Micro-embolus sub-band detection based on doppler energy fluctuations

Maroun Geryes (1) , Sébastien Ménigot (2) , Jamal Charara (1) , Jean Marc Girault (2)

1 LU / ULB - الجامعة اللبنانية [بيروت] = Lebanese University [Beirut] = Université libanaise [Beyrouth]
2 iBraiN - Imaging, Brain & Neuropsychiatry

Robust detection of the smallest circulating cerebral microemboli is an efficient way of preventing cerebrovascular accidents (CVA). Transcranial Doppler ultrasound is widely considered as the most convenient system for the detection of microemboli. Standard detection used in commercial device is achieved through the whole Doppler energy spectrum where constant empirical thresholds are implemented. However, the nature of microembolic events is narrow band. Some microembolic detectors are thus composed of N detectors associated to N frequency sub-bands. Unfortunately employing a simple constant threshold in each sub-band is not sufficient, because the Doppler signal is heteroskedastic due to the cardiac cycle. In this study, we propose a new type of microembolic detectors based of N frequency sub-bands. On each sub-band, a time-varying threshold is applied from energy fluctuations.

Mots clés: transcranial Doppler ultrasound; micro-emboli; energy detector; sub-band decomposition; negative energy fluctuations

Domaines: Traitement du signal et de l'image [eess.SP]; Acoustique [physics.class-ph]

Maroun Geryes, Sébastien Ménigot, Jamal Charara, Jean Marc Girault. Micro-embolus sub-band detection based on doppler energy fluctuations: An Energy Detector Based on Negative Energy Fluctuations Coupled with Sub-band Decomposition as a Robust Micro-embolus Detection System. IEEE International Ultrasonic Symposium 2017, Sep 2017, Washington, United States. 2017. ⟨hal-01631593⟩