Title :
Statistical Properties of Phase-Decorrelation in Phase-Resolved Doppler Optical Coherence Tomography
Author :
Vakoc, Benjamin J. ; Tearney, Guillermo J. ; Bouma, Brett E.
Author_Institution :
Harvard Med., Sch., Massachusetts Gen. Hosp., Boston, MA
fDate :
6/1/2009 12:00:00 AM
Abstract :
Decorrelation noise limits the ability of phase-resolved Doppler optical coherence tomography systems to detect smaller vessels exhibiting slower flow velocities, which limits the utility of the technique in many clinical and biological settings. An understanding of the statistical properties of decorrelation noise can aid in the optimal design of these systems and guide the development of noise mitigating strategies. In this work, the statistical properties of decorrelation noise are derived from the underlying statistics of the coherent imaging system and validated through comparison with empirical results and Monte Carlo modeling. Expressions for the noise distribution and the noise variance as a function of relevant imaging system parameters are given, and the implications of these results on both system and algorithm design are discussed.
Keywords :
Doppler measurement; Monte Carlo methods; biomedical optical imaging; blood vessels; decorrelation; haemodynamics; haemorheology; interference suppression; medical image processing; optical tomography; statistical analysis; Monte Carlo modeling; PR-DOCT technique; flow velocity; imaging algorithm; microvascular imaging; noise distribution; noise mitigating strategy; noise variance; optimal imaging system algorithm design; phase-decorrelation noise; phase-resolved Doppler optical coherence tomography; small vessel detection; statistical properties; Biomedical optical imaging; Decorrelation; Image motion analysis; Monte Carlo methods; Optical imaging; Optical noise; Phase detection; Phase noise; Statistical distributions; Tomography; Decorrelation noise; Doppler optical coherence tomography; optical coherence tomography; phase-resolved; Algorithms; Animals; Doppler Effect; Humans; Models, Theoretical; Monte Carlo Method; Reproducibility of Results; Tomography, Optical Coherence;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2009.2012891