Content based image retrieval for MR image studies of brain tumors

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 3337-3340

  Dube, Shishir ^a   El Saden, Suzie ^a   Cloughesy, Timothy F ^b   Sinha, Usha ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN TUMORS; LINEAR DISCRIMINANT ANALYSIS (LDA); QUERY IMAGE;

DATA REDUCTION; IMAGE SEGMENTATION; PRINCIPAL COMPONENT ANALYSIS; QUERY LANGUAGES; SUPPORT VECTOR MACHINES; TUMORS;

IMAGE RETRIEVAL;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; ASTROCYTOMA; BIOMEDICAL ENGINEERING; BRAIN TUMOR; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DIFFERENTIAL DIAGNOSIS; DISCRIMINANT ANALYSIS; FACTUAL DATABASE; GLIOBLASTOMA; GLIOMA; HUMAN; INFORMATION SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; OLIGODENDROGLIOMA; PATHOLOGY; PRINCIPAL COMPONENT ANALYSIS; STATISTICS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; ASTROCYTOMA; BIOMEDICAL ENGINEERING; BRAIN NEOPLASMS; DATABASES, FACTUAL; DIAGNOSIS, DIFFERENTIAL; DISCRIMINANT ANALYSIS; GLIOBLASTOMA; GLIOMA; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION SYSTEMS; MAGNETIC RESONANCE IMAGING; OLIGODENDROGLIOMA; PRINCIPAL COMPONENT ANALYSIS;

EID: 34047147082     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260262     Document Type: Conference Paper

References (10)

1. Sinha, U, Kangarloo H. Principal Component Analysis for Content-based Image Retrieval, Radiographics, 22(5): 1272-1289, 2002.
2. A. W. M. Smoulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-Based Image Retrieval: The End of the Early Years, IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12): 1349-1380, December 2000.
3. Shyu, C, et al. ASSERT: A physician-in-the-loop content-based image retrieval system for HRCT image databases, Computer Vision and Image Understanding, 75(1/2): 111-132, July 1999.
4. Dahmen J, Theiner T, Keysers D, Ney H, Lehmann TM, Wein BB. Classification of radiographs in the image retrieval in medical application system IRMA, Proceedings 6th International RIAO Conference on Content-Based Multimedia Information Access, Paris, France, 551-566, 2000.
5. S.M. Smith, et al. Advances in functional and structural MR image analysis and implementation as FSL, NeuroImage, 23(S1): 208-221, 2004.
6. Nyul LG, Udupa JK. On Standardizing the MR image intensity scale, Magn Reson Med., 42(6): 1072-81, 1999.
7. Zhang Y, Goldszal A, Butman J, and Choyke P. Improving Image Contrast Using Principal Component Analysis for Subsequent Image Segmentation, Journal of Computer Assisted Tomography, 25 (5): 817-822, 2001.
8. Turk M and Pentland A. Eigenfaces for Recognition, J. Cognitive Neuroscience, 3(1), 1991.
9. Belhumeur P, Hespanha J, and Kriegman D. Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19 (7): 711-720, 1997.
10. Martinez A and Kak A. PCA versus LDA, IEEE Transactions on Pattern Analysis and Machine Intelligence, 23 (2): 228-233, 2001.