Literature DB >> 9608474

Estimating the spatial autocorrelation function for ultrasound scatterers in isotropic media.

J F Chen1, J A Zagzebski, F Dong, E L Madsen.   

Abstract

The autocorrelation function pertaining to spatial distributions of ultrasonic scatterers in soft tissue is believed to contain useful information related to tissue morphology. A simple processing method applied to radio-frequency echo signals estimates this function for a sample having isotropic scattering conditions. It utilizes backscattered echo signals from the sample and echo signals from a reference object having defined scattering properties. The ratio of the echo signal power spectrum from the sample to the echo signal power spectrum from the reference object is obtained, and corrected for attenuation differences between the two media. This yields a "form factor" for the sample, whose inverse Fourier transform is the autocorrelation function. The method was tested using tissue-mimicking samples for which spatial autocorrelation functions could be modeled from the dimensions of embedded scatterers. The shapes of the measured autocorrelation functions were in reasonable agreement with those estimated, although measured functions overestimated the function at small lag distances. Scatterer diameters estimated from the zeros of the autocorrelation function agreed to within 6% of expected values when the measurement system bandwidth satisfied minimal criteria.

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Year:  1998        PMID: 9608474     DOI: 10.1118/1.598247

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  8 in total

1.  Ultrasonic backscatter coefficients for weakly scattering, agar spheres in agar phantoms.

Authors:  Michael R King; Janelle J Anderson; Maria-Teresa Herd; Darryl Ma; Alexander Haak; Lauren A Wirtzfeld; Ernest L Madsen; James A Zagzebski; Michael L Oelze; Timothy J Hall; William D O'Brien
Journal:  J Acoust Soc Am       Date:  2010-08       Impact factor: 1.840

2.  Ultrasonic tissue characterization via 2-D spectrum analysis: theory and in vitro measurements.

Authors:  Tian Liu; Frederic L Lizzi; Jeffrey A Ketterling; Ronald H Silverman; Gerald J Kutcher
Journal:  Med Phys       Date:  2007-03       Impact factor: 4.071

3.  Statistical model of clutter suppression in tissue harmonic imaging.

Authors:  Xiang Yan; Mark F Hamilton
Journal:  J Acoust Soc Am       Date:  2011-03       Impact factor: 1.840

4.  On the estimation of backscatter coefficients using single-element focused transducers.

Authors:  Roberto J Lavarello; Goutam Ghoshal; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2011-05       Impact factor: 1.840

5.  Shapes and distributions of soft tissue scatterers.

Authors:  K J Parker
Journal:  Phys Med Biol       Date:  2019-09-05       Impact factor: 3.609

6.  Cross-imaging platform comparison of ultrasonic backscatter coefficient measurements of live rat tumors.

Authors:  Lauren A Wirtzfeld; Goutam Ghoshal; Zachary T Hafez; Kibo Nam; Yassin Labyed; Janelle J Anderson; Maria-Teresa Herd; Alexander Haak; Zhi He; Rita J Miller; Sandhya Sarwate; Douglas G Simpson; James A Zagzebski; Timothy A Bigelow; Michael L Oelze; Timothy J Hall; William D O'Brien
Journal:  J Ultrasound Med       Date:  2010-07       Impact factor: 2.153

7.  Trade-offs in data acquisition and processing parameters for backscatter and scatterer size estimations.

Authors:  Wu Liu; James A Zagzebski
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2010       Impact factor: 2.725

8.  Acoustic backscatter and effective scatterer size estimates using a 2D CMUT transducer.

Authors:  W Liu; J A Zagzebski; T J Hall; E L Madsen; T Varghese; M A Kliewer; S Panda; C Lowery; S Barnes
Journal:  Phys Med Biol       Date:  2008-07-17       Impact factor: 3.609

  8 in total

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