Tissue classification using depth-dependent ultrasound time series analysis: In-vitro animal study

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7968, Issue , 2011, Pages

  Imani, Farhad ^a   Daoud, Mohammad ^b   Moradi, Mehdi ^b   Abolmaesumi, Purang ^b   Mousavi, Parvin ^a  

^a QUEEN S UNIVERSITY   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

mean central frequency; RF time series; tissue classification; ultrasound RF data

Indexed keywords

ANIMAL STUDIES; BOVINE LIVER; BOVINE MUSCLE; CHICKEN BREAST; CLASSIFICATION ACCURACY; IN-VITRO; MEAN CENTRAL FREQUENCIES; RADIOFREQUENCY SIGNALS; REGIONS OF INTEREST; RF TIME SERIES; TISSUE CLASSIFICATION; TISSUE DIFFERENTIATION; TISSUE TYPES; ULTRASOUND RF DATA;

ANIMALS; IMAGING SYSTEMS; MEDICAL IMAGING; TIME SERIES; TISSUE; TOMOGRAPHY; ULTRASONIC IMAGING; ULTRASONICS;

TIME SERIES ANALYSIS;

EID: 79957966186     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.877845     Document Type: Conference Paper

References (11)

1. Lizzi, F. L., Greenebaum, M., Feleppa, E. J., Elbaum, M. and Coleman, D. J.," Theoretical framework for spectrum analysis in ultrasonic tissue characterization," Journal of the Acoustical Society of America 73, 1366-1373 (1983).
2. Mamou, J., Coron, A., Hata, M., Machi, J., Yanagihara, E., Laugier, P. and Feleppa, E. J.," Three-dimensional high-frequency characterization of cancerous lymph nodes," Ultrasound in Medicine and Biology 36, 361-375 (2010).
3. Moradi, M., Abolmaesumi, P. and Mousavi, P.," Tissue typing using ultrasound RF time series: Experiments with animal tissue samples," Journal of Medical Physics 37(8), 4401-4413 (2010).
4. Moradi, M., Abolmaesumi, P., Siemens, D.R., Sauerbrei, E.E., Boag, A. and Mousavi, P.," Augmenting detection of prostate cancer in transrectal ultrasound images using SVM and RF Time Series," IEEE Transactions on Biomedical Engineering 56(9), 2214-2223 (2009).
5. Noble, J.A.," Ultrasound image segmentation and tissue characterization," Journal of Engineering in Medicine 224, 307-316 (2010).
6. http://www.csie.ntu.edu.tw/~cjlin/libsvm
7. Moradi, M.," A New paradigm for Ultrasound-Based Tissue Typing in Prostate Cancer," PhD Thesis, School of Computing, Queen's University (2008).
8. Moradi, M., Mousavi, P., and Abolmaesumi, P., " Tissue characterization using fractal dimension of high frequency ultrasound RF time series," Medical Image Computing and Computer Assisted Intervention 4792, 900-908 (2007).
9. Aboofazeli, M., Abolmaesumi, P., Moradi, M., Sauerbrei, E., Siemens, R., Boag, A., and Mousavi, P. ," Automated detection of prostate cancer using wavelet transform features of ultrasound RF time series," Proc. SPIE 7260, 72603J-1-8 (2009).
10. Basset, O., Sun, Z., Mestas, J. L., and Gimenez, G., " Texture analysis of ultrasonic images of the prostate by means of cooccurrence matrices, " Ultrasonic Imaging 15(3) , 218-237 (1993).
11. Feleppa, E. J., Kalisz, A., Sokil-Melgar, J. B., Lizzi, F. L., Liu, T., Rosado, A. L., Shao, M. C., Fair, W. R., Wang, Y., Cookson, M. S., Reuter, V. E., and Heston, W. D. W.," Typing of prostate tissue by ultrasonic spectrum analysis," IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 43(4), 609-619 (1996).