High resolution ultrasonic backscatter coefficient estimation based on autoregressive spectral estimation using Burg's algorithm

An autoregressive (AR) method for spectral estimation was applied toward the task of estimating ultrasonic backscatter coefficients from small volumes of tissue. High spatial resolution is desirable for generating images of backscatter coefficient. Data was acquired from a homogeneous tissue-mimicki...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 1994, Vol.13 (3), p.500-507
Main Authors: Wear, K.A., Wagner, R.F., Garra, B.S.
Format: Article
Language:English
Subjects:
Backscatter
Biological and medical sciences
Biological materials
Discrete Fourier transforms
Humans
Image generation
Imaging phantoms
Immune system
In vivo
Investigative techniques, diagnostic techniques (general aspects)
Liver
Medical sciences
Miscellaneous. Technology
Spatial resolution
Ultrasonic investigative techniques
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Summary:An autoregressive (AR) method for spectral estimation was applied toward the task of estimating ultrasonic backscatter coefficients from small volumes of tissue. High spatial resolution is desirable for generating images of backscatter coefficient. Data was acquired from a homogeneous tissue-mimicking phantom and from a normal human liver in vivo. The AR method was much more resistant to gating artifacts than the traditional DFT (discrete Fourier transform) approach. The DFT method consistently underestimated backscatter coefficients at small gate lengths. Therefore backscatter coefficient image formation will be quantitatively more meaningful if based on AR spectral estimation rather than the DFT. The autoregressive method offers promise for enhanced spatial resolution and accuracy in ultrasonic tissue characterization and nondestructive evaluation of materials.< >
ISSN:0278-0062
1558-254X
DOI:10.1109/42.310881