9 September 1994 Automated 3D nonlinear deformation procedure for determination of gross morphometric variability in human brain
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Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185178
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States
Abstract
We describe an automated method to register MRI volumetric datasets to a digital human brain model. The technique employs 3D non-linear warping based on the estimation of local deformation fields using cross-correlation of invariant intensity features derived from image data. Results of the non-linear registration on a simple phantom, a complex brain phantom and real MRI data are presented. Anatomical variability is expressed with respect to the Talairach-like standardized brain-based coordinate system of the model. We show that the automated non-linear registration reduces the inter-subject variability of homologous points in standardized space by 15% over linear registration methods. A 3D variability map is shown.
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D. Louis Collins, D. Louis Collins, Terence M. Peters, Terence M. Peters, Alan C. Evans, Alan C. Evans, } "Automated 3D nonlinear deformation procedure for determination of gross morphometric variability in human brain", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); doi: 10.1117/12.185178; https://doi.org/10.1117/12.185178
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