scholarly journals Characterization of 5,7-Dichlorokynurenate-Insensitive d-[3H]Serine Binding to Synaptosomal Fraction Isolated from Rat Brain Tissues

2002 ◽  
Vol 69 (1) ◽  
pp. 399-405 ◽  
Author(s):  
Masaki Matoba ◽  
Urara Tomita ◽  
Toru Nishikawa
Author(s):  
Amal Alzain ◽  
Suhaib Alameen ◽  
Rani Elmaki ◽  
Mohamed E. M. Gar-Elnabi

This study concern to characterize the brain tissues to ischemic stroke, gray matter, white matter and CSF using texture analysisto extract classification features from CT images. The First Order Statistic techniques included sevenfeatures. To find the gray level variation in CT images it complements the FOS features extracted from CT images withgray level in pixels and estimate the variation of thesubpatterns. analyzing the image with Interactive Data Language IDL software to measure the grey level of images. The results show that the Gray Level variation and   features give classification accuracy of ischemic stroke 97.6%, gray matter95.2%, white matter 97.3% and the CSF classification accuracy 98.0%. The overall classification accuracy of brain tissues 97.0%.These relationships are stored in a Texture Dictionary that can be later used to automatically annotate new CT images with the appropriate brain tissues names.


1994 ◽  
Vol 269 (19) ◽  
pp. 14191-14198
Author(s):  
N. Nishimura ◽  
H. Nakamura ◽  
Y. Takai ◽  
K. Sano
Keyword(s):  

1989 ◽  
Vol 264 (14) ◽  
pp. 8281-8288 ◽  
Author(s):  
S Cidon ◽  
T S Sihra
Keyword(s):  

1986 ◽  
Vol 261 (22) ◽  
pp. 10257-10263
Author(s):  
R Laufer ◽  
C Gilon ◽  
M Chorev ◽  
Z Selinger
Keyword(s):  

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