HIGH-RESOLUTION ULTRASONIC BACKSCATTER COEFFICIENT ESTIMATION BASED ON AUTOREGRESSIVE SPECTRAL ESTIMATION USING BURG ALGORITHM

被引：29

作者：

WEAR, KA ^{[1
]}

WAGNER, RF ^{[1
]}

GARRA, BS ^{[1
]}

机构：

[1] GEORGETOWN UNIV, MED CTR, WASHINGTON, DC 20007 USA

来源：

IEEE TRANSACTIONS ON MEDICAL IMAGING | 1994年 / 13卷 / 03期

关键词：

D O I：

10.1109/42.310881

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

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 DET (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.

引用

页码：500 / 507

页数：8

共 37 条

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