A comparison between neural and fuzzy cluster analysis techniques for functional MRI

Biomedical Signal Processing and Control - Tập 1 - Trang 243-252 - 2006
O. Lange1, A. Meyer-Baese1, M. Hurdal2, S. Foo1
1Department of Electrical and Computer Engineering, Florida State University, Tallahassee, FL 32310-6046, USA
2Department of Mathematics, Florida State University, Tallahassee, FL 32306-4510, USA

Tài liệu tham khảo

Ogawa, 1992, Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging, Proc. Natl. Acad. Sci., 89, 5951, 10.1073/pnas.89.13.5951 Ogawa, 1993, The sensitivity of magnetic resonance image signals of a rat brain to changes in the cerebral venous blood oxygenation activation, Magn. Reson. Med., 29, 205, 10.1002/mrm.1910290208 Lange, 1999, Statistical thinking in functional and structural magnetic resonance imaging, Stat. Med., 18, 2401, 10.1002/(SICI)1097-0258(19990915/30)18:17/18<2401::AID-SIM264>3.0.CO;2-Z Calhoun, 2001, Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms, Hum. Brain Mapp., 13, 43, 10.1002/hbm.1024 McKeown, 1998, Spatially independent activity patterns in functional magnetic resonance imaging data during the stroop color-naming task, Proc. Natl. Acad. Sci., 95, 803, 10.1073/pnas.95.3.803 Sychra, 1994, Synthetic images by subspace transforms. i. Principal components images and related filters, Med. Phys., 21, 193, 10.1118/1.597374 Backfrieder, 1996, Quantification of intensity variations in functional MR images using rotated principal components, Phys. Med. Biol., 41, 1425, 10.1088/0031-9155/41/8/011 McKeown, 1998, Analysis of fMRI data by blind separation into independent spatial components, Hum. Brain Mapp., 6, 160, 10.1002/(SICI)1097-0193(1998)6:3<160::AID-HBM5>3.0.CO;2-1 Esposito, 2002, Spatial independent component analysis of functional MRI time-series: to what extent do results depend on the algorithm used?, Hum. Brain Mapp., 16, 146, 10.1002/hbm.10034 Arfanakis, 2000, Combining independent component analysis and correlation analysis to probe interregional connectivity in fMRI task activation datasets, Magn. Reson. Imag., 18, 921, 10.1016/S0730-725X(00)00190-9 Scarth, 1995, Detection novelty in functional imaging using fuzzy clustering, 238 Chuang, 1999, Model-free functional MRI analysis using Kohonen clustering neural network and fuzzy c-means, IEEE Trans. Med. Imag., 18, 1117, 10.1109/42.819322 Baumgartner, 2000, Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering versus principal component analysis, Magn. Reson. Imag., 18, 89, 10.1016/S0730-725X(99)00102-2 Wismüller, 2002, Cluster analysis of biomedical image time-series, Int. J. Comput. Vision, 46, 102, 10.1023/A:1013550313321 Fisher, 1996, Clustering of functional MR data, 1179 Ngan, 1999, Analysis of fMRI imaging data using self-organizing mapping with spatial connectivity, Magn. Reson. Med., 41, 939, 10.1002/(SICI)1522-2594(199905)41:5<939::AID-MRM13>3.0.CO;2-Q Chen, 2004, Clustered component analysis for functional MRI, IEEE Trans. Med. Imag., 23, 85, 10.1109/TMI.2003.819922 Chen, 2001, Contextual clustering for analysis of functional MRI data, IEEE Trans. Med. Imag., 20, 403 Buerki, 2003, Multiresolution fuzzy clustering of functional MRI data, Diagn. Neuroradiol., 45, 691, 10.1007/s00234-003-1026-9 Kohonen, 1988 Meyer-Bäse, 2003 Rose, 1992, Vector quantization by deterministic annealing, IEEE Trans. Inform. Theory, 38, 1249, 10.1109/18.144705 Georgiopoulos, 1996, Order of search in fuzzy art and fuzzy artmap: effect of the choice parameters, Neural Networks, 9, 1541, 10.1016/S0893-6080(96)00018-4 Anagnostopoulos, 2002, Category regions as new geometrical concepts in fuzzy-art and fuzzy-artmap, Neural Networks, 15, 1205, 10.1016/S0893-6080(02)00063-1 Martinetz, 1993, Neural gas network for vector quantization and its application to time-series prediction, IEEE Trans. Neural Networks, 4, 558, 10.1109/72.238311 Frisone, 1999, Self-organizing neural networks for fMRI signal detection Gath, 1989, Unsupervised optimal fuzzy clustering, IEEE Trans. Pattern Anal. Mach. Intell., 11, 773, 10.1109/34.192473 Goutte, 1999, On clustering fMRI series, Neurolmage, 9, 298, 10.1006/nimg.1998.0391 Calinski, 1974, A dendrite method for cluster analysis, Psychometrika, 3, 1 Kim, 2001, A novel validity index for determination of the optimal number of clusters., IEICE Trans. Inform. Syst., E84-D(2), 281 Woods, 1992, Rapid automated algorithm for aligning and reslicing pet images, J. Comput. Assist. Tomogr., 16, 620, 10.1097/00004728-199207000-00024