scholarly journals Machine Learning for the Classification of Alzheimer’s Disease and Its Prodromal Stage Using Brain Diffusion Tensor Imaging Data: A Systematic Review

Processes ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1071
Author(s):  
Lucia Billeci ◽  
Asia Badolato ◽  
Lorenzo Bachi ◽  
Alessandro Tonacci

Alzheimer’s disease is notoriously the most common cause of dementia in the elderly, affecting an increasing number of people. Although widespread, its causes and progression modalities are complex and still not fully understood. Through neuroimaging techniques, such as diffusion Magnetic Resonance (MR), more sophisticated and specific studies of the disease can be performed, offering a valuable tool for both its diagnosis and early detection. However, processing large quantities of medical images is not an easy task, and researchers have turned their attention towards machine learning, a set of computer algorithms that automatically adapt their output towards the intended goal. In this paper, a systematic review of recent machine learning applications on diffusion tensor imaging studies of Alzheimer’s disease is presented, highlighting the fundamental aspects of each work and reporting their performance score. A few examined studies also include mild cognitive impairment in the classification problem, while others combine diffusion data with other sources, like structural magnetic resonance imaging (MRI) (multimodal analysis). The findings of the retrieved works suggest a promising role for machine learning in evaluating effective classification features, like fractional anisotropy, and in possibly performing on different image modalities with higher accuracy.

2010 ◽  
Vol 57 (5) ◽  
pp. 1257-1262 ◽  
Author(s):  
Bo-Young Choe ◽  
Youl-Hun Seoung ◽  
Hak-Moon Kim ◽  
Sung-Bong Cho ◽  
Seong-Woo Hong ◽  
...  

2012 ◽  
Vol 8 (4S_Part_1) ◽  
pp. P24-P25
Author(s):  
Martin Dyrba ◽  
Michael Ewers ◽  
Martin Wegrzyn ◽  
Claudia Plant ◽  
Annahita Oswald ◽  
...  

2016 ◽  
Vol 50 (4) ◽  
pp. 1051-1064 ◽  
Author(s):  
María Lacalle-Aurioles ◽  
Francisco Javier Navas-Sánchez ◽  
Yasser Alemán-Gómez ◽  
Javier Olazarán ◽  
Juan Adán Guzmán-De-Villoria ◽  
...  

2013 ◽  
Vol 48 (1) ◽  
pp. 78-83 ◽  
Author(s):  
Xiaogang Shu ◽  
Yuan-Yuan Qin ◽  
Shun Zhang ◽  
Jing-Jing Jiang ◽  
Yan Zhang ◽  
...  

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