A Preliminary Study of the Mean Scatterer Spacing Estimation from Pellets using Wavelet-Based Cepstral Analysis

被引:0
作者
Nasr, Remie [1 ]
Falou, Omar [1 ,2 ]
Shahin, Ahmad [1 ]
Wirtzfeld, Lauren [3 ]
Berndl, Elizabeth [3 ]
Kolios, Michael C. [3 ]
机构
[1] Amer Univ Culture & Educ, Lebanese Univ, Azm Ctr Res Biotechnol & Its Applicat DSST, Tripoli, Lebanon
[2] Amer Univ Culture & Educ, Lebanese Univ, Dept Sci, Tripoli, Lebanon
[3] Inst Biomed Engn Sci & Technol, Toronto, ON, Canada
来源
2017 FOURTH INTERNATIONAL CONFERENCE ON ADVANCES IN BIOMEDICAL ENGINEERING (ICABME) | 2017年
关键词
cepstral analysis; wavelet transform; scatterer spacing; pellet; quantitative ultrasound; scatterer properties; tissue characterization; ultrasound backscatter;
D O I
暂无
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Ultrasonic backscattered signals contain information regarding the scatterer structures of the imaged biological tissues; a uniform scatterer distribution could be represented by periodicities in the backscattered signals. This work aims to characterize these scatterer periodicities using wavelet improved cepstral analysis. This technique was tested on simulated ultrasound signals, where the periodicity was clearly visible. Simulation results indicate that this technique can effectively determine the value of the scatterer spacing. The technique was then tested on a HT-29 cell pellet, where the estimated scatterer spacing was found to be 17.67 +/- 3.85 mu m. Future work includes improving the technique with the aim of accurately estimating the mean scatterer spacing in tissues.
引用
收藏
页码:85 / 88
页数:4
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[43]   Multiscale analysis of gravity data using the 2D directional continuous wavelet transform with a case study from Hoggar shield [J].
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Arabian Journal of Geosciences, 2016, 9
[44]   Multiscale analysis of gravity data using the 2D directional continuous wavelet transform with a case study from Hoggar shield [J].
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ARABIAN JOURNAL OF GEOSCIENCES, 2016, 9 (04)
[45]   Experimental study of tool life transition and wear monitoring in turning operation using a hybrid method based on wavelet multi-resolution analysis and empirical mode decomposition [J].
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Ouelaa, Nouredine ;
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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2016, 82 (9-12) :2017-2028
[46]   Experimental study of tool life transition and wear monitoring in turning operation using a hybrid method based on wavelet multi-resolution analysis and empirical mode decomposition [J].
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Nouredine Ouelaa ;
Abderrazek Djebala .
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