title: Multigate doppler signal analysis using 3-D regularized long AR modelling.
abstract: Autoregressive (AR) modelling has already been proposed as an alternative to fast Fourier transform to process ultrasound (US) Doppler signals. Previous works introduced long AR models, set up under a regularization framework. The latter may be in 1-D (frequency) or 2-D (frequency and space or time). This study generalizes the spectrum regularization in the three dimensions frequency, space and time. The problem of the penalization function is addressed, and a new convex solution is proposed, taking into account possible nonstationarity of the Doppler signal. The parameter tuning is based on simulations using a standard Doppler signal model. The first results show that this processing improves the spectral estimation, and is well suited to flow interpretation.
authors.affiliation: U494 INSERM, CHU Pitié-Salpêtrière, 91 Bld de l'Hôpital, Paris, France. bertho@imed.jussieu.fr
authors.forename: C
authors.initials: C
authors.lastname: Berthomier
authors.forename: A
authors.initials: A
authors.lastname: Herment
authors.forename: J F
authors.initials: JF
authors.lastname: Giovannelli
authors.forename: G
authors.initials: G
authors.lastname: Guidi
authors.forename: L
authors.initials: L
authors.lastname: Pourcelot
authors.forename: B
authors.initials: B
authors.lastname: Diebold
mesh_terms: D000465:Algorithms; D002339:Carotid Arteries / Q000000981:diagnostic imaging*; D005583:Fourier Analysis; D006321:Heart / Q000502:physiology; D006801:Humans; D008962:Models, Theoretical; D012815:Signal Processing, Computer-Assisted; D018608:Ultrasonography, Doppler / Q000379:methods*