Abstract:
This study is an attempt to estimate the human age by measuring the signal
intensity of the brain gray and white matter on MRI T1weighted images.
The study was conducted at Garash international specialized hospital
(Khartoum-Sudan) during the period from June up to October 2014.
Sixty consecutive subjects were selected in both gender and with different
ages.
All subjects were scanned for axial brain using MRI 1.5 Tesla (Toshiba –
vantage). T1 and T2 weighted images were obtained at areas including
caudate nucleus head, thalamus, putamen, corpus callosum, forcipes minor
and corona radiate. And the signal intensity was measured in T1weighted
image and the data were correlated with age.
Results showed that there is significant negative relationship between the
signal intensity of brain gray and white matter and subjects ages.
New equations were established to estimate the age for subjects with known
brain signal intensity.
MRI T1 weighted image is suitable and recommended method for age
estimation that because it is the best sequence to demonstrate the normal
anatomy.
