Multi-rate higher order singular value decomposition for enhanced non-contrast ultrasound Doppler imaging of slow flow

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work a multi-rate higher order singular value decomposition (MRHOSVD) framework for enhanced non-contrast ultrasound Doppler imaging is proposed. Our method is based on Tucker decomposition of multidimensional plane wave ultrasound echo data at multiple temporal resolutions simultaneously. We present simulation and in vivo results where the new method outperforms classic singular value clutter filtering in separation of blood activities from tissue motions with significant bandwidth overlap.

Original languageEnglish (US)
Title of host publication2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
PublisherIEEE Computer Society
Pages1178-1181
Number of pages4
Volume2018-April
ISBN (Electronic)9781538636367
DOIs
StatePublished - May 23 2018
Externally publishedYes
Event15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States
Duration: Apr 4 2018Apr 7 2018

Other

Other15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
CountryUnited States
CityWashington
Period4/4/184/7/18

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Keywords

  • Doppler
  • Higher order SVD
  • Multi-rate
  • Tucker decomposition
  • Ultrasound

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Bayat, M., Alizad, A., & Fatemi, M. (2018). Multi-rate higher order singular value decomposition for enhanced non-contrast ultrasound Doppler imaging of slow flow. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 (Vol. 2018-April, pp. 1178-1181). IEEE Computer Society. https://doi.org/10.1109/ISBI.2018.8363781