About this item:

211 Views | 441 Downloads

Author Notes:

Corresponding Authors: Wu Li and Xiaoping Hu Email: wu.li@ia.ac.cn, xhu@bme.gatech.edu

Conceived and designed the experiments: WL XH.

Performed the experiments: WL.

Analyzed the data: WL. Contributed reagents/materials/analysis tools: WL XH.

Wrote the paper: WL XH.

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript

The authors have declared that no competing interests exist.

Subjects:

Research Funding:

This work was kindly supported by the National Institutes of Health (PO1AG026423, P50MH058922) and the National Natural Science Foundation of China (30970769, 81171314).

Keywords:

  • Science & Technology
  • Multidisciplinary Sciences
  • Science & Technology - Other Topics
  • MULTIDISCIPLINARY SCIENCES
  • WHITE-MATTER
  • HUMAN BRAIN
  • TRACTOGRAPHY
  • TRACKING
  • SEGMENTATION
  • CONNECTIVITY
  • DEFLECTION
  • CORTEX

Robust Tract Skeleton Extraction of Cingulum Based on Active Contour Model from Diffusion Tensor MR Imaging

Tools:

Journal Title:

PLoS ONE

Volume:

Volume 8, Number 2

Publisher:

, Pages e56113-e56113

Type of Work:

Article | Final Publisher PDF

Abstract:

Cingulum is widely studied in healthy and psychiatric subjects. For cingulum analysis from diffusion tensor MR imaging, tractography and tract of interest method have been adopted for tract-based analysis. Because tractography performs fiber tracking according to local diffusion measures, they can be sensitive to noise and tracking errors can be accumulated along the fiber. For more accurate localization of cingulum, we attempt to define it by skeleton extraction using the tensors' information throughout the tract of cingulum simultaneously, which is quite different from the idea of tractography. In this study, we introduce an approach to extract the skeleton of cingulum using active contour model, which allows us to optimize the location of cingulum in a global sense based on the diffusion measurements along the entire tract and contour regularity. Validation of this method on synthetic and experimental data proved that our approach is able to reduce the influence of noise and partial volume effect, and extract the skeleton of cingulum robustly and reliably. Our proposed method provides an approach to localize cingulum robustly, which is a very important feature for tract-based analysis and can be of important practical utility.

Copyright information:

© 2013 Li, Hu.

This is an Open Access work distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/).
Export to EndNote