Abstract
Functional magnetic resonance imaging (fMRI) has become an exceedingly popular technique for studies of human brain activity. Typically, fMRI is performed with >3-mm sampling, so that the imaging data can be regarded as two-dimensional samples that roughly average through the typically 1.5—4-mm thickness of cerebral cortex. The use of higher spatial resolutions, <1.5-mm sampling, complicates the use of fMRI, as one must now consider activity variations within the depth of the brain. We present a set of surface-based methods to exploit the use of high-resolution fMRI for depth analysis. These methods utilize white-matter segmentations coupled with deformable-surface algorithms to create a smooth surface representation at the gray-white interface. These surfaces provide vertex positions and surface normals, vector references for depth calculations. That information enables averaging schemes that can increase contrast-to-noise ratio, as well as permitting the direct analysis of depth profiles of functional activity in the human brain.
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References
Bajaj, C.L., Xu, G.: Anisotropic diffusion of surfaces and functions on surfaces. ACM Trans. Graph. 22, 4–32 (2003)
Braitenberg, V., Schutz, A.: Anatomy of Cortex. Springer, Berlin (1991)
Desbrun, M., Meyer, M., Schröder, P., Barr, A.: Discrete differential-geometry operator for triangulated 2-manifolds. In: Proceedings of Visual Mathematics 2002, Berlin, Germany (2002)
Fischl, B., Dale, A.M.: Measuring the thickness of the human cerebral cortex from magnetic resonance images. Proc. Natl. Acad. Sci. USA 97, 11050–11055 (2000)
Glover, G.H.: Simple analytic spiral K-space algorithm. Magn. Reson. Med. 42, 412–415 (1999)
Glover, G.H., Lai, S.: Self-navigated spiral fMRI: Interleaved versus single-shot. Magn. Reson. Med. 39, 361–368 (1998)
Glover, G.H., Law, C.S.: Spiral-in/out BOLD fMRI for increased SNR and reduced susceptibility artifacts. Magn. Reson. Med. 46, 515–522 (2001)
Moon, C.H., Fukuda, M., Park, S.H., Kim, S.G.: Neural interpretation of blood oxygenation level-dependent fMRI maps at submillimeter columnar resolution. J. Neurosci. 27, 6892–6902 (2007)
Nestares, O., Heeger, D.J.: Robust multiresolution alignment of MRI brain volumes. Magn. Reson. Med. 43, 705–715 (2000)
Ogawa, S., Menon, R.S., Kim, S.G., Ugurbil, K.: On the characteristics of functional magnetic resonance imaging of the brain. Annu. Rev. Biophys. Biomol. Struct. 27, 447–474 (1998)
Ress, D., Glover, G.H., Liu, J., Wandell, B.: Laminar profiles of functional activity in the human brain. NeuroImage 34, 74–84 (2007)
Saad, Y.: Iterative Methods for Sparse Linear Systems. Society for Industrial and Applied Mathematics. SIAM, Chicago (2002)
Schneider, K.A., Kastner, S.: Visual responses of the human superior colliculus: a high-resolution functional magnetic resonance imaging study. J. Neurophysiol. 94, 2491–2503 (2005)
Schneider, K.A., Richter, M.C., Kastner, S.: Retinotopic organization and functional subdivisions of the human lateral geniculate nucleus: a high-resolution functional magnetic resonance imaging study. J. Neurosci. 24, 8975–8985 (2004)
Smith, S.M., Jenkinson, M., Woolrich, M.W., Beckmann, C.F., Behrens, T.E., Johansen-Berg, H., Bannister, P.R., De Luca, M., Drobnjak, I., Flitney, D.E., Niazy, R.K., Saunders, J., Vickers, J., Zhang, Y., De Stefano, N., Brady, J.M., Matthews, P.M.: Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 23(suppl.1), S208–S219 (2004)
Xu, G., Pan, Q., Bajaj, C.L.: Discrete surface modeling using partial differential equations. Computer Aided Geometric Design 23(2), 125–145 (2006)
Yushkevich, P.A., Piven, J., Hazlett, H.C., Smith, R.G., Ho, S., Gee, J.C., Gerig, G.: User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability. NeuroImage 31, 1116–1128 (2006)
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Ress, D., Dhandapani, S., Katyal, S., Greene, C., Bajaj, C. (2010). Surface-Based Imaging Methods for High-Resolution Functional Magnetic Resonance Imaging. In: Barneva, R.P., Brimkov, V.E., Hauptman, H.A., Natal Jorge, R.M., Tavares, J.M.R.S. (eds) Computational Modeling of Objects Represented in Images. CompIMAGE 2010. Lecture Notes in Computer Science, vol 6026. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12712-0_12
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DOI: https://doi.org/10.1007/978-3-642-12712-0_12
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