Tissues classification for breast MRI contrast enhancement using spectral signature detection approach

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn 5, Issue , 2006, Pages 3917-3921

  Chung, Pau Choo ^a,b   Wang, Chuin Mu ^c   Yang, Shcng Chih ^b,c   Hsu, Hsian He ^d  

^a IEEE   (Taiwan)

^b NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^c NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^d TRI SERVICE GENERAL HOSPITAL   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

BIOMEDICAL ENGINEERING; MAGNETIC RESONANCE IMAGING; TISSUE;

BREAST CANCER SCREENING; CONSTRAINED ENERGY MINIMIZATION (CEM); GLANDULAR TISSUE;

IMAGE CLASSIFICATION;

EID: 34548131615     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2006.384743     Document Type: Conference Paper

References (17)

1. BI-RADS Breast Imaging Reporting and Data System - Magnetic Resonance Imaging, First Edition, American College of Radiology, 2003.
2. C.K. Kuhl, R.K. Schmutzler, C.C. Leutner, A. Kempe, E. Wardelmann, A. Hocke, M. Maringa, U. Pfeifer, D. Krebs and H. H. Schild, "Breast MR Imaging Screening in 192 Women Proved or Suspected to Be Carriers of a Breast Cancer Susceptibility Gene: Preliminary Results I" Radiology 2000; 215:267-279.
3. nd edition, Springer-Verlag, 1996.
4. J.C. Harsanyi, "Detection and classification of subpixel spectral signatures in hyperspectral image sequences," Ph.D. dissertation, Dept, Elect. Eng., Univ. Maryland Baltimore County, Baltimore, MD, 1993.
5. J.C. Harsanyi,W. Farrand, and C-I. Chang, "Detection of subpixel spectral signatures in hyperspectral image sequences," in Proc. American Society of Photogrammetry&Remote Sensing Annu. Meeting, Reno, 1994, pp. 236-247.
6. R.S. Resmini, M.E. Kappus, W.S. Aldrich, J.C. Harsanyi, and M. Anderson, "Mineral mapping with HYperspectral Digital Imagery Collection Experiment (HYDICE) sensor data at Cuprite, Nevada, U.S.A.," Int. J. Remote Sensing, vol. 18, no. 17, pp. 1553-1570, 1997.
7. W. Farrand and J.C. Harsanyi, "Mapping The distribution of mine tailing in the Coeur d'Alene river valley, Idaho, through the use of constrained energy minimization technique," Remote Sensing of Environment, vol. 59, pp. 64-76, 1997.
8. S. Haykin, Adaptive Filter Theory, 3rd ed. Englewood Cliffs, NJ: Prentice-Hall, 1996.
9. O.L. Frost, III, "An algorithm for linearly constrained adaptive array processing," Proc. IEEE, vol. 60, pp. 926-935, 1972.
10. B.D.VanVeen and K.M. Buckley, "Beamforming:A versatile approach to spatial filtering," IEEE Acoust, Speech, Signal Processing Mag., pp. 4-24, Apr. 1988.
11. C.M. Wang, Sheng-Chih Yang, P.C. Chung, C-I. Chang, and C.C. Chen, "Orthogonal Subspace Projection-Base Approaches to Classification of MR Images Sequences," Computerized Medical Imaging and Graphics, vol. 25, no. 6, pp. 465-476, Dec. 2001
12. C.-I Chang, "An information theoretic-based approach to spectral variability, similarity and discriminability for hyperspectral image analysis," IEEE Trans. on Information Theory, vol. 46, no. 5, pp. 1927-1932, August 2000.
13. C.-I Chang, Hyperspectral Imaging: Techniques for Spectral detection and Classification, Kluwer Academic/Plenum Publishers, 2003.
14. R. Schalkoff, Pattern Recognition: Statistical, Structural and Neural Approaches. New York: Wiley, 1992.
15. R.O. Duda and P.E. Hart, Pattern Classification and Scene Analysis. New York: Wiley, 1973.
16. C.M. Wang, C.C. Chen, Y.N. Chung, S.C. Yang, P.C. Chung, C.C. Wen, C.-I. Chang, "Detection of Spectral Signatures in Mullispectral MR Images for Classification," IEEE Transaction on Medical Imaging, vol. 12, no. 1, pp. 50-61, Jan. 2003
17. C.M. Wang, C.C. Chen, S.C. Yang, P.C. Chung, Y.N. Chung, C.W. Yang, and C.-I. Chang "An Unsupervised Orthogonal Subspace Projection Approach to MR Image Classification," Optical Engineering, vol. 41, no. 7, pp. 1546-1557, July. 2002