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fMRI Using True 3D Sequences and Full Positional Registration

  • J. V. Hajnal
  • A. Oatridge
  • N. Saeed
  • G. M. Bydder
  • I. R. Young
Conference paper
Part of the Syllabus book series (SYLLABUS)

Abstract

Numerous studies of brain activation using magnetic resonance imaging (MRI) [1–5] have demonstrated spatially localised signal changes that correlate with the temporal format of the study protocol being used. In most cases the studies consist of repeated acquisition of single or multiple two-dimensional slices of a chosen region of the brain. The time course of signals from each individual voxel is then analysed to extract components that correlate with the time course of the applied stimulus [6, 7]. This procedure has high sensitivity, but is vulnerable to the presence of correlated signal changes that arise from sources other than brain activation. In a previous paper [8] we showed that head motion which correlated with the motor or visual stimuli being applied was present in all subjects that were investigated. These displacements changed the anatomical content of image voxels and resulted in signal changes that simulated activation of the brain.

Keywords

Functional Magnetic Resonance Imaging Image Interpolation Image Voxels Sinc Interpolation Localise Signal Change 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Kwong KK, Belliveau JW, Chesler DA, Goldberg IA, Weisskoff RA, Poncelet BP, Kennedy DN, Hoppel BE, Cohen MS, Turner R, Cheng H-M, Brady TJ, Rosen BR (1992) Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation. Proc Natl Acad Sci USA 89: 5675–5679PubMedCrossRefGoogle Scholar
  2. 2.
    Ogawa S, Tank DW, Menon R, Ellerman JM, Kim S-G, Merkle HH, Ugurbil K (1992) Intrinsic signal changes accompanying sensory stimulation: functional brain mapping with magnetic resonance imaging. Proc Natl Acad Sci USA 89: 5951–5955PubMedCrossRefGoogle Scholar
  3. 3.
    Bandettini PA, Wong EC, Hinks RS, Tikofsky RS, Hyde JS (1992) Time course EPI of human brain function during task activation. Magn Reson Med 25: 390–397PubMedCrossRefGoogle Scholar
  4. 4.
    Lai S, Hopkins AL, Haake EM, Li D, Wasserman BA, Buckley P, Friedman L, Meltzer H, Hedera P, Friedland R (1993) Identification of vascular structures as a major source of signal contrast in high resolution 2D and 3D functional activation imaging of the motor cortex at 1.5 T: preliminary results. Magn Reson Med 30: 387–392PubMedCrossRefGoogle Scholar
  5. 5.
    Sereno MI, Dale AM, Reppas JB, Kwong KK, Belliveau JW, Brady TJ, Rosen BR, Tootell RBH (1995) Borders of multiple visual areas in humans revealed by functional magnetic resonance imaging. Science 268: 889–893PubMedCrossRefGoogle Scholar
  6. 6.
    Bandettini PA, Jesmanowicz EC, Wong EC, Hyde JS (1993) Processing strategies for time-course data sets in functional MRI of the human brain. Magn Reson Med 30: 161–173PubMedCrossRefGoogle Scholar
  7. 7.
    Constable RT, Skudlarski P, Gore JC (1995) An ROC approach for evaluating functional brain MR imaging and post-processing protocols. Magn Reson Med 34: 57–64PubMedCrossRefGoogle Scholar
  8. 8.
    Hajnal JV, Myers R, Oatridge A, Schwieso JE, Young R, Bydder GM (1994) Artefacts due to stimulus correlated motion in functional imaging of the brain. Magn Reson Med 31: 283–291PubMedCrossRefGoogle Scholar
  9. 9.
    Hill DLG, Simmons A, Studholme C, et al (1995) Removal of stimulus correlated motion from echo planar fMRI studies. Proc Soc Magn Reson (SMR) Third Annual Meeting, Nice, 19–25 August. Berkeley SMR: 840Google Scholar
  10. 10.
    Hajnal JV, Saeed N, Oatridge A, Soar EJ, Young IR, Bydder GM (1995) A registration and interpretation procedure for subvoxel matching of serially acquired MR images. J Comput Assist Tomogr 19: 289–296PubMedCrossRefGoogle Scholar
  11. 11.
    Jain AK (1989) Fundamentals of digital image processing. Prentice Hall, Englewood CliffsGoogle Scholar
  12. 12.
    Woods RP, Cherry SR, Mazziota JC (1992) Rapid automated algorithm for aligning and reslicing PET images. J Comput Assist Tomogr 16: 620–633PubMedCrossRefGoogle Scholar
  13. 13.
    Jiang A, Kennedy D, Woods R, Baker J, Tootell R, Kwong KK, Weisskoff R, Belliveau J, Brady T, Rosen B (1994) Motion detection and correction in functional MRI. Proc Soc Magn Reson, San Francisco, August. Berkeley SMR 1995: 351Google Scholar
  14. 14.
    Risinger R, Hertz-Pannier L, Schmidt M, Maisog JM, Cuenod CA, Le Bihan D (1995) Evaluation of image registration in functional brain MRI. Proc Soc Magn Reson, San Francisco, August. Berkeley SMR: 649Google Scholar
  15. 15.
    Hajnal JV, Saeed N, Oatridge A, Williams EJ, Young IR, Bydder GM (1995) Detection of subtle brain changes using subvoxel registration and subtraction of serial MRI. J Comput Assist Tomogr 19: 677–691PubMedCrossRefGoogle Scholar

Copyright information

© Springer-Verlag Italia, Milano 1996

Authors and Affiliations

  • J. V. Hajnal
    • 1
  • A. Oatridge
    • 1
  • N. Saeed
    • 1
  • G. M. Bydder
    • 1
  • I. R. Young
    • 1
  1. 1.Robert Steiner Magnetic Resonance UnitHammersmith HospitalLondonUK

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