Attenuation-weighted pulse-echo imaging with ultrasound

Sidney Leeman; Andrew J. Healey; Mark C. Betts; Leonard A. Ferrari

doi:10.1117/12.208338

8 May 1995 Attenuation-weighted pulse-echo imaging with ultrasound

Sidney Leeman, Andrew J. Healey, Mark C. Betts, Leonard A. Ferrari

Author Affiliations +

Proceedings Volume 2432, Medical Imaging 1995: Physics of Medical Imaging; (1995) https://doi.org/10.1117/12.208338
Event: Medical Imaging 1995, 1995, San Diego, CA, United States

Abstract

Ultrasound pulses utilized for medical imaging and information-gathering appear to be coherently scattered from the many inhomogeneities within a tissue. The consequent interference effects complicate the spectral (Fourier) domain properties of the received signal: this is particularly troublesome when attempting to estimate tissue attenuation from backscattered data. A novel way to describe interference effects in (ultrasound) pulse-echo data is described. Recognition of their influence is achieved via analysis of the temporal phase of the pulse-echo signal, and correction of the artefact is achieved via novel signal processing techniques which rely on adjusting the locations of dominate zeros of the analytic continuation of short corrupted data segments (as pinpointed by the recognition procedure) into the complex frequency domain. Estimation of the mean frequency of a short pulse-echo data segment by the new method gives a reduction in variance by a factor of > 4 over existing Fourier methods. The technique finds application in an imaging technique which incorporates ultrasound attenuation information in conventional B-mode imaging.

Citation Download Citation

Sidney Leeman, Andrew J. Healey, Mark C. Betts, and Leonard A. Ferrari "Attenuation-weighted pulse-echo imaging with ultrasound", Proc. SPIE 2432, Medical Imaging 1995: Physics of Medical Imaging, (8 May 1995); https://doi.org/10.1117/12.208338

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KEYWORDS

Signal attenuation

Tissues

Ultrasonography

Image segmentation

In vivo imaging

Data modeling

Signal processing

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