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

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

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