An anatomical equivalence class based joint transformation-residual descriptor for morphological analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4584 LNCS, Issue , 2007, Pages 594-606

  Baloch, Sajjad ^a   Verma, Ragini ^a   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN; INFORMATION ANALYSIS; PROBLEM SOLVING; STATISTICAL TESTS;

ANATOMICAL EQUIVALENCE CLASS; COMPUTATIONAL ANATOMY; REAL 3D BRAIN SCANS; SIMULATED ATROPHY;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HISTOLOGY; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 38149105803     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73273-0_49     Document Type: Conference Paper

References (16)

1. Christensen, G., Rabbit, R., Miller, M.: A deformable neuroanatomy textbook based on viscous fluid mechanics. In: Proc. CISS'93 1993, pp. 211-216 (1993)
2. Miller, M., Banerjee, A., et al.: Statistical methods in computational anatomy. Statistical Methods in Medical Research 6, 267-299 1, 2 (1997)
3. Miller, M., Younes, L.: Group actions, homeomorphisms, and matching: a general framework. International Journal of Computer Vision 41(1), 61-84, 1 (2001)
4. Ashburner, J., Friston, K.: Nonlinear spatial normalization using basis functions. Human Brain Mapping 7(4), 254-266, 1 (1999)
5. Shen, D., Davatzikos, C.: HAMMER: Hierarchical attribute matching mechanism for elastic registration. IEEE TMI 21(11), 1421-1439 1,3 (2002)
6. Davatzikos, C., et al.: A computerized approach for morphological analysis of the corpus callosum. Journal of Comp. Assisted Tomography 20(1), 88-97 1, 2 (1996)
7. Ashburner, J., et al.: Identifying global anatomical differences: deformation-based morphometry. Human Brain Mapping 6(6), 348-357 1, 2 (1998)
8. Chung, M., Worsley, K., et al.: A unified statistical approach to deformation-based morphometry. Neurolmage 14(3), 595-600 1, 2 (2001)
9. Ashburner, J., Friston, K.J.: Voxel-based morphometry - the methods. NeuroImage 11(6), 805-821 1, 2 (2000)
10. Davatzikos, C., Gene, A., Xu, D., Resnick, S.: Voxel-based morphometry using RAVENS maps: methods and validation using simulated longitudinal atrophy. Neuroimage 14, 1361-1369 1,2,5 (2001)
11. Chetelat, G., et al.: Mapping gray matter loss with voxel-based morphometry in mild cognitive impairment. Neuroreport 13(15), 1939-1943 1, 2 (2002)
12. Thompson, P., et al.: Growth patterns in the developing human brain detected using continuum-mechanical tensor mapping. Nature 404(6774), 190-193 1,2 (2000)
13. Leow, A., Klunder, A., et al.: Longitudinal stability of mri for mapping brain change using tensor-based morphometry. Neuroimage 31(2), 627-640 1,2 (2006)
14. Joshi, S.: Large deformation diffeomorphisms and Gaussian random fields for statistical characterization of brain sub-manifolds. PhD thesis, Washington University, St. Louis 2 (1998)
15. Makrogiannis, S., et al.: Anatomical equivalence class: A computational anatomy framework using a lossless shape descriptor. IEEE TMI (Accepted) 5
16. Karaçhali, B., Davatzikos, C.: Simulation of tissue atrophy using a topology preserving transformation model. IEEE TMI 25(5), 649-652 9 (2006)