DocumentCode :
2767665
Title :
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
Link To Document :
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