Frequency tracking in optical Doppler tomography using an adaptive notch filter.
Optical Doppler tomography is a valuable functional extension of optical coherence tomography (OCT) that can be used to study subsurface blood flows of biological tissues. We propose a novel frequency estimation technique that uses an adaptive notch filter (ANF) to track the depth-resolved Doppler frequency. This new technique is a minimal-parameter filter and works in the time domain without the need of Fourier transformation. Therefore, the algorithm has a computationally efficient structure that may be well suited for implementation in real-time ODT systems. Our simulations and imaging results also demonstrate that this filter has good performance in terms of noise robustness and estimation accuracy compared with existing estimation algorithms.
Chen
Yueli
Y
University of Connecticut, Electrical and Computer Engineering Department, Storrs, Connecticut 06269, USA.
Willett
Peter
P
Zhu
Quing
Q
D000465:Algorithms; D001783:Blood Flow Velocity / Q000502:physiology*; D003199:Computer Systems; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D041622:Tomography, Optical / Q000379:methods*; D018608:Ultrasonography, Doppler / Q000379:methods*