Disease classification: A probabilistic approach

2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Volumn , Issue , 2010, Pages 1345-1348

  Rathi, Yogesh ^a   Malcolm, J ^a   Bouix, S ^a   McCarley, R ^a   Seidman, L ^a   Goldstein, J ^a   Westin, C F ^a   Shenton, M E ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Affine invariant; Classification; Diffusion tensor imaging (DTI); Schizophrenia

Indexed keywords

AFFINE INVARIANT; CROSS VALIDATION; DETECTION RATES; DIFFUSION TENSOR; DIFFUSION TENSOR IMAGING; DISEASE CLASSIFICATION; FALSE POSITIVE; FEATURE VECTORS; HIGH-DIMENSIONAL; INVARIANT REPRESENTATION; NORMAL CONTROLS; PARZEN WINDOW CLASSIFIERS; PROBABILISTIC APPROACHES; PROBABILISTIC REPRESENTATION; PROBABILISTIC TECHNIQUE; SCHIZOPHRENIC PATIENTS; TENSOR REPRESENTATION;

DIFFUSION; MEDICAL IMAGING;

TENSORS;

EID: 77955204019     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2010.5490246     Document Type: Conference Paper

References (20)

1. M.E. Shenton, C.C. Dickey, M. Frumin, and R.W. McCarley, "A review of MRI findings in schizophrenia," Schizophrenia Research, vol. 49, no. 1-2, pp. 1-52, 2001.
2. M. Kubicki, R. McCarley, C.-F. Westin, H.-J. Park, S. Maier, R. Kikinis, F.A. Jolesz, and M.E. Shenton, "A review of diffusion tensor imaging studies in schizophrenia," J. of Psychiatric Research, vol. 41, pp. 15-30, 2007.
3. C. Davatzikos, D. Shen, R.C. Gur, X. Wu, D. Liu, Y. Fan, P. Hughett, B.I. Turetsky, and R.E. Gur, "Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities," Archives of general psychiatry, vol. 62, no. 11, pp. 1218-1227, 2005.
4. Kilian M. Pohl and Mert R. Sabuncu, "A unified framework for mr based disease classification," in Information Processing in Medical Imaging, Jerry L. Prince, Dzung L. Pham, and Kyle J. Myers, Eds. 2009, vol. 5636 of Lecture Notes in Computer Science, pp. 300-313, Springer.
5. MWA Caan, KA Vermeer, LJ van Vliet, C. Majoie, BD Peters, GJ den Heeten, and FM Vos, "Shaving diffusion tensor images in discriminant analysis: A study into schizophrenia," Medical Image Analysis, vol. 10, no. 6, pp. 841-849, 2006.
6. A. Caprihan, GD Pearlson, and VD Calhoun, "Application of principal component analysis to distinguish patients with schizophrenia from healthy controls based on fractional anisotropy measurements," Neuroimage, vol. 42, no. 2, pp. 675-682, 2008.
7. J.S. Allen, J. Bruss, S. Mehta, T. Grabowski, C.K. Brown, and H. Damasio, "Effects of spatial transformation on regional brain volume estimates," NeuroImage, vol. 42, no. 2, pp. 535-547, 2008.
8. G. Kindlmann, DB Ennis, RT Whitaker, and C.F.Westin, "Diffusion tensor analysis with invariant gradients and rotation tangents," IEEE Transactions on Medical Imaging, vol. 26, no. 11, pp. 1483-1499, 2007.
9. PJ Basser, J. Mattiello, and D. LeBihan, "MR diffusion tensor spectroscopy and imaging," Biophysical Journal, vol. 66, no. 1, pp. 259-267, 1994.
10. D. LeBihan, J.F. Mangin, C. Poupon, C.A. Clark, S. Pappata, N. Molko, and H. Chabriat, "Diffusion tensor imaging: concepts and applications," Journal of Magnetic Resonance Imaging, vol. 13, pp. 534-546, 2001.
11. AC Aitken, "On least squares and linear combination of observations," in Proc. R. Soc. Edinb, 1934, vol. 55, pp. 42-48.
12. E. Ozarslan, B.C. Vemuri, and T.H. Mareci, "Generalized scalar measures for diffusion MRI using trace, variance, and entropy," Magnetic Resonance in Medicine, vol. 53, no. 4, pp. 866-876, 2005.
13. C.-F. Westin, S. E. Maier, H. Mamata, A. Nabavi, F. A. Jolesz, and R. Kikinis, "Processing and visualization of diffusion tensor MRI," Medical Image Analysis, vol. 6, no. 2, pp. 93-108, 2002.
14. E. Parzen, "On estimation of a probability density function and mode," The annals of mathematical statistics, pp. 1065-1076, 1962.
15. AK Jain and MD Ramaswami, "Classifier design with Parzen windows," Pattern Recognition and artificial intelligence, pp. 211-228, 1988.
16. D. Cremers, T. Kohlberger, and C. Schnrr, "Nonlinear shape statistics in mumfordshah based segmentation," in 7th ECCV '02, 2002, vol. 2351, pp. 93-108.
17. S. Aja-Fernandez, M. Niethammer, M. Kubicki, M. E. Shenton, and C. F. Westin, "Restoration of DWI data using a rician LMMSE estimator," IEEE Trans Med Imaging, vol. 27, pp. 1389-1403, 2008.
18. M. Jenkinson, P. Bannister, M. Brady, and S. Smith, "Improved optimization for the robust and accurate linear registration and motion correction of brain images," Neuroimage, vol. 17, no. 2, pp. 825-841, 2002.
19. V.N. Vapnik, The nature of statistical learning theory, springer, 2000.
20. G.C. Cawley and N.L.C. Talbot, "Efficient leave-one-out cross-validation of kernel Fisher discriminant classifiers," Pattern Recognition, vol. 36, no. 11, pp. 2585-2592, 2003.