Abstract
Correspondence of cortical structures is difficult to establish in automatic voxel-based non-linear registration of human brains based solely on gradient magnitude images. Experiments with a set of 9 real MRI data volumes demonstrates that the inclusion of 1) L vv-based features or 2) automatically extracted sulci significantly reduce overlap errors for gyri and sulci on the cortex. Mismatch between gyri can be addressed using manually labelled sulci.
We gratefully acknowledge post-doctoral funding from the Human Frontier Science Project Organization (DLC). We also acknowledge Positron Imaging Laboratory of the Montreal Neurological Institute for providing the stereotaxic MRI model and also the MR division of the Department of Radiology for providing the individual MR volumetric data used to test the algorithm. Parts of this project was funded by Medical Research Council (MRC SP-30) and an ICBM grant.
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Collins, D.L., Le Goualher, G., Venugopal, R., Caramanos, A., Evans, A.C., Barillot, C. (1996). Cortical constraints for non-linear cortical registration. In: Höhne, K.H., Kikinis, R. (eds) Visualization in Biomedical Computing. VBC 1996. Lecture Notes in Computer Science, vol 1131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0046968
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