Abstract
A new neuroanatomic method is described which allows to map the orientation of central nervous fibers in gross histological sections. Polarised light is used to calculate the angle of inclination and direction of the fibers in each pixel. Serial fiber orientation maps (FOMs) can be aligned and 3D reconstructed. This volume allows to identify and segment the major fiber tracts. The feasible goal is a human central nervous fiber atlas.
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References
Axer H, Axer M, Krings T, et al.: Quantitative estimation of 3D fiber course in gross histological sections of the human brain using polarized light. J Neurosci Methods 105:121–131, 2001.
Hess A, Lohmann K, Gundelfinger ED, et al.: A new method for reliable and efficient reconstruction of 3-dimensional images from autoradiographs of brain sections. J Neurosci Methods 84:77–86, 1998.
Gering DT, Nabavi A, Kikinis R, et al.: An integrated visualization system for surgical planning and guidance using image fusion and interventional imaging. Procs MICCAI 99:809–819, 1999.
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© 2002 Springer-Verlag Berlin Heidelberg
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Axer, H., Jantzen, J., Gräßel, D., Leunert, M., Mürköster, M., v. Keyserlingk, D.G. (2002). Neuroanatomic Fiber Orientation Maps (FOMs) Acquisition, Segmentation, Visualisation, and Image Alignment. In: Meiler, M., Saupe, D., Kruggel, F., Handels, H., Lehmann, T.M. (eds) Bildverarbeitung für die Medizin 2002. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55983-9_1
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DOI: https://doi.org/10.1007/978-3-642-55983-9_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43225-8
Online ISBN: 978-3-642-55983-9
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