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Ultrasound Speckle Noise Reduction by Radio-Frequency Data Filtering

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Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 34))

Abstract

Ultrasound is a commonly used imaging modality for the examination of several pathologies due to its non-invasiveness, affordability and easiness of use. However, ultrasound images are degraded by an intrinsic artefact called ‘speckle’, which is the result of the constructive and destructive coherent summation of the ultrasound echoes. This paper aims to generate B-mode images out of radio-frequency (RF) data following standard procedures, a series of steps such as envelope detection, log-compression and scan conversion. Some low pass filters will be applied to RF data in order to achieve B-mode images with high quality by speckle noise reduction.

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References

  1. Ortiz, S.H.C., Chiu, T., Fox, M.D.: Ultrasound image enhancement: a review. Biomed. Signal Process. Control 7(5), 419–428 (2012)

    Article  Google Scholar 

  2. Monteiro, F.C., Rufino, J., Cadavez, V.: Towards a comprehensive evaluation of ultrasound speckle reduction. Lecture Notes in Computer Science, vol. 8814, pp. 141–149 (2014)

    Google Scholar 

  3. Joel, T., Sivakumar, R.: Despeckling of ultrasound medical images: a survey. J. Image Graph. 1(3), 161–165 (2013)

    Article  Google Scholar 

  4. Seabra, J., Sanches, J.: Modeling log-compressed ultrasound images for radio frequency signal recovery. In: International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, Canada, pp. 426–429 (2008)

    Google Scholar 

  5. Wang, S., Li, C., Ding, M., Yuchi, M.: Frequency-shift low-pass filtering and least mean square adaptive filtering for ultrasound imaging. In: Progress in Biomedical Optics and Imaging Proceedings of SPIE, vol. 9790, p. 97900P (2016)

    Google Scholar 

  6. Al-Asad, J.F.: Despeckling the 2D medical ultrasound image through individual despeckling of the envelopes of its 1D radio frequency echo lines by STFT. J. Image Graph. 4, 67–72 (2016)

    Article  Google Scholar 

  7. Destrempes, F., Cloutier, G.: A critical review and uniformized representation of statistical distributions modeling the ultrasound echo envelope. Ultrasound Med. Biol. 36(7), 1037–1051 (2010)

    Article  Google Scholar 

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Correspondence to Fernando C. Monteiro .

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Santo, V., Monteiro, F.C. (2019). Ultrasound Speckle Noise Reduction by Radio-Frequency Data Filtering. In: Tavares, J., Natal Jorge, R. (eds) VipIMAGE 2019. VipIMAGE 2019. Lecture Notes in Computational Vision and Biomechanics, vol 34. Springer, Cham. https://doi.org/10.1007/978-3-030-32040-9_5

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