Improved tendon tracking using singular value decomposition clutter suppression

Raja Sekhar Bandaru, Stefanie Evers, Ruud W. Selles, Andrew R. Thoreson, Peter C Amadio, Johan G. Bosch

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

Abstract

Carpal tunnel syndrome (CTS) is the most common wrist neuropathy. Ultrasound can image the tendons in real-time, enabling analysis of tendon dynamics. We earlier developed and validated a speckle tracking algorithm [1] using Normalized Cross Correlation (NCC) on a stationary region of interest (ROI) over the tendon path (Fig 1a). However, NCC is sensitive to clutter and shadows which lead to motion underestimation. In this study, we use Singular Value Decomposition (SVD) filtering [2] to suppress clutter, compared it to previous NCC and validated it on human cadaver tendon motion studies.

Original languageEnglish (US)
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
DOIs
StatePublished - Oct 31 2017
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: Sep 6 2017Sep 9 2017

Other

Other2017 IEEE International Ultrasonics Symposium, IUS 2017
CountryUnited States
CityWashington
Period9/6/179/9/17

Fingerprint

tendons
clutter
retarding
cross correlation
decomposition
wrist
tunnels

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Bandaru, R. S., Evers, S., Selles, R. W., Thoreson, A. R., Amadio, P. C., & Bosch, J. G. (2017). Improved tendon tracking using singular value decomposition clutter suppression. In 2017 IEEE International Ultrasonics Symposium, IUS 2017 [8091643] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8091643

Improved tendon tracking using singular value decomposition clutter suppression. / Bandaru, Raja Sekhar; Evers, Stefanie; Selles, Ruud W.; Thoreson, Andrew R.; Amadio, Peter C; Bosch, Johan G.

2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017. 8091643.

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

Bandaru, RS, Evers, S, Selles, RW, Thoreson, AR, Amadio, PC & Bosch, JG 2017, Improved tendon tracking using singular value decomposition clutter suppression. in 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8091643, IEEE Computer Society, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, United States, 9/6/17. https://doi.org/10.1109/ULTSYM.2017.8091643
Bandaru RS, Evers S, Selles RW, Thoreson AR, Amadio PC, Bosch JG. Improved tendon tracking using singular value decomposition clutter suppression. In 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society. 2017. 8091643 https://doi.org/10.1109/ULTSYM.2017.8091643
Bandaru, Raja Sekhar ; Evers, Stefanie ; Selles, Ruud W. ; Thoreson, Andrew R. ; Amadio, Peter C ; Bosch, Johan G. / Improved tendon tracking using singular value decomposition clutter suppression. 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017.
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