Abstract
This paper presents an algorithm for determining regional cerebral grey matter cortical thickness from magnetic resonance scans. In particular, the modification of a gradient-based edge detector into an iso-grey-level boundary detector for reliably determining the low-contrast grey-white matter interface is described and discussed. The reproducibility of the algorithm over 31 gyral regions is assessed using repeat scans of four subjects, and a technique for correcting the misplacement of the grey-white matter boundary is shown to significantly reduce the systematic error on the reproducibility.
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© 2005 Springer-Verlag Berlin Heidelberg
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Scott, M.L.J., Thacker, N.A. (2005). Robust Tissue Boundary Detection for Cerebral Cortical Thickness Estimation. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566489_108
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DOI: https://doi.org/10.1007/11566489_108
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29326-2
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