Case study reconstruction, visualization and quantification of neuronal fiber pathways

• Published in: Proceedings of the conference on Visualization '01 pp. 453 - 456
• Main Authors: Ding, Zhaohua, Gore, John C., Anderson, Adam W.
• Format: Conference Proceeding
• Language: English
• Published: Washington, DC, USA IEEE Computer Society 21.10.2001
• Series: ACM Conferences
• Subjects: Applied computing > Life and medical sciences > Computational biology; Applied computing > Life and medical sciences > Genetics; Applied computing > Life and medical sciences > Systems biology; Computing methodologies > Artificial intelligence > Computer vision > Computer vision problems > Reconstruction; Computing methodologies > Modeling and simulation > Simulation types and techniques > Visual analytics; diffusion tensor imaging; neuronal fiber pathway
• ISBN: 9780780372009; 078037200X
• ISSN: 1070-2385
• DOI: 10.5555/601671.601748

It is of significant interest for neurological studies to determine and visualize neuronal fiber pathways in the human brain. By exploiting the capability of diffusion tensor magnetic resonance imaging to detect local orientations of neuronal fibers, we have developed a system of algorithms to reconstruct, visualize and quantify neuronal fiber pathways in vivo. Illustrative results show that the system is a promising tool for visual analysis of fiber connectivity and quantitative studies of neuronal fibers.