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Classification of positron emission tomography images using multiple kernel learning
Segovia-Román, Fermín; Bastin, Christine; Salmon, Eric et al.
2013In Proceeding of 3rd NIPS 2013 Workshop on Machine Learning and Interpretation in NeuroImaging
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Keywords :
multiple kernel learning; automatic parcelation; positron emission tomography; mild cognitive impairment; Alzheimer's disease
Abstract :
[en] Over the last years, several approaches to analyze nuclear medicine imaging using computer systems have been proposed with the aim of assisting the diagnosis of neurodegenerative disorders. Probably one of the most complex challenges facing these approaches is to deal with the huge amount of data provided by brain images. In this work, we propose an original approach based on multiple kernel learning. First the images were parcellated (according to the structure of the brain) by means of the automatic anatomical labeling atlas. Then, the importance of each region for the assisted diagnosis was estimated using a classifi- cation procedure. Finally, all the regions were combined in a multiple kernel method in which one kernel per region was computed and all the kernels were weighted according to the importance of the region they represented. For testing purposes, a database with 46 PET images from stable mild cognitive impairment subjects and early Alzheimer’s disease converter patients was used. An accuracy rate of 73.91% was achieved when differentiating between both groups.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Segovia-Román, Fermín ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Bastin, Christine  ;  Université de Liège - ULiège > Département des sciences cliniques > Neuroimagerie des troubles de la mémoire et révalid. cogn.
Salmon, Eric  ;  Université de Liège - ULiège > Département des sciences cliniques > Neuroimagerie des troubles de la mémoire et révalid. cogn.
Phillips, Christophe  ;  Université de Liège - ULiège > Centre de recherches du cyclotron
Language :
English
Title :
Classification of positron emission tomography images using multiple kernel learning
Publication date :
2013
Event name :
3rd NIPS 2013 Workshop on Machine Learning and Interpretation in NeuroImaging
Event organizer :
The Neural Information Processing Systems (NIPS) Foundation
Event place :
Lake-Tahoe, United States
Event date :
5-10 December 2013
Audience :
International
Main work title :
Proceeding of 3rd NIPS 2013 Workshop on Machine Learning and Interpretation in NeuroImaging
Pages :
1-7
Peer reviewed :
Peer reviewed
Available on ORBi :
since 28 January 2014

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