Abstract
We present a completely automated procedure for measuring left and right hemispheric asymmetry in cerebral grey and white matter volumes from MR images using a chain of state-of-the-art image analysis algorithms. After bias correction and tissue classification, left and right hemispheres are separated by non-rigid registration to a template image in which both hemispheres have been carefully segmented. Volume renderings of each hemisphere separately demonstrate the high quality of the resulting segmentations. Because all steps in the procedure are completely automated and do not require user specified parameters, the results are highly reproducible and consistent. We present quantitative results obtained from a database of MR images of 40 schizophrenic patients and 31 normal controls.
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Maes, F., Van Leemput, K., DeLisi, L.E., Vandermeulen, D., Suetens, P. (1999). Quantification of Cerebral Grey and White Matter Asymmetry from MRI. In: Taylor, C., Colchester, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI’99. MICCAI 1999. Lecture Notes in Computer Science, vol 1679. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10704282_38
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DOI: https://doi.org/10.1007/10704282_38
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66503-8
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