A singular value filter for rejection of stationary artifact in medicalultrasound

Proceedings - IEEE Ultrasonics Symposium

Volumn , Issue , 2010, Pages 359-362

  Mauldin Jr , F William ^a   Lin, Dan ^a   Hossack, John A ^a  

^a University of Virginia   (United States)

Author keywords

Cardiac Imaging; Mouse Heart Imaging; PrincipalComponent Analysis; Singular Value Decomposition

Indexed keywords

B-MODE IMAGES; BASIS FUNCTIONS; CARDIAC IMAGING; CENTER FREQUENCY; CLUTTER FILTERS; CLUTTER SIGNALS; CORRELATION COEFFICIENT; DECORRELATIONS; ECHO DATA; FINITE-IMPULSE RESPONSE; LOCAL REGION; MEDICAL ULTRASOUND; MOUSE HEART; SINGULAR VALUES; SOURCE SEPARATION; TISSUE STRUCTURE; TORONTO , CANADA; ENERGY CONTRIBUTION; FILTER COEFFICIENTS; LESION IMAGE; MOTION COMPLEXITY; MOUSE HEART IMAGING; PRINCIPAL COMPONENTS; STATIONARY CLUTTER;

BLIND SOURCE SEPARATION; CLUTTER (INFORMATION THEORY); HEART; MAMMALS; SINGULAR VALUE DECOMPOSITION; TISSUE; ULTRASONIC APPLICATIONS; ULTRASONICS; IMPULSE RESPONSE; PRINCIPAL COMPONENT ANALYSIS;

PRINCIPAL COMPONENT ANALYSIS; SINGULAR VALUE DECOMPOSITION;

EID: 80054017640     PISSN: 10510117     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ULTSYM.2010.5935923     Document Type: Conference Paper

References (17)

1. M. A. Lediju, M. J. Pihl, S. J. Hsu, J. J. Dahl, C. M. Gallippi, G. E.Trahey, "Magnitude, origins, and reduction of abdominal ultrasonicclutter," Proc. Ultrasonics Symp., vol. 1, pp. 50-53, 2008.
2. J. J. Dahl, G. F. Pinton, M. A. Lediju, and G. E. Trahey, Simulation andexperimental analysis of ultrasonic clutter in fundamental and harmonic imaging.Proc. SPIE, 7265: art no. 726509, 2009.
3. M. A. Lediju, M. J. Pihl, S. J. Hsu, J. J. Dahl, C. M. Gallippi, and G.E. Trahey, "A motion-based approach to abdominal clutter reduction,"IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 56, no. 11, pp.2437-2449, 2010.
4. A. P. Kadi and T. Loupas, "On the performance of regression andstepinitialized iir clutter filters for color Doppler systems in diagnosticmedical ultrasound," IEEE Trans. Ultrason. Ferroelect., Freq. Contr., vol.42, no. 5, pp. 927-937, 1995.
5. D. E. Kruse and K. W. Ferrara, "A new high resolution color flowsystem using an eigendecomposition-based adaptive filter for clutterrejection," IEEE Trans. Ultrason. Ferroelect., Freq. Contr., vol. 49, no.10, pp. 1384-1399.
6. A. C. H. Yu and L. Lovstakken, "Eigen-based clutter filter designfor ultrasound color flow imaging: a review," IEEE Trans. Ultrason.Ferroelect. , Freq. Contr., vol. 57, no. 5, 1096-1111, 2010.
7. C. M. Gallippi, K. R. Nightingale, and G. E. Trahey, "BSS- basedfiltering of physiological and arfi-induced tissue and blood motion,"Ultrasound in Med. & Biol., vol. 29, no. 11, pp. 1583-1592, 2003.
8. F. W. Mauldin, Jr., F. Viola, and W. F. Walker, "Robust motionestimation using complex principal components," Proc. Ultrasonics Symp.,vol. 1, pp. 2429-2432, 2009
9. M. Young, The Techincal Writers Handbook. Mill Valley, CA: UniversityScience, 1989.
10. A. C. H. Yu and R. S. C. Cobbold, "Single-ensemble- basedeigenprocessing methods for color flow imaging-part II. The matrix pencilestimator," IEEE Trans. Ultrason. Ferroelect., Freq. Contr., vol. 55, no.3, 573-587, 2008.
11. M. Li, "Adaptive imaging using principal-component- synthesizedaperture data," Proc. Ultrasonics Symp., vol. 1, pp. 1076-1079, 2008.
12. F. W. Mauldin, Jr., H. Zhu, R. H. Behler, and C. M. Gallippi,"Robust principal component analysis and clustering methods for automatedarfi segmentation," Ultrasound in Med. & Biol., vol. 2, pp. 309-325,2008.
13. J. A. Jensen and N. B. Svendsen, "Calculation of pressure fieldsfrom arbitrary shaped, apodized, and excited ultrasound transducers," IEEETrans. Ultrason. Ferroelect., Freq. Contr., vol. 39, pp. 262-267, 1992.
14. I. T. Jolliffe, "Principal component analysis," Springer Seriesin Statistics, 2nd ed., Springer, NY, 2002.
15. R. Vautard and M. Ghil, "Singular spectrum analysis in nonlineardynamics, with applications to paleoclimatic time series," Physica D, vol.35, pp. 395-424, 1989.
16. W. F. Walker, "The significance of correlation in ultrasound signalprocessing," in SPIE Medical Imaging Proc., pp. 159-171, 2000.
17. A. V. Patil, C. D. Garson, and J. A. Hossack, "3D prostateelastography: algorithm, simulations, and experiments," Phys. Med. Biol.,vol. 52, no. 12, 3643-3663, 2007.