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Super-resolution spectral analysis for ultrasound scatter characterization

Abstract: 

Parametric Bayesian spectral estimation methods have been previously utilized to improve frequency resolution. Ultrasound signals have been tested in such methods resulting in higher precision frequency detection compared to common non-parametric spectral estimation methods based on the Fourier transform. Such a technique using a reversible jump Markov Chain Monte Carlo algorithm has been developed to fully characterize signals and in addition to frequency, to provide amplitude and noise estimation. The analysis of this method is demonstrated with a real copper sphere ultrasound scatter signal. Based on typical diagnostic ultrasound data between 1.2 − 4.5 MHz the new spectral estimation achieves 110 kHz minimum frequency resolution. This is at least twice the resolution of Fourier based methods, resulting in revealing new frequencies. The method may be used in the entire range of ultrasound imaging modalities and may help provide improved sensitivity, reproducibility and spatial resolution.

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Paper Details

Authors:
Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros
Submitted On:
11 March 2016 - 7:28pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Konstantinos Diamantis
Document Year:
2016
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(710)

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[1] Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros, "Super-resolution spectral analysis for ultrasound scatter characterization", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/615. Accessed: Aug. 14, 2020.
@article{615-16,
url = {http://sigport.org/615},
author = {Maruf A. Dhali; Gavin Gibson; Yan Yan; James R. Hopgood; Vassilis Sboros },
publisher = {IEEE SigPort},
title = {Super-resolution spectral analysis for ultrasound scatter characterization},
year = {2016} }
TY - EJOUR
T1 - Super-resolution spectral analysis for ultrasound scatter characterization
AU - Maruf A. Dhali; Gavin Gibson; Yan Yan; James R. Hopgood; Vassilis Sboros
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/615
ER -
Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros. (2016). Super-resolution spectral analysis for ultrasound scatter characterization. IEEE SigPort. http://sigport.org/615
Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros, 2016. Super-resolution spectral analysis for ultrasound scatter characterization. Available at: http://sigport.org/615.
Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros. (2016). "Super-resolution spectral analysis for ultrasound scatter characterization." Web.
1. Maruf A. Dhali, Gavin Gibson, Yan Yan, James R. Hopgood, Vassilis Sboros. Super-resolution spectral analysis for ultrasound scatter characterization [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/615