A tracking approach to parcellation of the cerebral cortex

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

Volumn 3749 LNCS, Issue , 2005, Pages 294-301

  Adamson, Chris ^a   Johnston, Leigh ^a   Inder, Terrie ^a   Rees, Sandra ^a   Mareels, Iven ^a   Egan, Gary ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

HISTOLOGY; MARKOV PROCESSES; MATHEMATICAL MODELS; MEDICAL IMAGING;

CEREBRAL CORTEX; NEUROIMAGING; PARCELLATION;

NEUROLOGY;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN CORTEX; CLUSTER ANALYSIS; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CYTOLOGY; EVALUATION; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PAPIO; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; CEREBRAL CORTEX; CLUSTER ANALYSIS; COMPUTER SIMULATION; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PAPIO; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 33744812469     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_37     Document Type: Conference Paper

References (12)

1. Garey, L.J.: Brodmann's Localisation in the Cerebral Cortex. Smith-Gordon, London (1994)
2. Schleicher, A., Amunts, K., Geyer, S., Morosan, P., Zilles, K.: Observer-Independent Method for Microstructural Parcellation of Cerebral Cortex: A Quantitative Approach to Cytoarchitectonics. Neurolmage 9 (1999) 165 - 177
3. Annese, J., Pitiot, A., Dinov, I.D., Toga, A.W.: A myelo-architectonic method for the structural classification of cortical areas. NeuroImage 21 (2004) 15 - 26
4. Adamson, C., Davies, R., Inder, T., Rees, S., Mareels, I., Egan, G.: Markov random field-based parcellation of the cerebral cortex: Application to histology images. In: ISSNIP 2004. Volume 1. (2004) 559 - 564
5. Kruggel, F., Brückner, M.K., Arendt, T., Wiggins, C.J., von Cramon, D.Y.: Analyzing the Neocortical Fine-Structure. Medical Image Analysis 7 (2003) 251 -264
6. Xie, X., Evans, R.J.: Multiple target tracking and multiple frequency line tracking using hidden Markov models. IEEE Transactions on Signal Processing 39 (1991) 2659 - 2676
7. Walters, N., Egan, G., Kril, J., Kean, M., Waley, P., Jenkinson, M., Watson, J.: In vivo Identification of Human Cortical Areas using High-Resolution MRI: An Approach to Cerebral Structure-Function Correlation. Proceedings of the National Academy of Sciences 100 (2003) 2981 - 2986
8. Barbier, E.L., Marrett, S., Danek, A., Vortmeyer, A., van Gelderen, P., Duyn, J., Bandettini, P., Grafman, J., Koretsky, A.P.: Imaging Cortical Anatomy by High-Resolution MR at 3.0T: Detection of the Stripe of Gennari in Visual Area 17. Magnetic Resonance in Medicine 48 (2002) 735 - 738
9. Bridge, H., Clare, S., Jenkinson, M., Jezzard, P., Parker, A.J., Matthews, P.M.: Independent anatomical and functional measures of the V1/V2 boundary in human visual cortex. Journal of Vision 5 (2005) 93 - 102
10. Jones, S.E., Buchbinder, B.R., Aharon, I.: Three-Dimensional Mapping of Cortical Thickness Using Laplace's Equation. Human Brain Mapping 11 (2002) 12 - 32
11. Rabiner, L.R.: A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE 77 (1989) 257 - 286
12. Elder, J.H., Krupnik, A., Johnston, L.A.: Contour Grouping with Prior Models. IEEE Transactions on Pattern Analysis and Machine Intelligence 25 (2003) 661 - 674