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.

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Persistent URL dx.doi.org/10.1109/ULTSYM.2017.8091643, hdl.handle.net/1765/103763
Conference 2017 IEEE International Ultrasonics Symposium, IUS 2017
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Citation
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 IEEE International Ultrasonics Symposium, IUS. doi:10.1109/ULTSYM.2017.8091643