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Article
Affiliation(s)

Alanya Alaaddin Keykubat University, Faculty of Medicine, Department of Anatomy, Alanya/Antalya 07425, Turkey

ABSTRACT

Several neuroimaging studies used the severity of specific regional atrophy for the grading of dementia. Finally, these studies suggested that hippocampus and total brain volume atrophy were the most critical finding in AD (Alzheimer’s Disease). Among the new methods, MRI-Cloud (Magnetic Resonance Imaging-Cloud) is a recently developed free, automated web-based tool that performs automated segmentation and quantification of multiple MRI modalities and provides a platform to characterize anatomy. With its ability to analyze multiple modalities in the same anatomical framework this novel volumetric analysis system offers a multi-atlas fusion approach and provides a significant improvement in segmentation accuracy in comparison to the single-atlas based analysis methods. Here we retrospectively analyzed brain volumes of 50 AD patients with the aim to compare the changes brain regional changes of Alzheimers patients linked to the degree of disease severity by using the novel MRI-Cloud measurement method. We have shown that AD patients exerted significant atrophy related to the disease severity although age, cognitive status, and sex differences were not determinants of the severity of AD

KEYWORDS

Alzheimer’s disease, MRI-Cloud, brain volume.

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