DocumentCode
582887
Title
MR image texture analysis of the corpus callosum in different gender patients with Alzheimer´s disease
Author
Wang, Xu ; Yang, Huifang ; Tong, Longzheng ; Liu, Weifang
Author_Institution
Sch. of Biomed. Eng., Capital Med. Univ., Beijing, China
fYear
2012
fDate
15-17 July 2012
Firstpage
290
Lastpage
292
Abstract
The aim of this article is to study the texture features of corpus callosum in patients with Alzheimer´s disease (AD) and normal controls based on magnetic resonance images. Then explore the texture differences of different gender between groups. Texture analysis was performed on 18 AD patients and 18 normal controls (NC). Texture features extracted from gray level co-occurrence matrix and run-length matrix were analyzed and the statistic significance was tested between groups. The results showed that texture features of corpus callosum yielded significant differences between AD and NC group. Male and female had different texture characters. The results indicated that texture analysis could be a useful tool for the detection of pathological changes in AD and the pathological changes may be different in the two genders.
Keywords
biomedical MRI; diseases; feature extraction; image texture; matrix algebra; medical image processing; object detection; statistical testing; AD patients; Alzheimer disease; MR image texture analysis; corpus callosum; gender patients; gray level cooccurrence matrix; image texture feature extraction; magnetic resonance images; normal controls; pathological change detection; run-length matrix; statistic significance testing; texture characters; Biomedical engineering; Biomedical imaging; Dementia; Educational institutions; Feature extraction; Pathology;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2012 Third International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4577-2144-1
Type
conf
DOI
10.1109/ICICIP.2012.6391421
Filename
6391421
Link To Document