An evaluation of the significance of areas of intense signal in the MR brain images of patients with multiple sclerosis

1993 ◽  
Vol 11 (3) ◽  
pp. 311-317 ◽  
Author(s):  
I.J. Namer ◽  
O. Yu ◽  
Y. Mauss ◽  
B.E. Dumitresco ◽  
J. Chambron
Fractals ◽  
2017 ◽  
Vol 25 (04) ◽  
pp. 1740001 ◽  
Author(s):  
YELIZ KARACA ◽  
CARLO CATTANI

Magnetic resonance imaging (MRI) is the most sensitive method to detect chronic nervous system diseases such as multiple sclerosis (MS). In this paper, Brownian motion Hölder regularity functions (polynomial, periodic (sine), exponential) for 2D image, such as multifractal methods were applied to MR brain images, aiming to easily identify distressed regions, in MS patients. With these regions, we have proposed an MS classification based on the multifractal method by using the Self-Organizing Map (SOM) algorithm. Thus, we obtained a cluster analysis by identifying pixels from distressed regions in MR images through multifractal methods and by diagnosing subgroups of MS patients through artificial neural networks.


2017 ◽  
Vol 24 (6) ◽  
pp. 653-659
Author(s):  
Qiang Zheng ◽  
Honglun Li ◽  
Baode Fan ◽  
Shuanhu Wu ◽  
Jindong Xu

NeuroImage ◽  
2015 ◽  
Vol 118 ◽  
pp. 628-641 ◽  
Author(s):  
Pim Moeskops ◽  
Manon J.N.L. Benders ◽  
Sabina M. Chiţǎ ◽  
Karina J. Kersbergen ◽  
Floris Groenendaal ◽  
...  

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