TY - GEN
T1 - Quantitative assessment of flow velocity estimation algorithms for optical Doppler tomography imaging
AU - Piao, Daqing
AU - Zhu, Quing
AU - Otis, Linda L.
AU - Kutta, Niloy K.
N1 - Publisher Copyright:
© 2002 OSA/BOSD, AOIMP, TLA.
PY - 2002
Y1 - 2002
N2 - We present quantitative comparisons of three categories of velocity estimation algorithms including centroid techniques (adaptive centroid technique and weighted centroid technique), sliding-window filtering technique, and correlation techniques (autocorrelation and cross-correlation). We introduce, among these five algorithms, two new algorithms: weighted centroid and sliding-window filtering. Simulations and in vivo blood flow data are used to assess the velocity estimation accuracies of these algorithms. The comparison demonstrates that the sliding-window filtering technique is superior to the other techniques in terms of velocity estimation accuracy and robustness to noise.
AB - We present quantitative comparisons of three categories of velocity estimation algorithms including centroid techniques (adaptive centroid technique and weighted centroid technique), sliding-window filtering technique, and correlation techniques (autocorrelation and cross-correlation). We introduce, among these five algorithms, two new algorithms: weighted centroid and sliding-window filtering. Simulations and in vivo blood flow data are used to assess the velocity estimation accuracies of these algorithms. The comparison demonstrates that the sliding-window filtering technique is superior to the other techniques in terms of velocity estimation accuracy and robustness to noise.
UR - https://www.scopus.com/pages/publications/85135962381
M3 - Conference contribution
AN - SCOPUS:85135962381
T3 - Optics InfoBase Conference Papers
BT - Biomedical Topical Meeting, BIOMED 2002
PB - Optica Publishing Group (formerly OSA)
T2 - Biomedical Topical Meeting, BIOMED 2002
Y2 - 7 April 2002 through 10 April 2002
ER -