Extraction of Left Ventricular Contours From Left Ventriculograms by Means of a Neural Edge Detector

IEEE Transactions on Medical Imaging

Volumn 23, Issue 3, 2004, Pages 330-339

  Suzuki, Kenji ^a   Horiba, Isao ^b   Sugie, Noboru ^c   Nanki, Michio ^d  

^a UNIVERSITY OF CHICAGO   (United States)

^b AICHI PREFECTURAL UNIVERSITY   (Japan)

^c MEIJO UNIVERSITY   (Japan)

^d CHUBU ROSAI HOSPITAL   (Japan)

Author keywords

Contour extraction; Neural network; Subtle edge; Supervised edge detection

Indexed keywords

ALGORITHMS; BACKPROPAGATION; CONTOUR MEASUREMENT; EDGE DETECTION; ERROR ANALYSIS; FEATURE EXTRACTION; IMAGE ANALYSIS; MULTILAYER NEURAL NETWORKS; NONLINEAR FILTERING; SIGNAL PROCESSING;

CONTOUR EXTRACTION; LEFT VENTRICULAR (LV); NEURAL EDGE DETECTORS (NED); SUBTLE EDGE;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CLINICAL TRIAL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DIGITAL SUBTRACTION ANGIOGRAPHY; HEART VENTRICLE; HISTOLOGY; HUMAN; METHODOLOGY; RADIOGRAPHY; RADIOISOTOPE VENTRICULOGRAPHY; REPRODUCIBILITY; SCINTISCANNING; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; ANGIOGRAPHY, DIGITAL SUBTRACTION; ARTIFICIAL INTELLIGENCE; HEART VENTRICLES; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; RADIONUCLIDE VENTRICULOGRAPHY; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 1642411032     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2004.824238     Document Type: Article

References (69)

1. P. Grattoni and R. Bonamini, "Contour detection of left ventricular cavity from angiographic images," IEEE Trans, Med. Imag., vol. MI-4, pp. 72-78, 1985.
2. R. E. van Bree, D. L. Pope, and D. L. Parker, "Improving left ventricular border recognition using probability surfaces," in Proc. Computers in Cardiology 1988, 1989, pp. 121-124.
3. P. Lilly, J. Jenkins, and P. Bourdillon, "Automatic contour definition on left ventriculograms by image evidence and a multiple template-based model," IEEE Trans. Med. Imag., vol. 8, pp. 173-185, 1989.
4. N. Fan, B. G. Denys, C. C. Li, and P. S. Reddy, "Automated left ventricular border determination in cineangiograms based on a dynamic spider model," in Proc. Computers in Cardiology 1990, 1991, pp. 439-442.
5. A. Demi, "New approach to automatic contour detection from image sequences: An application to ventriculographic images," Comput. Biomed. Res., vol. 27, pp. 157-177, 1994.
6. P. Clarysse, D. Friboulet, and I. E. Magnin, "Tracking geometrical descriptors on 3-D deformable surfaces: Application to the left ventricular surface of the heart," IEEE Trans. Med. Imag., vol. 16, pp. 392-404, Aug. 1997.
7. M. Baroni, "Computer evaluation of left ventricular wall motion by means of shape-based tracking and symbolic description," Med. Eng. Phys., vol. 21, pp. 73-85, 1999.
8. M. Moriyama, Y. Sato, H. Naito, M. Hanayama, T. Ueguchi, T. Harada, F. Yoshimoto, and S. Tamura, "Reconstruction of time-varying 3-D left ventricular shape from multiview X-ray cineangiocardiograms," IEEE Trans. Med. Imag., vol. 21, pp. 773-785, July 2002.
9. C. H. Chu, E. J. Delp, and A. J. Buda, "Detecting left ventricular endocardial and epicardial boundaries by digital two-dimensional echocardiography," IEEE Trans. Med. Imag., vol. 7, pp. 81-90, June 1988.
10. P. R. Detmer et al., "Matched filter identification of left-ventricular endocardial borders in transesophageal echocardiograms," IEEE Trans. Med. Imag., vol. 9, pp. 396-404, Dec. 1990.
11. 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.
12. G. Coppini, R. Poli, and G. Valli, "Recovery of the 3-D shape of the left ventricle from echocardiographic images," IEEE Trans. Med. Imag., vol. 14, pp. 301-317, June 1995.
13. 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.
14. E. D. Angelini, A. F. Laine, S. Takuma, J. W. Holmes, and S. Homma, "LV volume quantification via spatiotemporal analysis of real-time 3-D echocardiography," IEEE Trans. Med. Imag., vol. 20, pp. 457-469, June 2001.
15. G. Jacob, J. A. Noble, C. Behrenbruch, A. D. Kelion, and A. P. Banning, "A shape-space-based approach to tracking myocardial borders and quantifying regional left-ventricular function applied in echocardiography," IEEE Trans. Med. Imag., vol. 21, pp. 226-238, Mar. 2002.
16. K. P. Philip, E. L. Dove, D. D. McPherson, and K. B. Chandran. "Automatic detection of left ventricular endocardium in cardiac images," in Proc. Computers in Cardiology 1990, 1991, pp. 443-446.
17. S. Ranganath, "Contour extraction from cardiac MRI studies using snakes," IEEE Trans. Med. Imag., vol. 14, pp. 328-338, June 1995.
18. Y. Zimmer and S. Akselrod, "An automatic contour extraction algorithm for short-axis cardiac magnetic resonance images," Med. Phys., vol. 23, no. 8, pp. 1371-1379, Aug. 1996.
19. R. J. van der Geest et al., "Comparison between manual and semiautomated analysis of left ventricular volume parameters from short-axis MR images," J. Comput. Assist. Tomogr., vol. 21, no. 5, pp. 756-765, 1997.
20. Y.-P. Wang, Y. Chen, and A. A. Amini, "Fast LV motion estimation using subspace approximation techniques," IEEE Trans. Med. Imag., vol. 20, pp. 499-513, June 2001.
21. X. Papademetris, A. J. Sinusas, D. P. Dione, R. T. Constable, and J. S. Duncan, "Estimation of 3-D left ventricular deformation from medical images using biomechanical models," IEEE Trans. Med. Imag., vol. 21, pp. 786-799, July 2002.
22. J. S. Duncan, "Knowledge directed left ventricular boundary detection in equilibrium radionuclide angiography," IEEE Trans. Med. Imag., vol. MI-6, pp. 325-336, 1987.
23. A. E. Boudraa et al., "Left ventricle automated detection method in gated isotopic ventriculography using fuzzy clustering," IEEE Trans. Med. Imag., vol. 12, pp. 451-465, Sept 1993.
24. A. E. Boudraa et al., "Automated detection of the left ventricular region in gated nuclear cardiac imaging," IEEE Trans. Biomed. Eng., vol. 43, pp. 430-437, Apr. 1996.
25. M. Kass, A. Witkin, and D. Terzopoulos, "Snakes: Active contour models," Int. J. Comput. Vis., vol. 1, no. 3, pp. 321-331, 1988.
26. R. O. Duda and P. E. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1971, pp. 267-272.
27. M. H. Hueckel, "A local visual operator which recognizes edges and lines," J. ACM, vol. 20, no. 4, pp. 634-647, 1973.
28. D. Man and E. Hildreth, "Theory of edge detection," in Proc. Royal Soc. London, vol. B207, 1980, pp. 187-21.
29. J. F. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-8, pp. 679-698, 1986.
30. W. H. H. J. Lunsher and M. P. Beddoes, "Optimal edge detector design I: Parameter selection and noise effects," IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-8, pp. 164-177, Mar. 1986.
31. M. Petrou and J. Kittler, "Optimal edge detector for ramp edges," IEEE Trans. Pattern Anal. Machine Intell., vol. 13, pp. 483-491, May 1991.
32. M. Gudmundsson, E. A. El-kwae, and M. R. Kabuka, "Edge detection in medical images using a genetic algorithm," IEEE Trans. Med. Imag., vol. 17, pp. 469-474, June 1998.
33. L. Yin, J. Astola, and Y. Neuvo, "A new class of nonlinear filters - neural filters," IEEE Trans. Signal Processing, vol. 41, pp. 1201-1222, Mar. 1993.
34. Z. Z. Zhang and N. Ansari, "Structure and properties of generalized adaptive neural filters for signal enhancement," IEEE Trans. Neural Networks, vol. 7, pp. 857-868, July 1996.
35. L. Yin, J. Astola, and Y. Neuvo, "Adaptive multistage weighted order statistic filters based on the back propagation algorithm," IEEE Trans. Signal Processing, vol. 42, pp. 419-422, Feb. 1994.
36. K. Suzuki, I. Horiba, and N. Sugie, "Designing the optimal structure of a neural filter," in Neural Networks for Signal Processing VIII. Piscataway, NJ: IEEE Press, 1998, pp. 323-332.
37. K. Suzuki, I. Horiba, N. Sugie, and M. Nanki, "Noise reduction of medical X-ray image sequences using a neural filter with spatiotemporal inputs," in Proc. Int. Symp. Noise Reduction for Imaging and Communication Systems, Nov. 1998, pp. 85-90.
38. K. Suzuki, I. Horiba, and N. Sugie, "Signal-preserving training for neural networks for signal processing," in Proc. IEEE Int. Symp. Intelligent Signal Processing and Communication Systems, vol. 1, Nov. 2000, pp. 292-297.
39. _, "Training under achievement quotient criterion," in Neural Networks for Signal Processing X. Piscataway, NJ: IEEE Press, 2000, pp. 537-546.
40. _, "Simple unit-pruning with gain-changing training," inNeural Networks for Signal Processing XI. Piscataway, NJ: IEEE Press, 2001, pp. 153-162.
41. K. Suzuki, I. Horiba, N. Sugie, and M. Nanki, "Neural filter with selection of input features and its application to image quality improvement of medical image sequences," IEICE Trans. Inform. Syst., vol. E85-D, pp. 1710-1718, 2002.
42. K. Suzuki, I. Horiba, and N. Sugie, "Efficient approximation of neural filters for removing quantum noise from images," IEEE Trans. Signal Processing, vol. 50, pp. 1787-1799, July 2002.
43. C. Guzelis and S. Karamahmut, "Recurrent perception learning algorithm for CNN's with application to edge detection," in Proc. IEEE Int. Conf. Image Processing, 1997, pp. 1134-1139.
44. I. N. Aizenberg, N. N. Aizenberg, T. Bregin, C. Butakov, and E. Farberov, "Image processing using cellular neural networks based on multi-valued and universal binary neurons," in Neural Networks for Signal Processing X. Piscataway, NJ: IEEE Press, 2000, pp. 557-566.
45. I. N. Aizenberg, N. N. Aizenberg, and J. Vandewalle, Multi-Valued and Universal Binary Neurons - Theory, Learning and Applications. Boston, MA: Kluwer Academic, 2000.
46. H. Nagai, Y. Miyanaga, and K. Tochinai, "An edge detection by using self-organization," in Proc. IEEE ICASSP, 1998, pp. 2749-2752.
47. L. Guan, S. W. Perry, R. Romagnoli, H. Wong, and H. Kong, "Neural vision system and applications in image processing and analysis," in Proc. IEEE ICASSP, 1998, pp. 1245-1248.
48. P. J. Toivanen, J. Ansamaki, S. Leppajarvi, and J. P. S. Parkkinen, "Edge detection of multispectral images using the 1-D self organizing map," in Proc. Int. Conf. Artificial Neural Networks, 1998, pp. 737-742.
49. M. S. Bhuiyan, M. Sato, H. Fujimoto, and A. Iwata, "Edge detection by neural network with line process," in Proc. Int. Joint Conf Neural Networks, 1993, pp. 1223-1226.
50. H. Iwata, T. Agui, and H. Nagahashi, "Boundary detection of color images using neural networks," in Proc. IEEE Int. Conf. Neural Networks, 1995. pp. 1426-1429.
51. M. Muneyasu, K. Hotta, and T. Hinamoto, "Image restoration by Hopfield networks considering the line process," in Proc. IEEE Int. Conf. Neural Networks, 1995, pp. 1703-1706.
52. G. Ohashi, A. Ohya, M. Natori, and M. Nakajima, "Boundary estimation method for ultrasonic 3-D imaging," Proc. SPIE Medical Imaging, Image Processing, vol. 1898, pp. 480-486, 1993.
53. S. W. Lu and J. Shen, "Artificial neural networks for boundary extraction," in Proc. IEEE Int. Conf. Systems Man, and Cybernetics, vol. 3, 1996. pp. 2270-2275.
54. Z. He and M. Y. Siyal, "Edge detection with BP neural networks," in Proc. Int. Conf. Signal Processing, vol. 2, 1998, pp. 1382-1384.
55. K. Suzuki, I. Horiba, K. Ikegaya, and M. Nanki, "Recognition of coronary arterial stenosis using neural network on DSA system," Syst. Comput. Japan, vol. 26, no. 8, pp. 66-74, Aug. 1995.
56. K. Suzuki, I. Horiba, N. Sugie, and M. Nanki, "Computer-aided diagnosis system for coronary artery stenosis using a neural network," Proc. SPIE, vol. 4322, pp. 1771-1782, Feb. 2001.
57. K. Funahashi, "On the approximate realization of continuous mappings by neural networks," Neural Networks, vol. 2, pp. 183-192, 1989.
58. A. R. Barron, "Universal approximation bounds for superpositions of a sigmoidal function," IEEE Trans. Inform. Theory, vol. 39, pp. 930-945, Mar. 1993.
59. D. E. Rumelhart, G. E. Hinton, and R. J. Williams, "Learning representations of back-propagation errors," Nature, vol. 323, pp. 533-536, 1986.
60. _, "Learning Internal Representations by Error Propagation," in Parallel Distributed Processing. Cambridge, MA: MIT Press, 1986, vol. 1, ch. 8, pp. 318-362.
61. N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. Syst. Man, Cybern., vol. SMC-9, pp. 62-66, Jan. 1979.
62. A. V. Oppenheim and R. W. Schafer, Digital Signal Processing. Englewood Cliffs, NJ: Prentice-Hall, 1975.
63. G. B. Trobaugh, A. P. Hallstrom, and J. W. Kennedy, "Reproducibility of ventricular function measurements by contrast angiography," Catheterizat. Cardiovasc. Diagnosis, vol. 10, no. 6, pp. 561-572, 1984.
64. K. Suzuki, I. Horiba, and N. Sugie, "A simple neural network pruning algorithm with application to filter synthesis," Neural Processing Lett., vol. 13, no. 1, pp. 43-53, Feb. 2001.
65. C. Schaffer, "Selecting a classification method by cross-validation," in Proc. 4th Int. Workshop Artificial Intelligence and Statistics, Jan. 1993, pp. 15-25.
66. K. Suzuki, I. Horiba, and N. Sugie, "Linear-time connected-component labeling based on sequential local operations," Comput. Vis. Image Understanding, vol. 85, no. 1, pp. 1-23, Jan. 2003.
67. P. F. Cohn, J. A. Levin, G. A. Bergeron, and R. Gorlin, "Reproducibility of the angiographie left ventricular ejection fraction in patients with coronary artery disease," Amer. Heart J., vol. 88, pp. 713-720, 1974.
68. K. Suzuki, I. Horiba, and N. Sugie, "Neural edge enhancer for supervised edge enhancement from noisy images," IEEE Trans. Pattern Anal Machine Intell., vol. 25, pp. 1582-1596, Dec. 2003.
69. K. Suzuki, S. G. Armato, III, F. Li, S. Sone, and K. Doi, "Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose CT," Med. Phys., vol. 30, no. 7, pp. 1602-1617, July 2003.