Transcranial Doppler Ultrasound Database (Philips CX50 ultrasound system)

There are two code examples included. One is a visualizer for plotting the spectrograms and the other is the actual code for tracing the maximal flow velocity.

• Use the 'spectrogram_viewer.m' MATLAB script in the 'Spectrogram visualizer' folder to visualize the Doppler spectrograms. In this script, set the variables 'filepath' and 'filename' to point to the TCD data.
• The full algorithm that computes the spectrogram from the Doppler echo and estimates the maximal flow velocity is found in the folder named 'TCD tracing code'. The main function is 'computeCBFVMain.m'. Note, the variables 'filepath' and 'filename' need to point to the TCD data.

Data acquisition: The transcranial Doppler data were collected from healthy volunteers at Massachusetts Institute of Technology (MIT) and from patients in neurocritical care at Boston Medical Center (BMC). Data collection occurred between 2016 and 2020, was approved by the MIT and BMC Institutional Review Boards, and informed consent was obtained from the subjects directly at MIT or from the patients or their legally authorized representatives at BMC. The data consists of 16 recordings from healthy subjects and 29 recordings neurocritical care patients. 

Published papers

F. Wadehn and T. Heldt, "Adaptive Maximal Blood Flow Velocity Estimation From Transcranial Doppler Echos," in IEEE Journal of Translational Engineering in Health and Medicine, vol. 8, pp. 1-11, 2020, Art no. 1800511, doi: 10.1109/JTEHM.2020.3011562.

R. Jaishankar, A. Fanelli, A. Filippidis, T. Vu, J. Holsapple and T. Heldt, "A Spectral Approach to Model-Based Noninvasive Intracranial Pressure Estimation," in IEEE Journal of Biomedical and Health Informatics, vol. 24, no. 8, pp. 2398-2406, Aug. 2020, doi: 10.1109/JBHI.2019.2961403.