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International Journal of
Radiology Research
ARCHIVES
VOL. 1, ISSUE 4 (2019)
Comparison of signal intensities of white matter and gray matter on t2w and flair axial sequences in magnetic resonance imaging of brain
Authors
Boora Navreet, Virmani Nitish, Yadav Kripanand, Sharma BB
Abstract
Purpose: The aim is to compare the signal intensities of T2W and FLAIR sequences and evaluate the age factor causing the variations in signal intensities in MRI brain. Methodology: Study involves the collection of data those age and pathology factors affecting White Matter (W.M) and Grey Matter (G.M) signal intensities in T2W and FLAIR on MRI Brain. Different areas selected on MR image include Corona Radiate for W.M fibers and caudate, Putamen, lenticular internal capsule and thalami for G.M to measure the signal intensities. Result: This study contains a total 64 patients, sub distributed in four different age groups. Correlation of signal intensities of W.M on T2W and FLAIR sequences and G.M were seen individually. Linear correlation per age group with signal intensities on T2W & FLAIR, Karl Pearson's Correlation and one-way ANOVA methods applied. In less than 20 years (p=0.912), 20 to 40 years (p=0.290), 40 to 60 years (p=0.248) and more than 60 years (p=0.777) age the relationship was found the positive significant of signal intensities of W.M on T2W & FLAIR sequences. G.M signal intensities on T2W & FLAIR sequences on less than 20 years (p=0.944), age group between 40 to 60 years (p=0.158) and above 60 years (p=0.761) were also found positive significance relationship. But non-significance in the age group 20 to 40 years (p=0.000). Conclusion: Study concluded that signal intensity values show variation with age and dependent on various pathologies. Hence signal intensity measurement can play an important role in proper diagnosis.
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Pages:33-40
How to cite this article:
Boora Navreet, Virmani Nitish, Yadav Kripanand, Sharma BB "Comparison of signal intensities of white matter and gray matter on t2w and flair axial sequences in magnetic resonance imaging of brain". International Journal of Radiology Research, Vol 1, Issue 4, 2019, Pages 33-40
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