z-logo
open-access-imgOpen Access
Texture Discrimination Analysis between Tumour and Healthy Brain Tissue Using MaZda Program
Author(s) -
Adel Saleh,
R A Lerski
Publication year - 2011
Publication title -
journal of al-nahrain university-science
Language(s) - English
Resource type - Journals
eISSN - 2519-0881
pISSN - 1814-5922
DOI - 10.22401/jnus.14.4.08
Subject(s) - brain tissue , texture (cosmology) , pathology , tumour tissue , medicine , significant difference , anatomy , artificial intelligence , computer science , image (mathematics)
Four MRI images were taken from patients with proven brain tumour. Images were analysed for texture discrimination using the MaZda program. The aim of the analysis was to discriminate between the tumour tissue and the healthy tissue counterpart for each patient. Three regions of interest were taken for the tumour and another three were taken for healthy tissue. Results of these analyses have shown a significant difference between the two tissues, it has given Fisher coefficients between (138.5 and 547.5) and very low p value much lower than 0.01. It is thought to be that the effect may be mainly attributed to the possible necrotic tissue as well as the bulk of cells in the tumour which may have altered the blood perfusion influencing the MR signal.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom