Using maximal cross-section detection for the registration of 3D image data of the head

Journal of Medical and Biological Engineering

Volumn 31, Issue 3, 2011, Pages 217-226

  Jiang, Ching Fen ^a   Huang, Chih Hua ^a   Yang, Shih Ting ^a  

^a I SHOU UNIVERSITY   (Taiwan)

Author keywords

3D image registration; Image segmentation; Maximal cross section

Indexed keywords

3D IMAGE DATA; 3D IMAGE REGISTRATION; 3D REGISTRATION; ANATOMICAL FEATURES; AUTOMATIC DETECTION; AUTOMATIC METHOD; BRAIN STRUCTURE; CLINICAL APPLICATION; CLINICAL DATA; CLINICAL USE; CROSS SECTIONAL AREA; FEATURE IDENTIFICATION; FUNCTIONAL CHANGES; FURTHER DEVELOPMENT; MAXIMAL CROSS-SECTION; MULTIPLE IMAGING MODALITY; PRACTICAL SCHEMES; REGISTRATION ACCURACY; REGISTRATION METHODS; SIMILARITY MEASURE; TARGET VOLUMES;

IMAGE SEGMENTATION;

THREE DIMENSIONAL;

ACCURACY; ARTICLE; CLINICAL EFFECTIVENESS; EVALUATION; HEAD; IMAGE PROCESSING; MAXIMAL CROSS SECTIONAL AREA; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; THREE DIMENSIONAL IMAGING; VISUAL INFORMATION;

EID: 79960620835     PISSN: 16090985     EISSN: None     Source Type: Journal    
DOI: 10.5405/jmbe.677     Document Type: Article

References (23)

1. C. Studholme, D. L. G. Hill and D. Hawkes, "Automated 3-D registration of MR and CT images of the head," Med. Image Anal., 1: 163-175, 1996.
2. D. L. G. Hill and P. Batchelor, "Registration methodology: concepts and algorithms," in: J. V. Hajnal, D. L. G. Hill and D. J. Hawkes (Eds.), Medical Image Registration, Boca Raton, FL: CRC Press, 2001.
3. C. S. Pattichis, M. S. Pattichis, W. M. Wells, P. Viola, H. Atsumi and N. S. Kikinis, "Multi-modal volume registration by maximization of mutual information," Med. Image Anal., 1: 35-51, 1996.
4. C. Studholme, D. L. G. Hill and D. Hawkes, "An overlap invariant entropy measure of 3D medical image alignment," Pattern Recognit. Lett., 32: 71-86, 1999.
5. Y. M. Zhu, "Volume image registration by cross-entropy optimization," IEEE Trans. Med. Imaging,21: 174-180, 2002.
6. A. Roche, X. Pennec, G. Malandain and N. Ayache, "Rigid registration of 3-D ultrasound with MR images: a new approach combining intensity and gradient information," IEEE Trans. Med. Imaging,20: 1038-1049, 2001.
7. Y. L. Liao, N. T. Chiu, C. M. Weng and Y. N. Sun, "Registration and normalization techniques for assessing brain functional images," Biomed. Eng. Appl. Basis Commun., 15: 87-94, 2003.
8. J. P. W. Pluim, J. B. A. Maintz and M. A. Viergever, "Mutual-information-based registration of medical images: a survey," IEEE Trans. Med. Imaging, 22: 986-1004, 2003.
9. P. Thévenaz and M. Unser, "Optimization of mutual information for multiresolution image registration," IEEE Trans. Image Process., 9: 2083-2099, 2000.
10. H. W. Wen and C. Yung, "Image registration by control points pairing usingthe invariant properties of line segments," Pattern Recognit. Lett., 18: 269-281, 1997.
11. J. B. A. Maintz and M. A. Viergever, "A survey of medical image registration," Med. Image Anal.,2: 1-37, 1998.
12. H. J. Johnson and G. E. Christensen, "Consistent landmark and intensity-based image registration," IEEE Trans. Med. Imaging, 21: 450-461, 2002.
13. P. Dhawan, "Image registration," in:M. Akay (Ed.), Medical Image Analysis, New Jersey: IEEE Press, 251-276, 2003.
14. D. L. G. Hill, P. G. Batchelor, M. Holden and D. J. Hawkes, "Medical image registration," Phys. Med. Biol., 46: R1-R45, 2001.
15. M. Betke, H. Hong, D. Thomas, C. Prince and P. K. Jane, "Landmark detection in the chest and registration of lung surfaces with an application to nodule registration," Med. Image Anal., 7: 265-281, 2003.
16. Y. T. Chen and M. S. Wang, "Three-dimensional reconstruction and fusion for multi-modality spinal images," Comput. Med. Imaging Graph., 28: 21-31, 2004.
17. National Library of Medicine, National Institute of Health, U.S., "The visible human project," Available: http://www.nlm.nih.gov/research/visible/visible_human.html
18. M. M. Hadhoud, F. E. A. El-Samie and S. E. El-Khamy, "New trends in high resolution image," Proc. 4th Workshop on photonics and its application, 2-23, 2004.
19. N. Otsu, "A threshold selection method from gray-level histograms," IEEE Trans. SMC, 9: 62-66, 1979.
20. C.F.Jiang, T. C. Lu and S. P. Sun, "Interactive image registration tool for positioning verification in head and neck radiotherapy," Comput. Biol. Med., 38: 90-100, 2008.
21. R. C. Gonzalez and R. E. Woods (Eds.), Digital Image Processing, Upper Saddle River, NJ: Prentice-Hall Press, 2002.
22. J. K. Udupa and D. Odhner, "Shell rendering,"IEEE Comput. Graph. Appl., 13: 58-67, 1993.
23. Y. Livnat and C. Hansen, "View dependent isosurface extraction," Proc. IEEE Visualization, 175-180, 1998.