MRI Texture Analysis Reveals Bulbar Abnormalities in Friedreich Ataxia.

ABSTRACT:

Background and purpose

Texture analysis is an image processing technique that can be used to extract parameters able to describe meaningful features of an image or ROI. Texture analysis based on the gray level co-occurrence matrix gives a second-order statistical description of the image or ROI. In this work, the co-occurrence matrix texture approach was used to extract information from brain MR images of patients with Friedreich ataxia and a control group, to see whether texture parameters were different between these groups. A longitudinal analysis was also performed.

Materials and methods

Twenty patients and 21 healthy controls participated in the study. Both groups had 2 sets of T1-weighted MR images obtained 1 year apart for every subject. ROIs chosen for analysis were

SUBMITTER: Santos TA 

PROVIDER: S-EPMC7964265 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature