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Autoregressive spectral estimation in ultrasonic scatterer size imaging.

作者信息

Chaturvedi P, Insana M F

机构信息

Department of Radiology, University of Kansas Medical Center, Kansas City 66160-7234, USA.

出版信息

Ultrason Imaging. 1996 Jan;18(1):10-24. doi: 10.1177/016173469601800102.

DOI:10.1177/016173469601800102
PMID:8792560
Abstract

An autoregressive (AR) spectral estimation method was considered for the purpose of estimating scatterer size images. The variance and bias of the resulting estimates were compared with those using classical FFT periodograms for a range of input signal-to-noise ratios and echo-signal durations corresponding to various C-scan image slice thicknesses. The AR approach was found to produce images of significantly higher quality for noisy data and when thin slices were required. Several images reconstructed with the two techniques are presented to demonstrate difference in visual quality. Task-specific guidelines for empirical selection of the AR model order are also proposed.

摘要

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