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Data Weighting for Principal Component Noise Reduction in Contrast Enhanced Ultrasound

  • Gord Lueck
  • Peter N. Burns
  • Anne L. Martel
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4191)

Abstract

Pulse inversion ultrasound is a mechanism for preferentially displaying contrast agent in blood vessels while suppressing signal from tissue. We seek a method for identifying and segmenting areas of the liver with similar statistically significant time intensity curves. As a first step in this process, a method of weighting Rayleigh distributed ultrasound image data before principal components analysis is presented. Simulation studies show that relative mean squared error can be reduced by 14% when the correct number of dimensions in selected. Our method is tested on an in vitro ultrasound phantom showing slightly increased error suppression, and is demonstrated on a clinical liver scan, showing decreased correlation between signals in the low intensity range.

Keywords

Pulse Inversion Time Intensity Curve Significant Time Intensity Curve Weighted Principal Component Analysis Contrast Ultrasound Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Gord Lueck
    • 1
    • 2
  • Peter N. Burns
    • 1
    • 2
  • Anne L. Martel
    • 1
    • 2
  1. 1.Sunnybrook Health Sciences CentreTorontoCanada
  2. 2.Department of Medical BiophysicsUniversity of TorontoCanada

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