DIFFUSION TENSOR IMAGING FOR BRAIN DATA SETS
| Author(s) | : | S. Athersh, T. Ramraj |
| Institution | : | PG Scholar Department of Computer Science and Engineering Coimbatore Institute of Technology Coimbatore, India |
| Published In | : | Vol. 4, Issue 4 — April 2017 |
| Page No. | : | 1153-1156 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Diffusion tensor imaging (DTI) is a technique which estimates the location, orientation and anisotropy ofthe brain’s white matter tracts. The paper analyses the difficulties faced in the classical Euclidean approach andproposes a new analysing technique known as non-Euclidean approach for identifying the tumour affected brain bycomparing with the healthy brain, the diffusion tensor image measurements are taken from the voxels. The log Euclideanmethod is used to calculate DTI measurements.
S. Athersh, T. Ramraj, “DIFFUSION TENSOR IMAGING FOR BRAIN DATA SETS”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 4, pp. 1153-1156, April 2017.








