Automated ultrasonic arterial vibrometry: detection and measurement

Melani I. Plett; Kirk W. Beach M.D.; Marla Paun

doi:10.1117/12.382247

12 April 2000 Automated ultrasonic arterial vibrometry: detection and measurement

Melani I. Plett, Kirk W. Beach M.D., Marla Paun

Proceedings Volume 3982, Medical Imaging 2000: Ultrasonic Imaging and Signal Processing; (2000) https://doi.org/10.1117/12.382247
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

Abstract

Since the invention of the stethoscope, the detection of vibrations and sounds from the body has been a touchstone of diagnosis. However, the method is limited to vibrations whose associated sounds transmit to the skin, with no means to determine the anatomic and physiological source of the vibrations save the cunning of the examiner. Using ultrasound quadrature phase demodulation methods similar to those of ultrasonic color flow imaging, we have developed a system to detect and measure tissue vibrations with amplitude excursions as small as 30 nanometers. The system uses wavelet analysis for sensitive and specific detection, as well as measurement, of short duration vibrations amidst clutter and time-varying, colored noise. Vibration detection rates in ROC curves from simulated data predict > 99.5% detections with < 1% false alarms for signal to noise ratios >= 0.5. Vibrations from in vivo arterial stenoses and punctures have been studied. The results show that vibration durations vary from 10 - 150 ms, frequencies from 100 - 1000 Hz, and amplitudes from 30 nanometers to several microns. By marking the location of vibration sources on ultrasound images, and using color to indicate amplitude, frequency or acoustic intensity, new diagnostic information is provided to aid disorder diagnosis and management.

Citation Download Citation

Melani I. Plett, Kirk W. Beach M.D., and Marla Paun "Automated ultrasonic arterial vibrometry: detection and measurement", Proc. SPIE 3982, Medical Imaging 2000: Ultrasonic Imaging and Signal Processing, (12 April 2000); https://doi.org/10.1117/12.382247

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