Abstract
When lesions are detected on magnetic resonance images (MRI) of the brain stem, it can be difficult to determine exactly which nuclei or fibre tracts are involved. We introduce a user-friendly automatic algorithm that calculates a nonlinear transformation that matches a given anatomical atlas to MR images. A brain stem atlas was constructed from histological serial sections of a human brain stem, in which the auditory nuclei and fibre tracts were traced. The algorithm is based on matching the brain stem outline of MRI sections to the corresponding atlas sections. The estimated transformations are applied to the nuclei and fibre tracts in the atlas and are then superimposed on the MR images. The algorithm was tested on MRI patients with multiple sclerosis (MS) whose ability to judge the laterality of sounds was tested psychoacoustically. Our results indicate that there is a relationship between the type of behavioural abnormality and the location of MS lesions relative to the auditory pathway.
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© 1995 Springer-Verlag Berlin Heidelberg
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Tadmor, R., Tenny, R., Furst, M. (1995). Algorithm for automatic matching of brain stem atlas to MR images. In: Takahashi, M., Korogi, Y., Moseley, I. (eds) Proceedings of the XV Symposium Neuroradiologicum. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79434-6_16
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DOI: https://doi.org/10.1007/978-3-642-79434-6_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-79436-0
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