Early detection of Alzheimer´s based on intrinsic measurements

Author

Kanel, Prabesh ; Liu, Xiuwen ; Mio, Washington

Author_Institution

Dept. of Comput. Sci., Florida State Univ., Tallahassee, FL, USA

fYear

2011

fDate

12-15 Nov. 2011

Firstpage

1014

Lastpage

1016

Abstract

Hippocampus and raphe nuclei are complex circuits that consist of distinct anatomical regions. The abnormalities due to Alzheimer´s disease (AD) are seen within the subfields of hippocampus and structures of raphe nuclei at the earlier stages of AD to different degrees. The abnormalities follow a particular pattern and can be classified into six stages of AD with a little variation among individuals. Segmenting the subfields and structures, and studying intrinsic properties among these structures can lead to novel and potentially more accurate ways for an early detection of AD, which has been challenging.

Keywords

biomedical MRI; biomedical measurement; brain; diseases; image classification; image segmentation; medical image processing; positron emission tomography; Alzheimer´s disease; PET scans; anatomical region; complex circuits; fMRI; hippocampus; image classification; image segmentation; intrinsic measurements; raphe nuclei; Dementia; Hippocampus; Image segmentation; Magnetic resonance imaging; Positron emission tomography; ‘last in first out’; MRI; PET; fMRI; hippocampus; raphe nuclei; staging;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on

Conference_Location

Atlanta, GA

Print_ISBN

978-1-4577-1612-6

Type

conf

DOI

10.1109/BIBMW.2011.6112543

Filename

6112543