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Direct Reconstruction Methods in Ultrasound Imaging of Small Anomalies

Part of the Lecture Notes in Mathematics book series (LNMBIOS,volume 2035)

Summary

The aim of this chapter is to review direct (non-iterative) anomaly detection algorithms that take advantage of the smallness of the ultrasound anomalies. In particular, we numerically investigate their stability with respect to medium and measurement noises as well as their resolution.

Keywords

  • Bulk Modulus
  • Ultrasound Image
  • Localization Error
  • Response Matrix
  • Multiple Frequency

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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Acknowledgements

This work was supported by the ERC Advanced Grant Project MULTIMOD–267184.

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Correspondence to Josselin Garnier .

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Ammari, H., Garnier, J., Jugnon, V., Kang, H. (2012). Direct Reconstruction Methods in Ultrasound Imaging of Small Anomalies. In: Ammari, H. (eds) Mathematical Modeling in Biomedical Imaging II. Lecture Notes in Mathematics(), vol 2035. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22990-9_2

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