Detail publikace

Tracking of axonal bundles in diffusion MRI brain images

Originální název

Tracking of axonal bundles in diffusion MRI brain images

Anglický název

Tracking of axonal bundles in diffusion MRI brain images

Jazyk

en

Originální abstrakt

The aim of this work is to design tracking algorithm which will be able to track brain axonal bundles in diffusion weighted MRI data. Estimation of anisotropic diffusion profile inside voxels was performed by diffusion tensor imaging model (DTI). Tracing is based on the 4th order Runge-Kutta method. Algorithm is implemented in the MATLAB computing environment and is tested on real data biological phantom.

Anglický abstrakt

The aim of this work is to design tracking algorithm which will be able to track brain axonal bundles in diffusion weighted MRI data. Estimation of anisotropic diffusion profile inside voxels was performed by diffusion tensor imaging model (DTI). Tracing is based on the 4th order Runge-Kutta method. Algorithm is implemented in the MATLAB computing environment and is tested on real data biological phantom.

Dokumenty

BibTex


@inproceedings{BUT118242,
  author="Zuzana {Piskořová} and René {Labounek}",
  title="Tracking of axonal bundles in diffusion MRI brain images",
  annote="The aim of this work is to design tracking algorithm which will be able to track brain axonal bundles in diffusion weighted MRI data. Estimation of anisotropic diffusion profile inside voxels was performed by diffusion tensor imaging model (DTI). Tracing is based on the 4th order Runge-Kutta method. Algorithm is implemented in the MATLAB computing environment and is tested on real data biological phantom.",
  address="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015",
  chapter="118242",
  howpublished="online",
  institution="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  year="2015",
  month="april",
  pages="137--139",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  type="conference paper"
}