Pulse elongation and deconvolution filtering for medical ultrasonic imaging

Range sidelobe artifacts which are associated with pulse compression methods can be reduced with a new method composed of pulse elongation and deconvolution (PED). While pulse compression and PED yield similar signal-to-noise ratio (SNR) improvements, PED inherently minimizes the range sidelobe arti...

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Bibliographic Details
Published in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 1998-01, Vol.45 (1), p.98-113
Main Authors: Haider, B., Lewin, P.A., Thomenius, K.E.
Format: Article
Language:English
Subjects:
Acoustic pulses
Acoustic signal processing
Acoustical measurements and instrumentation
Acoustics
Additive noise
Biological and medical sciences
Biomedical imaging
Computer simulation
Deconvolution
Error analysis
Exact sciences and technology
Filtering
Filters
Fundamental areas of phenomenology (including applications)
Interference suppression
Investigative techniques, diagnostic techniques (general aspects)
Medical imaging
Medical sciences
Miscellaneous. Technology
Noise level
Physics
Pulse compression methods
Signal filtering and prediction
Signal to noise ratio
Spectrum analysis
Ultrasonic imaging
Ultrasonic investigative techniques
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Summary:Range sidelobe artifacts which are associated with pulse compression methods can be reduced with a new method composed of pulse elongation and deconvolution (PED). While pulse compression and PED yield similar signal-to-noise ratio (SNR) improvements, PED inherently minimizes the range sidelobe artifacts. The deconvolution is implemented as a stabilized inverse filter. With proper selection of the excitation waveform an exact inverse filter can be implemented. The excitation waveform is optimized in a minimum mean square error (MMSE) sense. An analytical expression for the power spectrum of the optimal pulse is presented and several techniques to numerically optimize the excitation pulse are shown. The effects of PED are demonstrated in computer simulations as well as ultrasonic images.
ISSN:0885-3010
1525-8955
DOI:10.1109/58.646915