Comparison Global Brain Volume Ratios on Alzheimer's Disease Using 3D T1 Weighted MR Images
European Journal of Science and Technology
Alzheimer's Disease is a cause of dementia that starts with the loss of cognitive functions. The degeneration that starts in memoryrelated areas in the brain spreads to other regions as the disease progresses. Volumetric losses occurring in the brain can be monitored with high resolution 3D T1-weighted magnetic resonance images. The interpretation of these images is carried out by radiologists in hospitals. However, since the voxel intensity transitions of the brain regions are not clear in
... etic resonance images, computeraided numerical methods are needed. These methods can perform pre-processing, post-processing, segmentation and volume calculation on magnetic resonance images. In this study, gray matter, white matter, cerebrospinal fluid, total intracranial volume, parenchyma, and lateral ventricle global volumes were calculated for 70 Alzheimer Patients and 70 Normal Control 3D T1-weighted magnetic resonance images taken from Open Access Series of Imaging Studies database. SPM8 and MRIcro programs, ALVIN and VBM8 libraries were used. Since the numerical methods used are found in different programs and libraries, a model is proposed which combinations should be used. Volumetric results are relative due to the different head sizes in each person. Therefore, the problem of relativity should be eliminated by proportioning each volume value with another volume value. Twenty different metrics of the brain were obtained by summing and dividing the six global volume regions obtained in different combinations. Using th ese values, it was determined whether there was a statistically significant difference between two groups by independent samples t-test. The performance of the numerical methods and the statistical results of twenty metrics obtained from global brain volumes were discussed. After measurements and evaluations, it was observed that the ratio of cerebrospinal fluid volume to gray matter volume was an important marker in the differential diagnosis of the disease.