Signal enhancement in polarized light imaging by means of independent component analysis

NeuroImage

Volumn 49, Issue 2, 2010, Pages 1241-1248

  Dammers, Jürgen ^a   Axer, Markus ^a   Gräßel, David ^a   Palm, Christoph ^a,e   Zilles, Karl ^a,b,c   Amunts, Katrin ^a,c,d   Pietrzyk, Uwe ^a,e  

^a FORSCHUNGSZENTRUM JÜLICH   (Germany)

^b HEINRICH HEINE UNIVERSITY   (Germany)

^c Section JARA FIT   (Germany)

^d RWTH AACHEN UNIVERSITY   (Germany)

^e UNIVERSITY OF WUPPERTAL   (Germany)

Author keywords

human brain mapping; ICA; independent component analysis; PLI; Polarized light imaging

Indexed keywords

ARTICLE; ARTIFACT; AUTOPSY; BIREFRINGENCE; BRAIN REGION; CAMERA; CONTROLLED STUDY; DECOMPOSITION; DIGITALIZATION; GRAY MATTER; HUMAN; HUMAN TISSUE; IMAGE PROCESSING; INDEPENDENT COMPONENT ANALYSIS; LIGHT SCATTERING; MATHEMATICAL ANALYSIS; MYELIN SHEATH; NERVE FIBER; NOISE MEASUREMENT; POLARIMETER; POLARIMETRY; POLARIZATION; PRIORITY JOURNAL; SIGNAL PROCESSING; WHITE MATTER;

ARTIFACTS; BRAIN; CALIBRATION; DUST; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; LIGHT; MYELIN SHEATH; NERVE FIBERS, MYELINATED; NERVE FIBERS, UNMYELINATED; OPTICS AND PHOTONICS;

EID: 70749146111     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.08.059     Document Type: Article

References (25)

1. Axer H., Axer M., Krings T., and Keyserlingk D.G. Quantitative estimation of 3-D fiber course in gross histological sections of the human brain using polarized light. J. Neurosci. Methods 105 (2001) 121-131
2. Axer, M., Dammers, J., Gräzel, D., Amunts, K., Pietrzyk, U., Zilles, K., 2008. Nerve fiber mapping in histological sections of the human brain by means of polarized light. 14th Annual meeting on Human Brain Mapping in Melbourne, Australia. Neuroimage, Vol. 41 Supplement 1.
3. Beckmann C.F., and Smith S. Tensorial extensions of independent component analysis for multisubject FMRI analysis. NeuroImage 25 (2005) 294-311
4. Beckmann C.F., and Smith S.M. Probabilistic independent component analysis for functional magnetic resonance imaging. IEEE Trans. Med. Imag. 23 (2004) 137-152
5. Bell A.J., and Sejnowski T.J. An information-maximization approach to blind separation and blind deconvolution. Neural Comput. 7 (1995) 1129-1159
6. Bell A.J., and Sejnowski T.J. The "independent components" of natural scenes are edge filters. Vis. Res. 37 (1997) 3327-3338
7. Calhoun V.D., Adali T., Pearlson G.D., and Pekar J.J. Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms. Hum. Brain Mapp. 13 (2001) 43-53
8. Chen Y., and Sugiki D. Segmentation of MR images using independent component analysis. In: Gabrys B., Howlett R.J., and Jain L.C. (Eds). Knowledge-Based Intelligent Information and Engineering Systems. Springer (2006) 63-69
9. Comon P. Independent component analysis-a new concept?. Signal Process. 36 (1994) 287-314
10. Dammers J., Schiek M., Boers F., Silex C., Zvyagintsev M., Pietrzyk U., and Mathiak K. Integration of amplitude and phase statistics for complete artifact removal in independent components of neuromagnetic recordings. IEEE Trans.Biomed. Eng. 55 (2008) 2353-2362
11. Dammers, J., Axer, M., Gräßel, D., Zilles, K., Amunts, K., Pietrzyk, U., 2008b. Improving results from polarized light imaging by means of independent component analysis. 14th Annual meeting on Human Brain Mapping in Melbourne, Australia. Neuroimage, Vol. 41 Supplement 1.
12. Delorme A., Sejnowski T., and Makeig S. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis. NeuroImage 34 (2007) 1443-1449
13. Esposito F., Scarabino T., Hyvarinen A., Himberg J., Formisano E., Comani S., Tedeschi G., Goebel R., Seifritz E., and Di Salle F. Independent component analysis of fMRI group studies by self-organizing clustering. NeuroImage 25 (2005) 193-205
14. Gräßel, D., Axer, M., Palm, C., Dammers, J., Amunts, K., Pietrzyk, U., Zilles, K., 2009. Visualization of fiber tracts in the postmortem human brain by means of polarized light. 15th Annual meeting on Human Brain Mapping in San Francisco, USA. Neuroimage, Book of Abstract.
15. Hateren J.H.V., and Ruderman D.L. Independent component analysis of natural image sequences yields spatio-temporal filters similar to simple cells in primary visual cortex. Proc. R. Soc. B: Biol. Sci. 265 (1998) 2315-2320
16. Hoyer P.O., and Hyvärinen A. Independent component analysis applied to feature extraction from colour and stereo images. Network 11 (2000) 191-210
17. Hyvärinen A., and Hoyer P. Emergence of phase- and shift-invariant features by decomposition of natural images into independent feature subspaces. Neural Comput. 12 (2000) 1705-1720
18. Hyvärinen A., Karhunen J., and Oja E. Independent component analysis (2001), John Wiley and Sons
19. Jones R.C. A new calculus for the treatment of optical systems. J. Opt. Soc. Am. 31 (1941) 500-503
20. Jung T.P., Makeig S., Humphries C., Lee T.W., McKeown M.J., Iragui V., and Sejnowski T.J. Removing electroencephalographic artifacts by blind source separation. Psychophysiology 37 (2000) 163-178
21. Larsen L., Griffin L.D., Grässel D., Witte O.W., and Axer H. Polarized light imaging of white matter architecture. Microsc. Res. Tech. 70 (2007) 851-863
22. Lee T., Girolami M., and Sejnowski T.J. Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources. Neural Comput. 11 (1999) 417-441
23. McKeown M.J., Makeig S., Brown G.G., Jung T.P., Kindermann S.S., Bell A.J., and Sejnowski T.J. Analysis of fMRI data by blind separation into independent spatial components. Hum. Brain Mapp. 6 (1998) 160-188
24. Sander T.H., Wübbeler G., Lueschow A., Curio G., and Trahms L. Cardiac artifact subspace identification and elimination in cognitive MEG data using time-delayed decorrelation. IEEE Trans. Biomed. Eng. 49 (2002) 345-354
25. Stewart Barlett M. Information maximization in face processing. Neurocomputing 70 (2007) 2204-2217