Synchronous Detection of Emboli by wavelet packet decomposition

Jean-Marc Girault (1) , Denis Kouamé (2, 1) , François Tranquart (3)

1 LUSSI - Laboratoire Ultrasons Signaux et Instrumentation
2 IRIT-TCI - Traitement et Compréhension d’Images
3 iBraiN - Imaging, Brain & Neuropsychiatry

We showed in a previous study that the detection of micro-emboli can be markedly improved by taking into account the quasi-cyclostationary properties of the blood Doppler signal. However, in order to detect still smaller events, we propose to combine the use of synchronous detectors and sub-band decomposition. We evaluated and compared the detector's performance to existing methods by using both numerical modeling of the Doppler signal and ROC curves.

Mots clés: Doppler; ultrasound; detection of microemboli; wavelet packet decomposition; cyclostationarity; frequency estimation; medical signal detection

Domaines: Traitement du signal et de l'image [eess.SP]; Imagerie médicale

Jean-Marc Girault, Denis Kouamé, François Tranquart. Synchronous Detection of Emboli by wavelet packet decomposition. IEEE International Conerence on Acoustics, Speech, and Signal Processing (poster session) (ICASSP 2007), Apr 2007, Honolulu, HI, United States. pp.409-412, ⟨10.1109/ICASSP.2007.366703⟩. ⟨hal-03149779⟩