DIFFUSION TENSOR IMAGING FOR BRAIN DATA SETS

Authors

  • S. Athersh PG Scholar Department of Computer Science and Engineering Coimbatore Institute of Technology Coimbatore, India
  • T. Ramraj Assistant Professor,Department of Computer Science and Engineering Coimbatore Institute of Technology Coimbatore, India

Keywords:

DTI, Voxels, non-Euclidean, log-Euclidean, Covariance Matrix.

Abstract

Diffusion tensor imaging (DTI) is a technique which estimates the location, orientation and anisotropy of
the brain’s white matter tracts. The paper analyses the difficulties faced in the classical Euclidean approach and
proposes a new analysing technique known as non-Euclidean approach for identifying the tumour affected brain by
comparing with the healthy brain, the diffusion tensor image measurements are taken from the voxels. The log Euclidean
method is used to calculate DTI measurements.

Published

2017-04-25

How to Cite

DIFFUSION TENSOR IMAGING FOR BRAIN DATA SETS. (2017). International Journal of Advance Engineering and Research Development (IJAERD), 4(4), 1153-1156. https://ijaerd.org/index.php/IJAERD/article/view/2852

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