A view-independent line-coding colormap for diffusion tensor imaging

Abstract Diffusion tensor imaging is a noninvasive technique promising for assessing the integrity of white matter tracts in the brain through the measurement of the movement of water. Because of the dimensions of the data involved, visualization of slice-by-slice images is still a challenge, and the colormaps for conveying the spatial direction of the major eigenvector of the diffusivity tensors widely adopted are ambiguous. The present paper addresses the issue of how to ameliorate this ambiguity. We propose a new line-coding color scheme, contemplating human visual perception in conjunction with the classic Hue-Saturation-Value color model. Experiments with neuroimages were also conducted to assess the potential of the proposal in the perception of spatial orientations in 2D views.

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