Registration Strategies and Similarity Measures for Three-dimensional Ultrasound Mosaicing

Academic Radiology

Volumn 15, Issue 11, 2008, Pages 1404-1415

  Wachinger, Christian ^a   Wein, Wolfgang ^b   Navab, Nassir ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

3D registration; 3D ultrasound simultaneous registration; mosaicing; multivariate similarity measures; ultrasound specific similarity measures

Indexed keywords

ARTICLE; BIVARIATE ANALYSIS; MATHEMATICAL COMPUTING; MEASUREMENT; MULTIVARIATE ANALYSIS; PRIORITY JOURNAL; THREE DIMENSIONAL IMAGING; ULTRASOUND;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ECHOCARDIOGRAPHY, THREE-DIMENSIONAL; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; ULTRASONOGRAPHY;

EID: 55149087718     PISSN: 10766332     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.acra.2008.07.004     Document Type: Article

References (29)

1. Wang Z., Slabaugh G., Unal G., et al. Registration of ultrasound images using an information-theoretic feature detector. Biomedical imaging: from nano to macro, 2007. ISBI 2007. 4th IEEE International Symposium (2007) 736-739
2. Kim S.H., Choi B.I., Kim K.W., et al. Extended field-of-view sonography: advantages in abdominal applications. J Ultrasound Med 22 (2003) 385-394
3. Peetrons P. Ultrasound of muscles. Eur Radiol 12 (2002) 35-43
4. Leung Y., Roshier A., Johnson S., et al. Demonstration of the appearance of the paraspinal musculoligamentous structures of the cervical spine using ultrasound. Clin Anat 18 (2005) 96-103
5. Ying M., and Sin M.H. Comparison of extended field of view and dual image ultrasound techniques: accuracy and reliability of distance measurements in phantom study. Ultrasound Med Biol 31 (2005) 79-83
6. Dietrich C., Ignee A., Gebel M., et al. Imaging of the abdomen. Z Gastroenterol 40 (2002) 965-970
7. Henrich W., Schmider A., Kjos S., et al. Advantages of and applications for extended field-of-view ultrasound in obstetrics. Arch Gynecol Obstet V268 (2003) 121-127
8. Kuhl H., Schreckenberg M., Rulands D., et al. High-resolution transthoracic real-time three-dimensional echocardiography quantitation of cardiac volumes and function using semi-automatic border detection and comparison with cardiac magnetic resonance imaging. J Am Coll Cardiol 43 (2004) 2083-2090
9. Jenkins C., Bricknell K., Hanekom L., et al. Reproducibility and accuracy of echocardiographic measurements of left ventricular parameters using real-time three-dimensional echocardiography. J Am Coll Cardiol 44 (2004) 878-886
10. Gee A.H., Treece G.M., Prager R.W., et al. Rapid registration for wide field-of-view freehand 3D ultrasound. IEEE Trans Med Imaging 22 (2003) 1344-1357
11. Poon T., and Rohling R. Three-dimensional extended field-of-view ultrasound. Ultrasound Med Biol 32 (2005) 357-369
12. O'Donnell M., and Skovoroda R. Internal displacement and strain imaging using ultrasonic speckle tracking. IEEE Trans Ultrason Ferroelect Freq Control 41 (1994) 3
13. Penney G.P., Blackall J.M., Hamady M.S., et al. Registration of freehand 3D ultrasound and magnetic resonance liver images. Med Image Anal 8 (2004) 81-91
14. Abd-Elmoniem K., Youssef A., and Kadah Y. Real-time speckle reduction and coherence enhancement in ultrasoundimaging via nonlinear anisotropic diffusion. Biomed Engin IEEE Trans 49 (2002) 997-1014
15. Kotropoulos C., Magnisalis X., Pitas I., et al. Nonlinear ultrasonic image processing based on signal-adaptive filters and self-organizing neural networks. Image Proc IEEE Trans 3 (1994) 65-77
16. Pennec X. Statistical computing on manifolds for computational anatomy (Thesis). Habilitation a diriger des recherches, Universite Nice Sophia-Antipolis (Dec. 2006).
17. Vercauteren T., Perchant A., Malandain G., et al. Robust mosaicing with correction of motion distortions and tissue deformation for in vivo fibered microscopy. Med Image Anal 10 (2006) 673-692
18. Zollei L., Learned-Miller E., and Grimson III E.W.W. Efficient population registration of 3D data. ICCV (2005) 291-301
19. Benjemaa R., and Schmitt F. Fast global registration of 3D sampled surfaces using a multi-buffer technique. Image Vision Comp 17 (1999) 113-123
20. Viola P.A. Alignment by maximization of mutual information (1995), PhD thesis, Massachusetts Institute of Technology
21. Roche A., Malandain G., and Ayache N. Unifying maximum likelihood approaches in medical image registration. Int J Imaging Syst Tech Special Issue 3D Imaging 11 (2000) 71-80
22. Strintzis M., and Kokkinidis I. Maximum likelihood motion estimation in ultrasound image sequences. Signal Proc Lett IEEE 4 (1997) 156-157
23. Cohen B., and Dinstein I. New maximum likelihood motion estimation schemes for noisy ultrasound images. Pattern Recognition 35 (2002) 455-463
24. Boukerroui D., Noble J., and Brady M. Velocity estimation in ultrasound images: a block matching approach. Inf Process Med Imaging 18 (2003) 586-598
25. Revell J., Mirmehdi M., and McNally D. Combined ultrasound speckle pattern similarity measures. Medical image understanding and analysis. BMVA Press (2004) 149-153
26. Papoulis A., and Pillai U.S. Probability, random variables and stochastic processes (2001), McGraw-Hill, New York
27. Press W., Teukolsky S., Vetterling W., et al. Numerical recipes in C: the art of scientific computing (2002), Cambridge University Press
28. Soler P., Delso G., Villain N., et al. Superresolution spatial compounding techniques with application to 3D breast ultrasound imaging. SPIE Med Imaging 2006: Ultrasonic Imaging and Signal Processing 6147 (2006) 281-292
29. Wachinger C., Shams R., and Navab N. Estimation of acoustic impedance from multiple ultrasound images with application to spatial compounding (2008) IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, Anchorage, AK, June 27-28.