Multiscale Nakagami parametric imaging for improved liver tumor localization

  • Omar S. Al-Kadi
  • September 2016, Institute of Electrical & Electronics Engineers (IEEE)
  • DOI: 10.1109/icip.2016.7532987

Liver tumor localization

What is it about?

Liver tumor detection and localization in ultrasound images

Why is it important?

Effective ultrasound tissue characterization is usually hindered by complex tissue structures. The interlacing of speckle patterns complicates the correct estimation of backscatter distribution parameters. Nakagami parametric imaging based on localized shape parameter mapping can model different backscattering conditions. However, performance of the constructed Nakagami image depends on the sensitivity of the estimation method to the backscattered statistics and scale of analysis. Using a fixed focal region of interest in estimating the Nakagami parametric image would increase estimation variance. In this work, localized Nakagami parameters are estimated adaptively by means of maximum likelihood estimation on a multiscale basis. The varying size kernel integrates the goodness-of-fit of the backscattering distribution parameters at multiple scales for more stable parameter estimation.


Dr Omar S Al-Kadi
University of Jordan

Results show improved quantitative visualization of changes in liver tissue specular reflections, suggesting a potential approach for improving tumor localization in low contrast B-mode ultrasound images.

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The following have contributed to this page: Dr Omar S Al-Kadi