Literature DB >> 9447670

Attenuation and backscatter estimation using video signal analysis applied to B-mode images.

B S Knipp1, J A Zagzebski, T A Wilson, F Dong, E L Madsen.   

Abstract

Most methods for in vivo quantitation of ultrasound attenuation and backscatter are not available clinically because they rely upon acquiring and analyzing radio frequency (rf) echo signals. This paper describes a technique to estimate ultrasound attenuation and backscatter from B-mode image data. The video signal analysis (VSA) technique utilizes images of a reference phantom, taken using the same instrument settings used to record images from the patient or sample, to account for effects of the transducer beam, system gain and signal processing on image data. A 'gray-scale look-up table' is derived to convert image pixel value data within a region of interest to echo signal amplitudes relative to echo signals from the same depth in the reference phantom. These relative echo levels enable estimates of attenuation and backscatter in the region of interest. VSA was used to quantify acoustic properties of test phantoms using 3 different clinical scanners and various transducers. The level of agreement between results obtained with different ultrasound imaging systems was very good. VSA attenuation and backscatter levels also compare favorably with attenuation coefficients and backscatter coefficients obtained using rf analysis.

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Year:  1997        PMID: 9447670     DOI: 10.1177/016173469701900305

Source DB:  PubMed          Journal:  Ultrason Imaging        ISSN: 0161-7346            Impact factor:   1.578


  10 in total

1.  [Transrectal ultrasound of the prostate. Current status and prospects].

Authors:  M Zacharias; K V Jenderka; H Heynemann; P Fornara
Journal:  Urologe A       Date:  2002-11       Impact factor: 0.639

2.  Time domain attenuation estimation method from ultrasonic backscattered signals.

Authors:  Goutam Ghoshal; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2012-07       Impact factor: 1.840

3.  Correlation of RF signals during angular compounding.

Authors:  Quan Chen; Anthony L Gerig; Udomchai Techavipoo; James A Zagzebski; Tomy Varghese
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2005-06       Impact factor: 2.725

4.  An original methodology for quantitative assessment of perfusion in small animal studies using contrast-enhanced ultrasound.

Authors:  Sebastien Mulé; Alain De Cesare; Frédérique Frouin; Olivier Lucidarme; Alain Herment
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2007

5.  Evaluation of the impact of backscatter intensity variations on ultrasound attenuation estimation.

Authors:  Eenas A Omari; Tomy Varghese; Ernest L Madsen; Gary Frank
Journal:  Med Phys       Date:  2013-08       Impact factor: 4.071

6.  Spectral analysis framework for compressed sensing ultrasound signals.

Authors:  Jaeyoon Shim; Don Hur; Hyungsuk Kim
Journal:  J Med Ultrason (2001)       Date:  2019-04-06       Impact factor: 1.314

7.  Signal to noise ratio comparisons for ultrasound attenuation slope estimation algorithms.

Authors:  Eenas A Omari; Tomy Varghese
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

8.  Quantitative ultrasound of skeletal muscle: reliable measurements of calibrated muscle backscatter from different ultrasound systems.

Authors:  Craig M Zaidman; Mark R Holland; Michael S Hughes
Journal:  Ultrasound Med Biol       Date:  2012-07-03       Impact factor: 2.998

9.  Scatterer number density considerations in reference phantom-based attenuation estimation.

Authors:  Nicholas Rubert; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2014-04-13       Impact factor: 2.998

Review 10.  Muscle ultrasound: Present state and future opportunities.

Authors:  Juerd Wijntjes; Nens van Alfen
Journal:  Muscle Nerve       Date:  2020-10-13       Impact factor: 3.217

  10 in total

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