A fast time-domain algorithm for the assessment of tissue blood flow in laser-Doppler flowmetry.
In this study, we derive a fast, novel time-domain algorithm to compute the nth-order moment of the power spectral density of the photoelectric current as measured in laser-Doppler flowmetry (LDF). It is well established that in the LDF literature these moments are closely related to fundamental physiological parameters, i.e. concentration of moving erythrocytes and blood flow. In particular, we take advantage of the link between moments in the Fourier domain and fractional derivatives in the temporal domain. Using Parseval's theorem, we establish an exact analytical equivalence between the time-domain expression and the conventional frequency-domain counterpart. Moreover, we demonstrate the appropriateness of estimating the zeroth-, first- and second-order moments using Monte Carlo simulations. Finally, we briefly discuss the feasibility of implementing the proposed algorithm in hardware.
Département des Neurosciences Fondamentales, University of Geneva, and Département de l'Imagerie et des Sciences de l'Information Médicale, University Hospital, Geneva, Switzerland. tiziano.binzoni@unige.ch
Tiziano
T
Binzoni
Chandra Sekhar
CS
Seelamantula
Dimitri
D
Van De Ville
D000465:Algorithms; D003198:Computer Simulation; D004867:Equipment Design; D004912:Erythrocytes / Q000502:physiology; D005583:Fourier Analysis; D017078:Laser-Doppler Flowmetry / Q000379:methods*; D008955:Models, Cardiovascular; D009010:Monte Carlo Method; D009038:Motion; D019047:Phantoms, Imaging; D012039:Regional Blood Flow / Q000502:physiology; D013997:Time Factors