Actual midline estimation from brain CT scan using multiple regions shape matching

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2010, Pages 2552-2555

  Chen, Wenan ^a   Najarian, Kayvan ^b   Ward, Kevin ^b  

^a Virginia Commonwealth University   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN VENTRICLES; COMPUTER ASSISTED; CT IMAGE; CT SCAN; DEFORMATION PROBLEMS; FEATURE POINT; HUMAN EYE; MEDICAL IMAGE PROCESSING; MULTIPLE REGIONS; SHAPE MATCHING; TRAUMATIC BRAIN INJURIES;

ALGORITHMS; IMAGE PROCESSING; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; PATTERN RECOGNITION;

COMPUTERIZED TOMOGRAPHY;

EID: 78149491558     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2010.625     Document Type: Conference Paper

References (10)

1. W. Chen and K. Najarian, "Segmentation of Ventricles in Brain CT Images Using Gaussian Mixture Model Method," in Proceedings of IEEE International Conference on Complex Medical Engineering, April 2009, pp. 15-20.
2. A. Lauric and S. Frisken, "Soft segmentation of ct brain data," Technical Report TR-2007-3 Tufts University, MA, Tech. Rep., 2007.
3. C.-C. Liao, F. Xiao, J.-M. Wong, and I.-J. Chiang, "A simple genetic algorithm for tracing the deformed midline on a single slice of brain ct using quadratic bézier curves," in ICDMW '06: Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops. Washington, DC, USA: IEEE Computer Society, 2006, pp. 463-467.
4. P. C. Marais, R. Guillemaud, M. Sakuma, A. Zisserman, and M. Brady, "Visualising cerebral asymmetry," in Visualization in Biomedical Computing VBC'96. Hamburg, Germany: Lecture Notes in Computer Science,K. H. Hohne and R. Kikinis, Eds, Springer, 1996, pp. 411-416.
5. M. E. Brummer, "Hough transform detection of the longitudinal fissure in tomographic head images," Medical Imaging, IEEE Transactions on, vol. 10, pp. 74-81, 1991.
6. B. Zitová and J. Flusser, "Image registration methods: a survey," Image and Vision Computing, vol. 21, pp. 977-1000, 2003.
7. C. Jongen, J. P. W. Pluim, P. J. Nederkoorn, M. A. Viergever, and W. J. Niessen, "Construction and evaluation of an average ct brain image for inter-subject registration," Computers in Biology and Medicine, vol. 34, no. 8, pp. 647-662, 2004.
8. S. Belongie, J. Malik, and J. Puzicha, "Shape matching and object recognition using shape contexts," IEEE Trans. Pattern Anal. Mach. Intell., vol. 24, no. 4, pp. 509-522, 2002.
9. T. B. Sebastian, P. N. Klein, and B. B. Kimia, "Recognition of shapes by editing their shock graphs," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 5, pp. 550-571, May 2004.
10. X. Huang, N. Paragios, and D. Metaxas, "Shape registration in implicit spaces using information theory and free form deformations," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 28, no. 8, pp. 1303-1318, Aug. 2006.