Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

An error analysis of probabilistic fibre tracking methods: average curves optimization

Ratnarajah, N. and Simmons, A. and Davydov, O. and Hojjat, A. (2009) An error analysis of probabilistic fibre tracking methods: average curves optimization. In: Medical Image Understanding and Analysis 2009, 2009-07-14 - 2009-07-15, Kingston University, London.

[img]
Preview
PDF (average_curves.pdf)
Download (583Kb) | Preview

    Abstract

    Fibre tractography using diffusion tensor imaging is a promising method for estimating the pathways of white matter tracts in the human brain. The success of fibre tracking methods ultimately depends upon the accuracy of the fibre tracking algorithms and the quality of the data. Uncertainty and its representation have an important role to play in fibre tractography methods to infer useful information from real world noisy diffusion weighted data. Probabilistic fibre tracking approaches have received considerable interest recently for resolving orientational uncertainties. In this study, an average curves approach was used to investigate the impact of SNR and tensor field geometry on the accuracy of three different types of probabilistic tracking algorithms. The accuracy was assessed using simulated data and a range of tract geometries. The average curves representations were employed to represent the optimal fibre path of probabilistic tracking curves. The results are compared with streamline tracking on both simulated and in vivo data.

    Item type: Conference or Workshop Item (Paper)
    ID code: 15124
    Keywords: error, analysis, probabilistic, fibre, tracking, curves, optimization, medical, image, 2009, Mathematics
    Subjects: Science > Mathematics
    Department: Faculty of Science > Mathematics and Statistics
    Related URLs:
    Depositing user: Mrs Irene Spencer
    Date Deposited: 03 Feb 2010 11:36
    Last modified: 06 Sep 2014 23:36
    URI: http://strathprints.strath.ac.uk/id/eprint/15124

    Actions (login required)

    View Item

    Fulltext Downloads: