Adaptive spectral estimators for fast flow-profile detection

In multigate spectral Doppler (MSD) analysis, hundreds of small sample volumes (SVs) aligned along a pulse wave-line can be simultaneously investigated. The so-called spectral profile, reporting the scatterers' velocity distribution in a vessel, is obtained by estimating the frequency content of the echoes detected from each SV. The preferred frequency estimator is the Welch method, which is robust and fast, but requires an observation window (OW) of at least 64 to 128 samples to guarantee adequate spectral resolution. The blood amplitude and phase estimator (BAPES) and the blood iterative adaptive approach (BIAA) are alternative methods which were recently proven to be capable of producing good spectrograms from one SV using shorter OWs. This paper shows that BAPES and BIAA can be successfully applied to MSD estimations. The use of short OWs can be exploited to produce spectral profiles with high temporal resolution and/or to perform simultaneous investigations at multiple sites. Two in vivo examples of application are reported: in the first, the blood velocity distribution during the fast systolic acceleration in a carotid artery is detailed with high temporal resolution; in the second, four spectral profiles are simultaneously detected at different sites of the carotid bifurcation.

[1]  A. Dallai,et al.  A reconfigurable and programmable FPGA-based system for nonstandard ultrasound methods , 2012, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[2]  George-Othon Glentis,et al.  Efficient Implementation of Iterative Adaptive Approach Spectral Estimation Techniques , 2011, IEEE Transactions on Signal Processing.

[3]  Andreas Jakobsson,et al.  Blood velocity estimation using ultrasound and spectral iterative adaptive approaches , 2011, Signal Process..

[4]  P. Tortoli,et al.  Detection of chronic cerebrospinal venous insufficiency through multigate Quality Doppler Profiles , 2010, 2010 IEEE International Ultrasonics Symposium.

[5]  P. Tortoli,et al.  Velocity profile detection through adaptive spectral estimators , 2010, 2010 IEEE International Ultrasonics Symposium.

[6]  Lasse Lovstakken,et al.  Eigen-based clutter filter design for ultrasound color flow imaging: a review , 2010, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[7]  A. Dallai,et al.  ULA-OP: an advanced open platform for ultrasound research , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[8]  P. Tortoli,et al.  Volumetric blood flow assessment through multigate spectral Doppler , 2009, 2009 IEEE International Ultrasonics Symposium.

[9]  S. Diciotti,et al.  Accuracy and reproducibility of a novel dual-beam vector Doppler method. , 2009, Ultrasound in medicine & biology.

[10]  F. Gran,et al.  Adaptive spectral doppler estimation , 2009, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[11]  F. Gran,et al.  In-vivo validation of fast spectral velocity estimation techniques - preliminary results , 2008, 2008 IEEE Ultrasonics Symposium.

[12]  George-Othon Glentis,et al.  A Fast Algorithm for APES and Capon Spectral Estimation , 2008, IEEE Transactions on Signal Processing.

[13]  P. Tortoli,et al.  Multichannel FPGA-based arbitrary waveform generator for medical ultrasound , 2007 .

[14]  P Tortoli,et al.  Effect of vessel curvature on Doppler derived velocity profiles and fluid flow. , 2005, Ultrasound in medicine & biology.

[15]  E. Shalev,et al.  Umbilical-placental blood flow gradient during the early second trimester of pregnancy. , 2005, The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians.

[16]  Elif Derya Übeyli,et al.  Spectral analysis of internal carotid arterial Doppler signals using FFT, AR, MA, and ARMA methods , 2004, Comput. Biol. Medicine.

[17]  R. Liang,et al.  Assessment of Blood Flow Velocity Waveforms of the Pulmonary Circulation by Multigate Spectral Doppler Scanning and Traditional Pulsed Doppler Ultrasonography , 2002, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[18]  Erik G. Larsson,et al.  Fast Implementation of Two-Dimensional APES and CAPON Spectral Estimators , 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

[19]  P Tortoli,et al.  Application of autoregressive methods to multigate spectral analysis. , 2000, Ultrasound in medicine & biology.

[20]  W. McDicken,et al.  Doppler Ultrasound: Physics, Instrumentation and Signal Processing , 2000 .

[21]  Jian Li,et al.  An adaptive filtering approach to spectral estimation and SAR imaging , 1996, IEEE Trans. Signal Process..

[22]  A. Coats,et al.  Validation of the beat to beat measurement of blood velocity in the human ascending aorta by a new high temporal resolution Doppler ultrasound spectral analyser , 1992, British heart journal.

[23]  P. Welch.  The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .

[24]  Oddershede,et al.  Estimating 2-D Vector Velocities Using Multidimensional Spectrum Analysis , 2018 .

[25]  George-Othon Glentis,et al.  Efficient Algorithms for Adaptive Capon and APES Spectral Estimation , 2010, IEEE Transactions on Signal Processing.

[26]  Erik G. Larsson,et al.  HIGH-RESOLUTION NONPARAMETRIC SPECTRAL ANALYSIS: THEORY AND APPLICATIONS , 2003 .

[27]  D H Evans,et al.  Statistical bias and variance in blood flow estimation by spectral analysis of Doppler signals. , 1995, Ultrasound in medicine & biology.

[28]  A. Baggeroer,et al.  Ieee Transactions on Aerospace and Electronic Systems I Source Localization and Sensing: a Nonparametric Iterative Adaptive Approach Based on Weighted Least Squares Ieee Transactions on Aerospace and Electronic Systems , 2022 .