Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

PASTA: Pointwise assessment of streamline tractography attributes

Jones, Derek K., Travis, Adam R., Eden, Greg, Pierpaoli, Carlo and Basser, Peter J. 2005. PASTA: Pointwise assessment of streamline tractography attributes. Magnetic Resonance in Medicine 53 (6) , pp. 1462-1467. 10.1002/mrm.20484

Full text not available from this repository.

Abstract

Diffusion tensor MRI tractography aims to reconstruct noninvasively the 3D trajectories of white matter fasciculi within the brain, providing neuroscientists and clinicians with a potentially useful tool for mapping brain architecture. While this technique is widely used to visualize white matter pathways, the associated uncertainty in fiber orientation and artifacts have, to date, not been visualized in conjunction with the trajectory data. In this work, the bootstrap method was used to determine the distributions of diffusion indices such as trace and anisotropy, together with the uncertainty in fiber orientation. A novel visualization scheme was developed to encode this information at each point along reconstructed trajectories. By integrating these schemes into a graphical user interface, a new tool which we call PASTA (Pointwise Assessment of Streamline Tractography Attributes) was created to facilitate identification of artifacts in tractography that would otherwise go undetected.

Item Type: Article
Status: Published
Schools: Psychology
Uncontrolled Keywords: DT-MRI; artifacts; distribution; visualization; hyperstreamline
Publisher: Wiley
ISSN: 0740-3194
Last Modified: 04 Jun 2017 04:07
URI: http://orca.cf.ac.uk/id/eprint/33020

Citation Data

Cited 64 times in Google Scholar. View in Google Scholar

Cited 70 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item