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- W2037947243 abstract "Accurate cortical thickness estimation is important for the study of many neurodegenerative diseases, including Alzheimer's disease (AD). We propose a novel voxel based method which is both accurate and computationally efficient. The novelty of the approach is to integrate the partial volume information when computing the thickness using the Laplacian definition of thickness. MR images were classified into gray matter (GM), white matter (WM) and cerebro-spinal fluid (CSF) in their native space by using an expectation maximisation (EM) approach. Fractional content of GM for the voxels along tissue interfaces was computed by modeling mixture of tissues and performing a maximum a posteriori classification. The cortical thickness was computed using the Laplacian approach which divides the cortex into a set of equipotential sublayers. Normalised gradient of the Laplace solution provides non intersecting streamlines between the WM and CSF. The length of these streamlines defines the thickness. A subvoxel estimate of the location of the boundary was obtained through ray-casting using both partial volume estimation and the direction of the streamlines. This estimate was used to initialise the boundary conditions when computing the length of the streamlines, measured using a set of partial differential equations. Finally, regional statistical analysis was performed using the automated anatomical labelling atlas after extraction and smoothing of the cortical thickness map projected along the WM/GM boundary. The technique was applied to a database of 3D MPRAGE MRI (Table 1). Regional analysis (Table 2.) showed large differences in the hippocampus, parahippocampus and in the temporal and frontal lobes between normal controls, and Alzheimer's disease patient. Examples of the thickness map are presented Figure 1. Demographics Cortical atrophy between NC-MCI and NC-AD groups. Marching cube rendering of the thickness map showing progression of atrophy from NC (left), MCI (middle) to AD right. We have presented a novel technique for cortical thickness estimation and showed large differences between NC and AD patients, in regions consistent with results previously published in the literature." @default.
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- W2037947243 date "2008-07-01" @default.
- W2037947243 modified "2023-10-06" @default.
- W2037947243 title "IC-P2-079: New cortical thickness estimation method for atrophy characterization of Alzheimer's disease patients" @default.
- W2037947243 doi "https://doi.org/10.1016/j.jalz.2008.05.072" @default.
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