Ultrasound imaging LV tracking with adaptive window size and automatic hyper-parameter estimation

Proceedings - International Conference on Image Processing, ICIP

Volumn , Issue , 2008, Pages 553-556

  Nascimento, Jacinto ^a   Sanches, João ^a,b  

^a INSTITUTE FOR SYSTEMS AND ROBOTICS   (Portugal)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Left ventricle; Total variation; Tracking; Ultra sound imaging

Indexed keywords

ADAPTIVE WINDOW SIZE; AUTOMATIC ALGORITHMS; AUTOMATIC SEGMENTATIONS; AUTOMATIC WINDOW SIZE; BAYESIAN; BAYESIAN FILTERS; CARDIAC CYCLES; DE-SPECKLING; DEFORMABLE CONTOUR MODEL; FILTERING ALGORITHM; HYPER-PARAMETER; LEFT VENTRICLE; LEFT VENTRICLES; MANUAL SEGMENTATION; SOUND IMAGE; STATISTICAL CHARACTERISTICS; TOTAL VARIATION; TRACKING; ULTRA-SOUND IMAGING; ULTRASOUND IMAGE SEQUENCES;

ACOUSTIC WAVES; BAYESIAN NETWORKS; IMAGE PROCESSING; IMAGING SYSTEMS; MEDICAL IMAGING; PARAMETER ESTIMATION; STRUCTURAL PANELS; ULTRASONICS; WINDOWS;

ULTRASONIC IMAGING;

EID: 69949188459     PISSN: 15224880     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2008.4711814     Document Type: Conference Paper

References (17)

1. Abbot J. and Thurstone F., "Acoustic speckle: Theory and experimental analysis," Ultrasound Imaging, vol. 1, pp. 303-324, 1979.
2. B. Zagar and H. Weiss, "Processing of laser speckle interferometer signals for high precision strain measurement," in Proc. of the 8th International Symposium on Artificial Intelligence Based Measurement and Control, 1991, vol. 1, pp. 99-105.
3. C. Burckhardt, "Speckle in ultrasound b-mode scans," IEEE Transations on Sonics and Ultrsonics, vol. SU-25, no. 1, pp. 1-6, Jan. 1978.
4. Peiliang Xu, "Despeckling sar-type multiplicative noise," International Journal of Remote Sensing, vol. 20, no. 13, pp. 2577-596, Sep. 1999.
5. T. Loupas, W. McDicken, and P. Allan, "An adaptive weighted median filter for speckle suppression in medical ultrasonic images," IEEE Transactions on Circuits and Systems, vol. 36, pp. 129-135, Jan. 1989.
6. Karl Krissian, Kirby Vosburgh, Ron Kikinis, and Carl-Fredrik Westin, "Speckle-constrained anisotropic diffusion for ultrasound images," in Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition ('05), San Diego CA, USA, June 2005, pp. 547-552.
7. S. Gupta, L. Kaur, R. C. Chauhan, and S. C. Saxena, "A wavelet based statistical approach for speckle reduction in medical ultrasound images," Medical and Biological Engineering and computing, vol. 42, 2004.
8. Peter C. Tay, Scott T. Acton, and John A. Hossack, "Ultrasound despeckling using an adapatative window steochastic approach.," in Proc. of the Int. Conf. on Image Processing (ICIP 2006), Atlanta, GA, USA, April 2006, pp. 2549-2552.
9. Z. Zeng and I. Cumming, "Bayesian speckle noise reduction using the discrete wavelet transform," in International geoscience and remote sensing symposium, July 1998, pp. 6-10.
10. J. Sanches, J. Nascimento, and J. Marques, "An unified framework for bayesian denoising for several medical and biological imaging modalities," in Proc. of the Int. Conf. of the IEEE Eng. Medicine and Biology Society, 2007.
11. Peter R. Johnston and Ramesh M. Gulrajani, "Selecting the corner in the -curve approach to tikhonov regularization," IEEE TRANSAC-TIONS ON BIOMEDICAL ENGINEERING, vol. 47, no. 9, pp. 1293-1296, September 2000.
12. Nascimento J., Sanches J.M., and Marques J.S., "An unified framework for bayesian denoising for several medical and biological imaging modalities," in Proc. of the IEEE EMBC 2007, Lyon, France, August 23-26 2007.
13. J. Nascimento and J. S. Marques, "Robust shape tracking in the presence of cluttered background," IEEE Trans. Multimedia, vol. 6, no. 6, pp. 852-861, December 2004.
14. D. P. Huttenlocher, G. A. Klanderman, and W. J. Rucklidge, "Comparing images using Hausdorff distance," IEEE Trans. Pattern Anal. Machine Intell., vol. 15, pp. 850-863, 1993.
15. A. Hammoude, Computer-assited endocardial border identification from a sequence of two-dimensional echocardiographic images, Ph.D. thesis, Univ. Washington, Seattle, WA, 1988.
16. Y. Akgul and C. Kambhamettu, "A coarse-to-fine deformable contour optimization framework," IEEE Trans. Pattern Anal. Machine Intell., vol. 25, no. 2, pp. 174-186, 2003.
17. I. Mikić, S. Krucinki, and J. D. Thomas, "Segmentation and tracking in echocardiographic sequences: Active contours guided by optical flow estimates," IEEE Trans. Med. Imag., vol. 17, no. 2, pp. 274-284, 1998.