Medial-node models to identify and measure objects in real-time 3-D echocardiography

IEEE Transactions on Medical Imaging

Volumn 18, Issue 10, 1999, Pages 1025-1034

  Stellen, George D ^a   Pizer, Slephen M ^a  

^a University of Pittsburgh   (United States)

Author keywords

3 d ultrasound; Core atom; Left ventricle; Medial dimensionality

Indexed keywords

ARTICLE; ARTIFACT; BIOLOGICAL MODEL; COMPARATIVE STUDY; CONGESTIVE CARDIOMYOPATHY; ECHOGRAPHY; HUMAN; MATHEMATICS; METHODOLOGY; PERICARDIAL EFFUSION; REFERENCE VALUE; REPRODUCIBILITY; STATISTICS; THREE DIMENSIONAL ECHOCARDIOGRAPHY;

ARTIFACTS; CARDIOMYOPATHY, DILATED; ECHOCARDIOGRAPHY, THREE-DIMENSIONAL; HUMANS; MATHEMATICS; MODELS, CARDIOVASCULAR; PERICARDIAL EFFUSION; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS;

CARDIOVASCULAR SYSTEM; ECHOCARDIOGRAPHY; FEATURE EXTRACTION; IMAGE ANALYSIS; MATHEMATICAL MODELS; PHYSIOLOGICAL MODELS;

MEDIAL DIMENSIONALITY; MEDIAL NODE MODELS;

MEDICAL IMAGING;

EID: 0033201376     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.811314     Document Type: Article

References (30)

1. G. Stellen, T. Ola, C. Ohazama, C. Fleishman, J. Caslelucci, J. Oxaal, T. Ryan, J. Kisslo, and O. v. Ramm, "Real-lime 3D ullrasound: A new look al ihe heart," J. Cardiovascular Diagnosis Procedures, vol. 15, no. 2, PP. 73-84, 1998.
2. D. P. Shalluck, M. D. Weinshenker, S. W. Smilh, and O. T. v. Ramm, "Explososcan: A parallel processing technique for high speed ullrasound imaging with linear phased arrays," J. Acoust. Soc. Amer., vol. 75, no. 4, PP. 1273-1282, 1984.
3. S. W. Smilh, J. H. G. Pavy, and O. T. von Ramm, "High-speed ullrasound volumetric imaging system-Part I: Transducer design and beam steering," IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 38, PP. 100-108, Mar. 1991.
4. O. T. von Ramm, S. W. Smilh, and H. G. Pavy Jr., "High-speed ullrasound volumelric imaging system-Pari II: Parallel processing and image display," IEEE Trans. Ultrason., Ferroelect., Freq. Contr., vol. 38, PP. 109-115, Mar. 1991.
5. O. T. von Ramm, H. A. Pavy, S. W. Smilh, and J. Kisslo, "Reallime, ihree-dimensional echocardiography: the first human images," Circulation, vol. 84, suppl. II, no. 4, p. 685, 1991.
6. S. W. Smilh, H. G. Pavy, J. A. Miglin, and O. T. v. Ramm, "Improved real-lime volumelric ultrasonic imaging," Ultrasonic Imag., vol. 14, PP. 186-211, 1992.
7. T. Mclnerney and D. Terzopoulos, "Deformable models in médical image analysis: a survey," Med. Image Anal., vol. 1, no. 2, PP. 91-108, 1996.
8. V. Chalana, D. T. Linker, D. R. Haynor, and Y. Kim, "A multiple active contour model for cardiac boundary detection on echocardiographic sequence," IEEE Trans. Med. Imag., vol. 15, PP. 290-298, June 1996.
9. T. Hozumi, K. Yoshida, H. Yoshioka, T. Yagi, T. Akasaka, T. Tagaki, M. Nishiura, M. Watanabe, and J. Yoshikawa, "Echocardiographic estimation of left ventricular cavity area with a newly developed automated contour tracking method," J. American Society Echocardiography, vol. 10, no. 8, PP. 822-829, 1997.
10. I. Mikic, S. Krucinski, and J. D. Thomas, "Segmentation and tracking in echocardiographic sequences: Active contours guided by optical flow estimates," IEEE Trans. Med. Imag., vol. 17, PP. 274-284, Apr. 1998.
11. S. Malassiotis and M. G. Strintzis, "Tracking the left ventricle in echocardiographic images by learning heart dynamics," IEEE Trans. Med. Imag., vol. 18, PP. 282-290, Mar. 1999.
12. I. A. Hunter, J. J. Soraghan, J. Christie, and T. S. Durrani, "Detection of echocardiographic left ventricle boundaries using neural networks," in Computers in Cardiology. Washington, DC: IEEE Computer Society Press, 1993.
13. G. Coppini, R. Poli, and G. Valu, "Recovery of the 3-D shape of the left ventricle from echocardiographic images," IEEE Trans. Med. Imag., vol. 14, PP. 301-317, June 1995.
14. G. Stetten, T. Irvine, D. Ritscher, O. T. v. Ramm, J. Panza, V. Sachdev, J. Castellucci, M. Jones, and D. Sahn, "Improved accuracy for a semiautomated method for computing right ventricle (RV) cavity volumes from Real Time 3D Echo: Comparison studies to ultrasonic crystals in an open-chest animal model," in Proc. American College Cardiology 48th Scientific Sessions, New Orleans, LA: 1999, to be published.
15. D. C. Wilson, E. A. Geiser, and J. Li, "Feature extraction in twodimensional short-axis echocardiographic images," J. Math. Imag. Vision, vol. 3, PP. 285-298, 1993.
16. J. Feng, W. C. Lin, and C. T. Chen, "Epicardial boundary detection using fuzzy reasoning," IEEE Trans. Med. Imag., vol. 10, PP. 187-199, June 1991.
17. G. Stetten and R. Morris, "Shape detection with the flow integration transform," Inform. Sci., vol. 85, PP. 203-221, 1995.
18. G. Stetten, M. Caines, C. Ohazama, and O. T. v. Ramm, "The volumetricardiogram (VCG): Volume determination of cardiac chambers using 3D matrix-array ultrasound," in Proc. SPIE Symp. Medical Imaging, 1995, vol. 2432, pp. 185-196.
19. H. Blum and R. N. Nagel, "Shape description using weighted symmetric axis features," Pattern Recognit., vol. 10, PP. 167-180, 1978.
20. L. R. Nackman, "Curvature relations in 3D symmetric axes," CVGIP, vol. 20, PP. 43-57, 1982.
21. L. R. Nackman and S. M. Pizer, "Three-dimensional shape description using the symmetric axis transform I: Theory," IEEE Trans. Pattern Anal. Machine Intell., vol. 2, PP. 187-202, Mar. 1985.
22. C. A. Burbeck and S. M. Pizer, "Object representation by cores: Identifying and representing primitive spatial regions," Vision Research, vol. 35, no. 13, pp. 1917-1930, 1995.
23. S. M. Pizer, D. H. Eberly, B. S. Morse, and D. S. Fritsch, "Zoom invariant vision of figurai shape: The mathematics of cores," Comp. Vision Image Understanding, vol. 69, no. 1, PP. 55-71, 1998.
24. B. S. Morse, S. M. Pizer, D. T. Puff, and C. Gu, "Zoom-Invariant vision of figurai shape: Effect on cores of image disturbances," Comp. Vision Image Understanding, vol. 69, PP. 72-86, 1998.
25. J. D. Fürst and S. M. Pizer, "Marching cores: A method for extracting cores from 3D medical images," in Proc. Workshop Mathematical Methods Biomédical Image Analysis, San Francisco, C A, June 1996.
26. D. Fritsch, S. Pizer, L. Yu, V. Johnson, and E. Chaney, "Segmentation of medical image objects using deformable shape loci," Information Processing in Medical Imaging (Lecture Notes in Computer Science). Berlin, Germany: Springer-Verlag, 1997.
27. S. M. Pizer, D. S. Fritsch, P. A. Yushkevich, V. E. Johnson, and E. L. Chaney, "Segmentation, registration, and measurement of shape variation via image object shape," IEEE Trans. Med. Imag., vol. 18, PP. 851-865, Oct. 1999.
28. G. Stetten, R. Landesman, and S. Pizer, "Core-Atoms and the spectra of scale," in Proc. SPIE Medical Imaging Conf., 1997, vol. 3034, pt. 2, pp. 642-652.
29. M. Brady, Criteria for Representations of Shape. New York: Academic, 1983.
30. G. J. Clary, S. M. Pizer, D. S. Fritsch, and J. R. Perry, "Left ventricular wall motion tracking via deformable shape loci," in Proc. CAR Int. Symp. Exhibition, Berlin, Germany, 1997.