Improved tendon tracking using singular value decomposition clutter suppression
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  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  to suppress clutter, compared it to previous NCC and validated it on human cadaver tendon motion studies.
|Persistent URL||dx.doi.org/10.1109/ULTSYM.2017.8091643, hdl.handle.net/1765/103763|
|Conference||2017 IEEE International Ultrasonics Symposium, IUS 2017|
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