Toward automated classification of pathological transcranial Doppler waveform morphology via spectral clustering

• Published in: PloS one Vol. 15; no. 2; p. e0228642
• Main Authors: Thorpe, Samuel G., Thibeault, Corey M., Canac, Nicolas, Jalaleddini, Kian, Dorn, Amber, Wilk, Seth J., Devlin, Thomas, Scalzo, Fabien, Hamilton, Robert B.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 06.02.2020; Public Library of Science (PLoS)
• Subjects: Arteries; Automation; Biology and Life Sciences; Blood flow; Blood vessels; Brain Ischemia - diagnosis; Brain Ischemia - physiopathology; Brain research; Cerebral blood flow; Cerebral ischemia; Cerebrovascular Circulation - physiology; Classification; Cluster Analysis; Clustering; Feature extraction; Female; Flow velocity; Genetic variability; Health risks; Humans; Hypertension; Ischemia; Learning algorithms; Machine Learning; Male; Medical schools; Medicine and Health Sciences; Middle Aged; Middle Cerebral Artery; Morphology; Occlusion; Physical Sciences; Research and Analysis Methods; Stenosis; Stroke; Stroke - diagnosis; Stroke - physiopathology; Subjective assessment; Thrombolysis; Thrombolytic drugs; Time; Troughs; Ultrasonography, Doppler, Transcranial - classification; Ultrasound; Veins & arteries; Waveforms; Los Angeles California; United States > US; California

Cerebral Blood Flow Velocity waveforms acquired via Transcranial Doppler (TCD) can provide evidence for cerebrovascular occlusion and stenosis. Thrombolysis in Brain Ischemia (TIBI) flow grades are widely used for this purpose, but require subjective assessment by expert evaluators to be reliable. I...