Adaptive Maximal Blood Flow Velocity Estimation From Transcranial Doppler Echos.

ABSTRACT:

Objective

Novel applications of transcranial Doppler (TCD) ultrasonography, such as the assessment of cerebral vessel narrowing/occlusion or the non-invasive estimation of intracranial pressure (ICP), require high-quality maximal flow velocity waveforms. However, due to the low signal-to-noise ratio of TCD spectrograms, measuring the maximal flow velocity is challenging. In this work, we propose a calibration-free algorithm for estimating maximal flow velocities from TCD spectrograms and present a pertaining beat-by-beat signal quality index.

Methods

Our algorithm performs multiple binary segmentations of the TCD spectrogram and then extracts the pertaining envelopes (maximal flow velocity waveforms) via an edge-following step that incorporates physiological constraints. The

SUBMITTER: Wadehn F 

PROVIDER: S-EPMC7398472 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature