Advanced search
Start date
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

Full text
Wu, Shin-Ting ; Voltoline, Raphael ; Yasuda, Clarissa Lin
Total Authors: 3
Document type: Journal article
Source: COMPUTERS & GRAPHICS-UK; v. 60, p. 66-75, NOV 2016.
Web of Science Citations: 1

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. (C) 2016 Elsevier Ltd. All rights reserved. (AU)

FAPESP's process: 13/07559-3 - BRAINN - The Brazilian Institute of Neuroscience and Neurotechnology
Grantee:Fernando Cendes
Support type: Research Grants - Research, Innovation and Dissemination Centers - RIDC