Lung segmentation in chest radiographs by means of Gaussian kernel-based FCM with spatial constraints

6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009

Volumn 3, Issue , 2009, Pages 428-432

  Shi, Zhenghao ^a,b   Zhou, Peidong ^a   He, Lifeng ^b,c   Nakamura, Tsuyoshi ^b   Yao, Quanzhu ^a   Itoh, Hidenori ^b  

^a XI'AN UNIVERSITY OF TECHNOLOGY   (China)

^b NAGOYA INSTITUTE OF TECHNOLOGY   (Japan)

^c AICHI PREFECTURAL UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC SEGMENTATIONS; CHEST RADIOGRAPHS; DISTANCE METRICS; FUZZY C-MEANS ALGORITHMS; GAUSSIAN KERNELS; HUMAN OBSERVERS; LUNG FIELDS; LUNG SEGMENTATION; MEDICAL IMAGE ANALYSIS; OBJECTIVE FUNCTIONS; SPATIAL CONSTRAINTS; SPATIAL PENALTY TERM;

BIOLOGICAL ORGANS; COPYING; FUZZY CLUSTERING; FUZZY SYSTEMS; IMAGE ANALYSIS; PIXELS; RADIOGRAPHY;

CLUSTERING ALGORITHMS;

EID: 76449088593     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FSKD.2009.811     Document Type: Conference Paper

References (16)

1. B. van Ginneken, B.M.ter H. Romeny, and M. Viergever, "Computer-aided diagnosis in chest radiography: A survey," IEEE Trans. Med. Imaging, vol.20, no.12, pp.1228-1241, 2001.
2. L. Li, Y. Zheng, M. Kallergi, and R.A. Clark, "Improved method for automatic identification of lung regions on chest radiographs," Academic Radiology, vol.8, no.7, pp.629-638,2001.
3. S.G. Armato, M. L. Giger, and H. MacMahon, "Automated lung segmentation in digitized postero-anterior chest radiographs," Academic Radiology, vol.5, no.4, pp.245-255, 1998.
4. M.S. Brown, L.S. Wilson, B.D. Doust, R.W. Gill, and C. Sun, "Knowledge based method for segmentation and analysis of lung boundaries in chest X-ray images," Computerized Medical Imaging and Graphics, vol.22,no.6, pp.463-477, 1998.
5. X.W. Xu and K. Doi., "Image feature analysis for computer-aided diagnosis: detection of right and left hemidiaphragm edges and delineation of lung field in chest radiographs," Medical Physics, vol.23, no.9, pp.1613-1624, 1996.
6. J. Duryea and J.M. Boone, "A fully automatic algorithm for the segmentation of lung fields in digital chest radiographic images," Medical Physics, vol.22,no.2, pp.183-191, 1995.
7. O. Tsuji, M.T. Freedman, and S.K. Mun, "Automated segmentation of anatomic regions in chest radiographs using an adaptive-sized hybrid neural network," Medical Physics,vol.25, no.6, pp.998-1007, 1998.
8. N.F. Vittitoe, R. Vargas-Voracek, and C.E. Floyd Jr., "Identification of lung regions in chest radiographs using Markov Random Field modeling," Medical Physics, vol.25,no.6, pp.976-985, 1998.
9. B. van Ginneken and B. M. ter Haar Romeny, "Automatic segmentation of lung fields in chest radiographs," Medical Physics, vol.27, no.10, pp.2445-2455, 2000.
10. Rui Xu and Donald Wunsch, "Survey of Clustering Algorithms," IEEE Transactions on Neural Networks, vol.16, no.3, pp.645-678, 2005.
11. Chen W, Giger ML and Bick U, "A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images," Academic Radiology, vol.13, no.1, pp.63-72, 2006.
12. Mohamed N. Ahmed, Sameh M. Yamany et al., "A Modified Fuzzy C-Means Algorithm For Bias Field Estimation and Segmentation of MRI Data," IEEE Trans. Med Imaging, vol.21, no.3, pp.193-199, 2002.
13. Songcan Chen and Daoqiang Zhang, "Robust Image Segmentation Using FCM with Spatial Constraints Based on New Kernel-Induced Distance Measure," IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol.34, no.4, pp.1907-1916, 2004.
14. Liang Liao, Tusheng Lin and Bi Li, "MRI brain image segmentation and bias field correction based on fast spatially constrained kernel clustering approach," Pattern Recognition Letters, vol. 29, no.10, pp.1580-1588, 2008.
15. J. Shiraishi, S. Katsuragawa, J. Ikezoe, T. Matsumoto, T. Kobayashi, K. Komatsu, M. Matsui, H. Fujita, Y. Kodera, and K. Doi., "Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists' detection of pulmonary nodules," American Journal of Roentgenology, vol.174, no.1, pp.71-74, 2000.
16. Huber, P.J., Robust statistics, Wiley, New York, 1981.