Ultrasound Detection of Scatterer Concentration by Weighted Entropy

Ultrasound backscattering signals depend on the microstructures of tissues. Some studies have applied Shannon entropy to analyze the uncertainty of raw radiofrequency (RF) data. However, we found that the sensitivity of entropy in detecting various scatterer concentrations is limited; thus, we propo...

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Main Author: Po-Hsiang Tsui
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/17/10/6598
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author Po-Hsiang Tsui
author_facet Po-Hsiang Tsui
author_sort Po-Hsiang Tsui
collection DOAJ
description Ultrasound backscattering signals depend on the microstructures of tissues. Some studies have applied Shannon entropy to analyze the uncertainty of raw radiofrequency (RF) data. However, we found that the sensitivity of entropy in detecting various scatterer concentrations is limited; thus, we propose a weighted entropy as a new information entropy-based approach to enhance the performance of scatterer characterization. A standard simulation model of ultrasound backscattering was used to generate backscattered RF signals with different number densities of scatterers. The RF signals were used to estimate the weighted entropy according to the proposed algorithmic scheme. The weighted entropy increased from 0.08 to 0.23 (representing a dynamic range of 0.15) when the number density of scatterers increased from 2 to 32 scatterers/mm2. In the same range of scatterer concentration, the conventional entropy increased from 0.16 to 0.19 (a dynamic range of 0.03). The results indicated that the weighted entropy enables achieving a more sensitive detection of the variation of scatterer concentrations by ultrasound.
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spelling doaj.art-9a44de4ef6394889b7471216c835483c2022-12-22T03:58:57ZengMDPI AGEntropy1099-43002015-09-0117106598661610.3390/e17106598e17106598Ultrasound Detection of Scatterer Concentration by Weighted EntropyPo-Hsiang Tsui0Department of Medical Imaging and Radiological Sciences, College of Medicine, Chang Gung University, Taoyuan 33302, TaiwanUltrasound backscattering signals depend on the microstructures of tissues. Some studies have applied Shannon entropy to analyze the uncertainty of raw radiofrequency (RF) data. However, we found that the sensitivity of entropy in detecting various scatterer concentrations is limited; thus, we propose a weighted entropy as a new information entropy-based approach to enhance the performance of scatterer characterization. A standard simulation model of ultrasound backscattering was used to generate backscattered RF signals with different number densities of scatterers. The RF signals were used to estimate the weighted entropy according to the proposed algorithmic scheme. The weighted entropy increased from 0.08 to 0.23 (representing a dynamic range of 0.15) when the number density of scatterers increased from 2 to 32 scatterers/mm2. In the same range of scatterer concentration, the conventional entropy increased from 0.16 to 0.19 (a dynamic range of 0.03). The results indicated that the weighted entropy enables achieving a more sensitive detection of the variation of scatterer concentrations by ultrasound.http://www.mdpi.com/1099-4300/17/10/6598information entropyweighted entropyultrasound
spellingShingle Po-Hsiang Tsui
Ultrasound Detection of Scatterer Concentration by Weighted Entropy
Entropy
information entropy
weighted entropy
ultrasound
title Ultrasound Detection of Scatterer Concentration by Weighted Entropy
title_full Ultrasound Detection of Scatterer Concentration by Weighted Entropy
title_fullStr Ultrasound Detection of Scatterer Concentration by Weighted Entropy
title_full_unstemmed Ultrasound Detection of Scatterer Concentration by Weighted Entropy
title_short Ultrasound Detection of Scatterer Concentration by Weighted Entropy
title_sort ultrasound detection of scatterer concentration by weighted entropy
topic information entropy
weighted entropy
ultrasound
url http://www.mdpi.com/1099-4300/17/10/6598
work_keys_str_mv AT pohsiangtsui ultrasounddetectionofscattererconcentrationbyweightedentropy