Upper airway segmentation and measurement in MRI using fuzzy connectedness

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 4683, Issue , 2002, Pages 238-247

  Liu, Jianguo ^a   Udupa, Jayaram K ^a   Odhner, Dewey ^a   McDonough, Joe M ^b   Arens, R ^b  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b CHILDREN S HOSPITAL OF PHILADELPHIA   (United States)

Author keywords

Fuzzy connectedness; Magnetic resonance imaging; Quantitative evaluation; Segmentation; Upper airway; Visualization

Indexed keywords

COMPUTER AIDED DIAGNOSIS; FUZZY SETS; IMAGE ANALYSIS; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; TISSUE;

FUZZY CONNECTEDNESS;

MEDICAL IMAGING;

EID: 0036034933     PISSN: 0277786X     EISSN: None     Source Type: Journal    
DOI: 10.1117/12.463588     Document Type: Article

References (26)

1. Milan Sonka, Wonkyu Park and Eric A. Hoffman, "Rule-based detection of intrathoracic airway trees," IEEE Trans. Med. Imag., 15, pp. 314-326, 1996.
2. Wonkyu Park, Eric A. Hoffman, and Milan Sonka, "Segmentation of intrathoracic airway trees: a fuzzy logic approach," IEEE Trans. Med. Imag., 17, pp. 489-497, 1998.
3. H. Kiatolo and T. Yumoto, "Three-dimensional CT of the bronchial tree. A trial using an inflated fixed lung specimen," Invest. Radiol., 26, pp. 813-817, 1990.
4. D.R. Ney, J.E. Kuhlman, R.H. Hruban, H. Ren, G.M. Hutchins, and E.K. Fishman, "Three-dimensional CT volumetric reconstruction and display of the bronchial tree," Invest. Radiol., 25, pp. 736-742, 1989.
5. S. Wood, J. Hoford, A. Zerhouni, E. Hoffman, and W. Mitzner, "Quantitative 3-D reconstruction of airway and pulmonary vascular trees using HRCT," Proceedings of SPIE, 1905, pp. 316-323, 1993.
6. S. Wood, A. Zerhouni, E. Hoffman, and W. Mitzner, "Measurement of three-dimensional lung tree structures using computed tomography," J. Appl. Physiol., 79, pp. 1687-1697, 1995.
7. T. Tozaki, Y. Kawata, N. Niki, H. Ohmatsu, K. Eguchi, and N. Moriyama, "Three-dimensional analysis of lung area using thin slice CT images," Proceedings of SPIE, 2709, pp. 2-11, 1996.
8. M.S. Brown, M.F. Mcnitt, N.J. Mankovich, J. Goldin, and D.R. Aberle, "Knowledge-based automated technique for measuring total lung volume from CT," Proceedings of SPIE, 2709, pp. 63-74, 1996.
9. P. Dastidar, T. Heinonen, J. Numminen, M. Rautiainen, and E. Laasonen, "Semi-automatic segmentation of computed tomographic images in volumetric estimation of nasal airway," Eur Arch Otorhinolaryngol, 256, pp. 192-198, 1999.
10. Joseph M. Reinhardt, Neil D. D'Souza, and Eric A. Hoffman, "Accurate measurement of intrathoracic airway," IEEE Trans. Med. Imag., 16, pp. 820-827, 1997.
11. th scientific assembly and annual meeting, RSNA'01, 221(P), pp. 245, 2001.
12. Jayaram K. Udupa and S. Samarasekera, "Fuzzy connectedness and object definition: theory, algorithms and application in image segmentation," Graphical Models and Image Processing, 58, pp. 246-261, 1996.
13. Jayaram K. Udupa, L. Wei, S. Samarasekera, Y. Miki, M.A. van Buchem, and R.I. Grossman, "Multiple sclerosis lesion quantification using fuzzy-connectedness principles," IEEE Trans. Med. Imag., 16, pp. 598-609, 1997.
14. B.L. Rice, Jr. and Jayaram K. Udupa, "Clutter-free volume rendering for magnetic resonance angiography using fuzzy connectedness," International Journal of Imaging Systems and Technology, 11, pp. 62-70, 2000.
15. Tianhu. Lei, Jayaram K. Udupa, Punam K. Saha, and Dewey. Odhner, "Artery-vein separation via MRA-an image processing approach," IEEE Trans. Med. Imag., 20, pp. 689-703, 2001.
16. Jayaram K. Udupa, J. Tian, D. Hemmy, and P. Tessier, "A pentium PC-based craniofacial 3D imaging and analysis system," Journal of Craniofacial Surgery, 8, pp. 333-339, 1997.
17. Punam K. Saha, Jayaram K. Udupa, Emily F. Conant, and Dev P. Chakraborty, and Daniel Sullivan, "Breast tissue density quantification via digitized mammograms," IEEE Trans. Med. Imag., 20, pp. 792-803, 2001.
18. Jayaram K. Udupa, D. Odhner, S. samarasekera, R. Goncalves, K. Iyer, K. Venugopal, and S. Furuie, "3DVIEWNIX: An open, transportable, multidimensional, multimodality, multiparametric imaging software system," SPIE Proceedings, 2164, pp. 58-73, 1994.
19. Ying Zhuge, Jayaram K. Udupa, Jiaming.Liu, Punam K. Saha, T. Iwanage, "Scale-based method for correcting background intensity variation in acquired images," SPIE Proceedings, 4684, 2002.
20. Laszlo G. Nyul and Jayaram K. Udupa, "On standardizing the MR image intensity scale," Magnetic Resonance in Medicine, 42, pp. 1072-1081, 1999.
21. Punam K. Saha and Jayaram K. Udupa, "Relative fuzzy connectedness among multiple object: theory, algorithms, and applications in image segmentation," Computer Vision and Image Understanding, 82, pp. 42-56, 2001.
22. Sai Prasad Raya and Jayaram K. Udupa, "Shape-based interpolation of multidimensional objects," IEEE Trans. Med. Imag., 9, pp. 32-42, 1990.
23. W.E. Higgins, C. Morice, and E.L. Ritman, "Shape-based interpolation of tree like structure in three-dimensional images," IEEE Trans. Med. Imag., 12, pp. 439-450, 1993.
24. Jayaram K. Udupa and Dewey. Odhner, "Shell rendering," IEEE Computer Graphics and Applications, 13, pp. 58-67, 1993.
25. G. Borgefors, "On digital distance transform in three dimensions," Computer Vision and Image Understanding, 64, no. 3, pp. 368-376, 1996.
26. A.X. Falcao, J.K. Udupa, and F.K. Miyazawa, "An ultra-fast user-steered image segmentation paradigm: Live wire on the fly," IEEE Transactions on Medical Imaging, 19, no. 1, pp. 55-61, 2000.