Robust common carotid artery lumen detection in B-mode ultrasound images using local phase symmetry

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2013, Pages 929-933

  Rouco, Jose ^a,b   Campilho, Aurelio ^a,b  

^a INEB INSTITUTO DE ENGENHARIA BIOMÉDICA   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

biomedical image processing; carotid artery detection; dynamic programming; monogenic signal; ultrasonography

Indexed keywords

B-MODE ULTRASOUND IMAGES; BIO-MEDICAL IMAGE PROCESSING; CAROTID ARTERY; COMMON CAROTID ARTERY; LOCAL PHASE; LOG-NORMAL; MONOGENIC SIGNAL; OPTIMIZATION ALGORITHMS;

ALGORITHMS; BANDPASS FILTERS; DYNAMIC PROGRAMMING; IMAGE PROCESSING; SIGNAL DETECTION; ULTRASONOGRAPHY;

ULTRASONIC APPLICATIONS;

EID: 84890458390     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6637785     Document Type: Conference Paper

References (12)

1. P.-J. Trouboul et al., "Mannheim Carotid Intima-Media Thickness Consensus (2004-2006). An Update on Behalf of the Advisory Board of the 3rd and 4th Watching the Risk Symposium 13th and 15th European Stroke Conferences, Mannheim, Germany, 2004 and Brussels, Belgium, 2006," Cerebrovascular diseases, vol. 23, pp. 75-80, 2006.
2. Q. Liang, I. Wendelhag, J. Wikstrand, and T. Gustavsson, "A Multiscale Dynamic Programming Procedure for Boundary Detection in Ultrasonic Artery Images," IEEE Transactions on Medical Imaging, vol. 19, no. 2, pp. 127-142, 2000.
3. F. Molinari, G. Zeng, and J. S. Suri, "A state of the art review on intima-media thickness (IMT) measurement and wall segmentation techniques for carotid ultrasound," Computer Methods and Programs in Biomedicine, vol. 100, pp. 201-221, 2010.
4. R. Rocha, A. Campilho, J. Silva, E. Azevedo, and R. Santos, "Segmentation of the carotid intima-media region in B-mode ultrasound images," Image and Vision Computing, vol. 28, pp. 614-625, 2010.
5. R. Rocha, J. Silva, and A. Campilho, "Automatic segmentation of carotid B-mode images using fuzzy classification," Medical & Biological Engineering & Computing, vol. 50, pp. 533-545, 2012.
6. A. C. Rossi, P. J. Brands, and A. Hoeks, "Automatic recognition of the common carotid artery in longitudinal ultrasound B-mode scans," Medical Image Analysis, vol. 12, pp. 653-665, 2008.
7. F. Molinari,W. Liboni, P. Giustetto, S. Badalamenti, and J. S. Suri, "Automatic Computer-based Tracings (ACT) in longitudinal 2-D ultrasound images using different scanners," Journal of Mechanics in Medicine and Biology, vol. 9, no. 4, pp. 481-505, 2009.
8. F. Molinari, G. Zeng, J. S. Suri, MBA, and FAIMBRE, "An Integrated Approach to Computer-Based Automated Tracing and Its Validation for 200 Common Carotid Arterial Wall Ulstrasound Images," Journal of Ultrasound in Medicine, vol. 29, pp. 339-418, 2010.
9. F. Molinari, C. S. Pattichis, G. Zeng, L. Saba, U. R. Acharya, R. Sanfilippo, A. Nicolaides, and J.S. Suri, "Completely Automated Multiresolution Edge Snapper- A New Technique for an Accurate Carotid Ultrasound IMT Measurement: Clinical Validation and Benchmarking on Multi-Institutional Database," IEEE Transactions on Image Processing, vol. 21, no. 3, pp. 1211-1221, 2012.
10. P. Kovesi, "Symmetry and Asymmetry form Local Phase," in Tenth Australian Joint Conference on Artificial Intelligence, December 1997, pp. 185-190.
11. M. Felsberg and G. Sommer, "The Monogenic Signal," IEEE Transactions on Signal Processing, vol. 49, no. 12, pp. 3136-3144, 2001.
12. T. Loupas,W. N. McDicken, and P. Allan, "An Adaptive Weighted Mean Filter for Speckle Suppression in Medical Ultrasound Images," IEEE Transactions on Circuits and Systems, vol. 36, no. 1, pp. 129-135, 1989.