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
相关论文
共 44 条
  • [21] Experimental study of wave-wave nonlinear interactions using the wavelet-based bicoherence
    Dong, Guohai
    Ma, Yuxiang
    Perlin, Marc
    Ma, Xiaozhou
    Yu, Bo
    Xu, Jianwu
    COASTAL ENGINEERING, 2008, 55 (09) : 741 - 752
  • [22] Information passage from acoustic impedance to seismogram: Perspectives from wavelet-based multiscale analysis
    Li, CF
    JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2004, 109 (B7) : B073011 - 10
  • [23] 3-D dynamic mesh compression using wavelet-based multiresolution analysis
    Cho, Jae-Won
    Kim, Min-Su
    Valette, Sebastien
    Jung, Ho-Youl
    Prost, Remy
    2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS, 2006, : 529 - +
  • [24] Separation of discontinuous adventitious sounds from vesicular sounds using a wavelet-based filter
    Hadjileontiadis, LJ
    Panas, SM
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 1997, 44 (12) : 1269 - 1281
  • [25] CHARACTERIZATION OF THE HYDROCARBON POTENTIAL AND NON-POTENTIAL ZONES USING WAVELET-BASED FRACTAL ANALYSIS
    Mukherjee, Bappa
    Roy, P. N. S.
    FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY, 2018, 26 (01)
  • [26] Texture Analysis Using Wavelet-Based Multiresolution Autoregressive Model: Application to Brain Cancer Histopathology
    Durgamahanthi, Vaishali
    Rangaswami, Ramesh
    Gomathy, C.
    Victor, Anita Christaline Jhon
    JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2017, 7 (06) : 1188 - 1195
  • [27] Automated glaucoma detection from fundus images using wavelet-based denoising and machine learning
    Khan, Sibghatullah, I
    Choubey, Shruti Bhargava
    Choubey, Abhishek
    Bhatt, Abhishek
    Naishadhkumar, Pandya Vyomal
    Basha, Mohammed Mahaboob
    CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS, 2022, 30 (01): : 103 - 115
  • [28] Regionalization of Daily Soil Moisture Dynamics Using Wavelet-Based Multiscale Entropy and Principal Component Analysis
    Sun, Yuqing
    Niu, Jun
    ENTROPY, 2019, 21 (06)
  • [29] 3-D mesh sequence compression using wavelet-based multi-resolution analysis
    Cho, Jae W.
    Valette, S.
    Park, Ju H.
    Jung, Ho Y.
    Prost, R.
    APPLIED MATHEMATICS AND COMPUTATION, 2010, 216 (02) : 410 - 425
  • [30] Identifying Origin of Self-Similarity in EcoSim, an Individual-Based Ecosystem Simulation, using Wavelet-based Multifractal Analysis
    Golestani, Abbas
    Gras, Robin
    WORLD CONGRESS ON ENGINEERING AND COMPUTER SCIENCE, WCECS 2012, VOL II, 2012, : 1275 - 1282