@inproceedings{a1caf0b74cfb4dc09ceaa45622d78cd5,
title = "Improved tendon tracking using singular value decomposition clutter suppression",
abstract = "Ultrasound imaging is a real-time and high frame rate modality suitable for the analysis of tendon dynamics, e.g. for diagnosis of carpal tunnel syndrome. Tendon displacement quantification algorithms based on speckle tracking are sensitive to underestimation due to stationary clutter present in the tendon region. In this study we propose an improved speckle tracking method based on Singular Value Decomposition to suppress the stationary background. The method was optimized using image sequences from a human cadaver arm experiment. The ground truth displacement was found by tracking a metal marker inserted in the tendon. Various parameters involved in our method were optimized for best accuracy. Overall relative error of 3.2±2.3% was observed using our method compared to 7.4±4.8% using our previous speckle tracking method.",
keywords = "Singular value decomposition, Speckle tracking, Tendon, Ultrasound",
author = "Bandaru, {Raja S.} and Stefanie Evers and Selles, {Ruud W.} and Thoreson, {Andrew R.} and Amadio, {Peter C.} and Hovius, {Steven E.} and Bosch, {Johan G.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Ultrasonics Symposium, IUS 2017 ; Conference date: 06-09-2017 Through 09-09-2017",
year = "2017",
month = oct,
day = "31",
doi = "10.1109/ULTSYM.2017.8091977",
language = "English (US)",
series = "IEEE International Ultrasonics Symposium, IUS",
publisher = "IEEE Computer Society",
booktitle = "2017 IEEE International Ultrasonics Symposium, IUS 2017",
}