Medical Image Analysis
Volume 15, Issue 1 , Pages 35-44 , February 2011

Independent component analysis using prior information for signal detection in a functional imaging system of the retina

  • E. Simon Barriga

      Affiliations

    • University of New Mexico, Electrical and Computer Engineering Department, Albuquerque, NM, United States
    • VisionQuest Biomedical., Albuquerque, NM, United States
    • Corresponding Author InformationCorresponding author at: University of New Mexico, Electrical and Computer Engineering Department, Albuquerque, NM, United States. Tel.: +1 505 507 2183; fax: +1 505 277 1439.
  • ,
  • Marios Pattichis

      Affiliations

    • University of New Mexico, Electrical and Computer Engineering Department, Albuquerque, NM, United States
  • ,
  • Dan Ts’o

      Affiliations

    • SUNY Upstate Medical University, Syracuse, NY, United States
  • ,
  • Michael Abramoff

      Affiliations

    • University of Iowa, Department of Ophthalmology and Visual Sciences, Iowa City, IA, United States
  • ,
  • Randy Kardon

      Affiliations

    • University of Iowa, Department of Ophthalmology and Visual Sciences, Iowa City, IA, United States
  • ,
  • Young Kwon

      Affiliations

    • University of Iowa, Department of Ophthalmology and Visual Sciences, Iowa City, IA, United States
  • ,
  • Peter Soliz

      Affiliations

    • VisionQuest Biomedical., Albuquerque, NM, United States
    • University of Iowa, Department of Ophthalmology and Visual Sciences, Iowa City, IA, United States

Received 27 December 2008 ,Revised 9 May 2010 ,Accepted 21 June 2010.

References 

  1. Abramoff MD, Kwon YH, Ts’o D, Soliz P, Zimmerman B, Pokorny J, et al. Visual stimulus induced changes in human near-infrared fundus reflectance. Investigative Ophthalmology and Visual Sciences (IOVS). 2006;47:715–721
  2. Barriga, E.S., Ts’o, D.Y., Pattichis, M.S., Soliz, P., 2003a. Independent component analysis for processing of retinal responses to patterned stimuli. In: Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE, vol. 1, pp. 1006–1009.
  3. Barriga, E.S., Truitt, P.W., Pattichis, M.S., Ts’o, D., Kwon, R.H., Kardon, R.H., Soliz, P., 2003b. Blind source separation in retinal videos. In: Medical Imaging 2003: Image Processing. Proceedings of the SPIE 5032, pp. 1591–1601.
  4. Barriga, E.S., Pattichis, M.S., Ts’o, D.Y., Kwon, Y., Kardon, R., Abramoff, M.D., Soliz, P., 2006. Detection of low amplitude, in-vivo intrinsic signals from an optical imager of retinal function. In: Ophthalmic Technologies XVI. Proceedings of the SPIE 6138, pp. 66–77.
  5. Barriga ES, Pattichis MP, Ts’o DY, Abramoff M, Kardon R, Kwon Y, et al. Spatiotemporal independent component analysis for the detection of functional responses in cat retinal images. IEEE Transactions on Medical Imaging. 2007;26:1035–1045
  6. Bell AJ, Sejnowski TJ. An information-maximization approach to blind separation and blind deconvolution. Neural Computation. 1995;7:1003–1034
  7. Calhoun VD, Adali T, Stevens MC, Kiehl KA, Pekar JJ. Semi-blind ICA of fMRI: a method for utilizing hypothesis-derived time courses in a spatial ICA analysis. Neuroimage. 2005;25:527–538
  8. Calhoun VD, Adali T. Unmixing fMRI with independent component analysis. IEEE Engineering in Medicine and Biology. 2006;25:79–90
  9. Cardoso J. Infomax and maximum likelihood for blind source separation. IEEE Letters on Signal Processing. 1997;4(4):112–114
  10. Choi, S., Cichocki, A., Amari, S., 1999. Fetal electrocardiogram data analysis via flexible independent component analysis. Presented at the 4-th Asia-Pacific Conference on Medical & Biological Engineering (APCMBE’99), Seoul, Korea.
  11. Grinvald A, Lieke E, Frostig RD, Gilbert CD, Wiesel TN. Functional architecture of cortex revealed by optical imaging of intrinsic signals. Letters to Nature. 1986;324:361–364
  12. Hanazono G, Tsunoda K, Shinoda K, Tsubota K, Miyake Y, Tanifuji M. Intrinsic signal imaging in macaque retina reveals different types of flash-induced light reflectance changes of different origins. Investigative Ophthalmology and Visual Science (IOVS). 2007;48:2903–2912
  13. Hare WA, Ton H. Effects of APB, PDA, and TTX on ERG responses recorded using both multifocal and conventional methods in monkey. Documenta Ophthalmologica. 2002;105:189–222
  14. Hill DK, Keynes RD. Opacity changes in stimulated nerve. Journal of Physiology. 1949;108:278–281
  15. Hofmann KP, Uhl R, Hoffmann W, Kreutz W. Biophysics of Structure and Mechanism. 1976;2:61–77
  16. Hyvarinen A, Karhunen J, Oja E. Independent Component Analysis. New York: John Wiley; 2001;
  17. Jung T-P, Humpries C, Lee T-W, McKeown MJ, Iragui V, Makeig S, et al. Removing electroencephalographic artifacts by blind source separation. Psychophysiology. 2000;37:163–178
  18. Juslin, Anu, Reilhac, Anthonin, Magadan-Mendez, Margarita, Alban, Edisson, Tohka, Jussi, Ruotsalainen, Ulla, 2005. Assessment of Separation of Functional Components with ICA from Dynamic Cardiac Perfusion PET Phantom Images for Volume Extraction with Deformable Surface Models. FIMH 2005, LNCS 3504, pp. 338–347.
  19. Kahlert M, Pepperberg DR, Hofmann KP. Effect of bleached rhodopsin on signal amplification in rod visual receptors. Nature. 1990;345:537–539
  20. Kardon, R., Kwon, Y.H., Truitt, P.W., Nemeth, S.C., Ts’o, D., Soliz, P., 2002. Optical imaging device of retinal function. In: Ophthalmic Technologies XII. Proceedings of the SPIE, vol. 4611, pp. 230–238.
  21. Liao Rui, Krolik JL, McKeown MJ. An information-theoretic criterion for intrasubject alignment of FMRI time series: motion corrected independent component analysis. IEEE Transactions on Medical Imaging. 2005;24(1):29–44
  22. Makeig S, Bell AJ, Jung T-P, Sejnowski TJ. Independent component analysis of electroencephalographic data. In: Advances in Neural Information Processing Systems. Cambridge, MA: MIT Press; 1996;p. 145–151
  23. McKeown MJ, Sejnowski TJ. Independent component analysis of fMRI data: examining the assumptions. Human Brain Mapping. 1998;5:368–372
  24. Milles Julien, van der Geest Rob J, Jerosch-Herold Michael, Reiber Johan HC, Lelieveldt Boudewijn PF. Fully automated motion correction in first-pass myocardial perfusion MR image sequences. IEEE Transactions on Medical Imaging. 2008;27(12):1812–1836
  25. Nelson DA, Krupsky S, Pollack A, Aloni E, Belkin M, Vanzetta I, et al. Special report: noninvasive multi-parameter functional optical imaging of the eye. Ophthalmic Surgery, Lasers & Imaging. 2005;36:57–66
  26. Park S-J, An K-H, Lee M. Saliency map model with adaptive masking based on independent component analysis. Neurocomputing. 2002;49:417–422
  27. Schallek JB, Kardon RH, Kwon YH, Abramoff MD, Soliz P, Ts’o D. Stimulus-evoked intrinsic optical signals in the retina: pharmacological dissection reveals outer retinal origins. Investigative Ophthalmology and Visual Science. 2009;50:4865–4872
  28. Schallek JB, Li H, Kardon RH, Kwon YH, Abramoff MD, Soliz P, et al. Stimulus-evoked intrinsic optical signals in the retina: spatial and temporal characteristics. Investigative Ophthalmology and Visual Science. 2009;50:4873–4880
  29. Schiessl I, Stetter M, Mayhew JEW, McLoughlin N, Lund JS, Obermayer K. Blind signal separation from optical imaging recordings with extended spatial decorrelation. IEEE Transactions on Biomedical Engineering. 2000;47:573–577
  30. Slaughter M, Miller R. An excitatory amino acid antagonist blocks cone input to sign-conserving second-order retinal neurons. Science. 1983;219:1230–1232
  31. Stepnoski RA, LaPorta A, Raccuia-Behling F, Blonder GE, Slusher RE, Kleinfeld D. Noninvasive detection of changes in membrane potential in cultured neurons by light scattering. Proceedings of the National Academy of Sciences of the United States of America. 1991;88:9382–9386
  32. Stetter M, Schiessl I, Otto T, Sengpiel F, Hübener M, Bonhoeffer T, et al. Principal component analysis and blind separation of sources for optical imaging of intrinsic signals. Neuroimage. 2000;11:482–490
  33. Ts’o DY, Li H, Kwon YH, Truitt P, Soliz P. Intrinsic signal optical imaging of retinal responses to patterned stimuli. Investigative Ophthalmology and Visual Sciences (IOVS). 2003;44:2709
  34. Ts’o DY, Zarella M, Schallek J, Kwon Y, Kardon R, Soliz P. The origins of stimulus dependent intrinsic optical signals of the retina. Journal of Vision. 2004;4:39
  35. Ts’o, D.Y., Schallek, J.B., Kardon, R., Kwon, Y., Abramoff, M., Soliz, P., 2009. Hemodynamic components contribute to intrinsic signals of the retina and optic disc. Investigative Ophthalmology and Visual Science 50 (E-Abstract 4322).
  36. Tsunoda K, Oguchi Y, Hanazono G, Tanifuji M. Mapping cone- and rod-induced retinal responsiveness in macaque retina by optical imaging. Investigative Ophthalmology and Visual Science (IOVS). 2004;45:3820–3826
  37. Villringer A, Chance B. Noninvasive optical spectroscopy and imaging of human brain function. Trends in Neuroscience. 1997;435–442
  38. Yao XC, George JS. Dynamic neuroimaging of retinal light responses using fast intrinsic optical signals. Neuroimage. 2006;33:898–906

PII: S1361-8415(10)00072-1

doi: 10.1016/j.media.2010.06.009

Medical Image Analysis
Volume 15, Issue 1 , Pages 35-44 , February 2011