Literature DB >> 3074549

Ultrasound attenuation estimation in soft tissue using the entropy difference of pulsed echoes between two adjacent envelope segments.

H S Jang1, T K Song, S B Park.   

Abstract

In this paper, we describe a new method of estimating the ultrasound attenuation coefficient of soft tissue based on the entropy difference between two adjacent envelope segments of narrowband ultrasound pulse echoes. Assuming uniform attenuation in the region under investigation, the attenuation is estimated by minimizing the difference of entropies in the two segments as the attenuation is continuously compensated for. The simulation and experimental results with a tissue equivalent (TE) phantom show that the proposed estimator is quite robust to receiver noise and requires considerably less data length as compared with conventional methods. At present, an experimental result with a TE phantom shows that a resolution of 10 mm x 10 mm can be attained with echoes from a depth of 3 cm using a 2.25 MHz transducer.

Mesh:

Year:  1988        PMID: 3074549     DOI: 10.1177/016173468801000402

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


  6 in total

1.  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

2.  Characterizing acoustic attenuation of homogeneous media using focused impulsive acoustic radiation force.

Authors:  Mark L Palmeri; Kristin D Frinkley; Katherine G Oldenburg; Kathryn R Nightingale
Journal:  Ultrason Imaging       Date:  2006-04       Impact factor: 1.578

3.  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

4.  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

5.  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

6.  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

  6 in total

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