title: Robust tissue boundary detection for cerebral cortical thickness estimation.
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.
authors: University of Manchester, Manchester, UK. marietta.scott@manchester.ac.uk
authors: Marietta L J
authors: ML
authors: Scott
authors: Neil A
authors: NA
authors: Thacker