Paper Info
Title
The Spectral Calibration of Swept-Source Optical Coherence Tomography Systems Using Unscented Kalman Filter
Abstract
The ever-increasing demand for acquiring images at a faster rate and consequently of deeper layers of tissue in swept-source optical coherence tomography (SS-OCT), has motivated researchers to investigate techniques capable of performing fast acquisition without compromising sensitivity. Non-linear spectral sweeps, phase instability, and increased noise levels of swept lasers can cause the image quality to deteriorate, especially if a lower quality light source is used. This work leverages the unscented Kalman filter aiming to alleviate these shortcomings. Using this filter, both the non-idealities of the non-linear sweep and the increased noise levels are accounted for. Simulations show promising performance results in terms of extracting the non-linear spectral sweep as a function of time. The UKF also shows better metrics compared to other versions of the Kalman filter when it comes to tracking non-linearities and hardware implementation complexity giving the method significant advantages in real-time applications of hand-held, portable optical coherence tomography devices.
Year
DOI
Venue
2018
10.1109/BIOCAS.2018.8584823
2018 IEEE Biomedical Circuits and Systems Conference (BioCAS)
Keywords
Field
DocType
Swept Source Optical Coherence Tomography (SS-OCT),Unscented Kalman Filtering (UKF),Extended Kalman Filtering (EKF),denoising,spectral calibration,Mach-Zehnder interferometer (MZI)
Computer vision,Optical coherence tomography,Computer science,Image quality,Electronic engineering,Kalman filter,Laser,Interferometry,Artificial intelligence,Light source,Calibration
Conference
ISSN
ISBN
Citations 
2163-4025
978-1-5386-3604-6
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Amir Tofighi Zavareh122.04
Sebastian Hoyos223429.24