Travels through the time-frequency zone: advanced Doppler ultrasound processing techniques

Doppler ultrasound echoes from cardiac structures is rich in detail and highly nonstationary. The goal of time frequency analysis is to extract features from these echo signals for high confidence visual and machine classification of cardiovascular condition. Presented are side-by-side comparisons o...

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Bibliographic Details
Main Authors: Marple, L., Brotherton, T., Barton, R., Lugo, E., Jones, D.
Format: Conference Proceeding
Language:English
Subjects:
Cardiology
Data mining
Feature extraction
Fourier transforms
Kernel
Multiple signal classification
Time frequency analysis
Ultrasonic imaging
Wavelet transforms
Online Access:Request full text
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Summary:Doppler ultrasound echoes from cardiac structures is rich in detail and highly nonstationary. The goal of time frequency analysis is to extract features from these echo signals for high confidence visual and machine classification of cardiovascular condition. Presented are side-by-side comparisons of numerous time-frequency representations (TFRs) of Doppler ultrasound data. The techniques illustrated include the short-time Fourier transform, the wavelet transform, a fixed cone kernel distribution (CKD), the adaptive cone kernel distribution, the adaptive optimal kernel (AOK) TFR, MUSIC, and model based TFRs. The trade-offs among the various analysis representations are discussed.< >
ISSN:1058-6393
2576-2303
DOI:10.1109/ACSSC.1993.342368