A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Consistent 4D cortical thickness measurement for longitudinal neuroimaging study
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part II
| Hi-index | 0.00 |
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.