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

Mahdi Bayat; Azra Alizad; Mostafa Fatemi

doi:10.1109/ISBI.2018.8363781

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

Mahdi Bayat
, Azra Alizad
, Mostafa Fatemi

Chancellor's Office (Rochester)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

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 language	English (US)
Title of host publication	2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
Publisher	IEEE Computer Society
Pages	1178-1181
Number of pages	4
ISBN (Electronic)	9781538636367
DOIs	https://doi.org/10.1109/ISBI.2018.8363781
State	Published - May 23 2018
Event	15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States Duration: Apr 4 2018 → Apr 7 2018

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
Volume	2018-April
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Other

Other	15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
Country/Territory	United States
City	Washington
Period	4/4/18 → 4/7/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Doppler
Higher order SVD
Multi-rate
Tucker decomposition
Ultrasound

Publisher link

10.1109/ISBI.2018.8363781

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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 (pp. 1178-1181). (Proceedings - International Symposium on Biomedical Imaging; Vol. 2018-April). IEEE Computer Society. https://doi.org/10.1109/ISBI.2018.8363781

Multi-rate higher order singular value decomposition for enhanced non-contrast ultrasound Doppler imaging of slow flow. / Bayat, Mahdi; Alizad, Azra; Fatemi, Mostafa.
2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. IEEE Computer Society, 2018. p. 1178-1181 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. Proceedings - International Symposium on Biomedical Imaging, vol. 2018-April, IEEE Computer Society, pp. 1178-1181, 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, United States, 4/4/18. https://doi.org/10.1109/ISBI.2018.8363781

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

Abstract

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