KNN-based multi-spectral MRI brain tissue classification: Manual training versus automated atlas-based training

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 6144 II, Issue , 2006, Pages

  Vrooman, Henri A ^a   Cocosco, Chris A ^b   Stokking, Rik ^a   Arfan Ikram, M ^a   Vernooij, Meike W ^a   Breteler, Monique M ^a   Niessen, Wiro J ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b PHILIPS RESEARCH LABORATORIES   (Germany)

Author keywords

Atlas based Brain Segmentation; Brain Tissue Classification; K Nearest Neighbor Classification; Magnetic Resonance Imaging; Pattern Recognition

Indexed keywords

AUTOMATION; BODY FLUIDS; BRAIN; CLASSIFICATION (OF INFORMATION); IMAGE SEGMENTATION; PATTERN RECOGNITION; TISSUE;

ATLAS-BASED BRAIN SEGMENTATION; BRAIN TISSUE CLASSIFICATION; CEREBROSPINAL FLUID (CSF); K-NEAREST-NEIGHBOR CLASSIFICATION;

MAGNETIC RESONANCE IMAGING;

EID: 33745141592     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.650522     Document Type: Conference Paper

References (13)

1. K. van Leemput, F. Maes, D. van der Meulen, P. Suetens, "Automated Model-Based Tissue Classification of MR Images of the Brain", IEEE Trans. Med Imaging 18(10), pp. 897-908, 1999.
2. S.K. Warfield, M. Kaus, F.A. Jolesz, R. Kikinis, "Adaptive, Template-Moderated, Spatially Varying Statistical Classification", Medical Image Analysis 4(1), pp. 43-55, 2000.
3. P.A. Anbeek, K.L. Vincken, J.P. van Osch, R.H.C. Bisschops, J. van der Grond, "Probabilistic Segmentation of White Matter Lesions in MR Imaging", NeuroImage 21, pp. 1037-44, 2004.
4. M. Prastawa, J. Gilmore, W. Lin, G. Gerig, "Automatic Segmentation of Neonatal Brain MRI", MICCAI Lecture Notes in Computer Science, pp. 10-17, 2004.
5. C.A. Cocosco, A.P. Zijdenbos, C.E. Evans, "A fully Automatic and Robust MRI Tissue Classification Method", Medical Image Analysis 7, pp. 513-27, 2003.
6. R.O. Duda, P.E. Hart, D.G. Stork, Pattern Classification 2nd Edition, Wiley, New York, 2001.
7. L. Devroye, "On the almost everywhere convergence of nonparametric regression function estimates", Annals of Statistics 9, 1310-1319, 1981.
8. C. Stone, "Consistent nonparametric regression", Annals of Statistics 5, 595-645, 1977.
9. S.E. Vermeer, N.D. Prins, T. den Heijer, A. Hofman, P.J. Koudstaal, M.M.B. Breteler, "Silent brain infarcts and the risk of dementia and cognitive decline", N Engl J Med. 348(13), pp. 1215-22, 2003.
10. T. Den Heijer, S.E. Vermeer, R. Clarke, M. Oudkerk, P.J. Koudstaal, A. Hofman, M.M.B. Breteler, "Homocysteine and Brain Atrophy on MRI of Non-demented Elderly", Brain 126, pp. 170-175, 2003.
11. J.G. Sled, A.P. Zijdenbos, A.C. Evans, "A Non-parametric Method for Automatic Correction of Intensity Non-uniformity in MRI Data", IEEE Trans. Med. Imaging 17, pp. 87-97, 1998.
12. D. Mount, S. Arya, "ANN: Library for approximate nearest neighbor searching", http://www.cs.umd.edu/~mount/ANN/, 1998.
13. G. Enas, A. Choi, "Choice of the smoothing parameter and efficiency of k-nearest neighbour classification", Computers and Mathematics with Applications 12A (2), 235-244, 1986.