 Minuteman Road, Andover, MA, 01810

    Karl Thiele

Authors
  1. Weichuan Yu
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  2. Ning Lin
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  3. Ping Yan
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  4. Kailasnath Purushothaman
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  5. Albert Sinusas
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  6. Karl Thiele
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  7. James S. Duncan
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Editor information

Editors and Affiliations

  1. CREATIS, INSERM, France

    Isabelle E. Magnin

  2. CREATIS, CNRS, INSA, bâatiment Blaise Pascal, 20, avenue Albert Einstein, 69621, Villeurbanne cedex, France

    Johan Montagnat  & Patrick Clarysse  & 

  3. Institute of Biomedical Engineering, Helsinki University of Technology, P.O. Box 2200, 02015, Hut, Finland

    Jukka Nenonen  & Toivo Katila  & 

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© 2003 Springer-Verlag Berlin Heidelberg

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Yu, W. et al. (2003). Motion Analysis of 3D Ultrasound Texture Patterns. In: Magnin, I.E., Montagnat, J., Clarysse, P., Nenonen, J., Katila, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2003. Lecture Notes in Computer Science, vol 2674. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44883-7_26

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  • DOI: https://doi.org/10.1007/3-540-44883-7_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40262-6

  • Online ISBN: 978-3-540-44883-9

  • eBook Packages: Springer Book Archive

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