DocumentCode :
3563945
Title :
Morphological changes of aging brain structure in MRI analysis
Author :
Binte Alam, Saadia ; Nakano, Ryosuke ; Kamiura, Naotake ; Kobashi, Syoji
Author_Institution :
Grad. Sch. of Eng., Univ. of Hyogo, Himeji, Japan
fYear :
2014
Firstpage :
683
Lastpage :
687
Abstract :
The human brain atrophies with aging. By investigating the morphological change of brain structure and comparing with the deformation of normal aging, we can diagnose the cerebral diseases such as Alzheimer´s diseases, Perkinson disease, etc. Magnetic resonance imaging (MRI) is a good diagnostic tool because it is non-invasive to the human body, and it can take the thin-sectional images with high contrast. This paper shows a method to investigate the morphological structure of the human brain using MRI. The method segments the brain region, liner and non-liner registration to a standard brain, and inverse wrapping from the standard brain. By giving some landmarks to the standard brain, we can obtain the landmark position of each subject. We investigate the morphological change using the position changes. The method has been applied to open database (IXI dataset) that contains 619 subjects whose age is 19.98-83.62 years old.
Keywords :
biomedical MRI; brain; diseases; geriatrics; image registration; medical image processing; MRI analysis; aging brain structure; cerebral disease; human brain atrophy; inverse wrapping; magnetic resonance imaging; morphological change; morphological human brain structure; nonliner registration; normal brain aging; standard brain; Atrophy; Diseases; Image segmentation; Indexes; Laplace equations; Magnetic resonance imaging; Manifolds; Aging; Brain atrophy; MRI; Morpholometry analysis; image database; manifold learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Intelligent Systems (SCIS), 2014 Joint 7th International Conference on and Advanced Intelligent Systems (ISIS), 15th International Symposium on
Type :
conf
DOI :
10.1109/SCIS-ISIS.2014.7044901
Filename :
7044901
Link To Document :
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