Share Email Print

Proceedings Paper

Computational neuroimaging: maps and tracts in the human brain
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

During the last decade, a number of remarkable magnetic resonance imaging (MRI) techniques have been developed for measuring human brain activity and structure. These MRI techniques have been accompanied by the development of signal processing, statistical and visualization methodologies. We review several examples of these methods, drawn mainly from work on the human visual pathways. We provide examples of how two methods- functional MRI (fMRI) and diffusion tensor imaging (DTI) - are used. First, we explain how fMRI enables us to identify and measure several distinct visual field maps and measure how these maps reorganize following disease or injury. Second we explain how DTI enables us to visualize neural structures within the brain's wires (white matter) and measure the patterns of connectivity in individual brains. Throughout, we identify signal processing, statistical, and visualization topics in need of further methodological development.

Paper Details

Date Published: 9 February 2006
PDF: 12 pages
Proc. SPIE 6057, Human Vision and Electronic Imaging XI, 605701 (9 February 2006); doi: 10.1117/12.674141
Show Author Affiliations
Brian A. Wandell, Stanford Univ. (United States)
Robert F Dougherty, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 6057:
Human Vision and Electronic Imaging XI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Scott J. Daly, Editor(s)

© SPIE. Terms of Use
Back to Top