Benefits of the REFoCUS beamforming algorithm

Software beamforming in medical ultrasound imaging allows more sophisticated algorithms and better ways to exploit the raw channel data recorded with the ultrasound probe. A quite recent beamforming algorithm, known as REFoCUS can decode any set of transmit ultrasound beams into the “complete data set”, also known as a Synthetic Transmit Aperture Imaging (STAI) dataset. REFoCUS stands for Retrospective Encoding For Conventional Ultrasound Sequences and was introduced by Nick Bottenus is the paper 

Bottenus, N. "Recovery of the complete data set from focused transmit beams". IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 65, no. 1, pp. 30-38, Jan. 2018. 

And extended in the paper 

Ali, R.; Dahl, J.; Bottenus, N. "Extending Retrospective Encoding For Robust Recovery of the Multistatic Dataset". IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 67, no. 5, pp. 943-956, Dec. 2019.

The authors have provided open source code and datasets of their algorithm at https://github.com/nbottenus/REFoCUS. The specific task for the master project is to modify the open source implementation of REFoCUS to work with the UltraSound ToolBox (USTB) and compare it with the more conventional Retrospective Transmit Beamforming (RTB) implemented in the USTB. It is interesting to investigate if REFoCUS have benefits over conventional RTB or if they result in quite similar images. It is also interesting to investigate potential benefits for adaptive beamformers. 

Qualifications:

  • Excellent MATLAB programming skills (Object oriented MATLAB)
  • Signal processing (IN3190/4190, INF4480, IN5450, and preferably IN3015/4015)
  • Git Version Control

Literature (for example):

  • Bottenus, N. "Recovery of the complete data set from focused transmit beams". IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 65, no. 1, pp. 30-38, Jan. 2018. 
  • Ali, R.; Dahl, J.; Bottenus, N. "Extending Retrospective Encoding For Robust Recovery of the Multistatic Dataset". IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 67, no. 5, pp. 943-956, Dec. 2019.
  • Rindal, O. M. H., Rodriguez-Molares, A., & Austeng, A. (2018). A simple , artifact-free , virtual source model. IEEE International Ultrasonics Symposium, IUS, 1–4.
Emneord: ultrasound, imaging, beamforming, USTB
Publisert 27. sep. 2021 15:44 - Sist endret 27. sep. 2021 15:46

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