@article{ajphr2019745,
author={{Alasar, Emad M. Mukhtar and Omer, Mohammed A. Ali and Sakin, Ghada A. E.},
title={Morphometric Assessment of Aging Impact in Cranial/VentriclesĄŻ Volumes and CT/MRI Imaging Systems Parameters},
journal={American Journal of Public Health Research},
volume={7},
number={4},
pages={157--160},
year={2019},
url={http://pubs.sciepub.com/ajphr/7/4/5},
issn={2327-6703},
abstract={A retrospective study aims to assess aging impact in cranial/ventricles volumes and the effect in signal intensity of imaging modalities (CT &amp; MRI). The analysis of collected data using Excel and SPSS showed that: aging has less significant (R<SUP>2</SUP> =0.4) impact on ventricle volume generally and the correlation best fitted to equation: Volume = 1.46 age - 40.742. The impact of aging in ventricles volume was significant (p = 0.05) increment after 69 years with prominent effect among male relative to female; and steady before the age of 69 years old. Aging had less significant decreasing impact (R<SUP>2</SUP> = 0.3) in signal intensity (T<SUB>1</SUB>, T<SUB>2</SUB>) of white and gray matter and having prominent high signal intensity of white mater relative to gray mater. The age showed high significant (R<SUP>2</SUP> = 0.8) reducing impact in white matter HU that fitted to equations of the following forms: HU = 0.53 age + 9.6864; while there is an increasing impact in gray matter HU that fitted to: HU = -0.26 age + 40.093.},
doi={10.12691/ajphr-7-4-5}
publisher={Science and Education Publishing}
}