Diffusion characteristic analysis in human visual cortex
Medical Imaging Physics and Engineering(2013)
Abstract
Since the birth of diffusion tensor imaging (DTI), diffusion characteristic has become a powerful tool to probe the internal structure of the subject. The diffusion anisotropy indices (DAIs) are parameters derived from DTI data which describe the morphological characteristics of diffusion tensor within specific range. It is of great importance to select a proper DAI for the analysis and interpretation of DTI data. In this work, the diffusion characteristic in human visual cortex is analysed with three DAIs: the commonly used fractional anisotropy (FA), ellipsoidal geometric ratio (EAR) proposed lately and ellipsoidal geometric ratio (EGR) that we proposed. The retinotopic mapping and surface-based analysis methods were applied to increase the power and precision studying longitudinal DAI changes in different visual fields (V1, V2, V3 et al). All three DAIs show the similar trend in visual fields, however, EGR and EAR both have higher magnitude and better contrast than FA. In addition, since EGR makes full use of the ellipsoidal volume information, its application result shows a certain improvement compared with EAR.
MoreTranslated text
Key words
biodiffusion,biomedical mri,medical image processing,neurophysiology,vision,diffusion anisotropy indices,diffusion characteristic analysis,diffusion tensor imaging,ellipsoidal geometric ratio,ellipsoidal volume information,fractional anisotropy,human visual cortex,internal subject structure,morphological characteristics,retinotopic mapping,surface-based analysis methods,visual fields,dai,diffusion,retinotopic map,visual cortex
AI Read Science
Must-Reading Tree
Example
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined